Myelin plasticity: sculpting circuits in learning and memory.

Xin W; Chan JR

doi:10.1038/s41583-020-00379-8

Myelin plasticity: sculpting circuits in learning and memory.

Xin W ¹,

Chan JR ¹

Affiliations

1. Weill Institute for Neuroscience, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Authors
Xin W¹
Chan JR¹
(2 authors)

ORCIDs linked to this article

Nature reviews. Neuroscience, 12 Oct 2020, 21(12):682-694
https://doi.org/10.1038/s41583-020-00379-8 PMID: 33046886 PMCID: PMC8018611

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Abstract

Throughout our lifespan, new sensory experiences and learning continually shape our neuronal circuits to form new memories. Plasticity at the level of synapses has been recognized and studied for decades, but recent work has revealed an additional form of plasticity - affecting oligodendrocytes and the myelin sheaths they produce - that plays a crucial role in learning and memory. In this Review, we summarize recent work characterizing plasticity in the oligodendrocyte lineage following sensory experience and learning, the physiological and behavioural consequences of manipulating that plasticity, and the evidence for oligodendrocyte and myelin dysfunction in neurodevelopmental disorders with cognitive symptoms. We also discuss the limitations of existing approaches and the conceptual and technical advances that are needed to move forward this rapidly developing field.

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Nat Rev Neurosci. Author manuscript; available in PMC 2021 Jun 1.

Published in final edited form as:

Nat Rev Neurosci. 2020 Dec; 21(12): 682–694.

Published online 2020 Oct 12. https://doi.org/10.1038/s41583-020-00379-8

PMCID: PMC8018611

NIHMSID: NIHMS1686441

PMID: 33046886

Myelin plasticity: sculpting circuits in learning and memory

Wendy Xin and Jonah R. Chan

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Abstract

Throughout our lifespan, new sensory experiences and learning continually shape our neuronal circuits to form new memories. Plasticity at the level of synapses has been recognized and studied for decades, but recent work has revealed an additional form of plasticity — affecting oligodendrocytes and the myelin sheaths they produce — that plays a crucial role in learning and memory. In this Review, we summarize recent work characterizing plasticity in the oligodendrocyte lineage following sensory experience and learning, the physiological and behavioural consequences of manipulating that plasticity, and the evidence for oligodendrocyte and myelin dysfunction in neurodevelopmental disorders with cognitive symptoms. We also discuss the limitations of existing approaches and the conceptual and technical advances that are needed to move forward this rapidly developing field.

The brain’s ability to adapt to experience has long been considered the key to learning and memory. Recent reports of experience-induced changes in myelination have introduced the concept of myelination as an additional form of plasticity that could mediate long-lasting changes in neural circuit function. Though myelin has historically been considered a structurally permanent feature that serves to increase axonal conductance, genetic fate mapping and in vivo imaging have revealed that oligodendrocyte lineage cells and the myelin sheaths they produce continually change throughout an animal’s lifespan^1–9. Combined with the observation that many axons in the mammalian neocortex remain partially myelinated in adulthood¹⁰, these studies indicate that, rather than reaching a pre-programmed point of saturation, there exists a large window within which external factors could influence the rate and pattern of myelination in the brain. Indeed, there is now considerable evidence that manipulating sensory experience^2,11–13 or neuronal activity^14–16 can impact the proliferation and differentiation of oligodendrocyte lineage cells in rodents (Fig. 1). Furthermore, functional changes in the oligodendrocyte lineage appear to be required for several types of learning and memory^17–19. These findings suggest that oligodendrocytes and myelin play critical roles during and/or following learning, but exactly how they influence the underlying neural circuits remains an active and expanding area of investigation.

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Fig. 1 |

Forms of plasticity within the oligodendrocyte lineage.

Oligodendrocyte precursor cells (OPCs) proliferate and a subset of these newly formed OPCs differentiate into new oligodendrocytes^17,19. Other existing OPCs directly differentiate into new oligodendrocytes^38,39. A subset of these new oligodendrocytes undergo cell death, whereas others stably integrate into the circuit and form new sheaths on previously unmyelinated axon segments². Existing oligodendrocytes can also undergo plasticity in the form of altered sheath length and thickness^2,33,34,39 (and, under specific conditions, new sheath generation)³⁹.

Oligodendrocytes and myelin may be uniquely suited to modulate long-term changes in circuit function. Across species, mature oligodendrocytes and myelin sheaths are remarkably stable once formed^2,4,20,21. They are also the only cell type for which a pool of committed precursor cells, which can respond to environmental cues by rapidly dividing and differentiating as needed¹, are maintained throughout the brain. Once mature, a single oligodendrocyte can make upwards of 100 myelin sheaths^2,9,22. By contrast, Schwann cells — the myelinating cells present in the peripheral nervous system — form myelin around single axons. This divergence in the evolution of myelinating cells may hint at the potential of oligodendrocyte precursor cells (OPCs) to act as integrators of nearby neuronal activity and of mature oligodendrocytes to act as maestros of synchrony in neuronal circuits. Oligodendrocytes can also influence multiple aspects of neuronal function, including (but not limited to) axonal conductance, synaptic efficacy^23,24, excitability^25,26 and structural plasticity^3,27,28 (Fig. 2).

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Fig. 2 |

Modulation of neuronal function and plasticity by oligodendroglia and myelin.

Oligodendrocytes express the inward rectifying potassium channel Kir4.1 and participate in extracellular potassium clearance²⁶, which can affect neuronal excitability. They also regulate neurotransmitter release and metabolism through the expression of glutamine synthetase²³ and the release of molecules like glutamine and brain-derived neurotrophic factor (BDNF)²⁴. Differential (and adjustable) myelination patterns can regulate the precise timing of action potential arrival in various circuits^46,57,59,60. Manipulating levels of myelination also changes synapse density in development and in ageing^3,28. Oligodendrocytes and myelin may regulate structural synapse plasticity through Nogo-A²⁷. Finally, oligodendrocyte precursor cells (OPCs) may influence circuit activity in myelin-independent ways, such as through cleavage and secretion of NG2 (REF.⁴⁰).

As cell biologists and systems neuroscientists converge upon the question of how myelin shapes neuronal plasticity to influence learning and memory, greater dialogue between us is needed to uphold a high standard of rigour in our collective investigation. In service of that discourse, we summarize below the recent findings implicating oligodendrocyte lineage cells and myelin in the acquisition and maintenance of learning and memory and discuss the tools and conceptual advances that are still needed.

Experience-induced plasticity

Sensory experience and oligodendrocyte plasticity.

Several rodent studies have examined the effect of sensory deprivation on myelination. In mice, whisker trimming from birth led to increased proliferation and a more uniform distribution of OPCs in the barrel cortex at postnatal day 3 (P3) and P6 (REF.²⁹). Whisker trimming from birth, from P0 to P30, or from P30 to P60 resulted in significant reductions in the extent of myelination in the barrel cortex at P60 (REF.¹¹). A shorter period of sensory deprivation, from to P6 to P12, also led to fewer mature oligodendrocytes at P12 and more OPCs undergoing apoptosis³⁰. Intriguingly, whisker trimming from P60 to P90 induced a paradoxical increase in myelination in the barrel walls of the barrel cortex¹¹, which suggests that the rules governing input-driven myelination may vary between development and adulthood. In the visual cortex, adult rats deprived of input from one eye between P91 and P98 had increased levels of myelin basic protein (MBP) — indicating more myelination — in the non-deprived (ipsilateral) visual cortex and decreased MBP in the deprived (contralateral) cortex relative to control rats³¹. Thus, cortical myelination seems to be sensitive to sensory deprivation in both development and adulthood.

