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White matter variability, cognition, and disorders: a systematic review
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 fea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844174/ https://www.ncbi.nlm.nih.gov/pubmed/34731328 http://dx.doi.org/10.1007/s00429-021-02382-w |
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author | Forkel, Stephanie J. Friedrich, Patrick Thiebaut de Schotten, Michel Howells, Henrietta |
author_facet | Forkel, Stephanie J. Friedrich, Patrick Thiebaut de Schotten, Michel Howells, Henrietta |
author_sort | Forkel, Stephanie J. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-021-02382-w. |
format | Online Article Text |
id | pubmed-8844174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88441742022-02-23 White matter variability, cognition, and disorders: a systematic review Forkel, Stephanie J. Friedrich, Patrick Thiebaut de Schotten, Michel Howells, Henrietta Brain Struct Funct Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-021-02382-w. Springer Berlin Heidelberg 2021-11-03 2022 /pmc/articles/PMC8844174/ /pubmed/34731328 http://dx.doi.org/10.1007/s00429-021-02382-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Forkel, Stephanie J. Friedrich, Patrick Thiebaut de Schotten, Michel Howells, Henrietta White matter variability, cognition, and disorders: a systematic review |
title | White matter variability, cognition, and disorders: a systematic review |
title_full | White matter variability, cognition, and disorders: a systematic review |
title_fullStr | White matter variability, cognition, and disorders: a systematic review |
title_full_unstemmed | White matter variability, cognition, and disorders: a systematic review |
title_short | White matter variability, cognition, and disorders: a systematic review |
title_sort | white matter variability, cognition, and disorders: a systematic review |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844174/ https://www.ncbi.nlm.nih.gov/pubmed/34731328 http://dx.doi.org/10.1007/s00429-021-02382-w |
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