What is Activity-Dependent Plasticity?

Introduction

Activity-dependent plasticity is a form of functional and structural neuroplasticity that arises from the use of cognitive functions and personal experience. Hence, it is the biological basis for learning and the formation of new memories. Activity-dependent plasticity is a form of neuroplasticity that arises from intrinsic or endogenous activity, as opposed to forms of neuroplasticity that arise from extrinsic or exogenous factors, such as electrical brain stimulation- or drug-induced neuroplasticity. The brain’s ability to remodel itself forms the basis of the brain’s capacity to retain memories, improve motor function, and enhance comprehension and speech amongst other things. It is this trait to retain and form memories that is associated with neural plasticity and therefore many of the functions individuals perform on a daily basis. This plasticity occurs as a result of changes in gene expression which are triggered by signalling cascades that are activated by various signalling molecules (e.g. calcium, dopamine, and glutamate, among many others) during increased neuronal activity.

The brain’s ability to adapt toward active functions allows humans to specialise in specific processes based on relative use and activity. For example, a right-handed person may perform any movement poorly with their left hand but continuous practice with the non-dominant hand can cause one to become ambidextrous.

Brief History

The idea of neural plasticity was first proposed during 1890 by William James in Principles of Psychology. During the first half of the 1900s, the word ‘plasticity’ was directly and indirectly rejected throughout science. Many scientists found it hard to receive funding because nearly everyone unanimously supported the fact that the brain was fully developed at adulthood and specific regions were unable to change functions after the critical period. It was believed that each region of the brain had a set and specific function. Despite this, several pioneers pushed the idea of plasticity through means of various experiments and research. There are others that helped to the current progress of activity-dependent plasticity but the following contributed very effective results and ideas early on.

Pioneers of Activity-Dependent Plasticity

The history of activity-dependent plasticity began with Paul Bach y Rita. With conventional ideology, being that the brain development is finalized upon adulthood, Bach y Rita designed several experiments in the late 1960s and 1970s that proved that the brain is capable of changing. These included a pivotal visual substitution method for blind people provided by tactile image projection in 1969. The basis behind this experiment was to take one sense and use it to detect another: in this case use the sense of touch on the tongue to visualize the surrounding. This experiment was years ahead of its time and led to many questions and applications. A similar experiment was reported again by Bach y Rita in 1986 where vibrotactile stimulation was delivered to the index fingertips of naïve blindfolded subjects. Even though the experiment did not yield great results, it supported the study and proposed further investigations. In 1998, his design was even further developed and tested again with a 49-point electrotactile stimulus array on the tongue. He found that five sighted adult subjects recognized shapes across all sizes 79.8% of the time, a remarkable finding that has led to the incorporation of the tongue electrotactile stimulus into cosmetically acceptable and practical designs for blind people. In later years, he has published a number of other articles including “Seeing with the brain” in 2003 where Bach y Rita addresses the plasticity of the brain relative to visual learning. Here, images are enhanced and perceived by other plastic mechanisms within the realm of information passing to the brain.

Another pioneer within the field of activity-dependent plasticity is Michael Merzenich, currently a professor in neuroscience at the University of California, San Francisco. One of his contributions includes mapping out and documenting the reorganisation of cortical regions after alterations due to plasticity. While assessing the recorded changes in the primary somatosensory cortex of adult monkeys, he looked at several features of the data including how altered schedules of activity from the skin remap to cortical modelling and other factors that affect the representational remodelling of the brain. His findings within these studies have since been applied to youth development and children with language-based learning impairments. Through many studies involving adaptive training exercises on computer, he has successfully designed methods to improve their temporal processing skills. These adaptive measures include word-processing games and comprehension tests that involve multiple regions of the brain in order to answer. The results later translated into his development of the Fast ForWord programme in 1996, which aims to enhance cognitive skills of children between kindergarten and twelfth grade by focusing on developing “phonological awareness”. It has proven very successful at helping children with a variety of cognitive complications. In addition, it has led to in depth studies of specific complications such as autism and intellectual disability and the causes of them. Alongside a team of scientists, Merzenich helped to provide evidence that autism probes monochannel perception where a stronger stimulus-driven representation dominates behaviour and weaker stimuli are practically ignored in comparison.

Structure of Neurons

Neurons are the basic functional unit of the brain and process and transmit information through signals. Many different types of neurons can be identified based on their function, such as sensory neurons or motor neurons. Each responds to specific stimuli and sends respective and appropriate chemical signals to other neurons. The basic structure of a neuron is shown here on the right and consists of a nucleus that contains genetic information; the cell body, or the soma, which is equipped with dendritic branches that mostly receive the incoming inputs from other neurons; a long, thin axon that bears axon terminals which carry the output information to other neurons. The dendrites and axons are interfaced through a small connection called a synapse. This component of the neuron contains a variety of chemical messengers and proteins that allow for the transmission of information. It is the variety of proteins and effect of the signal that fundamentally lead to the plasticity feature.

Structures and Molecular Pathways Involved

Activity-dependent plasticity of one form or another has been observed in most areas of the brain. In particular, it is thought that the reorganization of sensory and motor maps involves a variety of pathways and cellular structures related to relative activity.

Many molecules have been implicated in synaptic plasticity. Notably, AMPA and NMDA receptors are key molecules in mechanisms of long and short-term potentiation between neurons. NMDA receptors can detect local activity due to activation and therefore modify signalling in the post-synaptic cell. The increased activity and coordination between pre- and post-synaptic receptors leads to more permanent changes and therefore result in plasticity. Hebb’s postulate addresses this fact by stating that synaptic terminals are strengthened by correlated activity and will therefore sprout new branches. However, terminals that experience weakened and minimal activity will eventually lose their synaptic connection and deteriorate.

A major target of all molecular signalling is the inhibitory connections made by GABAergic neurons. These receptors exist at postsynaptic sites and along with the regulation of local inhibitory synapses have been found to be very sensitive to critical period alterations. Any alteration to the receptors leads to changed concentrations of calcium in the affected cells and can ultimately influence dendritic and axonal branching. This concentration change is the result of many kinases being activated, the byproduct of which may enhance specific gene expression.

In addition, it has been identified that the Wg postsynaptic pathway, which is responsible for the coding and production of many molecules for development events, can be bidirectionally stimulated and is responsible for the downstream alteration of the postsynaptic neuron. When the Wg presynaptic pathway is activated, however, it alters cytoskeletal structure through transcription and translation.

Cell adhesion molecules (CAMs) are also important in plasticity as they help coordinate the signalling across the synapse. More specifically, integrins, which are receptors for extracellular matrix proteins and involved with CAMs, are explicitly incorporated in synapse maturation and memory formation. They play a crucial role in the feedback regulation of excitatory synaptic strength, or long-term potentiation (LTP), and help to control synaptic strength by regulating AMPA receptors, which result in quick, short synaptic currents. But, it is the metabotropic glutamate receptor 1 (mGlu1) that has been discovered to be required for activity-dependent synaptic plasticity in associative learning.

