Definition of Structural Plasticity
Structural plasticity is the brain’s ability to physically reshape its structure in response to learning, experiences, or environmental changes. Unlike functional plasticity, which adjusts communication between neurons, structural plasticity involves forming new synapses, remodeling dendritic spines, or altering white matter. These changes create a lasting foundation for learning, memory, and adaptation.
Until recently, scientists believed the adult brain relied mainly on functional plasticity to adapt. However, advances in brain imaging now show that structural plasticity also plays an important role, allowing the brain to reshape neural connections through mechanisms like synaptic remodeling and dendritic spine growth. This capacity enables the brain to physically adapt to new skills, experiences, and environments.
For example, learning a motor skill, like playing the piano, engages structural plasticity to reshape neural pathways. New dendritic spines form in the motor cortex, creating a physical imprint of the skill. With practice, these changes stabilize, forming a durable network that supports improved performance and lifelong learning.
In this article, we take a look at the main mechanisms of functional and structural brain plasticity. To learn more about the responsiveness of brain plasticity to the environment and life experiences, explore our accompanying piece, 8 Data-Backed Exercises to Increase Neuroplasticity.
How Structural Plasticity Shapes The Brain
As mentioned above, brain plasticity operates at two levels: functional and structural. Functional plasticity allows the brain to adjust neural activity patterns by modifying neurotransmitter release, receptor levels, and signaling pathways at the molecular level. Structural plasticity, in contrast, involves physical changes to neurons, such as remodeling their connections and shapes, to adapt and support new functions.Because of the type of changes they entail, functional plasticity is more pervasive and structural plasticity more limited. In fact, a high degree of structural invariability is an important characteristic of the mammalian central nervous system (CNS), as it ensures that neural circuits remain stable and that the specificity of neural connections is protected [1]. For that reason, neurons are largely unrenewable and neural connections are largely invariant, which is why the mammalian CNS has a very low capacity for regeneration and repair. However, adaptability is as vital as stability for optimal brain function. The brain balances these needs, using structural plasticity to physically adapt to environmental challenges while maintaining the integrity of its networks.
Structural and functional changes are driven by life experiences—what we sense, learn, and live through. That’s the essence of learning and memory: through long-lasting changes in neuronal communication and structure, our experiences get engraved into our brain and allow us to adapt our behavior [2].
Mechanisms of Structural Plasticity
Functional plasticity acts at the molecular level through modifications in neurotransmitter signaling, receptor levels, ion channel properties, and gene expression, among others. Together, those adaptations influence the patterns of neural responsiveness and activity of neurons and neural circuits.
Synaptic strengthening
Functional synaptic plasticity consists in alterations in the signaling properties of synapses, most often in the form of changes in synaptic strength in response to patterns of neuronal activity, either by strengthening or weakening synaptic communication between two neurons. [See Figure 1 for a summary of a few basic concepts about neurons and synapses.]
Figure 1 - Structure of neurons and synapses. Image adapted from OpenStax, Biology 2e (CC BY 4.0)
Synaptic strengthening means that, in response to increased activity, synapses become more efficient in transmitting information and eliciting a response in the postsynaptic neuron, thus strengthening the communication between neurons. The main form of synaptic strengthening is known as long-term potentiation (LTP). In this process, when two neurons fire in sequence, the responsiveness of the postsynaptic neuron is increased, making it more likely that it will fire the next time the presynaptic neuron fires. In an early phase, LTP involves the activation of signaling pathways and recruits existing molecules within neurons. As LTP becomes persistent, changes in gene expression take place that lead to the production of new proteins and the facilitation of neuronal communication [4,5]. Synaptic weakening, as in the case of long-term depression (LTD), is the opposite process: in response to decreased activity, synapses become less efficient and less able to elicit a response in the postsynaptic neuron, thus weakening communication between those two neurons.
LTP is one of the most relevant molecular mechanisms of learning and memory. Through LTP, relevant synaptic connections within a neuronal circuit activated by an experience are reinforced to become more efficient. This creates a “trace” of neuronal activity in the brain that acts a imprint of our experiences as it is integrated into our preexisting knowledge. The more an experience is repeated, the more permanent those synaptic changes become. That’s why you become gradually better at a skill with practice—you’re reinforcing the circuit of that memory.
