HPC · Science Deep Dive 18 June 2026 · revised 18 October 2026

How Neuroplasticity Works: What the Evidence Shows About Brain Change.

Yes, your adult brain can still change. Studies in cells and animals show how patterns of activity can strengthen or weaken the links between brain cells. In people, brain scans show small changes in brain structure, on average, after months of practice. Here is what the science actually says, and what to do with it.

Section: Learning · Neuroplasticity
Reading time: 22 min read
Sources: 41 · reviewed

01The Short Answer

Yes, the adult brain can still change

Can an adult brain still change? Yes. Neuroplasticity is the brain's capacity to reorganise its structure and function. The adult brain can change in response to experience.^[12] For most of the twentieth century, scientists thought the adult brain was fixed: built in childhood, then slowly worn down. No single breakthrough overturned that view; findings across species, methods and decades did.^[12]

What changes when you learn? At the smallest scale, the links between brain cells grow stronger or weaker. Over months of practice, scans can also show some brain areas changing in size. Much of the detail comes from animals and from brain cells grown in a dish; the human evidence comes mainly from scans of small groups.

The best-known human example is London taxi drivers. The posterior hippocampus is the rear part of a brain region that handles spatial navigation. One scan study found it was larger in drivers than in a matched comparison group, and its size rose with years on the job.^[20] Because it compared different people at one time, it could not show which came first.^[20]

A later study compared taxi drivers with bus drivers, who drive similar hours but follow fixed routes. Only the taxi drivers had the larger posterior hippocampus.^[21] This was also a one-time comparison. It suggests that finding routes, not driving itself, is the key difference.^[21]

The stronger test followed the same people over time. Researchers recruited seventy-nine male taxi trainees and thirty-one male controls. Three to four years later, thirty-nine trainees who qualified, twenty who did not, and all thirty-one controls returned for testing.^[34] The trainees had been studying for the Knowledge, London's demanding street exam. As a group, trainees who qualified gained posterior hippocampal grey matter, the tissue that holds most nerve cell bodies. Trainees who did not qualify, and the controls, did not.^[34] Here the change came with the learning, in the same people.^[34]

The history

Change is not limited to finding your way. One study used magnetoencephalography (MEG), a scan that reads the brain's magnetic signals. It compared nine string players with six non-musicians, mapping the brain's response to the left thumb and little finger.^[8] The area for the fingers of the left hand, which press the strings, was larger in the players. The response was larger in players who began before age twelve.^[8] The effect was larger for the left little finger than for the left thumb; no comparable difference was found for the right hand.^[8] Like the first taxi study, this one compared different people at one time, so it cannot show that practice caused the difference.

This kind of change is called experience-dependent plasticity. It has been reported in jugglers,^[7] people who speak two languages,^[24] meditators^[18] and pianists.^[2] A review of studies in children and teenagers found brain changes after treatment in young people too.^[37] Most of these studies are small, and the meditation findings are disputed: later, larger trials of a mindfulness course found no change in brain structure.^[40]

How fast can it happen? In one study of twenty-four adult volunteers, half learned to juggle and half were controls.^[7] After three months of practice, the jugglers had more grey matter, on average, in areas that process motion. After three months without practice, part of that gain had gone.^[7]

This article walks through that change in five steps. They are a simplified outline pieced together from separate studies, not one proven chain. First, something happens. Second, chemical signals help regulate whether connections change. Third, two connected brain cells fire close together in time. Fourth, lasting changes depend on new proteins. Fifth, the structure of the connection can change. These studies examine different forms of cellular and structural plasticity.^[3]^[6]^[16]

What helps, and what hurts? Studies link aerobic exercise, sleep and self-testing to better learning and memory.^[9]^[30]^[27] Chronic stress and long hours of sitting are linked to a smaller hippocampus.^[23]^[13] The protocol near the end turns the helpful findings into four habits.