Activity-dependent plasticity is seen in the primary visual cortex, a region of the brain that processes visual stimuli and is capable of modifying the experienced stimuli based on active sensing and arousal states. It is known that synaptic communication trends between excited and depressed states relative to the light/dark cycle. By experimentation on rats, it was found that visual experience during vigilant states leads to increased responsiveness and plastic changes in the visual cortex. More so, depressed states were found to negatively alter the stimulus so the reaction was not as energetic. This experiment proves that even the visual cortex is capable of achieving activity-dependent plasticity as it is reliant on both visual exploration and the arousal state of the animal.

Role in Learning

Activity-dependent plasticity plays a very important role in learning and in the ability of understanding new things. It is responsible for helping to adapt an individual’s brain according to the relative amount of usage and functioning. In essence, it is the brain’s ability to retain and develop memories based on activity-driven changes of synaptic strength that allow stronger learning of information. It is thought to be the growing and adapting quality of dendritic spines that provide the basis for synaptic plasticity connected to learning and memory. Dendritic spines accomplish this by transforming synaptic input into neuronal output and also by helping to define the relationship between synapses.

In recent studies, a specific gene has also been identified as having a strong role in synapse growth and activity-dependent plasticity: the microRNA 132 gene (miR132). This gene is regulated by the cAMP response element-binding (CREB) protein pathway and is capable of enhancing dendritic growth when activated. The miR132 gene is another component that is responsible for the brain’s plasticity and helps to establish stronger connections between neurons.

Another plasticity-related gene involved in learning and memory is Arc/Arg3.1. The Arc gene is activity-regulated and the transcribed mRNA is localized to activated synaptic sites where the translated protein plays a role in AMPA receptor trafficking. Arc is a member of a class of proteins called immediate early genes (IEG) that are rapidly transcribed in response to synaptic input. Of the estimated 30-40 genes that comprise the total neuronal IEG response, all are prototypical activity-dependent genes and a number have been implicated in learning and memory. For example, zif268, Arc, beta-activin, tPA, Homer, and COX-2 have all been implicated in long-term potentiation (LTP), a cellular correlate of learning and memory.

Mechanisms Involved

There are a variety of mechanisms involved in activity-dependent plasticity. These include LTP, long-term depression (LTD), synaptic elimination, neurogenesis, and synaptogenesis. The mechanisms of activity-dependent plasticity result in membrane depolarisation and calcium influx, which in turn trigger cellular changes that affect synaptic connections and gene transcription. In essence, neuronal activity regulates gene expression related to dendritic branching and synapse development. Mutations in activity-dependent transcription-related genes can lead to neurological disorders. Each of the studies’ findings aims to help proper development of the brain while improving a wide variety of tasks such as speech, movement, comprehension, and memory. More so, the findings better explain the development induced by plasticity.

It is known that during postnatal life a critical step to nervous system development is synapse elimination. The changes in synaptic connections and strength are results from LTP and LTD and are strongly regulated by the release of brain-derived neurotrophic factor (BDNF), an activity-dependent synapse-development protein. In addition to BDNF, Nogo-66 receptors, and more specifically NgR1, are also involved in the development and regulation of neuronal structure. Damage to this receptor leads to pointless LTP and attenuation of LTD. Both situations imply that NgR1 is a regulator of synaptic plasticity. From experiments, it has been found that stimulation inducing LTD leads to a reduction in synaptic strength and loss of connections but, when coupled simultaneously with low-frequency stimulation, helps the restructuring of synaptic contacts. The implications of this finding include helping people with receptor damage and providing insight into the mechanism behind LTP.

Another research model of activity-dependent plasticity includes the excitatory corticostriatal pathway that is involved in information processing related to adaptive motor behaviours and displays long-lasting synaptic changes. The change in synaptic strength is responsible for motor learning and is dependent on the simultaneous activation of glutamatergic corticostriatal and dopaminergic nigrostriatal pathways. These are the same pathways affected in Parkinson’s disease, and the degeneration of synapses within this disorder may be responsible for the loss of some cognitive abilities.

Relationship to Behaviour

Intellectual Disability

Since plasticity is such a fundamental property of brain function due to its involvement in brain development, brain repair, and cognitive processes, its proper regulation is necessary for normal physiology. Mutations within any of the genes associated with activity-dependent plasticity have been found to positively correlate with various degrees of intellectual disability. The two types of intellectual disability related to plasticity depend on dysfunctional neuronal development or alterations in molecular mechanisms involved in synaptic organisation. Complications within either of these types can greatly reduce brain capability and comprehension.

Stroke Rehabilitation

On the other hand, people with such conditions have the capacity to recover some degree of their lost abilities through continued challenges and use. An example of this can be seen in Norman Doidge’s The Brain That Changes Itself. Bach y Rita’s father had a disabling stroke that left the 65-year-old man half-paralysed and unable to speak. After one year of crawling and unusual therapy tactics including playing basic children’s games and washing pots, his father’s rehabilitation was nearly complete and he went back to his role as a professor at City College in New York. This remarkable recovery from a stroke proves that even someone with abnormal behaviour and severe medical complications can recover nearly all of the normal functions by much practice and perseverance.

Recent studies have reported that a specific gene, FMR1, is highly involved in activity-dependent plasticity and fragile X syndrome (FraX) is the result of this gene’s loss of function. The FMR1 gene produces protein FMRP, which mediates activity-dependent control of synaptic structure. The loss or absence of this gene almost certainly leads to both autism and intellectual disability. Dr. Gatto has found that early introduction of the product FMRP results in nearly complete restructuring of the synapses. This method is not as effective, though, when introduced into a mature subject and only partially accommodates for the losses of FMR1. The discovery of this gene provides a possible location for intervention for young children with these abnormalities as this gene and its product act early to construct synaptic architecture.

Stress

A common issue amongst most people in the United States is high levels of stress and also disorders associated with continuous stress. Many regions of the brain are very sensitive to stress and can be damaged with extended exposure. More importantly, many of the mechanisms involved with increased memory retention, comprehension, and adaptation are thought to involve LTP and LTD, two activity-dependent plasticity mechanisms that stress can directly suppress. Several experiments have been conducted in order to discover the specific mechanisms for this suppression and also possible intervention methods. Dr. Li and several others have actually identified the TRPV1 channel as a target to facilitate LTP and suppress LTD, therefore helping to protect the feature of synaptic plasticity and retention of memory from the effects of stress.

Future Studies

The future studies and questions for activity-dependent plasticity are nearly endless because the implications of the findings will enable many treatments. Despite many gains within the field, there are a wide variety of disorders that further understanding of activity-dependent mechanisms of plasticity would help treat and perhaps cure. These include autism, different severities of intellectual disability, schizophrenia, Parkinson’s disease, stress, and stroke. In addition to a better understanding of the various disorders, neurologists should and will look at the plasticity incurred by the immune system, as it will provide great insight into diseases and also give the basis of new immune-centred therapeutics. A better perspective of the cellular mechanisms that regulate neuronal morphology is the next step to discovering new treatments for learning and memory pathological conditions.