[If you want to learn more about the mechanisms of LTP check out our article What is Glutamate? An Examination of the Functions, Pathways and Excitation of the Glutamate Neurotransmitter.
Intrinsic Plasticity
Synaptic communication is the process of transmitting information from one neuron to another. That information may then be conveyed by the postsynaptic neuron in the form of an action potential. [See Figure 2 for a summary of a few basic concepts about action potential generation and transmission.]
Figure 2 - Action potential. Image adapted from OpenStax, Anatomy & Physiology 2e, Ch.12 The Nervous System and Nervous Tissue (CC BY 4.0)
Whether or not an action potential is fired is determined by the summation of the many synaptic inputs a neuron is receiving and their effect on membrane polarization. In turn, changes in membrane polarization are determined by the properties, distribution, and responsiveness of ion channels in the plasma membrane of the dendrites and soma.
Ion channel activity is the key element of another type of functional plasticity known as intrinsic plasticity. This refers to changes in the excitability of neurons, i.e., the likelihood that a neuron will fire or, in other words, how prone a neuron is to generate an action potential in response to an input signal. Changes in ion channel activity can either facilitate or inhibit neuronal firing [6,7], altering the responsiveness of the neuron to synaptic inputs (i.e., its excitability). The many synaptic inputs a neuron receives affect ion channels differently, but the integration of those many inputs can either tip the balance towards increasing or decreasing neuronal excitability.
Whereas synaptic plasticity changes the strength of a specific synapse and its individual contribution to the overall likelihood that a neuron will fire, intrinsic plasticity changes how the many synaptic inputs a neuron receives are integrated into the overall activity of the neuron. Intrinsic plasticity can thus act as a signal amplifier by increasing the response amplitude and lowering the firing threshold of the neuron, or as a signal attenuator by decreasing the response amplitude and increasing the firing threshold [8].
Importantly, intrinsic excitability, like synaptic strength, can change in an activity-dependent manner as a result of our life experiences. As synaptic function is intrinsically linked to neuronal firing and the electrical properties of dendrites are intrinsically linked to synaptic input, the mechanism of synaptic and intrinsic plasticity influence each other [8]. Intrinsic plasticity is believed to complement and be synergistic with synaptic plasticity in the process of storing information [6,7].
Mechanisms of Structural Plasticity
Mechanisms of structural plasticity range from subtler changes such as synaptic remodeling and myelination of axons, to more dramatic changes such as the generation of new neurons (neurogenesis). The occurrence, extent, and types of structural plasticity varies significantly among different mammalian species and throughout their lifetime; it is unclear whether or not some of these occur in adult humans, as we’ll see.
Synapse Remodeling
In addition to being functionally plastic, synapses are also structurally modifiable through changes in synaptic structures known as dendritic spines [9–11]. These are small protrusions found along the dendrites of many types of neurons (though not all types) (Fig.3) [12].
Figure 3 - Dendritic spines. Source: Foundations of Neuroscience by Casey Henley, Ch.1 The Neuron. Michigan State University Open Libraries. (CC BY 4.0)
Spines are formed at a high rate after birth, undergo extensive pruning during postnatal development, and remain largely stable through adulthood, providing a structural substrate for long-term information storage [12–15]. But evidence from animal studies indicates that, even though synaptic remodeling decreases substantially in the adult brain, the capacity for synaptic remodeling remains large enough to have functional significance and lifelong impact on synaptic networks and behavioral adaptation [16–22]. Dendritic spines may swell or shrink, new spines may be formed, spines may be stabilized or pruned [12–15].
Synaptic remodeling often happens in association with functional synaptic plasticity, but on larger timescales [23,24], acting as a structural correlate to functional plasticity. Synaptic strengthening can be accompanied by long-term structural adjustments, including the generation of new dendritic spine next to strengthened synapses [11,21,25], while synaptic weakening can lead to opposite adaptations, such as shrinkage or pruning of dendritic spines [11].
In animal studies, motor task learning and novel sensory experiences triggered a rapid formation of new spines in the adult brain, but most of them ended up being pruned. However, a fraction of those new spines stabilized with repeated stimulation and were integrated into a functional circuit [13,16,17,26]. In the motor learning experiments, the surviving fraction stabilized as motor performance improved, with the level of performance correlating with the amount of retained new spines. Remodeled spines were maintained even after long periods of time without training, indicating that the stabilization of new spines contributed to memory consolidation by creating a structural imprint of the newly learned motor skills [13,26].