On the harmful side, an expert commission's modelling linked about two in five dementia cases worldwide to twelve risk factors that can be changed.^[19] They include physical inactivity, social isolation and less education.^[19] If those links are causes, removing the factors could in theory prevent that share. It is an estimate for whole populations, not a forecast for any one person.^[19]

How sure is the evidence? The cell and animal work is detailed. The human evidence rests mostly on brain scans of small groups, and it reports averages, not what happens to each person. Some findings did not hold up in later work, such as the meditation result above.^[40] The exercise result comes from one trial in older adults.^[9]

02The Mechanism

The Five Steps From Experience to Brain Change

The first step is an event: something happens. The second involves neuromodulators, chemical messengers that adjust how brain cells respond. In cellular studies, neuromodulatory signals help regulate changes in the strength of connections between brain cells.^[4]

An early clue to how connections change came from an experiment in anaesthetised rabbits. Bursts of rapid electrical stimulation left a lasting increase in the strength of connections in the hippocampus, an effect called long-term potentiation (LTP).^[6] It showed that the strength of the connections between brain cells, called synapses, can change. The strengthened responses lasted from half an hour to ten hours in this experiment.^[6] An early theory, now called Hebbian learning, proposed that repeated co-activity could strengthen a connection.^[14] The rabbit work gave the idea a physical basis.^[6]

Later work found a timing rule in lab studies. In cultured rat hippocampal cells, repeatedly pairing the firing of two connected cells strengthened some excitatory connections when the sending cell fired within about twenty milliseconds before the receiving cell.^[3] Reversing the order within a similar window weakened connections, an effect called long-term depression (LTD).^[3] Work on slices of rat cortex, the brain's outer layer, found the same principle.^[22] There, timing in thousandths of a second set both the direction and the size of the change.^[22] This rule is called spike-timing-dependent plasticity. It is one form of synaptic plasticity, meaning change in the strength of connections.

A simplified outline of the five steps, each studied separately in cell and animal work. The arrows show the order this article uses, not one proven chain, and these steps were not measured in people.

Diagram · HPC

Change can also reach beyond single connections. Experiments in adult monkeys showed change across a whole brain map. When a nerve to the hand was cut, the brain area it had served did not stay silent. Within months, the maps of nearby skin spread into it.^[25] This cortical reorganisation redrew the brain's somatosensory maps, its maps of touch, to fit the signals still arriving.^[25] In people, one study mapped the brain's movement areas while volunteers learned a piano finger exercise, either by practising it or only by imagining it. In this small study, mental and physical practice produced similar motor-map changes, while mental practice improved performance less than physical practice did.^[26] This suggests that practice done only in the head can change the brain's movement maps too.^[26]

Chronic stress matters too. In animal studies described in a major review, long periods of high stress hormones, such as cortisol, were linked to shrinking branches on hippocampal cells and to fewer new neurons.^[23] In one long-term study in people, described in that review, cortisol that rose over five years predicted a smaller hippocampus and poorer memory.^[23] Those human scans measured the size of the hippocampus, not its cell branches or new neurons.

The third step is the firing itself. As the timing studies above showed, in lab work the order in which two connected cells fire can help set whether their link strengthens or weakens. Exercise studies in people have also measured a growth factor called brain-derived neurotrophic factor (BDNF) in the blood. A pooled analysis of twenty-nine studies found that one session of aerobic exercise raised blood BDNF by a moderate amount.^[31] Regular exercise raised resting levels.^[31] Blood levels do not directly measure signalling at the brain's connections.

The fourth step is about lasting change. Cellular studies distinguish early changes in the strength of a connection from later changes that depend on new proteins. The synaptic tagging and capture hypothesis describes how a tagged connection can capture newly made proteins.^[4] Sleep may also play a part in making changes last.