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An Overview of Neuroplasticity

Introduction

Neuroplasticity, also known as neural plasticity or just plasticity, is the ability of neural networks in the brain to change through growth and reorganisation. Neuroplasticity refers to the brain’s ability to reorganise and rewire its neural connections, enabling it to adapt and function in ways that differ from its prior state. This process can occur in response to learning new skills, experiencing environmental changes, recovering from injuries, or adapting to sensory or cognitive deficits. Such adaptability highlights the dynamic and ever-evolving nature of the brain, even into adulthood. These changes range from individual neuron pathways making new connections, to systematic adjustments like cortical remapping or neural oscillation. Other forms of neuroplasticity include homologous area adaptation, cross modal reassignment, map expansion, and compensatory masquerade. Examples of neuroplasticity include circuit and network changes that result from learning a new ability, information acquisition, environmental influences, pregnancy, caloric intake, practice/training, and psychological stress.

Neuroplasticity was once thought by neuroscientists to manifest only during childhood, but research in the latter half of the 20th century showed that many aspects of the brain can be altered (or are “plastic”) even through adulthood. Furthermore, starting from the primary stimulus-response sequence in simple reflexes, the organisms’ capacity to correctly detect alterations within themselves and their context depends on the concrete nervous system architecture, which evolves in a particular way already during gestation. Adequate nervous system development forms us as human beings with all necessary cognitive functions. The physicochemical properties of the mother-foetus bio-system affect the neuroplasticity of the embryonic nervous system in their ecological context. However, the developing brain exhibits a higher degree of plasticity than the adult brain. Activity-dependent plasticity can have significant implications for healthy development, learning, memory, and recovery from brain damage.

Brief History

Origin

The term plasticity was first applied to behaviour in 1890 by William James in The Principles of Psychology where the term was used to describe “a structure weak enough to yield to an influence, but strong enough not to yield all at once”. The first person to use the term neural plasticity appears to have been the Polish neuroscientist Jerzy Konorski.

One of the first experiments providing evidence for neuroplasticity was conducted in 1793, by Italian anatomist Michele Vicenzo Malacarne, who described experiments in which he paired animals, trained one of the pair extensively for years, and then dissected both. Malacarne discovered that the cerebellums of the trained animals were substantially larger than the cerebellum of the untrained animals. However, while these findings were significant, they were eventually forgotten. In 1890, the idea that the brain and its function are not fixed throughout adulthood was proposed by William James in The Principles of Psychology, though the idea was largely neglected. Up until the 1970s, neuroscientists believed that the brain’s structure and function was essentially fixed throughout adulthood.

While the brain was commonly understood as a nonrenewable organ in the early 1900s, the pioneering neuroscientist Santiago Ramón y Cajal used the term neuronal plasticity to describe nonpathological changes in the structure of adult brains. Based on his renowned neuron doctrine, Cajal first described the neuron as the fundamental unit of the nervous system that later served as an essential foundation to develop the concept of neural plasticity. Many neuroscientists used the term plasticity to explain the regenerative capacity of the peripheral nervous system only. Cajal, however, used the term plasticity to reference his findings of degeneration and regeneration in the adult brain (a part of the central nervous system). This was controversial, with some like Walther Spielmeyer and Max Bielschowsky arguing that the CNS cannot produce new cells.

The term has since been broadly applied:

Given the central importance of neuroplasticity, an outsider would be forgiven for assuming that it was well defined and that a basic and universal framework served to direct current and future hypotheses and experimentation. Sadly, however, this is not the case. While many neuroscientists use the word neuroplasticity as an umbrella term it means different things to different researchers in different subfields … In brief, a mutually agreed-upon framework does not appear to exist.

Research and Discovery

In 1923, Karl Lashley conducted experiments on rhesus monkeys that demonstrated changes in neuronal pathways, which he concluded were evidence of plasticity. Despite this, and other research that suggested plasticity, neuroscientists did not widely accept the idea of neuroplasticity.

Inspired by work from Nicolas Rashevsky, in 1943, McCulloch and Pitts proposed the artificial neuron, with a learning rule, whereby new synapses are produced when neurons fire simultaneously. This is then extensively discussed in The Organization of Behavior (Hebb, 1949) and is now known as Hebbian learning.

In 1945, Justo Gonzalo concluded from his research on brain dynamics, that, contrary to the activity of the projection areas, the “central” cortical mass (more or less equidistant from the visual, tactile and auditive projection areas), would be a “manoeuvring mass”, rather unspecific or multisensory, with capacity to increase neural excitability and re-organize the activity by means of plasticity properties. He gives as a first example of adaptation, to see upright with reversing glasses in the Stratton experiment, and specially, several first-hand brain injuries cases in which he observed dynamic and adaptive properties in their disorders, in particular in the inverted perception disorder [e.g. see pp 260–62 Vol. I (1945), p 696 Vol. II (1950)]. He stated that a sensory signal in a projection area would be only an inverted and constricted outline that would be magnified due to the increase in recruited cerebral mass, and re-inverted due to some effect of brain plasticity, in more central areas, following a spiral growth.

Marian Diamond of the University of California, Berkeley, produced the first scientific evidence of anatomical brain plasticity, publishing her research in 1964.

Other significant evidence was produced in the 1960s and after, notably from scientists including Paul Bach-y-Rita, Michael Merzenich along with Jon Kaas, as well as several others.

In the 1960s, Paul Bach-y-Rita invented a device that was tested on a small number of people, and involved a person sitting in a chair, embedded in which were nubs that were made to vibrate in ways that translated images received in a camera, allowing a form of vision via sensory substitution.

Studies in people recovering from stroke also provided support for neuroplasticity, as regions of the brain that remained healthy could sometimes take over, at least in part, functions that had been destroyed; Shepherd Ivory Franz did work in this area.

Eleanor Maguire documented changes in hippocampal structure associated with acquiring the knowledge of London’s layout in local taxi drivers. A redistribution of grey matter was indicated in London Taxi Drivers compared to controls. This work on hippocampal plasticity not only interested scientists, but also engaged the public and media worldwide.

Michael Merzenich is a neuroscientist who has been one of the pioneers of neuroplasticity for over three decades. He has made some of “the most ambitious claims for the field – that brain exercises may be as useful as drugs to treat diseases as severe as schizophrenia – that plasticity exists from cradle to the grave, and that radical improvements in cognitive functioning – how we learn, think, perceive, and remember are possible even in the elderly.” Merzenich’s work was affected by a crucial discovery made by David Hubel and Torsten Wiesel in their work with kittens. The experiment involved sewing one eye shut and recording the cortical brain maps. Hubel and Wiesel saw that the portion of the kitten’s brain associated with the shut eye was not idle, as expected. Instead, it processed visual information from the open eye. It was “…as though the brain didn’t want to waste any ‘cortical real estate’ and had found a way to rewire itself.”

This implied neuroplasticity during the critical period. However, Merzenich argued that neuroplasticity could occur beyond the critical period. His first encounter with adult plasticity came when he was engaged in a postdoctoral study with Clinton Woosley. The experiment was based on observation of what occurred in the brain when one peripheral nerve was cut and subsequently regenerated. The two scientists micromapped the hand maps of monkey brains before and after cutting a peripheral nerve and sewing the ends together. Afterwards, the hand map in the brain that they expected to be jumbled was nearly normal. This was a substantial breakthrough. Merzenich asserted that, “If the brain map could normalize its structure in response to abnormal input, the prevailing view that we are born with a hardwired system had to be wrong. The brain had to be plastic.” Merzenich received the 2016 Kavli Prize in Neuroscience “for the discovery of mechanisms that allow experience and neural activity to remodel brain function.”