This does not mean that the number of spines actually changes with any new experience. In the motor learning experiments, in parallel to new spine formation, the pruning of old spines also took place. This means that the net result of synaptic remodeling processes may actually be the maintenance of total spine density levels when spine formation and spine loss cancel each other out [13,26]. But when spine formation and elimination are differentially affected, spine density may actually change [27]. For example, in another animal study, environmental enrichment (i.e., making the environment more stimulating cognitively and physically) lead to an actual increase in the number of spines [28].
Through synaptic remodeling processes, life experiences may induce small but permanent changes that complement functional plasticity and that refine neuronal circuits to create a stable structural basis for lifelong memory storage and behavioral adaptation [13,15,26]. Read more here for seven tips to support your memory.
White Matter and Myelin Plasticity
The CNS is arranged into gray matter and white matter. Gray matter consists primarily (but not only) of neuronal cell bodies, dendrites, and unmyelinated axons, whereas white matter is mostly made up of bundles of myelinated axons that connect different brain regions and form functional circuits. Its white color comes from myelin, the fatty coating that surrounds myelinated axons (Figure 4).
Figure 4 - Myelin. Adapted from: Foundations of Neuroscience by Casey Henley, Ch.1 The Neuron. Michigan State University Open Libraries. (CC BY 4.0)
White matter keeps develops well into adulthood (~30y) and its microstructure starts to decline around middle age (~50y) [29–32], but myelin production by oligodendrocytes (a type of glial cell) and dynamic adjustments in myelination seem to be retained through life [33–36].
Myelin provides electrical insulation to axons and allows for high-speed impulse conduction. Myelin thickness influences conduction speed, which means that changes in myelin production can influence the timing and synchrony of neuronal signals, along with other important aspects of cortical processing. Myelin production is susceptible to activity-dependent changes in neurons, thus allowing for experience-dependent white matter plasticity [37].
Studies in adult mammals have shown that increased neuronal activity can enhance oligodendrocyte generation and promote myelin thickening [38]. It was shown that motor skill learning not only changed white matter microstructure and myelination [39], but also that active myelination was actually necessary for motor skill learning [40,41]. This showed that myelin production is an important element of the neuroplastic changes underlying learning.
Human neuroimaging studies have supported the view that white matter is dynamic also in the human brain as changes in white matter have been linked to a number of learning tasks in adults [42–45]. Through changes in myelin production, white matter plasticity may enable the fine-tuning of neural networks in the adult brain and potentially throughout life, being a mechanism through which life experiences can shape brain function.
Neurogenesis
The generation of new neurons is known as neurogenesis. It is a process that, in the mammalian CNS, is very restricted beyond developmental years and declines substantially with age. Still, neurogenesis has been reported in the adult brain of several mammalian species [46,47]. Whether or not neurogenesis takes place in the human brain is still unclear and generating heated discussion [48,49].
Neurogenesis seems to be possible only in specific brain regions where the molecular and cellular microenvironment allows for neuronal development to occur [50]. These regions are known as neurogenic niches and they harbor pools of neural stem cells (NSCs)—self-renewing, multipotent stem cells of the nervous system from which neurons (and glial cells) can be born.
In adult rodents, there are two canonical neurogenic regions where NSCs reside and neurogenesis is relatively common: (1) a region called subventricular zone (SVZ) from where new neurons migrate to the olfactory bulb, and (2) the subgranular zone (SGZ) of the dentate gyrus (DG) in the hippocampus [51,52]. Neuronal precursors originating from these sites can differentiate into different types of neurons and functionally integrate into local circuits [53]. Neurogenesis outside these two regions is considered to be generally restricted, although evidence of neurogenesis has been found in other regions (with regions varying between studied species), including the neocortex, striatum, amygdala, hypothalamus, substantia nigra, cerebellum and brainstem [54].
The neurogenic capacity of those niches drops exponentially throughout life due to stem cell depletion [55]. This reduction is greater and faster in long-living mammals with larger brains; in sheep and dolphins, for example, it is virtually absent [46,56].
