Evidence map›Paper›PMID 34731328›Full record

SynthesisBrain structure & function2022

White matter variability, cognition, and disorders: a systematic review.

Stephanie J Forkel, Patrick Friedrich, Michel Thiebaut de Schotten, Henrietta Howells

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
10.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. A spatially resolved genomic-molecular atlas of human white-matter microstructure.medRxiv : the preprint server for health sciences · 2026
    Article
  10. Article
  11. Review
  12. Language laterality and cognitive skills: does anatomy matter?Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. White matter reflects the childhood exposome.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Stephanie J ForkelBrain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France. stephanie.forkel@gmail.com.ORCID http://orcid.org/0000-0003-0493-0283
Patrick FriedrichBrain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France.
Michel Thiebaut de SchottenBrain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France.
Henrietta HowellsMoCA Lab, Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Centre National de la Recherche Scientifique · FRUniversity of Milan · IT

Funding

European Research Council 818521H2020 Marie Skłodowska-Curie Actions 101028551
6 · The paper itself

Abstract

Inter-individual differences can inform treatment procedures and-if accounted for-have the potential to significantly improve patient outcomes. However, when studying brain anatomy, these inter-individual variations are commonly unaccounted for, despite reports of differences in gross anatomical features, cross-sectional, and connectional anatomy. Brain connections are essential to facilitate functional organization and, when severed, cause impairments or complete loss of function. Hence, the study of cerebral white matter may be an ideal compromise to capture inter-individual variability in structure and function. We reviewed the wealth of studies that associate cognitive functions and clinical symptoms with individual tracts using diffusion tractography. Our systematic review indicates that tractography has proven to be a sensitive method in neurology, psychiatry, and healthy populations to identify variability and its functional correlates. However, the literature may be biased, as the most commonly studied tracts are not necessarily those with the highest sensitivity to cognitive functions and pathologies. Additionally, the hemisphere of the studied tract is often unreported, thus neglecting functional laterality and asymmetries. Finally, we demonstrate that tracts, as we define them, are not correlated with one, but multiple cognitive domains or pathologies. While our systematic review identified some methodological caveats, it also suggests that tract-function correlations might still be a promising tool in identifying biomarkers for precision medicine. They can characterize variations in brain anatomy, differences in functional organization, and predicts resilience and recovery in patients.

Indexed as

White MatterBrainCognitionCross-Sectional StudiesDiffusion Tensor ImagingHumansBiomarkerCognitionPatientsPersonalized medicineTractographyVariabilityWhite matter

Identifiers

PMID34731328
PMCPMC8844174
OpenAlexW3208075780

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.