Neurobiology

There are different ideas and theories on what biological processes allow for neuroplasticity to occur. The core of this phenomenon is based upon synapses and how connections between them change based on neuron functioning. It is widely agreed upon that neuroplasticity takes on many forms, as it is a result of a variety of pathways. These pathways, mainly signalling cascades, allow for gene expression alterations that lead to neuronal changes, and thus neuroplasticity.

There are a number of other factors that are thought to play a role in the biological processes underlying the changing of neural networks in the brain. Some of these factors include synapse regulation via phosphorylation, the role of inflammation and inflammatory cytokines, proteins such as Bcl-2 proteins and neutrophorins, and energy production via mitochondria.

JT Wall and J Xu have traced the mechanisms underlying neuroplasticity. Re-organisation is not cortically emergent, but occurs at every level in the processing hierarchy; this produces the map changes observed in the cerebral cortex.

Types

Christopher Shaw and Jill McEachern (eds) in “Toward a theory of Neuroplasticity”, state that there is no all-inclusive theory that overarches different frameworks and systems in the study of neuroplasticity. However, researchers often describe neuroplasticity as “the ability to make adaptive changes related to the structure and function of the nervous system.” Correspondingly, two types of neuroplasticity are often discussed: structural neuroplasticity and functional neuroplasticity.

Structural Neuroplasticity

Structural plasticity is often understood as the brain’s ability to change its neuronal connections. New neurons are constantly produced and integrated into the central nervous system throughout the life span based on this type of neuroplasticity. Researchers nowadays use multiple cross-sectional imaging methods (i.e. magnetic resonance imaging (MRI), computerised tomography (CT)) to study the structural alterations of the human brains. This type of neuroplasticity often studies the effect of various internal or external stimuli on the brain’s anatomical reorganisation. The changes of grey matter proportion or the synaptic strength in the brain are considered as examples of structural neuroplasticity. Structural neuroplasticity is currently investigated more within the field of neuroscience in current academia.

Functional Neuroplasticity

Functional plasticity refers to the brain’s ability to alter and adapt the functional properties of network of neurons. It can occur in four known ways namely:

  • Homologous area adaptation.
  • Map expansion.
  • Cross-model reassignment.
  • Compensatory masquerade.

Homologous Area Adaptation

Homologous area adaptation is the assumption of a particular cognitive process by a homologous region in the opposite hemisphere. For instance, through homologous area adaptation a cognitive task is shifted from a damaged part of the brain to its homologous area in opposite side of the brain. Homologous area adaptation is a type of functional neuroplasticity that occur usually in children rather than adults.

Map Expansion

In map expansion, cortical maps related to particular cognitive tasks expand due to frequent exposure to stimuli. Map expansion has been proven through experiments performed in relation to the study: experiment on effect of frequent stimulus on functional connectivity of the brain was observed in individuals learning spatial routes.

Cross-Model Reassignment

Cross-model reassignment involves reception of novel input signals to a brain region which has been stripped off its default input.

Compensatory Masquerade

Functional plasticity through compensatory masquerade occurs using different cognitive processes for an already established cognitive task.

Changes in the brain associated with functional neuroplasticity can occur in response to two different types of events:

  • Previous activity (activity-dependent plasticity) to acquire memory; or
  • In response to malfunction or damage of neurons (maladaptive plasticity) to compensate a pathological event

In the latter case the functions from one part of the brain transfer to another part of the brain based on the demand to produce recovery of behavioural or physiological processes. Regarding physiological forms of activity-dependent plasticity, those involving synapses are referred to as synaptic plasticity. The strengthening or weakening of synapses that results in an increase or decrease of firing rate of the neurons are called long-term potentiation (LTP) and long-term depression (LTD), respectively, and they are considered as examples of synaptic plasticity that are associated with memory. The cerebellum is a typical structure with combinations of LTP/LTD and redundancy within the circuitry, allowing plasticity at several sites. More recently it has become clearer that synaptic plasticity can be complemented by another form of activity-dependent plasticity involving the intrinsic excitability of neurons, which is referred to as intrinsic plasticity. This, as opposed to homeostatic plasticity does not necessarily maintain the overall activity of a neuron within a network but contributes to encoding memories. Also, many studies have indicated functional neuroplasticity in the level of brain networks, where training alters the strength of functional connections. Although a recent study discusses that these observed changes should not directly relate to neuroplasticity, since they may root in the systematic requirement of the brain network for reorganisation.

Applications and Examples

The adult brain is not entirely “hard-wired” with fixed neuronal circuits. There are many instances of cortical and subcortical rewiring of neuronal circuits in response to training as well as in response to injury.

There is ample evidence for the active, experience-dependent re-organisation of the synaptic networks of the brain involving multiple inter-related structures including the cerebral cortex. The specific details of how this process occurs at the molecular and ultrastructural levels are topics of active neuroscience research. The way experience can influence the synaptic organisation of the brain is also the basis for a number of theories of brain function including the general theory of mind and neural Darwinism. The concept of neuroplasticity is also central to theories of memory and learning that are associated with experience-driven alteration of synaptic structure and function in studies of classical conditioning in invertebrate animal models such as Aplysia.

There is evidence that neurogenesis (birth of brain cells) occurs in the adult, rodent brain—and such changes can persist well into old age. The evidence for neurogenesis is mainly restricted to the hippocampus and olfactory bulb, but research has revealed that other parts of the brain, including the cerebellum, may be involved as well. However, the degree of rewiring induced by the integration of new neurons in the established circuits is not known, and such rewiring may well be functionally redundant.

Treatment of Brain Damage

A surprising consequence of neuroplasticity is that the brain activity associated with a given function can be transferred to a different location; this can result from normal experience and also occurs in the process of recovery from brain injury. Neuroplasticity is the fundamental issue that supports the scientific basis for treatment of acquired brain injury with goal-directed experiential therapeutic programs in the context of rehabilitation approaches to the functional consequences of the injury.

Neuroplasticity is gaining popularity as a theory that, at least in part, explains improvements in functional outcomes with physical therapy post-stroke. Rehabilitation techniques that are supported by evidence which suggest cortical reorganisation as the mechanism of change include constraint-induced movement therapy, functional electrical stimulation, treadmill training with body-weight support, and virtual reality therapy. Robot assisted therapy is an emerging technique, which is also hypothesized to work by way of neuroplasticity, though there is currently insufficient evidence to determine the exact mechanisms of change when using this method.

One group has developed a treatment that includes increased levels of progesterone injections in brain-injured patients. “Administration of progesterone after traumatic brain injury and stroke reduces edema, inflammation, and neuronal cell death, and enhances spatial reference memory and sensory-motor recovery.” In a clinical trial, a group of severely injured patients had a 60% reduction in mortality after three days of progesterone injections. However, a study published in the New England Journal of Medicine in 2014 detailing the results of a multi-centre NIH-funded phase III clinical trial of 882 patients found that treatment of acute traumatic brain injury with the hormone progesterone provides no significant benefit to patients when compared with placebo.