Other studies have investigated the effects of increased sensory stimulation, for example, by exposing animals to an enriched environment. Mice reared for 10 days in an enriched environment had greater numbers of newly formed OPCs (identified with bromodeoxyuridine (BrdU), which labels newly divided cells; TAble 1) and differentiated oligodendrocytes in the sensorimotor cortex than control animals housed in normal conditions³². However, there were fewer new oligodendrocytes 32 days after removal from the enriched environment, indicating that not all of the newly formed oligodendrocytes stably integrated into the circuit (Fig. 1). This interpretation is in line with findings from longitudinal in vivo imaging where, in middle-aged mice (8–14 months), only 22% of newly formed oligodendrocytes became stabilized; the remainder died within 1.8 days of downregulating the expression of NG2, a chondroitin sulfate proteoglycan that is expressed by OPCs but not by differentiated oligodendrocytes². Placing the animals in an enriched environment for 20 days increased the number of successfully integrated new oligodendrocytes by fivefold in the sensory cortex, though these cells still only accounted for 1% of the total population of oligodendrocytes². Nevertheless, these newly formed oligodendrocytes generated hundreds of additional sheaths in the imaged region, in line with previous work showing that each oligodendrocyte can form dozens of sheaths²². Studies using histology to quantify gross levels of myelin in rats also found increased myelination in middle-aged (12 months) and old (24 months) animals after being housed in enriched environments for 4 months just prior to histology^12,13. Together, these studies demonstrate a large capacity for sensory experience to shape myelination well into adulthood.

Table 1 |

Tools used to study oligodendrocyte and myelin plasticity in rodents

Approach	Advantages	Disadvantages
*Tools to impair or prevent new oligodendrocyte differentiation*
OPC-specific Cre drivers (such as NG2-CreER or PDGFRα-CreER) to conditionally knock out key genes involved in myelination (creating Myrf cKOs or Olig2 cKOs, for example)	Allows cell type-specific manipulation; onset of impaired differentiation can be controlled by tamoxifen administration	Requires an OPC Cre driver; Myrf or Olig2 may have additional functions beyond regulation of differentiation; effect is not region-specific; does not differentiate between ongoing and experience-induced myelination
*Tools to enhance myelination*
Clemastine or bazedoxifene	Does not require Cre driver; simple to administer (systemic injection)	Not cell type or region-specific; may have unknown off-target effects
OPC-specific Cre drivers (such as NG2-CreER or PDGFRα-CreER) to conditionally knock out M1R, a negative regulator of myelination (Chrm1 cKO)	Cell type-specific manipulation; onset of enhanced differentiation can be controlled by tamoxifen administration	Requires OPC Cre driver; M1R may have other effects beyond regulating differentiation; effect is not region-specific
*Methods to label new oligodendrocyte or myelin formation*
Use EdU or BrdU, together with immunostaining for PDGFRa or NG2 (OPCs), CC1 or ASPA (mature oligodendrocytes), or OLIG2 or SOX10 (oligodendrocyte lineage cells)	Does not require Cre driver; identifies OPCs, oligodendrocytes or oligodendrocyte lineage cells that arose from OPCs that proliferated after EdU or BrdU administration	Does not capture oligodendrocytes that directly differentiated without proliferating first; cannot visualize myelin sheaths
OPC-specific Cre drivers (such as NG2-CreER or PDGFRα-CreER) to drive the expression of tau-mGFP	Captures newly formed oligodendrocytes and sheaths that arose from direct differentiation and from OPCs that first proliferated; allows for visualization of myelin sheaths	Requires OPC Cre driver; does not demonstrate the presence of bona fide compact myelin
Expression of fluorescent proteins under the control of OPC-specific promoters (such as NG2-mEGFPorMOBP-EGFP)	Allows for in vivo visualization and tracking of OPCs and differentiated oligodendrocytes; allows for visualization of fine processes in both cell types	Requires in vivo longitudinal imaging to differentiate between existing and newly formed cells; does not demonstrate the presence of bona fide compact myelin

ASPA, aspartoacylase; BrdU, 5-bromo-2′-deoxyuridine; cKO, conditional knockout; EdU, 5-ethynyl-2′-deoxyuridine; OPC, oligodendrocyte precursor cell.

Social interaction and oligodendrocyte maturation.

Social isolation is another form of ‘deprivation’ that impacts oligodendrocyte maturation and myelination^33–35. Juvenile mice (P21) singly housed for 2 weeks had thinner myelin in the prefrontal cortex than group-housed controls as well as decreased levels of myelin-associated transcripts such as Mog and Mbp³³. A separate study also found that mice socially isolated for 2 weeks after weaning had reduced Mbp and Mag transcripts, fewer myelin sheaths, and thinner myelin in the prefrontal cortex at P65 (REF.³⁴). The number of oligodendrocytes was unchanged, indicating that social isolation may interfere with the progression of myelination rather than with OPC differentiation (Fig. 1). Re-integration following social isolation between P21 and P35 did not normalize myelin transcript levels by P65 (REF.³⁴), indicating the existence of a critical period during which social interaction is required for proper myelination in the prefrontal cortex. In adult animals (P60), one study found that 2 weeks of social isolation was sufficient to reduce myelin thickness³³. However, another study³⁴ found no difference in myelin transcripts in mice isolated from P35 to P65. Thus, although early social isolation (before P35) seems to robustly impair myelination in the prefrontal cortex, further work is needed to clarify the influence of adult social isolation on myelination.

Motor learning-induced oligodendrocyte plasticity.

Motor activity engages the motor cortex, which exhibits robust structural and functional neuronal plasticity following repeated motor training^36,37. The same appears to be true for oligodendrocyte lineage cells; one study found that training rats for 10 days on a skilled reaching task increased the numbers of newly generated OPCs and oligodendrocytes in the sensorimotor cortex³². In a different motor learning task, in which mice learn to run on a ‘complex wheel’ containing irregularly spaced rungs, the numbers of newly divided OPCs in the corpus callosum increased after 4 days of running¹⁷. The overall density of OPCs increased by day 6 and, after 3 weeks of running, the number of EdU-labelled (EdU⁺) mature oligodendrocytes was increased, indicating that some of the newly proliferated OPCs had differentiated into new oligodendrocytes. A follow-up study looking more closely at the timeline of new oligodendrocyte generation found that the number of EdU⁺ oligodendrocytes was already increased in the motor cortex and underlying white matter after 4 days of running³⁸. The density of new oligodendrocytes was unchanged in optic nerve, suggesting that learning-induced increases in oligodendrogenesis were restricted to task-related regions. The same study identified a small population (<5%) of Mbp-expressing and Olig2-expressing oligodendrocytes that also expressed high levels of the transcript Enpp6 (Enpp6^high oligodendrocytes)³⁸. Based on the morphology and low level of MBP protein in Enpp6^high oligodendrocytes as well as on their absence in mice that cannot form new oligodendrocytes, the authors concluded that Enpp6 labels newly differentiated oligodendrocytes, which can appear as early as 2 h after motor learning³⁸. The number of Enpp6^high oligodendrocytes increased in the callosal white matter beneath the motor cortex after only 2.5 h of complex wheel running and remained high after 8 days of running.

