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A sub+cortical fMRI‐based surface parcellation

Both cortical and subcortical structures are organized into a large number of distinct areas reflecting functional and cytoarchitectonic differences. Mapping these areas is of fundamental importance to neuroscience. A central obstacle to this task is the inaccuracy associated with bringing results f...

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Autores principales: Lewis, John D., Bezgin, Gleb, Fonov, Vladimir S., Collins, D. Louis, Evans, Alan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720195/
https://www.ncbi.nlm.nih.gov/pubmed/34761459
http://dx.doi.org/10.1002/hbm.25675
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author Lewis, John D.
Bezgin, Gleb
Fonov, Vladimir S.
Collins, D. Louis
Evans, Alan C.
author_facet Lewis, John D.
Bezgin, Gleb
Fonov, Vladimir S.
Collins, D. Louis
Evans, Alan C.
author_sort Lewis, John D.
collection PubMed
description Both cortical and subcortical structures are organized into a large number of distinct areas reflecting functional and cytoarchitectonic differences. Mapping these areas is of fundamental importance to neuroscience. A central obstacle to this task is the inaccuracy associated with bringing results from individuals into a common space. The vast individual differences in morphology pose a serious problem for volumetric registration. Surface‐based approaches fare substantially better, but have thus far been used only for cortical parcellation, leaving subcortical parcellation in volumetric space. We extend the surface‐based approach to include also the subcortical deep gray‐matter structures, thus achieving a uniform representation across both cortex and subcortex, suitable for use with surface‐based metrics that span these structures, for example, white/gray contrast. Using data from the Enhanced Nathan Klein Institute—Rockland Sample, limited to individuals between 19 and 69 years of age, we generate a functional parcellation of both the cortical and subcortical surfaces. To assess this extended parcellation, we show that (a) our parcellation provides greater homogeneity of functional connectivity patterns than do arbitrary parcellations matching in the number and size of parcels; (b) our parcels align with known cortical and subcortical architecture; and (c) our extended functional parcellation provides an improved fit to the complexity of life‐span (6–85 years) changes in white/gray contrast data compared to arbitrary parcellations matching in the number and size of parcels, supporting its use with surface‐based measures. We provide our extended functional parcellation for the use of the neuroimaging community.
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spelling pubmed-87201952022-01-07 A sub+cortical fMRI‐based surface parcellation Lewis, John D. Bezgin, Gleb Fonov, Vladimir S. Collins, D. Louis Evans, Alan C. Hum Brain Mapp Research Articles Both cortical and subcortical structures are organized into a large number of distinct areas reflecting functional and cytoarchitectonic differences. Mapping these areas is of fundamental importance to neuroscience. A central obstacle to this task is the inaccuracy associated with bringing results from individuals into a common space. The vast individual differences in morphology pose a serious problem for volumetric registration. Surface‐based approaches fare substantially better, but have thus far been used only for cortical parcellation, leaving subcortical parcellation in volumetric space. We extend the surface‐based approach to include also the subcortical deep gray‐matter structures, thus achieving a uniform representation across both cortex and subcortex, suitable for use with surface‐based metrics that span these structures, for example, white/gray contrast. Using data from the Enhanced Nathan Klein Institute—Rockland Sample, limited to individuals between 19 and 69 years of age, we generate a functional parcellation of both the cortical and subcortical surfaces. To assess this extended parcellation, we show that (a) our parcellation provides greater homogeneity of functional connectivity patterns than do arbitrary parcellations matching in the number and size of parcels; (b) our parcels align with known cortical and subcortical architecture; and (c) our extended functional parcellation provides an improved fit to the complexity of life‐span (6–85 years) changes in white/gray contrast data compared to arbitrary parcellations matching in the number and size of parcels, supporting its use with surface‐based measures. We provide our extended functional parcellation for the use of the neuroimaging community. John Wiley & Sons, Inc. 2021-11-11 /pmc/articles/PMC8720195/ /pubmed/34761459 http://dx.doi.org/10.1002/hbm.25675 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Lewis, John D.
Bezgin, Gleb
Fonov, Vladimir S.
Collins, D. Louis
Evans, Alan C.
A sub+cortical fMRI‐based surface parcellation
title A sub+cortical fMRI‐based surface parcellation
title_full A sub+cortical fMRI‐based surface parcellation
title_fullStr A sub+cortical fMRI‐based surface parcellation
title_full_unstemmed A sub+cortical fMRI‐based surface parcellation
title_short A sub+cortical fMRI‐based surface parcellation
title_sort sub+cortical fmri‐based surface parcellation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8720195/
https://www.ncbi.nlm.nih.gov/pubmed/34761459
http://dx.doi.org/10.1002/hbm.25675
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