Binocular Vision

For decades, researchers assumed that humans had to acquire binocular vision, in particular stereopsis, in early childhood or they would never gain it. In recent years, however, successful improvements in persons with amblyopia, convergence insufficiency or other stereo vision anomalies have become prime examples of neuroplasticity; binocular vision improvements and stereopsis recovery are now active areas of scientific and clinical research.

Phantom Limbs

In the phenomenon of phantom limb sensation, a person continues to feel pain or sensation within a part of their body that has been amputated. This is strangely common, occurring in 60–80% of amputees. An explanation for this is based on the concept of neuroplasticity, as the cortical maps of the removed limbs are believed to have become engaged with the area around them in the postcentral gyrus. This results in activity within the surrounding area of the cortex being misinterpreted by the area of the cortex formerly responsible for the amputated limb.

The relationship between phantom limb sensation and neuroplasticity is a complex one. In the early 1990s V.S. Ramachandran theorized that phantom limbs were the result of cortical remapping. However, in 1995 Herta Flor and her colleagues demonstrated that cortical remapping occurs only in patients who have phantom pain. Her research showed that phantom limb pain (rather than referred sensations) was the perceptual correlate of cortical reorganisation. This phenomenon is sometimes referred to as maladaptive plasticity.

In 2009, Lorimer Moseley and Peter Brugger carried out an experiment in which they encouraged arm amputee subjects to use visual imagery to contort their phantom limbs into impossible configurations. Four of the seven subjects succeeded in performing impossible movements of the phantom limb. This experiment suggests that the subjects had modified the neural representation of their phantom limbs and generated the motor commands needed to execute impossible movements in the absence of feedback from the body.

Chronic Pain

Individuals who have chronic pain experience prolonged pain at sites that may have been previously injured, yet are otherwise currently healthy. This phenomenon is related to neuroplasticity due to a maladaptive reorganisation of the nervous system, both peripherally and centrally. During the period of tissue damage, noxious stimuli and inflammation cause an elevation of nociceptive input from the periphery to the central nervous system. Prolonged nociception from the periphery then elicits a neuroplastic response at the cortical level to change its somatotopic organisation for the painful site, inducing central sensitisation. For instance, individuals experiencing complex regional pain syndrome demonstrate a diminished cortical somatotopic representation of the hand contralaterally as well as a decreased spacing between the hand and the mouth. Additionally, chronic pain has been reported to significantly reduce the volume of grey matter in the brain globally, and more specifically at the prefrontal cortex and right thalamus. However, following treatment, these abnormalities in cortical reorganisation and grey matter volume are resolved, as well as their symptoms. Similar results have been reported for phantom limb pain, chronic low back pain and carpal tunnel syndrome.

Meditation

A number of studies have linked meditation practice to differences in cortical thickness or density of gray matter. One of the most well-known studies to demonstrate this was led by Sara Lazar, from Harvard University, in 2000. Richard Davidson, a neuroscientist at the University of Wisconsin, has led experiments in collaboration with the Dalai Lama on effects of meditation on the brain. His results suggest that meditation may lead to change in the physical structure of brain regions associated with attention, anxiety, depression, fear, anger, and compassion as well as the ability of the body to heal itself.

Artistic Engagement and Art Therapy

There is substantial evidence that artistic engagement in a therapeutic environment can create changes in neural network connections as well as increase cognitive flexibility. In one 2013 study, researchers found evidence that long-term, habitual artistic training (e.g. musical instrument practice, purposeful painting, etc.) can “macroscopically imprint a neural network system of spontaneous activity in which the related brain regions become functionally and topologically modularized in both domain-general and domain-specific manners”. In simple terms, brains repeatedly exposed to artistic training over long periods develop adaptations to make such activity both easier and more likely to spontaneously occur.

Some researchers and academics have suggested that artistic engagement has substantially altered the human brain throughout our evolutionary history. D.W Zaidel, adjunct professor of behavioural neuroscience and contributor at VAGA, has written that “evolutionary theory links the symbolic nature of art to critical pivotal brain changes in Homo sapiens supporting increased development of language and hierarchical social grouping”.

Music Therapy

There is evidence that engaging in music-supported therapy can improve neuroplasticity in patients who are recovering from brain injuries. Music-supported therapy can be used for patients that are undergoing stroke rehabilitation where a one month study of stroke patients participating in music-supported therapy showed a significant improvement in motor control in their affected hand. Another finding was the examination of grey matter volume of adults developing brain atrophy and cognitive decline where playing a musical instrument, such as the piano, or listening to music can increase grey matter volume in areas such as the caudate nucleus, Rolandic operculum, and cerebellum. Evidence also suggests that music-supported therapy can improve cognitive performance, well-being, and social behaviour in patients who are recovering from damage to the orbitofrontal cortex (OFC) and recovering from mild traumatic brain injury. Neuroimaging post music-supported therapy revealed functional changes in OFC networks, with improvements observed in both task-based and resting-state fMRI analyses.

Fitness and Exercise

Aerobic exercise increases the production of neurotrophic factors (compounds that promote growth or survival of neurons), such as brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1 (IGF-1), and vascular endothelial growth factor (VEGF). Exercise-induced effects on the hippocampus are associated with measurable improvements in spatial memory. Consistent aerobic exercise over a period of several months induces marked clinically significant improvements in executive function (i.e. the “cognitive control” of behaviour) and increased gray matter volume in multiple brain regions, particularly those that give rise to cognitive control. The brain structures that show the greatest improvements in gray matter volume in response to aerobic exercise are the prefrontal cortex and hippocampus; moderate improvements are seen in the anterior cingulate cortex, parietal cortex, cerebellum, caudate nucleus, and nucleus accumbens. Higher physical fitness scores (measured by VO2 max) are associated with better executive function, faster processing speed, and greater volume of the hippocampus, caudate nucleus, and nucleus accumbens.

Deafness and Loss of Hearing

Due to hearing loss, the auditory cortex and other association areas of the brain in deaf and/or hard of hearing people undergo compensatory plasticity. The auditory cortex usually reserved for processing auditory information in hearing people now is redirected to serve other functions, especially for vision and somatosensation.

Deaf individuals have enhanced peripheral visual attention, better motion change but not colour change detection ability in visual tasks, more effective visual search, and faster response time for visual targets compared to hearing individuals. Altered visual processing in deaf people is often found to be associated with the repurposing of other brain areas including primary auditory cortex, posterior parietal association cortex (PPAC), and anterior cingulate cortex (ACC). A review by Bavelier et al. (2006) summarizes many aspects on the topic of visual ability comparison between deaf and hearing individuals.

Brain areas that serve a function in auditory processing repurpose to process somatosensory information in congenitally deaf people. They have higher sensitivity in detecting frequency change in vibration above threshold and higher and more widespread activation in auditory cortex under somatosensory stimulation. However, speeded response for somatosensory stimuli is not found in deaf adults.

Cochlear Implant

Neuroplasticity is involved in the development of sensory function. The brain is born immature and then adapts to sensory inputs after birth. In the auditory system, congenital hearing loss, a rather frequent inborn condition affecting 1 of 1000 newborns, has been shown to affect auditory development, and implantation of a sensory prostheses activating the auditory system has prevented the deficits and induced functional maturation of the auditory system. Due to a sensitive period for plasticity, there is also a sensitive period for such intervention within the first 2–4 years of life. Consequently, in prelingually deaf children, early cochlear implantation, as a rule, allows the children to learn the mother language and acquire acoustic communication.