These findings raised the important consideration that not all newly formed oligodendrocytes necessarily come from newly divided OPCs (Fig. 1). Indeed, a study using in vivo imaging to track OPCs and oligodendrocytes over the course of motor learning on a forelimb reaching task found that, within the 4-week imaging period, nearly 90% of OPCs in the motor cortex differentiated without proliferating first³⁹. Differentiation actually decreased during the week of training, then increased in the 2 weeks post-learning. The rate of increased oligodendrogenesis was significantly correlated with the animal’s performance on the reaching task. OPC proliferation also decreased in the days following training, before returning to pre-learning rates. Furthermore, learning increased the number of retractions of existing myelin sheaths, and sheaths that were extending prior to learning stopped growing at the onset of motor training. The retraction of existing sheaths (as well as the transient suppression of OPC differentiation) may permit greater structural plasticity of neurons post-learning, allowing, for example, new sprouting of axon terminals in previously ensheathed segments.

There are some discrepancies in the studies described above regarding the timing and dynamics of OPC proliferation and differentiation during motor learning, which may be due to differences in the paradigm used. However, one finding that emerges across these studies is the existence of both oligodendrocytes that differentiate following recent OPC proliferation and oligodendrocytes that directly differentiate from existing OPCs (Fig. 1). Studies that treat animals with EdU or BrdU just prior to a behavioural manipulation may not capture the latter population, which appears to account for the majority of newly differentiated oligodendrocytes^1,39. These studies further suggest that the rapid and robust increase in OPC proliferation following certain types of learning^17–19 is a homeostatic response to replace the OPCs that directly differentiated. This large increase in the number of dividing OPCs may also have consequences beyond their subsequent differentiation; for example, transiently altered levels of NG2 in the extracellular environment could modulate certain forms of synaptic plasticity⁴⁰.

Oligodendrocyte plasticity in other forms of learning.

In a study on spatial learning, mice were administered EdU immediately following training in a water maze containing a hidden platform for escape¹⁸; 28 days after training, the number of EdU⁺ OPCs was increased in the prefrontal cortex and corpus callosum of trained mice relative to untrained controls. The number of EdU⁺ oligodendrocytes also increased in the prefrontal cortex, corpus callosum and anterior cingulate cortex. The increase in EdU⁺ oligodendrocytes and the unchanged number of EdU⁺ OPCs in the anterior cingulate suggests that learning-induced proliferation and differentiation may proceed separately and at different rates, depending on the circuit or region. Unexpectedly, EdU⁺ oligodendrocytes did not increase in other regions associated with spatial learning, including hippocampal CA1 or the alveus. Thus, oligodendrocyte plasticity following spatial learning may be more pronounced in regions associated with long-term memory consolidation^41,42.

Fear learning engages similar neural circuits to those involved in spatial learning. In one study that investigated changes to the oligodendrocyte lineage following fear conditioning, EdU administered just prior to contextual fear conditioning (CFC) revealed a significant increase in the number of EdU⁺ OLIG2-expressing (OLIG2⁺) oligodendrocyte lineage cells 24 h later in the prefrontal cortex¹⁹. After 30 days, animals that had undergone CFC had significantly more EdU⁺ oligodendrocytes and myelinated axons in the prefrontal cortex than home cage controls. In the basolateral amygdala, the number of EdU⁺ OLIG2⁺ cells was also elevated 24 h after conditioning, but the number of EdU⁺ oligodendrocytes was unchanged after 30 days — again highlighting a dissociation between initial learning-induced OPC proliferation and the eventual stabilization of newly formed oligodendrocytes. The same study also used an oligodendrocyte lineage-specific Cre driver (NG2-CreER) to drive the expression of tau-mGFP and label newly formed oligodendrocytes (tau is expressed in oligodendrocytes but not OPCs; thus, mGFP labels only newly differentiated cells; TAble 2) by administering tamoxifen just prior to CFC. Compared to home cage controls, the number of GFP-labelled (GFP⁺) MBP-expressing (MBP⁺) cells in the prefrontal cortex of animals that had undergone CFC was increased at 14 and 30 days post-conditioning. It is worth noting that, at 7 days post-conditioning, no GFP⁺ MBP⁺ cells were detected, indicating that it takes between 7 and 14 days for new myelin to form in the prefrontal cortex of fear-conditioned animals. This time course would suggest that myelination per se may only come into play later in memory consolidation rather than having an impact on acute learning.

Table 2 |

Evidence of a requirement for oligodendrocyte and myelin plasticity in learning and memory

Learning paradigm	Age	Manipulation	Behavioural outcome and timeline	conclusion	Refs
Motor learning (complex wheel with irregularly spaced rungs)	P60–90	Conditional Myrf deletion in OPCs, preventing OPC differentiation	Impaired running speed on complex wheel (2 h after wheel exposure and throughout 8 days of training)	Oligodendrogenesis is required for motor learning	^17,38
Motor learning (pull and hold lever)	P60	Expression of extra copies of PLP1, producing thinner myelin and abnormal oligodendrocyte processes	Impaired success rate (9 days after training and throughout 1 additional week of training)	Normal myelin architecture is required for motor learning	⁴⁶
Spatial learning (water maze)	P70–84	Conditional Myrf deletion in OPCs, preventing OPC differentiation	Less time spent in platform zone (24 h, 28 days after training)	Oligodendrogenesis is required for recent and remote recall but not initial spatial learning	¹⁸
Spatial learning (water maze)	P120	Conditional Olig2 deletion in OPCs, impairing OPC differentiation	Less time spent in platform zone (24 h after training)	Oligodendrogenesis is required for recent recall but not initial spatial learning	³
Spatial learning (water maze)	P540	Conditional Chrm1 deletion in OPCs, increasing OPC differentiation	More time spent in platform zone (24 h after training)	Increasing oligodendrogenesis in aged mice improves recent recall without altering initial spatial learning	³
Fear learning (contextual fear conditioning)	P56	Conditional Myrf deletion in OPCs, preventing OPC differentiation	Less time freezing in conditioned context (30 days after conditioning)	Oligodendrogenesis is required for remote recall but not initial fear learning or recent recall	¹⁹
Spatial learning (T-maze)	P56	Conditional Cdk5 deletion from oligodendrocyte lineage cells, impairing myelination from P14 onwards (possibly earlier)	Impaired performance (after 3 h in maze), contextual/cue fear conditioning and rotarod test	Normal myelination is required for a wide range of learning and memory tasks	⁵²
Fear learning (passive avoidance and contextual and cued fear conditioning)			Impaired performance (after 24 h)
Motor learning (rotarod)			Impaired performance (after 3 trials)
Motor learning (rotarod)	‘Adult’; specific age not specified	Conditional expression of constitutively active MEK1 in mature oligodendrocytes, increasing myelin thickness in optic nerve, corpus callosum and spinal cord	No alteration in 5 days of rotarod test	Inducing hypermyelination in existing oligodendrocytes improves recent recall of a contextual fear memory but not motor learning or recent recall of a cue-related fear memory	¹⁰⁷
Fear learning (contextual fear conditioning and cued fear conditioning)	‘Adult’; specific age not specified		More freezing in conditioned context but no change in freezing to conditioned cue after 24 h)		¹⁰⁷

This table lists studies demonstrating a requirement for oligodendroglia-related processes in learning and memory but not studies only describing experience-induced or learning-induced oligodendroglial plasticity. OPC, oligodendrocyte precursor cell; P, postnatal day.

