Cargando…
Microstructural development from 9 to 14 years: Evidence from the ABCD Study
During late childhood behavioral changes, such as increased risk-taking and emotional reactivity, have been associated with the maturation of cortico-cortico and cortico-subcortical circuits. Understanding microstructural changes in both white matter and subcortical regions may aid our understanding...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671104/ https://www.ncbi.nlm.nih.gov/pubmed/34896850 http://dx.doi.org/10.1016/j.dcn.2021.101044 |
_version_ | 1784615099927887872 |
---|---|
author | Palmer, Clare E. Pecheva, Diliana Iversen, John R. Hagler, Donald J. Sugrue, Leo Nedelec, Pierre Fan, Chun Chieh Thompson, Wesley K. Jernigan, Terry L. Dale, Anders M. |
author_facet | Palmer, Clare E. Pecheva, Diliana Iversen, John R. Hagler, Donald J. Sugrue, Leo Nedelec, Pierre Fan, Chun Chieh Thompson, Wesley K. Jernigan, Terry L. Dale, Anders M. |
author_sort | Palmer, Clare E. |
collection | PubMed |
description | During late childhood behavioral changes, such as increased risk-taking and emotional reactivity, have been associated with the maturation of cortico-cortico and cortico-subcortical circuits. Understanding microstructural changes in both white matter and subcortical regions may aid our understanding of how individual differences in these behaviors emerge. Restriction spectrum imaging (RSI) is a framework for modelling diffusion-weighted imaging that decomposes the diffusion signal from a voxel into hindered, restricted, and free compartments. This yields greater specificity than conventional methods of characterizing diffusion. Using RSI, we quantified voxelwise restricted diffusion across the brain and measured age associations in a large sample (n = 8086) from the Adolescent Brain and Cognitive Development (ABCD) study aged 9–14 years. Older participants showed a higher restricted signal fraction across the brain, with the largest associations in subcortical regions, particularly the basal ganglia and ventral diencephalon. Importantly, age associations varied with respect to the cytoarchitecture within white matter fiber tracts and subcortical structures, for example age associations differed across thalamic nuclei. This suggests that age-related changes may map onto specific cell populations or circuits and highlights the utility of voxelwise compared to ROI-wise analyses. Future analyses will aim to understand the relevance of this microstructural developmental for behavioral outcomes. |
format | Online Article Text |
id | pubmed-8671104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86711042021-12-22 Microstructural development from 9 to 14 years: Evidence from the ABCD Study Palmer, Clare E. Pecheva, Diliana Iversen, John R. Hagler, Donald J. Sugrue, Leo Nedelec, Pierre Fan, Chun Chieh Thompson, Wesley K. Jernigan, Terry L. Dale, Anders M. Dev Cogn Neurosci Original Research During late childhood behavioral changes, such as increased risk-taking and emotional reactivity, have been associated with the maturation of cortico-cortico and cortico-subcortical circuits. Understanding microstructural changes in both white matter and subcortical regions may aid our understanding of how individual differences in these behaviors emerge. Restriction spectrum imaging (RSI) is a framework for modelling diffusion-weighted imaging that decomposes the diffusion signal from a voxel into hindered, restricted, and free compartments. This yields greater specificity than conventional methods of characterizing diffusion. Using RSI, we quantified voxelwise restricted diffusion across the brain and measured age associations in a large sample (n = 8086) from the Adolescent Brain and Cognitive Development (ABCD) study aged 9–14 years. Older participants showed a higher restricted signal fraction across the brain, with the largest associations in subcortical regions, particularly the basal ganglia and ventral diencephalon. Importantly, age associations varied with respect to the cytoarchitecture within white matter fiber tracts and subcortical structures, for example age associations differed across thalamic nuclei. This suggests that age-related changes may map onto specific cell populations or circuits and highlights the utility of voxelwise compared to ROI-wise analyses. Future analyses will aim to understand the relevance of this microstructural developmental for behavioral outcomes. Elsevier 2021-12-03 /pmc/articles/PMC8671104/ /pubmed/34896850 http://dx.doi.org/10.1016/j.dcn.2021.101044 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Palmer, Clare E. Pecheva, Diliana Iversen, John R. Hagler, Donald J. Sugrue, Leo Nedelec, Pierre Fan, Chun Chieh Thompson, Wesley K. Jernigan, Terry L. Dale, Anders M. Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title | Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title_full | Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title_fullStr | Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title_full_unstemmed | Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title_short | Microstructural development from 9 to 14 years: Evidence from the ABCD Study |
title_sort | microstructural development from 9 to 14 years: evidence from the abcd study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671104/ https://www.ncbi.nlm.nih.gov/pubmed/34896850 http://dx.doi.org/10.1016/j.dcn.2021.101044 |
work_keys_str_mv | AT palmerclaree microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT pechevadiliana microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT iversenjohnr microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT haglerdonaldj microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT sugrueleo microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT nedelecpierre microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT fanchunchieh microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT thompsonwesleyk microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT jerniganterryl microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy AT daleandersm microstructuraldevelopmentfrom9to14yearsevidencefromtheabcdstudy |