Blindness

Due to vision loss, the visual cortex in blind people may undergo cross-modal plasticity, and therefore other senses may have enhanced abilities. Or the opposite could occur, with the lack of visual input weakening the development of other sensory systems. One study suggests that the right posterior middle temporal gyrus and superior occipital gyrus reveal more activation in the blind than in the sighted people during a sound-moving detection task. Several studies support the latter idea and found weakened ability in audio distance evaluation, proprioceptive reproduction, threshold for visual bisection, and judging minimum audible angle.

Human Echolocation

Human echolocation is a learned ability for humans to sense their environment from echoes. This ability is used by some blind people to navigate their environment and sense their surroundings in detail. Studies in 2010 and 2011 using functional magnetic resonance imaging techniques have shown that parts of the brain associated with visual processing are adapted for the new skill of echolocation. Studies with blind patients, for example, suggest that the click-echoes heard by these patients were processed by brain regions devoted to vision rather than audition.

Attention Deficit Hyperactivity Disorder

Reviews of MRI and electroencephalography (EEG) studies on individuals with ADHD suggest that the long-term treatment of ADHD with stimulants, such as amphetamine or methylphenidate, decreases abnormalities in brain structure and function found in subjects with ADHD, and improves function in several parts of the brain, such as the right caudate nucleus of the basal ganglia, left ventrolateral prefrontal cortex (VLPFC), and superior temporal gyrus.

In Early Child Development

Neuroplasticity is most active in childhood as a part of normal human development, and can also be seen as an especially important mechanism for children in terms of risk and resiliency. Trauma is considered a great risk as it negatively affects many areas of the brain and puts a strain on the sympathetic nervous system from constant activation. Trauma thus alters the brain’s connections such that children who have experienced trauma may be hyper vigilant or overly aroused. However, a child’s brain can cope with these adverse effects through the actions of neuroplasticity.

Neuroplasticity is shown in four different categories in children and covering a wide variety of neuronal functioning. These four types include impaired, excessive, adaptive, and plasticity.

There are many examples of neuroplasticity in human development. For example, Justine Ker and Stephen Nelson looked at the effects of musical training on neuroplasticity, and found that musical training can contribute to experience dependent structural plasticity. This is when changes in the brain occur based on experiences that are unique to an individual. Examples of this are learning multiple languages, playing a sport, doing theatre, etc. A study done by Hyde in 2009, showed that changes in the brain of children could be seen in as little as 15 months of musical training. Ker and Nelson suggest this degree of plasticity in the brains of children can “help provide a form of intervention for children… with developmental disorders and neurological diseases.”

In Animals

In a single lifespan, individuals of an animal species may encounter various changes in brain morphology. Many of these differences are caused by the release of hormones in the brain; others are the product of evolutionary factors or developmental stages. Some changes occur seasonally in species to enhance or generate response behaviours.

Seasonal Brain Changes

Changing brain behaviour and morphology to suit other seasonal behaviours is relatively common in animals. These changes can improve the chances of mating during breeding season. Examples of seasonal brain morphology change can be found within many classes and species.

Within the class Aves, black-capped chickadees experience an increase in the volume of their hippocampus and strength of neural connections to the hippocampus during fall months. These morphological changes within the hippocampus which are related to spatial memory are not limited to birds, as they can also be observed in rodents and amphibians. In songbirds, many song control nuclei in the brain increase in size during mating season. Among birds, changes in brain morphology to influence song patterns, frequency, and volume are common. Gonadotropin-releasing hormone (GnRH) immunoreactivity, or the reception of the hormone, is lowered in European starlings exposed to longer periods of light during the day.

The California sea hare, a gastropod, has more successful inhibition of egg-laying hormones outside of mating season due to increased effectiveness of inhibitors in the brain. Changes to the inhibitory nature of regions of the brain can also be found in humans and other mammals. In the amphibian Bufo japonicus, part of the amygdala is larger before breeding and during hibernation than it is after breeding.

Seasonal brain variation occurs within many mammals. Part of the hypothalamus of the common ewe is more receptive to GnRH during breeding season than at other times of the year. Humans experience a change in the “size of the hypothalamic suprachiasmatic nucleus and vasopressin-immunoreactive neurons within it” during the fall, when these parts are larger. In the spring, both reduce in size.

Traumatic Brain Injury Research

A group of scientists found that if a small stroke (an infarction) is induced by obstruction of blood flow to a portion of a monkey’s motor cortex, the part of the body that responds by movement moves when areas adjacent to the damaged brain area are stimulated. In one study, intracortical microstimulation (ICMS) mapping techniques were used in nine normal monkeys. Some underwent ischemic-infarction procedures and the others, ICMS procedures. The monkeys with ischemic infarctions retained more finger flexion during food retrieval and after several months this deficit returned to preoperative levels. With respect to the distal forelimb representation, “postinfarction mapping procedures revealed that movement representations underwent reorganization throughout the adjacent, undamaged cortex.” Understanding of interaction between the damaged and undamaged areas provides a basis for better treatment plans in stroke patients. Current research includes the tracking of changes that occur in the motor areas of the cerebral cortex as a result of a stroke. Thus, events that occur in the reorganization process of the brain can be ascertained. The treatment plans that may enhance recovery from strokes, such as physiotherapy, pharmacotherapy, and electrical-stimulation therapy, are also being studied.

Jon Kaas, a professor at Vanderbilt University, has been able to show “how somatosensory area 3b and ventroposterior (VP) nucleus of the thalamus are affected by longstanding unilateral dorsal-column lesions at cervical levels in macaque monkeys.” Adult brains have the ability to change as a result of injury but the extent of the reorganization depends on the extent of the injury. His recent research focuses on the somatosensory system, which involves a sense of the body and its movements using many senses. Usually, damage of the somatosensory cortex results in impairment of the body perception. Kaas’ research project is focused on how these systems (somatosensory, cognitive, motor systems) respond with plastic changes resulting from injury.

One recent study of neuroplasticity involves work done by a team of doctors and researchers at Emory University, specifically Donald Stein and David Wright. This is the first treatment in 40 years that has significant results in treating traumatic brain injuries while also incurring no known side effects and being cheap to administer. Stein noticed that female mice seemed to recover from brain injuries better than male mice, and that at certain points in the oestrus cycle, females recovered even better. This difference may be attributed to different levels of progesterone, with higher levels of progesterone leading to the faster recovery from brain injury in mice. However, clinical trials showed progesterone offers no significant benefit for traumatic brain injury in human patients.

Ageing

Transcriptional profiling of the frontal cortex of persons ranging from 26 to 106 years of age defined a set of genes with reduced expression after age 40, and especially after age 70. Genes that play central roles in synaptic plasticity were the most significantly affected by age, generally showing reduced expression over time. There was also a marked increase in cortical DNA damage, likely oxidative DNA damage, in gene promoters with aging.

Reactive oxygen species appear to have a significant role in the regulation of synaptic plasticity and cognitive function. However age-related increases in reactive oxygen species may also lead to impairments in these functions.