Learning-induced versus experience-induced oligodendrocyte plasticity.

One question that emerges from this body of work is whether it is possible or relevant to separate the influence of passive experience from that of learning a non-innate association or skill on the oligodendrocyte lineage. One study¹⁷ did attempt to make this distinction by training animals on a complex wheel and subsequently re-exposing them to the same wheel; only the first exposure induced an increase in motor cortex oligodendrogenesis. Other studies have not typically included a similar behavioural control. Another conceptual question to consider is whether exercise-induced or stress-induced oligodendrogenesis affects the underlying circuits in the same way that motor learning-induced or fear learning-induced oligodendrogenesis does. One can imagine that learning-induced changes may have a more specific role in preserving the circuit activity required to form or maintain memories, whereas general sensory experiences might enhance oligodendrogenesis more globally. Though challenging to address experimentally, this distinction should nevertheless be considered when interpreting results in learning paradigms, which invariably involve some components of exercise, stress, or sensory enrichment (all of which are sufficient to induce oligodendrocyte plasticity on their own).

Developmental versus experience-induced myelination.

In the growing dialogue around plasticity within the oligodendrocyte lineage, there is a tendency to distinguish between ‘developmentally programmed’ and experience-induced myelination. However, there is no clear age after which new myelin is no longer formed, even in the absence of any overt manipulation^2–4. Furthermore, myelination at very early postnatal ages also seems to be shaped by differences in the availability of external stimuli^11,29,30. These studies suggest that progression of myelination, both in development and in adulthood, is modulated by experience. Therefore, rather than framing developmental and experience-induced myelination as distinct processes, it may be more accurate to consider cell-autonomous and environmental cues as factors that interact with one another throughout life to shape the function of oligodendrocyte lineage cells.

Overall, the data from animal models as well as from human imaging studies (box 1) broadly support the same general conclusions: white matter and/or oligodendrocyte plasticity occurs in response to sensory experience and learning, and is mostly restricted to task-related brain regions; the extent of plasticity is correlated with subsequent behavioural outcomes; and, though plasticity diminishes with age, repeated training can produce changes in white matter and/or oligodendrocyte lineage cells even in older adults⁴³.

Box 1 | White matter plasticity in human imaging studies

Diffusion tensor imaging, and specifically the measurement of fractional anisotropy, has been used to quantify changes in human white matter¹⁰⁸. Fractional anisotropy, a parameter that is based on modelling the diffusivity of water molecules in the brain, decreases and becomes more directionally dependent — or anisotropic — in highly membranous regions such as myelinated axon tracts. although changes in fractional anisotropy are associated with¹⁰⁹ and typically interpreted as changes in myelination¹¹⁰, the possibility that changes in other cell types (astrocytes, oligodendrocyte precursors) or structures (axons, blood vessels) are also at least partially responsible for altered fractional anisotropy measurements cannot be ruled out¹¹¹. Nevertheless, studies using fractional anisotropy as a measure have shown that the general white matter structure in humans can be significantly altered by experience.

There is compelling evidence that skilled motor learning can induce structural changes in specific white matter tracts. in a study comparing professional concert pianists with age-matched non-musicians, diffusion tensor imaging revealed significantly higher fractional anisotropy in the internal capsule of the pianist group¹¹². Furthermore, in pianists, the number of childhood piano practice hours correlated with fractional anisotropy in the corpus callosum and fibre tracts in the frontal lobe. the regions that correlated with childhood practice were distinct from the regions that correlated with adulthood practice, which suggests that extensive practicing in adulthood can still lead to changes in some fibre tracts, albeit to a lesser extent than training in childhood. indeed, a study that trained adult participants to juggle over 6 weeks found that fractional anisotropy in white matter underlying the intraparietal sulcus was significantly higher in the trained group than in an untrained control group¹¹³. this increase was still detectable 4 weeks after the end of the training period, indicating that the adult training-induced changes may also be long lasting.

Studies have also reported a relationship between adaptations in reading ability and white matter structure in both children and adults^114–118. One study paired intensive remedial reading instruction with diffusion tensor imaging in children characterized as having poor reading abilities¹¹⁶. Participants were scanned prior to receiving 100 h of remedial instruction and then scanned a second time 6 months later. at the initial scan, poor readers had significantly lower fractional anisotropy in the anterior left centrum semiovale region relative to a control group of good readers. at the post-instruction scan, poor readers showed significantly increased fractional anisotropy in the same region. taken together, these studies demonstrate region-specific changes in human white matter following multiple forms of learning.

A role for oligodendrocyte plasticity

As discussed above, there have been numerous reports of experience-induced or learning-induced changes in the oligodendrocyte lineage. However, these studies cannot tell us what the functional relevance of these changes may be. Below, we summarize evidence suggesting that oligodendrocyte plasticity may play vital roles in learning and memory.

Motor learning.

Much of the work implicating oligodendrocyte lineage cells in learning and memory was made possible by the identification of myelin regulatory factor (Myrf)^44,45, a transcription factor required for OPC differentiation. In a landmark study, Myrf deletion was used to prevent oligodendrogenesis in adulthood¹⁷. Mice carrying a floxed Myrf gene were bred with an inducible Cre line that targets OPCs (generating Myrf conditional knockout mice (Myrf cKOs); TAble 1), allowing for the elimination of new OPC differentiation following tamoxifen administration. To investigate the role of newly generated oligodendrocytes in motor learning, the authors gave animals tamoxifen 3 weeks before exposing them to the complex running wheel. Myrf cKOs began showing deficits in running speed after 2 days of running and did not catch up to Myrf ^fl/+ littermates over 8 days of testing. In a follow-up study³⁸, the same group examined the early dynamics of motor learning and found that divergent running speeds between Myrf cKOs and control animals appeared as early as 2 h following complex wheel exposure. Training Myrf-cKO mice prior to tamoxifen administration allowed them to run at the same level as heterozygous littermates, indicating that there was no general motor impairment in Myrf cKOs and that performing a pre-learned motor skill does not require new oligodendrogenesis.

Further evidence for the involvement of oligodendrocytes in motor learning comes from a study in which mice were trained to pull and hold a lever for 600 ms in order to obtain a reward⁴⁶. In this case, the authors tested a mouse model in which subtle impairments in myelination (thinner myelin and abnormal oligodendro cyte processes) were induced by the introduction of extra copies of the myelin proteolipid protein 1 (PLP-tg mice; TAble 2). Compared to wild-type mice, PLP-tg mice began to show deficits in their success rate after 9 days of training on the lever task, which persisted after a week of extended training. The later onset of learning deficits in this model may be due to the milder impairment in myelination and the lack of impairment in OPC function. Nevertheless, the findings lend additional support to the idea that oligodendrocytes and myelin are involved in motor learning.

