Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 3 complete abstracts (503 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
The region of central nervous system that appears lighter in color than the other type, gray matter. It mainly consists of myelinated nerve fibers and contains few neuronal cell bodies or dendrites.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Matters, White; Matter, White; White Matters; Cerebellar White Matter; Cerebellar White Matters; Matter, Cerebellar White; Matters, Cerebellar White; White Matter, Cerebellar.
Where it fits in the MeSH classification
- Broader topics
- Brain; Spinal Cord
- See also
- Nerve Fibers, Myelinated
Related concepts
- Central Nervous System
- Gray Matter
- Myelinated Nerve Fibers
- Dendrites
Research landscape
PubMed indexes 17,632 records tagged with the MeSH heading “White Matter” (counts retrieved 2026-10-29). 9,864 of them (55.9%) were published from 2020 onward, and the busiest period so far is 2020 onward with 9,864 records.
Reviews account for 1,104 records (6.3%) and meta-analyses for 192. Randomized controlled trials number 238 (1.3%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 0 |
| 2000-2009 | 0 |
| 2010-2019 | 8,041 |
| 2020 onward | 9,864 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 1,104 | 6.3% |
| Meta-analyses | 192 | 1.1% |
| Randomized controlled trials | 238 | 1.3% |
Method: PubMed query "White Matter"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in neuroscience
Neuroscience draws on tools with different strengths: cellular and animal work can manipulate circuits directly, while human imaging and electrophysiology observe the living brain at lower resolution. Small imaging studies are prone to false positives, and findings in animals do not always carry over to people. Clinical neurology and psychiatry rely on trials and cohort studies whose outcomes are often symptom scales. Check the species, the sample size, how the outcome was measured and whether results were replicated.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| White matter micro- and macrostructure brain charts for the human lifespan | 2026 | Research article Design not recorded in structured metadata | 13 | cc by PMID 42129567 · DOI · PMC13391363 |
| Biallelic variants in the noncoding RNA gene RNU4-2 cause a recessive neurodevelopmental syndrome with distinct white matter changes | 2026 | Research article Design not recorded in structured metadata | 11 | cc by PMID 41951959 · DOI · PMC13083247 |
| Resolving cognitive heterogeneity in white matter hyperintensities through integrated analyses of microbiome, metabolome, and brain glymphatic function | 2026 | Research article Design not recorded in structured metadata | 10 | cc by PMID 41700076 · DOI · PMC12910248 |
White matter micro- and macrostructure brain charts for the human lifespan [1]
Abstract reading summary — source excerpts
- Opening excerpt
- The human brain relies on a complex network of connections to function, with white matter acting as the primary communication highway between different brain regions1,2.
- Closing excerpt
- Furthermore, the accompanying open access charts enable the scientific and clinical communities to evaluate new patient and research data against these normative baselines, facilitating future clinical and neuroscience studies.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (198 words)
The human brain relies on a complex network of connections to function, with white matter acting as the primary communication highway between different brain regions1,2. Disruptions in these critical communication pathways are linked to several neurological, psychiatric and developmental disorders3,4. Although clinicians have long used standard growth charts to track physical development5, with more recent work translating these to whole-brain and grey matter measurements6-9, there has been no equivalent reference standard for white matter. Establishing a readily available normative reference is an imperative first step if we hope to utilize these white matter structural biomarkers clinically. Here we present lifespan reference charts for human brain white matter. By processing and standardizing 35,120 brain scans from diverse global studies, we mapped the typical growth, maturation and age-related decline of specific brain pathways from birth to 100 years of age. These reference charts establish a fundamental benchmark for healthy brain development and ageing, allowing researchers and clinicians to quantify how an individual's brain deviates from typical patterns and highlighting disorder-related alterations. Furthermore, the accompanying open access charts enable the scientific and clinical communities to evaluate new patient and research data against these normative baselines, facilitating future clinical and neuroscience studies.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42129567 · DOI · PMC13391363
Biallelic variants in the noncoding RNA gene RNU4-2 cause a recessive neurodevelopmental syndrome with distinct white matter changes [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Genetic variants in RNU4-2, which is transcribed into the U4 small nuclear RNA component of the major spliceosome, were recently shown to cause ReNU syndrome, a prevalent dominant neurodevelopmental disorder (NDD).