One theory, the synaptic homeostasis hypothesis, proposes that waking experience strengthens connections overall and that sleep scales them back down.^[32] On this view, the scaling keeps useful signals clear of background noise and leaves room for new learning the next day.^[32] A review of sleep-dependent memory consolidation concluded that sleep is not passive rest: the brain replays and links what it learned during the day.^[30]

The fifth step is a change in structure. One review covered studies that imaged living brain cells in animals with a special microscope. It found that experience helps new dendritic spines form and stay.^[16] Spines are the small bumps on brain cells where connections are made, and unused spines are pruned. Stable spines lasted months to years, while short-lived ones came and went within days.^[16] In people, the juggling study described earlier showed change at a larger scale, in the jugglers' grey matter.^[7]

Change also reaches the brain's wiring. Myelination is the wrapping of nerve fibres in an insulating layer called myelin, made by support cells called oligodendrocytes. Myelin helps regulate how fast nerve signals travel and whether they arrive in step.^[11] White matter is the bundles of fibres that connect brain areas. A study of pianists linked the amount of practice at three life stages (childhood, adolescence and adulthood) to scan measures of specific white matter.^[2] This suggests that the brain's wiring, like its connections, may track what people practise.

These studies examine changes in connection strength, dendritic spines, grey matter and white matter, using different methods and time spans.^[3]^[16]^[7]^[2]

03Evidence

The 5 Strongest Studies on How Neuroplasticity Works

01The claim

The single load-bearing finding

The hero study finds Growth in exam passers.

The five studies below were scored on six criteria: design, sample, measurement, strength of causal evidence, replication, and how often other papers cite them. Ranks follow those scores and are an editorial judgement. Design matters most for one question: did the training cause the change? Comparing experts with beginners shows only a link. Following the same people through training, or assigning them to it at random, comes closer.

Key study result

Growth in exam passers

02How we measured

Grading the plasticity studies

Studies scored on design, sample, rigour, causality, replication, citations.

In this field, the key question is cause. Comparing experts with beginners at one time shows only a link. Following the same people through training, or assigning them to it at random, comes closer to showing that experience caused the change, rather than that people with different brains chose the training.

Rubric weights

Design/30

Sample/20

Rigour/15

Causality/15

Replication/10

Citations/10

03The spread

Heterogeneity across 5 studies

Methodological quality across the ranked studies.

The five studies used different tools on different people: scans of taxi trainees, jugglers and older adults, magnetic mapping of musicians, and arm tests after stroke. Agreement across such different methods is harder to dismiss than any one result, though effect sizes vary with study quality. The meditation findings differ by design. A review of mostly one-time comparisons found brain differences in meditators in the same direction, but methods varied widely.^[36] Two registered trials of a standard course found no structural change.^[40]

Rubric spread

→ 71 /100

Highest to lowest rubric score across the ranked studies.

04Beyond the top five

Wider evidence

What the wider evidence adds.

The hippocampal gain in the exercise trial comes from one study of older adults.^[9] Wider evidence also tempers a popular idea about learning, the growth mindset: the belief that ability can grow with effort. Pooled analyses of teaching that belief found very small average effects on school results.^[39]

The studies

5 studies, ranked.

Below: the anchor study in full; then every study's rubric score; then the supporting studies in ranked order.

01Anchor

Acquiring "the Knowledge" of London's Layout Drives Structural Brain Changes

Woollett & Maguire 2011 Longitudinal · Within-Person · Structural MRI

Learning London's streets was followed, on average, by structural brain change in the same people. The change tracked qualifying, not differences at the start.

Following the same people through training, and comparing those who qualified with those who did not, comes close to an experiment in humans. A randomised trial of Knowledge training is not practical, so this is the strongest design available for this question.

Rubric breakdown

Design27/30

Sample16/20

Rigour13/15

Causality14/15

Replication8/10

Citations9/10

Total 87/100

The strongest studies, ranked by methodological weight.

Each scored 0 to 100 against a six-criterion rubric, tagged by design and year; the anchor leads. No study in this set reaches the rubric-90 tier.