Spatial memory.

A similar strategy was used to determine whether new oligodendrogenesis is required for spatial learning and memory¹⁸. Myrf cKOs were trained to find a hidden platform in a water maze and tamoxifen was administered during training to induce Myrf deletion in OPCs. The time required to reach the platform steadily decreased over the training period and was similar in both Myrf cKOs and CreER negative control animals, indicating no impairment in spatial learning. However, in a recent recall test (taking place 24 h after training) and a remote recall test (taking place 28 days later), Myrf cKOs spent significantly less time than control animals in the platform zone, suggesting impaired recall of the platform location. Similarly, another study disrupted new oligodendrogenesis by conditionally deleting the transcription factor Olig2 (REF.⁴⁷) from OPCs³. Like Myrf cKOs, Olig2 cKOs had fewer newly generated oligodendrocytes than Olig2^fl/+ littermates 4 weeks after tamoxifen administration. After multiple days of training in the water maze, both groups showed similar declines in time to find the hidden platform. However, Olig2 cKOs showed a deficit in recent memory recall as evidenced by less time spent and fewer crossings into the platform zone. These results indicate that new oligodendrogenesis is required for the consolidation and/or maintenance of spatial memory, but not for initial spatial learning.

The experiments described above were conducted in relatively young adult mice (between P60 and 4 months), in which baseline myelination in the absence of any learning or novel sensory experience remains quite high³. To examine whether diminished oligodendrogenesis contributes to ageing-related deficits in spatial memory, one study genetically enhanced oligodendrogenesis through the conditional deletion of Chrm1 (encoding the muscarinic M1 receptor, a negative regulator of OPC differentiation⁴⁸) from OPCs (Chrm1 cKO) at 13 months of age³. By 18 months, Chrm1 cKOs had significantly higher levels of newly formed myelin than Chrm1^+/+ controls. Furthermore, 18-month-old Chrm1-cKO animals trained on the water maze performed significantly better in a recent recall test than control animals. Wild-type animals treated with the pro-myelinating compound clemastine for 4 months, beginning at 12 months of age, also displayed improved spatial memory in the water maze relative to vehicle-treated controls³. These results suggest that enhancing myelination in ageing could be beneficial for combatting age-related impairment in memory retention.

Fear memory.

Myrf-cKO mice have also been used to study the role of new oligodendrogenesis in fear learning¹⁹. In this study, animals were treated with tamoxifen 3 weeks prior to a single session of CFC, in which they received foot shocks in a novel context. When re-exposed to the context 24 h later, Myrf cKOs froze for the same amount of time as their CreER-negative littermates, indicating that initial fear learning and recent memory were unimpaired. However, when re-exposed to the same context 30 days later, Myrf cKOs froze significantly less than the control animals. Furthermore, fewer cFOS-expressing neurons were detected in the prefrontal cortex, basolateral amygdala, and hippocampus of Myrf cKOs following re-exposure to the context, indicating impaired retention or reactivation of fear-related engrams in these regions. The number of cFOS-expressing neurons in the somatosensory cortex or in animals exposed only to their home cages did not differ between Myrf cKOs and controls; thus, only the activation of neurons related to the fear memory was impaired by Myrf deletion. The same study also took a gain-of-function approach to ask what would happen to remote fear memory recall if myelination was enhanced by giving the animals the pro-myelinating drug clemastine^49,50 (beginning 3 days before fear conditioning and ending 21 days after conditioning). Clemastine-treated animals re-exposed to the context 30 days later froze significantly more than vehicle-treated animals. Importantly, clemastine did not influence freezing in Myrf-cKO animals, indicating that its effect on freezing behaviour is likely to occur through the modulation of OPC differentiation. Thus, fear memory retention seems to be dependent on new oligodendrogenesis and can be enhanced by a pro-myelinating drug.

To explore the impact of Myrf deletion on neuronal plasticity in fear learning, fibre photometry was used to record bulk neuronal calcium activity in the prefrontal cortex of control and Myrf-cKO animals during and following fear learning¹⁹. Previous studies have found a suppression of neuronal activity in the infralimbic subregion of the medial prefrontal cortex in response to conditioned cues 24 h after conditioning⁵¹. Although both Myrf cKOs and control mice showed suppression of infralimbic activity 1 day after training, this cue-induced suppression of activity dynamically changed with time in control mice but not in Myrf cKOs, suggesting that the normal temporal evolution of PFC neuronal responses during the consolidation period had not occurred. The initial similarity in both behavioural and neurophysiological responses between the two groups suggests that Myrf deletion specifically impairs the consolidation, but not the acquisition, of the fear memory.

There is some variance among these studies in the timing of behavioural deficits (see TAble 2 for summary), but it is clear that disrupting adult oligodendrogenesis impairs multiple forms of learning and memory. Surprisingly, disrupting developmental myelination also seems to selectively impair learning and memory-related tasks over more instinctive behaviours. Mice lacking the gene Cdk5 in oligodendrocyte lineage cells (Cdk5 cKOs)⁵² display hypomyelination as early as 14 days postnatally, which does not return to normal levels in early adulthood. 2-month-old Cdk5 cKOs, relative to controls, showed significant deficits in the T-maze test (testing short-term spatial memory), the passive avoidance test (testing recent contextual fear memory), contextual and cued fear conditioning (testing recent contextual and cued fear memory), and the rotarod test (testing motor learning), whereas anxiety-related behaviours were unchanged. Thus, normal myelination is required for a wide range of learning and memory tasks.

Disentangling the relative contributions of OPCs, oligodendrocytes and myelin.

Though there is some evidence that existing mature oligodendrocytes can contribute to circuit plasticity and learning (box 2), most studies have focused on the role of newly formed oligodendrocytes in learning and memory (TAble 2). It is currently unclear why some studies implicate oligodendrocytes and myelin in learning acquisition and recent memory^3,17,18,38, whereas others only find a role for oligodendrogenesis in preserving remote memory¹⁹. One caveat to the existing evidence is the heavy reliance on one model for disrupting oligodendrogenesis, that is, the conditional deletion of Myrf from OPCs in early adulthood to prevent new OPC differentiation (TAble 1). This powerful approach has unquestionably advanced the study of oligodendrocyte-neuron interactions in adulthood. It is easy to conclude from these studies that adaptive myelination — that is, the formation of new myelin induced by new experiences and/or learning — underlies the behavioural deficits observed in Myrf-cKO animals; however, does the evidence truly support this narrow interpretation? These studies were conducted at an age when myelination is actively proceeding in the absence of any manipulation and Myrf deletion impacts oligodendrogenesis throughout the brain. For example, although spatial learning did not increase oligodendrogenesis in the alveus of wild-type animals, knocking out Myrf decreased the numbers of EdU⁺ mature oligodendrocytes in the alveus¹⁸. Given that Myrf cKOs have globally disrupted oligodendrogenesis, including in regions not affected by learning, we cannot be certain that adaptive myelination is solely responsible for the behavioural deficits observed.

Box 2 | A role for plasticity in mature oligodendrocytes?