Multilingualism

There is a beneficial effect of multilingualism on people’s behaviour and cognition. Numerous studies have shown that people who study more than one language have better cognitive functions and flexibilities than people who only speak one language. Bilinguals are found to have longer attention spans, stronger organisation and analyzation skills, and a better theory of mind than monolinguals. Researchers have found that the effect of multilingualism on better cognition is due to neuroplasticity.

In one prominent study, neurolinguists used a voxel-based morphometry (VBM) method to visualise the structural plasticity of brains in healthy monolinguals and bilinguals. They first investigated the differences in density of grey and white matter between two groups and found the relationship between brain structure and age of language acquisition. The results showed that grey-matter density in the inferior parietal cortex for multilinguals were significantly greater than monolinguals. The researchers also found that early bilinguals had a greater density of grey matter relative to late bilinguals in the same region. The inferior parietal cortex is a brain region highly associated with the language learning, which corresponds to the VBM result of the study.

Recent studies have also found that learning multiple languages not only re-structures the brain but also boosts brain’s capacity for plasticity. A recent study found that multilingualism not only affects the grey matter but also white matter of the brain. White matter is made up of myelinated axons that is greatly associated with learning and communication. Neurolinguists used a diffusion tensor imaging (DTI) scanning method to determine the white matter intensity between monolinguals and bilinguals. Increased myelinations in white matter tracts were found in bilingual individuals who actively used both languages in everyday life. The demand of handling more than one language requires more efficient connectivity within the brain, which resulted in greater white matter density for multilinguals.

While it is still debated whether these changes in brain are result of genetic disposition or environmental demands, many evidences suggest that environmental, social experience in early multilinguals affect the structural and functional reorganisation in the brain.

Novel Treatments of Depression

Historically, the monoamine imbalance hypothesis of depression played a dominant role in psychiatry and drug development. However, while traditional antidepressants cause a quick increase in noradrenaline, serotonin, or dopamine, there is a significant delay in their clinical effect and often an inadequate treatment response. As neuroscientists pursued this avenue of research, clinical and preclinical data across multiple modalities began to converge on pathways involved in neuroplasticity. They found a strong inverse relationship between the number of synapses and severity of depression symptoms and discovered that in addition to their neurotransmitter effect, traditional antidepressants improved neuroplasticity but over a significantly protracted time course of weeks or months. The search for faster acting antidepressants found success in the pursuit of ketamine, a well-known anaesthetic agent, that was found to have potent antidepressant effects after a single infusion due to its capacity to rapidly increase the number of dendritic spines and to restore aspects of functional connectivity. Additional neuroplasticity promoting compounds with therapeutic effects that were both rapid and enduring have been identified through classes of compounds including serotonergic psychedelics, cholinergic scopolamine, and other novel compounds. To differentiate between traditional antidepressants focused on monoamine modulation and this new category of fast acting antidepressants that achieve therapeutic effects through neuroplasticity, the term psychoplastogen was introduced.

Transhumanism and Bodyhacking

Bodyhacking, situated at the intersection of technology and biology, represents efforts to enhance human capabilities beyond natural limitations. Innovations in this field include vests that convert sound into vibrations for individuals with hearing impairments and advanced prosthetics capable of integrating with neural signals to mimic natural movement. Bodyhacking also encompasses sensory augmentation, such as implants that enable new forms of perception or interaction. While these developments demonstrate the potential to improve quality of life and expand human ability, they also raise ethical questions regarding accessibility, safety, and the integration of technology into the human body.

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What is Addiction-Related Structural Neuroplasticity?

Introduction

Addiction is a state characterised by compulsive engagement in rewarding stimuli, despite adverse consequences. The process of developing an addiction occurs through instrumental learning, which is otherwise known as operant conditioning.

Neuroscientists believe that drug addicts’ behaviour is a direct correlation to some physiological change in their brain, caused by using drugs. This view believes there is a bodily function in the brain causing the addiction. This is brought on by a change in the brain caused by brain damage or adaptation from chronic drug use.

In humans, addiction is diagnosed according to diagnostic models such as the Diagnostic and Statistical Manual of Mental Disorders, through observed behaviours. There has been significant advancement in understanding the structural changes that occur in parts of the brain involved in the reward pathway (mesolimbic system) that underlies addiction. Most research has focused on two portions of the brain: the ventral tegmental area (VTA) and the nucleus accumbens (NAc).

The VTA is the portion of the mesolimbic system responsible for spreading dopamine to the whole system. The VTA is stimulated by ″rewarding experiences″. The release of dopamine by the VTA induces pleasure, thus reinforcing behaviours that lead to the reward. Drugs of abuse increase the VTA’s ability to project dopamine to the rest of the reward circuit. These structural changes only last 7-10 days, however, indicating that the VTA cannot be the only part of the brain that is affected by drug use, and changed during the development of addiction.

The nucleus accumbens (NAc) plays an essential part in the formation of addiction. Almost every drug with addictive potential induces the release of dopamine into the NAc. In contrast to the VTA, the NAc shows long-term structural changes. Drugs of abuse weaken the connections within the NAc after habitual use, as well as after use then withdrawal.

Refer to Addiction Psychiatry, Addiction Psychology, Addiction Medicine, American Academy of Addiction Psychiatry, Addictive Personality, Addiction Vulnerability, Addiction-Related Structural Neuroplasticity, and American Society of Addiction Medicine.

Structural Changes of Learning

Learning by experience occurs through modifications of the structural circuits of the brain. These circuits are composed of many neurons and their connections, called synapses, which occur between the axon of one neuron and the dendrite of another. A single neuron generally has many dendrites which are called dendritic branches, each of which can be synapsed by many axons.

Along dendritic branches there can be hundreds or even thousands of dendritic spines, structural protrusions that are sites of excitatory synapses. These spines increase the number of axons from which the dendrite can receive information. Dendritic spines are very plastic, meaning they can be formed and eliminated very quickly, in the order of a few hours. More spines grow on a dendrite when it is repetitively activated. Dendritic spine changes have been correlated with long-term potentiation (LTP) and long-term depression (LTD).

LTP is the way that connections between neurons and synapses are strengthened. LTD is the process by which synapses are weakened. For LTP to occur, NMDA receptors on the dendritic spine send intracellular signals to increase the number of AMPA receptors on the post synaptic neuron. If a spine is stabilised by repeated activation, the spine becomes mushroom shaped and acquires many more AMPA receptors. This structural change, which is the basis of LTP, persists for months and may be an explanation for some of the long-term behavioural changes that are associated with learned behaviours, including addiction.

Research Methodologies

Animal Models

Animal models, especially rats and mice, are used for many types of biological research. The animal models of addiction are particularly useful because animals that are addicted to a substance show behaviours similar to human addicts. This implies that the structural changes that can be observed after the animal ingests a drug can be correlated with an animal’s behavioural changes, as well as with similar changes occurring in humans.

Administration Protocols

Administration of drugs that are often abused can be done either by the experimenter (non-contingent), or by a self-administration (contingent) method. The latter usually involves the animal pressing a lever to receive a drug. Non-contingent models are generally used for convenience, being useful for examining the pharmacological and structural effects of the drugs. Contingent methods are more realistic because the animal controls when and how much of the drug it receives. This is generally considered a better method for studying the behaviours associated with addiction. Contingent administration of drugs has been shown to produce larger structural changes in certain parts of the brain, in comparison to non-contingent administration.