Anchor (Rank 1) Supporting

Rank Authors & title Journal · Year Finding Score

Erickson

Exercise Training Increases Size of Hippocampus and Improves Memory

Proceedings of the National Academy of Sciences · 2011

In a one-year trial, 120 adults aged 55 to 80 were randomly assigned to aerobic exercise or to stretching.^[9] The exercise group's front hippocampus grew by 2%, which the authors estimated offsets 1 to 2 years of age-related shrinkage. In the stretching group, it shrank by 1.4%. Larger gains went with higher BDNF levels in the blood, an association that cannot show cause. This is one trial in older adults; it does not establish the same effect for everyone.^[9]

82/100

Elbert

Increased Cortical Representation of the Fingers of the Left Hand in String Players

Science · 1995

In a one-time comparison of nine string players and six non-musicians, magnetic brain mapping found that the players had a larger brain area for the fingers of the left hand.^[8] The response was larger in players who began before age 12. The effect was larger for the left little finger than for the left thumb; no comparable difference was found for the right hand. Because it compared different people at one time, the study shows a link with playing, not that practice caused the change.^[8]

78/100

Draganski

Neuroplasticity: Changes in Grey Matter Induced by Training

Nature · 2004

Of 24 adult volunteers, half learned to juggle and half were controls.^[7] After three months of practice, the jugglers showed more grey matter in motion-processing areas on both sides of the brain. They also gained in an area of the left parietal lobe. Three months without practice partly reversed the gain. The controls showed no change at any point.^[7]

74/100

Wolf

Effect of Constraint-Induced Movement Therapy on Upper Extremity Function 3 to 9 Months After Stroke: The EXCITE Randomized Clinical Trial

JAMA · 2006

In a trial at seven US academic medical centres, 222 people who had had a stroke three to nine months earlier took part.^[33] They were randomly assigned to constraint-induced movement therapy (CIMT) or to usual care.^[33] The therapy limits use of the stronger arm so that the weaker arm gets intensive practice. It led to clinically meaningful gains in arm function that lasted at least a year.^[33]

71/100

04Stakes

The Cost of Disengagement

The capacity to change runs both ways. Brain areas that gain with use can lose ground with disuse, chronic stress or illness. Here are four areas where studies find these links.

01 System 01 · Hippocampal Integrity

Memory and navigation decline

The hippocampus, central to memory and navigation, changes readily with experience and is also vulnerable. One study found a smaller hippocampus in women with recurrent depression; the longer the illness had lasted, the smaller it was.^[28] Chronic stress and illness are linked to a smaller hippocampus, the structure new learning depends on. These studies show links, not which came first.

02 System 02 · Cognitive Reserve

Accelerated ageing trajectory

A major review argued that a lifetime of mental engagement builds cognitive reserve, a buffer that delays the symptoms of brain diseases such as Alzheimer's.^[29] On this view, reserve is built over a lifetime, so what you keep doing matters. The commission modelling described earlier points the same way, though it estimates the share of cases across whole populations, not any one person's risk.^[19]

System 03 · Motor Recovery Capacity

Practice helped arm recovery

In the stroke trial ranked fifth above, intensive practice improved arm function, with gains still present at one year.^[33] If you are recovering from a stroke or brain injury, follow your clinical team's rehabilitation plan; this article is not treatment advice. A separate seven-year study followed about 400 older adults.^[13] More time sitting was linked to faster shrinking of the hippocampus and faster cognitive decline, even in people who were physically active.^[13]

04 System 04 · Emotional Regulation

Stress vulnerability amplified

As the Mechanism section described, in animal studies long periods of high stress hormones are linked to shrinking branches on hippocampal cells and to fewer new neurons being made (neurogenesis). One framework holds that this weakens the brain's control of stress responses.^[23] A review argued that antidepressants work at least partly through the brain's capacity to change, especially BDNF signalling in the hippocampus.^[35] Earlier, smaller studies suggested that mindfulness training changes brain structure.^[15]^[41] But two combined, registered randomised trials of a standard mindfulness course found no structural change compared with a waiting list or with an active comparison course, a different course used as a control.^[40] Not every claimed brain-training effect holds up in a rigorous test. Chronic stress is linked to changes in brain areas that help control the stress response.

05Protocol

A 4-Step Neuroplasticity Protocol

The argument

Yes, the adult brain can still change. Cell and animal studies show how patterns of activity can strengthen or weaken the connections between brain cells, and that later, lasting changes depend on new proteins. These steps come from separate studies, not one proven chain. Human brain scans show smaller, group-level changes after months of training, and some of those gains fade when practice stops. Exercise, sleep and self-testing are linked to better learning. Chronic stress and long hours of sitting are linked to a smaller hippocampus. The size of each effect varies, and one finding, on mindfulness and brain structure, did not hold up in larger trials.