Although most of the focus in myelin plasticity-related studies has been on the generation of new oligodendrocytes, studies using carbon dating to birth date oligodendrocytes in post-mortem tissue suggest that oligodendrocytes turn over at relatively low rates in humans^20,119. in mice, extensions and retractions of existing sheaths have also been observed in vivo^2,4 and can be regulated by learning³⁹. thus, it is possible that existing oligodendrocytes may also influence learning and memory by forming new sheaths or remodelling existing sheaths, which could significantly impact axon conductance by altering sodium channel clustering at nodes of ranvier^57,58. One study¹⁰⁷ took a gain-of-function approach to examine this possibility by expressing a constitutively active form of the erK1/2 kinase MeK1 specifically in mature oligodendrocytes, which led to thicker myelin in the optic nerve, corpus callosum and spinal cord in adult mice. relative to wild-type mice, mutant mice performed similarly in the open field test and rotarod test but froze more in a recall session 24 h after contextual fear conditioning. interestingly, although the mutants seemed to better recall a fear-conditioned context, their response to a fear-conditioned cue (a tone) was the same as that of wild-type animals. therefore, inducing hypermyelination in existing oligodendrocytes can improve memory retention in some tasks. Of course, the question of whether mature oligodendrocytes normally participate in learning-induced adaptations will still need to be addressed through loss-of-function studies.

The rapid onset of deficits observed in Myrf cKOs during motor learning³⁸ also raises the question of whether decreased myelination is truly the culprit. One study found that mature oligodendrocytes generated after fear conditioning were only detectable after 14 days in the prefrontal cortex¹⁹. In vivo imaging revealed increased OPC differentiation rates after 1 week but not in the immediate days following motor training³⁹, suggesting that OPC differentiation is not immediately required for motor learning to proceed. Perhaps other functions fulfilled by newly formed oligodendrocytes, such as potassium buffering²⁶, neurotransmitter recycling²³ or metabolic support^53–55, are more rapidly impacted by Myrf deletion, which results in impaired learning within hours of motor training³⁸.

Furthermore, Myrf is an unusual transcription factor in that it is a transmembrane protein and must be cleaved to free an N-terminal region that translocates to the nucleus to activate the expression of myelin-associated genes⁴⁴. Could the transmembrane domain or the uncleaved MYRF protein have other functions within OPCs in addition to regulating differentiation? This possibility could account for some results that are unlikely to be caused by impaired adaptive myelination. As previously mentioned, during motor learning, Myrf cKOs exhibit deficits in performance within the first 2 h of training³⁸, which seems to preclude the involvement of newly formed compact myelin¹⁹. In the study on spatial learning¹⁸, inducing Myrf deletion during the recent memory probe test actually led to improved performance over control animals. It seems unlikely that impaired adaptive myelination could underlie this improved performance; however, it may reflect some acute adaptation in OPCs in response to Myrf deletion that temporarily heightens memory retention. One possibility is that, in the absence of MYRF, OPCs that would otherwise have differentiated instead underwent cell death and triggered local inflammation, though there are no signs of astrocyte reactivity, blood–brain barrier breakdown, or an increase in microglia or phagocytic cells in the brains of Myrf cKOs at the timepoint when they were tested (3 weeks following tamoxifen administration)^17,19. Nevertheless, low-grade inflammation could be present, or Myrf deletion could alter OPC function in other ways at a shorter timescale. To bolster the conclusion that adaptive myelination is the key cellular adaptation required in these learning and memory tasks, it may be time to validate these findings with additional complementary models, such as by conditionally deleting other transcription factors required for oligodendrocyte differentiation^3,56.

Oligodendrocytes and circuit function

The terms ‘learning’ and ‘memory’ cover a broad spectrum of behaviours and associated changes in brain function. The overall changes in a neural circuit that lead to long-lasting alterations in behaviour are still being defined. Adaptations are also likely to be distinct between different circuits and behaviours and to occur at multiple levels (molecular, cellular and network). A similar picture is beginning to emerge in the field of myelin plasticity. Changes in axon conductance are an obvious candidate mechanism underlying circuit modification by myelination, but we now recognize that oligodendrocytes and myelin can shape neuronal function in multiple ways that are potentially relevant to circuit plasticity (Fig. 2).

A frequently proposed role of adaptive myelination is to tune the conduction velocity of individual axons (by altering sodium channel clustering at nodes of Ranvier, for example)^57,58 to optimize the timing of spike arrivals in specific circuits. In the avian auditory system, myelin sheath lengths vary greatly along axon bifurcations of a single neuron, allowing action potentials to arrive at both ipsilateral and contralateral target regions within microseconds of one another, despite large differences in axon segment length⁵⁹. Similarly, action potentials in mouse thalamic neurons can reach a wide range of cortical projection targets at the same time despite considerable differences in distance, which seems to be achieved via partial myelination that can produce a near tenfold difference in conduction velocity along different parts of the same tract⁶⁰. In mice with constitutive mild hypomyelination, the latency of evoked antidromic spikes from thalamocortical axons was significantly more spread out than in control animals with normal myelination⁴⁶. A similar loss of synchrony was observed in inferior olivary inputs to the cerebellar cortex in myelin-deficient rats⁶¹, suggesting that myelination is used across brain regions and species to achieve optimal spike timing within circuits. In fear learning¹⁸, the correlation coefficient between hippocampal CA1 sharp wave ripples and anterior cingulate cortex spindles, which typically increases following fear conditioning, was unchanged in animals with impaired adult oligodendrogenesis. However, since tamoxifen (and consequent Myrf deletion from OPCs) was administered up to a day before the recordings were performed, the disruption in ripple-spindle synchrony is unlikely to be caused by a deficit in the formation of compact myelin, which may not yet have occurred^19,30. Nevertheless, this general function of oligodendrocytes and myelin is most likely an important cellular mechanism for shaping circuit function after learning.

Other functions ascribed to oligodendrocytes may affect the overall excitability of neurons. Oligodendrocytes express high levels of inward-rectifying potassium channels, particularly Kir4.1 (REF.⁶²). Deletion of Kir4.1 from oligodendrocyte lineage cells did not impact OPC differentiation or myelination but significantly reduced extracellular potassium clearance by oligodendrocytes and slowed the recovery of optic nerve axonal firing patterns after high frequency stimulation²⁶. A similar study found that Kir4.1 knockout using Olig2-Cre resulted in the progressive loss of axon integrity⁶³, though this result is slightly more difficult to interpret given that both OLIG2 and Kir4.1 are also expressed by astrocytes⁶². Still, it seems likely that oligodendrocytes can participate in regulating extracellular potassium levels, particularly during periods of high frequency neuronal firing. In support of this possibility, one study reported that cortical pyramidal neurons with oligodendrocytes tightly apposed to their cell bodies were less likely to exhibit burst firing upon bath application of extracellular potassium than those without²⁵. This result is in line with the finding that oligodendrocyte-specific Kir4.1-knockout animals develop spontaneous seizures by early adulthood²⁶. Thus, the addition of new oligodendrocytes or alterations in the expression levels of oligodendrocyte potassium channels may regulate neuronal excitability or support higher frequency firing in circuits during or following learning.

