Your browser doesn't support javascript.
loading
Age differences in the functional architecture of the human brain.
Setton, Roni; Mwilambwe-Tshilobo, Laetitia; Girn, Manesh; Lockrow, Amber W; Baracchini, Giulia; Hughes, Colleen; Lowe, Alexander J; Cassidy, Benjamin N; Li, Jian; Luh, Wen-Ming; Bzdok, Danilo; Leahy, Richard M; Ge, Tian; Margulies, Daniel S; Misic, Bratislav; Bernhardt, Boris C; Stevens, W Dale; De Brigard, Felipe; Kundu, Prantik; Turner, Gary R; Spreng, R Nathan.
Afiliação
  • Setton R; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Mwilambwe-Tshilobo L; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Girn M; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Lockrow AW; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Baracchini G; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Hughes C; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Lowe AJ; Institute of Neurology, University College London, London, UK.
  • Cassidy BN; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Li J; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
  • Luh WM; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Bzdok D; National Institutes of Health, National Institute on Aging, Baltimore, MD, USA.
  • Leahy RM; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Ge T; Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
  • Margulies DS; McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada.
  • Misic B; School of Computer Science, McGill University, Montreal, QC, Canada.
  • Bernhardt BC; Mila - Quebec Artificial Intelligence Institute, Montreal, QC, Canada.
  • Stevens WD; Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA.
  • De Brigard F; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Kundu P; Integrative Neuroscience and Cognition Center (UMR 8002), Centre National de la Recherche Scientifique (CNRS) and Université de Paris, Paris, France.
  • Turner GR; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
  • Spreng RN; McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada.
Cereb Cortex ; 33(1): 114-134, 2022 12 15.
Article em En | MEDLINE | ID: mdl-35231927
ABSTRACT
The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation of distributed brain systems, to network-specific patterns of dedifferentiation. Whether dedifferentiation reflects an inevitable, global shift in brain function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy to interrogate dedifferentiation at multiple spatial scales. Multi-echo (ME) resting-state fMRI was collected in younger (n = 181) and older (n = 120) healthy adults. Cortical parcellation sensitive to individual variation was implemented for precision functional mapping of each participant while preserving group-level parcel and network labels. ME-fMRI processing and gradient mapping identified global and macroscale network differences. Multivariate functional connectivity methods tested for microscale, edge-level differences. Older adults had lower BOLD signal dimensionality, consistent with global network dedifferentiation. Gradients were largely age-invariant. Edge-level analyses revealed discrete, network-specific dedifferentiation patterns in older adults. Visual and somatosensory regions were more integrated within the functional connectome; default and frontoparietal control network regions showed greater connectivity; and the dorsal attention network was more integrated with heteromodal regions. These findings highlight the importance of multiscale, multimethod approaches to characterize the architecture of functional brain aging.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Conectoma Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Revista: Cereb Cortex Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Conectoma Tipo de estudo: Prognostic_studies Limite: Aged / Humans Idioma: En Revista: Cereb Cortex Ano de publicação: 2022 Tipo de documento: Article