The useful point is not that the brain can change; most people already believe that. It is that studies point to conditions linked to change, and those can inform how you plan your training and recovery.

In cell studies, chemical signals called neuromodulators help regulate how much connections change.^[4] In people, effortful practice aimed at weaknesses and self-testing are linked to better skill and memory.^[10]^[27] Exercise raises BDNF in the blood,^[31] and sleep is linked to memory consolidation,^[30] but these studies did not test the best timing of exercise, practice and rest.

The five ranked studies covered taxi trainees learning London's streets,^[34] older adults in an exercise trial,^[9] string players who started young,^[8] adults learning to juggle^[7] and people regaining arm use after a stroke.^[33] Together they suggest that, on average, brains track what people practise. Some of the change fades when practice stops. Each result comes from its own group of people, and not every result has been repeated.

One trial in older adults, on one axis

The exercise group's hippocampus grew. The stretching group's shrank.

01Claim

Change follows rules

In cell and animal studies, the timing of firing, chemical signals and new proteins each help shape lasting changes at connections; these come from separate studies. Human brain scans of small groups show group-level changes after months of training. The studies cover different brain areas, time spans and groups of people.

02Consequence

Use it or lose it

Gains from practice can fade when practice stops. Chronic stress, depression and long hours of sitting are linked to a smaller hippocampus, though these studies cannot show which came first.

03Lever

Four separate habits

Four habits are drawn from separate studies with different outcomes: aerobic exercise, deliberate challenge, recall and sleep. This combination and order have not been tested.

Put it to work

Where this science goes next on HPC

AssessmentGrowth Mindset AssessmentScore where you actually stand Protocol90-Day Neuroplasticity ProtocolTurn the mechanism into practice GlossaryNeuroplasticityThe definition, held to the evidence

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RCT · 3 Meta · 3 Review · 4 Journal · 29 Book · 1 Chapter · 1

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36 Meta

Fox, K. C. R., Nijeboer, S., Dixon, M. L., Floman, J. L., Ellamil, M., Rumak, S. P., Sedlmeier, P., & Christoff, K2014

Is meditation associated with altered brain structure? A systematic review and meta-analysis of morphometric neuroimaging in meditation practitioners

Neuroscience & Biobehavioral Reviews48–73

doi: 10.1016/j.neubiorev.2014.03.016
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37 Review

Weyandt, L. L., Clarkin, C. M., Holding, E. Z., May, S. E., Marraccini, M. E., Gudmundsdottir, B. G., Shepard, E., & Thompson, L.2020

Neuroplasticity in children and adolescents in response to treatment intervention: A systematic review of the literature

Clinical and Translational Neuroscience4(2) · 2514183X2097423

doi: 10.1177/2514183x20974231
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38 Journal

Macnamara, B. N., & Maitra, M2019

The role of deliberate practice in expert performance: Revisiting Ericsson, Krampe & Tesch-Römer (1993)

Royal Society Open Science6(8)

doi: 10.1098/rsos.190327
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39 Meta

Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., & Macnamara, B. N2018

To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses

Psychological Science29(4) · 549–571

doi: 10.1177/0956797617739704
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40 RCT

Kral, T. R. A., Davis, K., Korponay, C., Hirshberg, M. J., Hoel, R., Tello, L. Y., Goldman, R. I., Rosenkranz, M. A., Lutz, A., & Davidson, R. J.2022

Absence of structural brain changes from mindfulness-based stress reduction: Two combined randomized controlled trials

Science Advances8(20) · eabk3316

doi: 10.1126/sciadv.abk3316
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41 Journal

Hölzel, B. K., Lazar, S. W., Gard, T., Schuman-Olivier, Z., Vago, D. R., & Ott, U2011

How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective

Perspectives on Psychological Science6(6) · 537–559

doi: 10.1177/1745691611419671
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The protocol card