Similarly, in humans, neurogenesis declines dramatically with age. While evidence of hippocampal neurogenesis in the adult human brain has been reported [57,58], other studies have failed to replicate those findings and concluded that, if neurogenesis continues in the adult hippocampus, it must be extremely rare [59,60].
Studying neurogenesis in the human brain is technically and ethically difficult. So, although a lot has been learned about neurogenesis in rodents [61], and despite the hype that findings supporting adult human neurogenesis always generate, the reality is that it’s still unclear whether or to what extent the human brain shares the same capacity [62–64].
Immature Neurons in the Adult Brain
Recently, another type of structural plasticity has been presented as an alternative to the birth of new neurons from NSCs in the adult brain. The hypothesis that has been put forward is that the human adult brain may retain a pool of quiescent immature neurons generated during developmental years but that remain in a persistent state of immaturity. These could potentially be a source of new functional neurons throughout life [65].
In contrast to adult neurogenesis, which decreases in mammals with larger brains and longer lives (e.g., humans, dolphins, and sheep) [56], immature neurons seem to be present in higher numbers in those same mammals. In mammals with smaller brains, non-newly generated immature neurons (i.e., generated during embryonic development and not from stem cells in the adult brain) have been found only in the paleocortex, the evolutionarily oldest part of the cerebral cortex [66].
But in large-brain mammals (including aged non-human primates), non-newly generated immature neurons have been consistently found in the evolutionarily younger neocortex, involved in processing higher cognitive functions, and in brain regions involved in the coupling of emotions and conscious perception, such as the amygdala [67–71]. Evidence has been found for a slow, delayed maturation of those neurons and for their functional integration into pre-existing neural circuits [72–75].
In human adults, markers of immature neurons have been found in the amygdala and hippocampus. Therefore, it is possible that neurons that remain immature for decades may form a substrate for persistent plasticity in the human brain by serving as a reservoir of young neurons that may potentially be integrated into neuronal networks [68,76–78]. This hypothesis is fascinating, but the fact is that it’s still unclear if and to what extent maturation of these neurons does take place in the human brain.
It is possible that this “non-neurogenic” or “suspended neurogenesis” form of supplying new mature neurons in adulthood might have been an evolutionary alternative to neurogenesis in large-brained, long-living mammals. A possible reason is that adult neurogenesis is an “expensive” biological process that is less compatible with the characteristics of larger brains with more complex cognitive functions. This reserve of “stand by” neurons could thus be an alternative pool of new functional neurons that may be integrated throughout life in neural circuits, allowing the adult brain to better cope with cognitive demands or to offset progressive structural decline linked to aging [68,78,79].
Glial Cells as Modulators of Plasticity
Glial cells, which include microglia, astrocytes, and oligodendrocytes, have important functions in the human brain, providing functional and structural support and protection for neurons [80].
Figure 3 - Glial cells and their main functions. Image adapted from Table 12.2 in Anatomy and Physiology, Chapter 12.2 Nervous Tissue. Oregon State University. (CC BY 4.0)
During development, glial cells play important roles in assisting in the assembly of the nervous system. Once neuronal circuits are formed, glia regulate several aspects of nervous system function throughout life, including neurotransmitter synthesis, neuronal metabolism, immune surveillance, synaptic communication, neuronal network function, or blood brain barrier integrity, for example.
Glial cells are themselves highly plastic—they can proliferate, swell, and grow their cellular extensions, for example. But they also play important parts in neural plasticity. Glial cells are involved in functional synaptic plasticity, in the generation and pruning of synapses, in myelination, and in neuronal excitability, thus influencing the homeostasis and function of the CNS throughout life [81]. Also, morphological modifications of glial cells and changes in glial cell numbers may to some extent underlie structural plastic changes that manifest as increases in gray matter and white matter volume observed in cognitively stimulating contexts, for example [82]. Their coordinated actions provide critical assistance to the plastic adaptability of neurons and neural networks.
Can We Hack Neuroplasticity?
We’ve seen how the brain’s plastic capacity operates at different levels, from molecules to circuits. Neuroplastic changes occur throughout life, though the brain’s plasticity varies with age. Importantly, neuroplasticity responds to physiological and environmental factors, which raises an exciting question: Can we tap into the brain’s plastic potential to improve cognitive capacity?
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