- Closing excerpt
- Together, these findings expand the genotypic and phenotypic spectrum of RNU4-2-associated NDDs.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (163 words)
Genetic variants in RNU4-2, which is transcribed into the U4 small nuclear RNA component of the major spliceosome, were recently shown to cause ReNU syndrome, a prevalent dominant neurodevelopmental disorder (NDD). These variants almost exclusively arise de novo and cluster within 18 nucleotides of RNU4-2. Here we describe a new recessive NDD associated with homozygous and compound heterozygous variants in RNU4-2. We identify 38 individuals with biallelic variants outside the 18-nucleotide ReNU syndrome region that cluster within other functionally important elements of U4: Stem II, the k-turn and the Sm protein binding site. We characterize the clinical phenotype in 31 individuals, demonstrating that the recessive disorder is clinically distinct from ReNU syndrome and is associated with distinctive white matter abnormalities, including enlarged perivascular spaces. Finally, we find reduced RNU4-2 transcript levels in individuals with the recessive disorder, suggesting a loss-of-function disease mechanism that is distinct from the mechanism underlying ReNU syndrome. Together, these findings expand the genotypic and phenotypic spectrum of RNU4-2-associated NDDs.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41951959 · DOI · PMC13083247
Resolving cognitive heterogeneity in white matter hyperintensities through integrated analyses of microbiome, metabolome, and brain glymphatic function [3]
Abstract reading summary — source excerpts
- Opening excerpt
- IntroductionIndividuals with similar white matter hyperintensities (WMH) burden show heterogeneous cognitive outcomes, yet the biological mechanisms underlying this variability remain incompletely understood.
- Closing excerpt
- DiscussionThese findings provide preliminary insights into plausible microbiota-metabolites-glymphatic function-cognition associations in WMH, potentially informing more targeted interventions for vascular cognitive impairment.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (142 words)
IntroductionIndividuals with similar white matter hyperintensities (WMH) burden show heterogeneous cognitive outcomes, yet the biological mechanisms underlying this variability remain incompletely understood.MethodsWe integrated 16S rDNA sequencing, untargeted metabolomics, and multi-modal magnetic resonance imaging (MRI) to comprehensively characterize gut microbiome, plasma metabolome, and brain glymphatic function in 56 healthy controls, 40 WMH with normal cognition (WMH-NC), and 49 WMH with cognitive impairment (WMH-CI).ResultsGroup comparisons revealed differences in six bacterial genera, three plasma metabolites, and five glymphatic markers across three groups, with Acetivibrio, 1,5-naphthalenediamine, beta-uridine, free water fraction within the white matter, and index of diffusivity along the perivascular spaces (ALPS index) showing differences between WMH-CI and WMH-NC. Correlation and mediation analyses demonstrated associations between microbiota and cognition, mediated by tetradecyldiethanolamine and ALPS index.DiscussionThese findings provide preliminary insights into plausible microbiota-metabolites-glymphatic function-cognition associations in WMH, potentially informing more targeted interventions for vascular cognitive impairment.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41700076 · DOI · PMC12910248
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article White matter hyperintensities and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 36 prospective studies [4]
- Research article Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals [5]
- Research article WMH and long-term outcomes in ischemic stroke: A systematic review and meta-analysis [6]
- Research article Periods of synchronized myelin changes shape brain function and plasticity [7]
- Research article Functional MRI and resting state connectivity in white matter - a mini-review [8]
- Research article Cerebral small vessel disease: A review [9]
References
- Kim ME, Gao C, Ramadass K, Newlin NR, Kanakaraj P, Bogdanov S, et al.. White matter micro- and macrostructure brain charts for the human lifespan. . 2026. PMID 42129567 · DOI · PMC13391363
- Rius R, Blakes AJM, Chen Y, De Jonghe J, Lecoquierre F, Dawes R, et al.. Biallelic variants in the noncoding RNA gene RNU4-2 cause a recessive neurodevelopmental syndrome with distinct white matter changes. . 2026. PMID 41951959 · DOI · PMC13083247
- Xu X, Zhou X, Zhang M, Fang J, Yan Z, Zhu X, et al.. Resolving cognitive heterogeneity in white matter hyperintensities through integrated analyses of microbiome, metabolome, and brain glymphatic function. . 2026. PMID 41700076 · DOI · PMC12910248
- Hu HY, Ou YN, Shen XN, Qu Y, Ma YH, Wang ZT, et al.. White matter hyperintensities and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 36 prospective studies. Neurosci Biobehav Rev. 2021. PMID 33188821 · DOI
- Favre P, Pauling M, Stout J, Hozer F, Sarrazin S, Abé C, et al.. Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals. Neuropsychopharmacology. 2019. PMID 31434102 · DOI · PMC6898371
- Georgakis MK, Duering M, Wardlaw JM, Dichgans M. WMH and long-term outcomes in ischemic stroke: A systematic review and meta-analysis. Neurology. 2019. PMID 30770431 · DOI
- de Faria O, Pivonkova H, Varga B, Timmler S, Evans KA, Káradóttir RT. Periods of synchronized myelin changes shape brain function and plasticity. Nat Neurosci. 2021. PMID 34711959 · DOI
- Gore JC, Li M, Gao Y, Wu TL, Schilling KG, Huang Y, et al.. Functional MRI and resting state connectivity in white matter - a mini-review. Magn Reson Imaging. 2019. PMID 31376477 · DOI · PMC6861686
- Chojdak-Łukasiewicz J, Dziadkowiak E, Zimny A, Paradowski B. Cerebral small vessel disease: A review. Adv Clin Exp Med. 2021. PMID 33768739 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.