Oligodendrocytes may also influence neuronal plasticity at the level of synapses. Knockout of Rtn4, encoding neurite outgrowth inhibitor A (Nogo-A; also known as reticulon 4, a myelin-associated inhibitor of neurite outgrowth) from oligodendrocyte lineage cells increased dendritic branching complexity and spine turnover in adult cortical pyramidal neurons²⁷. It is not clear whether the neuronal adaptations are directly due to the loss of interactions with oligodendrocyte Nogo-A or due to a change in overall myelination, as Nogo-A also influences the myelinogenic potential of oligodendrocytes²². Either way, it suggests that oligodendrocytes and myelin may restrict dendritic branching and spine turnover in the cortex. Furthermore, Olig2 deletion from oligodendrocytes results in hypomyelination and reduced synapse density in the developing motor cortex²⁸. This interaction seems to persist throughout life, as genetically enhancing myelination in adulthood increased synapse density in hippocampal CA1 of aged animals³. Together, these studies demonstrate the capacity for oligodendrocytes and myelin to regulate structural synapse plasticity, which could be an important cellular mechanism through which they influence learning and memory.

Neurotransmitter recycling and release probability may also be tied to oligodendrocyte function. Oligodendrocyte-specific deletion of glutamine synthetase, an enzyme that converts glutamate into glutamine, disrupted glutamatergic synaptic transmission in the midbrain²³. Decreasing myelination overall or disrupting myelin tight junctions also led to aberrantly increased glutamate levels in the adolescent cortex⁶⁴ and adult brainstem⁶⁵. Apart from regulating neurotransmitter homeostasis, oligodendrocytes may have additional ways of influencing neurotransmitter release. Deleting the neurotrophin brain-derived neurotrophic factor (BDNF) from oligodendrocyte lineage cells significantly reduced the exocytosis of vesicular glutamate from calyx terminals in the auditory brainstem²⁴. We do not currently know whether oligodendrocyte expression of glutamate-related enzymes or of BDNF is regulated by experience, but these molecules may be important for supporting circuit activity on a shorter timescale than the formation of new compact myelin and may potentially account for the early deficits that Myrf and Olig2 cKOs exhibit in some learning paradigms^3,38.

There is some evidence that OPCs themselves can regulate neuronal signalling. Mice lacking the chondroitin sulfate proteoglycan NG2, which is highly expressed in OPCs, have reduced glutamatergic post-synaptic currents and impaired induction of NMDA receptor-dependent long-term potentiation in cortical pyramidal neurons⁴⁰. In vitro and in slices, NG2 can be cleaved in an activity-dependent manner to release an ectodomain that, when applied to brain slices derived from NG2-knockout mice, increased the number of cFOS-expressing cortical neurons. The use of a constitutive knockout limits our ability to specifically assign these phenotypes to OPCs but certainly suggests that we should further investigate their myelin-independent functions.

We have discussed several potential ways through which oligodendrocytes can influence neuronal function, but it should be noted that other mechanisms not directly related to these functions have also been implicated in learning and memory. For example, adult neurogenesis appears to be critical for certain types of hippocampus-dependent learning⁶⁶. Other cell types, namely astrocytes^67,68 and microglia^69,70, also have important roles in regulating memory formation and, in the case of microglia, memory elimination⁷¹. These other cellular mechanisms may act in parallel to direct circuit function or may interact with oligodendrocyte lineage cells and myelin in ways that we have yet to uncover. Despite the recent surge of ground-breaking studies on myelin and cognition, the uncharted waters remain excitingly vast.

Oligodendrocytes in neuropathology

In light of the numerous rodent studies showing an important role for oligodendrocytes and myelin in learning and memory, it may come as no surprise that studies have also identified oligodendrocyte abnormalities in individuals with neurological and psychiatric disorders that present with cognitive symptoms^72–74. A full discussion of all brain disorders that involve white matter pathology is beyond the scope of this review; however, we highlight below two neurodevelopmental disorders in which recent studies have identified myelin dysfunction as a central feature of the disease phenotype.

Williams syndrome is a genetic neurodevelopmental disorder characterized by hypersociability, intellectual disability and elevated anxiety⁷⁵. In a mouse model of Williams syndrome in which the gene Gtf2i is selectively deleted in excitatory forebrain neurons (Gtf2i cKOs)⁷⁶, 70% of downregulated transcripts detected by RNA sequencing were associated with myelination. The numbers of mature oligodendrocytes were reduced in cortex and corpus callosum of 1-month-old Gtf2i cKOs relative to Cre-negative controls, whereas OPC density was unchanged, indicating a deficit in oligodendrocyte maturation. At the ultrastructural level in the corpus callosum, the percentage of myelinated axons was lower in Gtf2i-cKO animals. Reduced expression of myelin-related genes and decreased mature oligodendrocyte density were also observed in frontal cortical regions of post-mortem tissue obtained from individuals with Williams syndrome. Encouragingly, treatment with the pro-myelinating drug clemastine rescued the hypersociability phenotype of Gtf2i-cKO animals, indicating that targeting myelination postnatally may be beneficial for people with Williams syndrome. It remains to be seen whether the cognitive deficits experienced by these individuals can also be alleviated by enhancing myelination.

Pitt–Hopkins syndrome is another neurodevelopmental disorder presenting with intellectual disability, along with failure to acquire language and other behavioural phenotypes shared with autism spectrum disorders (ASDs)⁷⁷. Transcriptomic analysis of brain tissue from multiple genetic mouse models of Pitt–Hopkins syndrome and ASDs, as well as datasets from post-mortem patients with ASDs, revealed a common signature of downregulated oligodendrocyte and myelin-associated genes⁷⁸. To validate these results, the same group examined one Pitt–Hopkins model (Tcf4- mutant mice) and found increased numbers of OPCs, reduced numbers of mature oligodendrocytes, and reduced levels of myelin proteins in the prefrontal cortex, indicating a deficit in oligodendrocyte maturation. This deficit appears to arise from a cell-autonomous requirement for TCF4 in OPCs to differentiate^78,79. Studies in other genetic mouse models of ASDs have also reported deficits in myelination^80–82. The prevalence of myelin dysfunction across these models raises the question of whether abnormal myelination is a key driver of the shared phenotypes across these disparate genetic models and whether, as in models of Williams syndrome⁷⁶, treatment with clemastine or other pro-myelinating drugs may reverse some of the behavioural symptoms associated with idiopathic ASDs.

Alterations in oligodendrocyte and myelin function have now been identified in many other neuro-pathological conditions with cognitive symptoms^72–74. We have known for some time now that white matter atrophies considerably in normal ageing^83,84. Combined with the growing evidence for myelin and oligodendrocyte involvement in learning and memory^3,18,19, there is good reason to suspect that some of the cognitive decline we experience with ageing is related to myelin loss. Myelin dysfunction has also been reported in post-traumatic stress disorder⁸⁵, Alzheimer disease^86–88 and depression^89–91. These results should be interpreted with caution — oligodendrocyte and myelin-associated genes may be preferentially picked up in large-scale transcriptomic analyses because they are so abundant^62,92. Furthermore, OPCs are the most proliferative cell type in the adult brain^17,93 and respond strongly to perturbations in the local environment¹. It is not yet clear whether these changes are truly relevant to the aetiology and progression of these diseases or simply reflect the high intrinsic plasticity of the oligodendrocyte lineage. However, examples like the Williams syndrome model, in which behavioural deficits were reversed by clemastine treatment⁷⁶, suggest that aberrant myelination may indeed contribute significantly to behavioural phenotypes in some of these neuropathologies.