Types of Drugs

All abused drugs directly or indirectly promote dopamine signalling in the mesolimbic dopamine neurons which project from the ventral tegmental area to the nucleus accumbens (NAc). The types of drugs used in experimentation increase this dopamine release through different mechanisms.

  • Opiates:
    • Opiates are a class of sedative with the capacity for pain relief.
    • Morphine is an opiate that is commonly used in animal testing of addiction.
    • Opiates stimulate dopamine neurons in the brain indirectly by inhibiting GABA release from modulatory interneurons that synapse onto the dopamine neurons.
    • GABA is an inhibitory neurotransmitter that decreases the probability that the target neuron will send a subsequent signal.
  • Stimulants:
    • Stimulants used regularly in neuroscience experimentation are cocaine and amphetamine.
    • These drugs induce an increase in synaptic dopamine by inhibiting the reuptake of dopamine from the synaptic cleft, effectively increasing the amount of dopamine that reaches the target neuron.

The Reward Pathway

The reward pathway, also called the mesolimbic system of the brain, is the part of the brain that registers reward and pleasure. This circuit reinforces the behaviour that leads to a positive and pleasurable outcome. In drug addiction, the drug-seeking behaviours become reinforced by the rush of dopamine that follows the administration of a drug of abuse. The effects of drugs of abuse on the ventral tegmental area (VTA) and the nucleus accumbens (NAc) have been studied extensively.

Drugs of abuse change the complexity of dendritic branching as well as the number and size of the branches in both the VTA and the NAc. By correlation, these structural changes have been linked to addictive behaviours. The effect of these structural changes on behaviour is uncertain and studies have produced conflicting results. Two studies have shown that an increase in dendritic spine density due to cocaine exposure facilitates behavioural sensitisation, while two other studies produce contradicting evidence.

In response to drugs of abuse, structural changes can be observed in the size of neurons and the shape and number of the synapses between them. The nature of the structural changes is specific to the type of drug used in the experiment. Opiates and stimulants produce opposite effects in structural plasticity in the reward pathway. It is not expected that these drugs would induce opposing structural changes in the brain because these two classes of drugs, opiates and stimulants, both cause similar behavioural phenotypes.

Both of these drugs induce increased locomotor activity acutely, escalated self-administration chronically, and dysphoria when the drug is taken away. Although their effects on structural plasticity are opposite, there are two possible explanations as to why these drugs still produce the same indicators of addiction: Either these changes produce the same behavioural phenotype when any change from baseline is produced, or the critical changes that cause the addictive behaviour cannot be quantified by measuring dendritic spine density.[citation needed]

Opiates decrease spine density and dendrite complexity in the nucleus accumbens (NAc). Morphine decreases spine density regardless of the treatment paradigm. Either chronic or intermittent administration of morphine will produce the same effect. The only case where opiates increase dendritic density is with chronic morphine exposure, which increases spine density on pyramidal neurons in the orbitofrontal cortex. Stimulants increase spinal density and dendritic complexity in the nucleus accumbens (NAc), ventral tegmental area (VTA), and other structures in the reward circuit.

Ventral Tegmental Area

There are neurons with cell bodies in the VTA that release dopamine onto specific parts of the brain, including many of the limbic regions such as the NAc, the medial prefrontal cortex (mPFC), dorsal striatum, amygdala, and the hippocampus. The VTA has both dopaminergic and GABAergic neurons that both project to the NAc and mPFC. GABAergic neurons in the VTA also synapse on local dopamine cells. In non-drug models, the VTA dopamine neurons are stimulated by rewarding experiences. A release of dopamine from the VTA neurons seems to be the driving action behind drug-induced pleasure and reward.

Exposure to drugs of abuse elicits LTP at excitatory synapses on VTA dopamine neurons. Excitatory synapses in brain slices from the VTA taken 24 hours after a single cocaine exposure showed an increase in AMPA receptors in comparison to a saline control. Additional LTP could not be induced in these synapses. This is thought to be because the maximal amount of LTP had already been induced by the administration of cocaine. LTP is only seen on the dopamine neurons, not on neighbouring GABAergic neurons. This is of interest because the administration of drugs of abuse increases the excitation of VTA dopamine neurons, but does not increase inhibition. Excitatory inputs into the VTA will activate the dopamine neurons 200%, but do not increase activation of GABA neurons which are important in local inhibition.

This effect of inducing LTP in VTA slices 24 hours after drug exposure has been shown using morphine, nicotine, ethanol, cocaine, and amphetamines. These drugs have very little in common except that they are all potentially addictive. This is evidence supporting a link between structural changes in the VTA and the development of addiction.

Changes other than LTP have been observed in the VTA after treatment with drugs of abuse. For example, neuronal body size decreased in response to opiates.

Although the structural changes in the VTA invoked by exposure to an addictive drug generally disappear after a week or two, the target regions of the VTA, including the NAc, may be where the longer-term changes associated with addiction occur during the development of the addiction.

Nucleus Accumbens

The nucleus accumbens plays an integral role in addiction. Almost every addictive drug of abuse induces the release of dopamine into the nucleus accumbens. The NAc is particularly important for instrumental learning, including cue-induced reinstatement of drug-seeking behaviour. It is also involved in mediating the initial reinforcing effects of addictive drugs. The most common cell type in the NAc is the GABAergic medium spiny neuron. These neurons project inhibitory connections to the VTA and receive excitatory input from various other structures in the limbic system. Changes in the excitatory synaptic inputs into these neurons have been shown to be important in mediating addiction-related behaviours. It has been shown that LTP and LTD occurs at NAc excitatory synapses.

Unlike the VTA, a single dose of cocaine induces no change in potentiation in the excitatory synapses of the NAc. LTD was observed in the medium spiny neurons in the NAc following two different protocols: a daily cocaine administration for five days or a single dose followed by 10-14 days of withdrawal. This suggests that the structural changes in the NAc are associated with long-term behaviours (rather than acute responses) associated with addiction such as drug seeking.

Human Relevance

Relapse

Neuroscientists studying addiction define relapse as the reinstatement of drug-seeking behaviour after a period of abstinence. The structural changes in the VTA are hypothesized to contribute to relapse. Once the molecular mechanisms of relapse are better understood, a pharmacological treatment may be developed to prevent it.

Relapse is the biggest problem for recovering addicts; an addict can be forced to abstain from using drugs while they are admitted in a treatment clinic, but once they leave the clinic they are at risk of relapse. Relapse can be triggered by stress, cues associated with past drug use, or re-exposure to the substance. Animal models of relapse can be triggered in the same way.

Search for a Cure for Addiction

The goal of addiction research is to find ways to prevent and reverse the effects of addiction on the brain. Theoretically, if the structural changes in the brain associated with addiction can be blocked, then the negative behaviours associated with the disease should never develop.

Structural changes associated with addiction can be inhibited by NMDA receptor antagonists which block the activity of NMDA receptors. NMDA receptors are essential in the process of LTP and LTD. Drugs of this class are unlikely candidates for pharmacological prevention of addiction because these drugs themselves are used recreationally. Examples of NMDAR antagonists are ketamine, dextromethorphan (DXM), phencyclidine (PCP).