Myelin plasticity — the next 10 years

Like neuronal plasticity, plasticity within the oligodendrocyte lineage can manifest in multiple ways. Dissociations between experience-induced changes in OPC proliferation, differentiation, myelin sheath remodelling, and myelin thickness^18,19,34 tell us that these forms of plasticity do not necessarily proceed in concert. Furthermore, the time course of oligodendrocyte plasticity varies significantly between different forms of learning. For example, whereas fear conditioning induced a rapid increase in OPC proliferation 24 h post conditioning¹⁹, motor learning suppressed proliferation in the days immediately following training³⁹. Thus, we may not be able to identify a general organizing principle for oligodendrocyte plasticity in learning and memory and instead recognize that, like synaptic plasticity, oligodendrocyte and myelin plasticity will be custom tailored to each circuit and/or behaviour.

Our ability to form a mechanistic understanding of how oligodendrocytes interact with neuronal circuits to influence behaviour is limited by our current tools, which cannot tease apart the relative contributions of OPCs, oligodendrocytes and myelination in various contexts. To do so would require manipulations that separate OPC differentiation from subsequent myelination. This has been challenging to date, though there is some evidence that these processes can be independently regulated⁹⁴. We will also need tools to selectively disrupt OPC proliferation, though they would inevitably prevent the formation of new oligodendrocytes and myelin that would have been generated from newly proliferated OPCs. Nevertheless, it would be informative to compare the short-term effects of disrupting OPC proliferation versus differentiation, as OPCs themselves may play distinct roles in shaping neuronal function^89,91. There is also evidence for some degree of heterogeneity among OPCs in their physiological and molecular properties^95,96. One could imagine that a subset of OPCs is primed to differentiate, whereas others interact with and regulate circuit activity in myelin-independent ways. Whether these differences reflect or produce differential OPC-neuron interactions will require additional studies that disrupt specific aspects of OPC physiology.

Another limitation of our current models is the global nature of our manipulations. We can now prevent the progression of myelination at any age using inducible CreER lines that target OPCs and we can enhance myelination with systemic drug delivery, yet these methods affect myelination throughout the entire CNS. From these experiments, it is impossible to determine the specific locus of myelin deposition that is relevant for a given aspect of learning or memory. Perhaps global changes are indeed required; however, this seems unlikely given the region-specific changes in OPC proliferation and differentiation observed in wild-type animals that have undergone learning^18,19. Even within one region, myelination of different types of axons could alter circuits in different ways. In the cortex, both excitatory and inhibitory neurons are myelinated^97–99. We currently do not know whether the altered patterns of neuronal activity in Myrf cKOs^18,19 are due to cell-autonomous interactions or network-level changes caused by, for example, the dysregulation of parvalbumin interneuron myelination. To answer these questions, we will need to develop tools that allow region-specific, input-specific and cell type-specific control of myelination. The former will require viral tools to selectively manipulate OPCs and oligodendrocytes, whereas the latter two may be achieved by manipulating neurons rather than OPCs, perhaps by overexpressing negative regulators of myelination¹⁰⁰ along subsets of axons. Cre-independent methods to alter myelination will also be of significant use, as many disease models require the presence of a neuronal or neural progenitor population-specific Cre. Although we can perform some studies with drugs to enhance^48,49,101 or disrupt¹⁰² myelination, these pharmacological manipulations can have off-target effects and, in the case of disrupting myelination, can directly damage axons as well as other cell types¹⁰³. Finally, just as neuronal manipulation has become more sophisticated with the development of tools like FosTrap¹⁰⁴ to specifically target activated neurons, we would ideally find a way to specifically inhibit learning-induced OPC differentiation or myelination.

Though we speculated above on the myriad ways in which oligodendrocytes could influence neuronal function, we do not yet know when or if these various interactions are engaged and relevant in the context of learning and memory. It is clear, however, that oligodendrocytes and myelin plasticity can influence neuronal function in multiple ways beyond changing axonal conductance. What are the overall effects of increased myelination and are the same processes always engaged, or can specific oligodendrocyte/myelin-associated functions be altered independently of one another? Is it useful to manipulate individual molecular pathways within these cells or is it more informative to consider the net effect of OPC differentiation and myelination as it occurs in vivo? Many mechanistic questions remain, some of which will require conceptual advances in both systems neuroscience and cell biology to answer, including a better understanding of the neuronal adaptations that establish a memory engram and the identification of signals that drive learning-induced oligodendrocyte plasticity^105,106. We have broken ground on characterizing the involvement of oligodendrocytes in learning and memory, but the road ahead is still long and paved with exciting cellular mysteries to unravel.

Genetic fate mapping

A technique that uses genetic methods, such as Cre recombinase, to selectively express a reporter gene in a subset of cells and follow their developmental fate over time.

Barrel cortex

Whisker-related primary somatosensory cortex.

Enriched environment

An environment designed to provide enhanced multisensory stimulation.

Memory consolidation

A process during which recent learned experiences are stabilized into long-term memory.

Contextual fear conditioning

(CFC). A behavioural paradigm in which a novel context is paired with an aversive stimulus (e.g. a foot shock), thereby inducing a learned association between the previously neutral context and the aversive experience.

Cre driver

A genetically engineered rodent line in which Cre recombinase is expressed under a cell type-specific promoter.

Engrams

Enduring physical changes in a neural circuit that underlie specific memories.

Carbon dating

A technique for inferring the age of organic matter (for example, cells) based on the proportion of carbon-14 it contains relative to other carbon isotopes and historical atmospheric proportions of carbon-14.

Acknowledgements

We are grateful to M. Kheirbek, R. Roth and members of the Chan lab for their valuable input on the manuscript. We apologize for the omission of many important studies due to space constraints. This work was supported by the National Institutes of Health/National Institute of Neurological Disorders and Stroke (grants R01NS097428 & R01NS095889 to JRC and grant F32NS116214 to WX), the Adelson Medical Research Foundation (ANDP grant A130141 to JRC), and the Rachleff family endowment.

Footnotes

Competing interests

The authors declare no competing interests.

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Myelin plasticity: sculpting circuits in learning and memory.

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Abstract

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Myelin plasticity: sculpting circuits in learning and memory

Abstract

Experience-induced plasticity

Sensory experience and oligodendrocyte plasticity.

Table 1 |

Social interaction and oligodendrocyte maturation.

Motor learning-induced oligodendrocyte plasticity.

Oligodendrocyte plasticity in other forms of learning.

Table 2 |

Learning-induced versus experience-induced oligodendrocyte plasticity.

Developmental versus experience-induced myelination.

Box 1 | White matter plasticity in human imaging studies

A role for oligodendrocyte plasticity

Motor learning.

Spatial memory.

Fear memory.

Disentangling the relative contributions of OPCs, oligodendrocytes and myelin.

Box 2 | A role for plasticity in mature oligodendrocytes?

Oligodendrocytes and circuit function

Oligodendrocytes in neuropathology

Myelin plasticity — the next 10 years

Genetic fate mapping

Barrel cortex

Enriched environment

Memory consolidation

Contextual fear conditioning

Cre driver

Engrams

Carbon dating

Acknowledgements

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