Journal
CEREBRAL CORTEX
Volume 31, Issue 3, Pages 1719-1731Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhaa321
Keywords
aging; brain functional atlas; late adulthood; resting-state networks
Categories
Funding
- National Institute of Aging [R03AG064001]
- National Institute of General Medical Sciences [P20GM130447]
- National Institute of Mental Health [R01MH113619]
- National Institute of Biomedical Imaging and Bioengineering [U54 EB020403]
- French government agency ANR (LABCOM Ginesislab) [ANR 16-LCV2-0006-01]
- French Alternative Energies and Atomic Energy Commission
- Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
- DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- AbbVie
- Alzheimer's Drug Discovery Foundation
- Araclon Biotech
- BioClinica, Inc.
- Biogen
- Bristol-Myers Squibb Company
- CereSpir, Inc.
- Cogstate
- Elan Pharmaceuticals, Inc.
- Eli Lilly and Company
- EuroImmun
- F. Hoffmann-La Roche Ltd
- Genentech, Inc.
- Fujirebio
- GE Healthcare
- IXICO Ltd
- Janssen Alzheimer Immunotherapy Research & Development, LLC.
- Johnson& Johnson Pharmaceutical Research & Development LLC.
- Lumosity
- Lundbeck
- Meso Scale Diagnostics, LLC.
- NeuroRx Research
- Neurotrack Technologies
- Novartis Pharmaceuticals Corporation
- Pfizer Inc.
- Piramal Imaging
- Servier
- Takeda Pharmaceutical Company
- Transition Therapeutics
- Canadian Institutes of Health Research
- Alzheimer's Association
- Eisai Inc.
- Merck Co., Inc.
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The study aimed to construct a reliable brain atlas derived from older participants, identifying and subdividing major RSNs with high spatial reproducibility. Results showed spatial differences in RSNs derived from older versus younger populations, leading to the creation of a novel age-appropriate brain atlas, Atlas55+, for late adulthood RSN studies.
Currently, several human brain functional atlases are used to define the spatial constituents of the resting-state networks (RSNs). However, the only brain atlases available are derived from samples of young adults. As brain networks are continuously reconfigured throughout life, the lack of brain atlases derived from older populations may influence RSN results in late adulthood. To address this gap, the aim of the study was to construct a reliable brain atlas derived only from older participants. We leveraged resting-state functional magnetic resonance imaging data from three cohorts of healthy older adults (total N = 563; age = 55-95 years) and a younger-adult cohort (N=128; age =18-35 years). We identified the major RSNs and their subdivisions across all older-adult cohorts. We demonstrated high spatial reproducibility of these RSNs with an average spatial overlap of 67%. Importantly, the RSNs derived from the older-adult cohorts were spatially different from those derived from the younger-adult cohort (P =2.3 x 10(-3)). Lastly, we constructed a novel brain atlas, called Atlas55+, which includes the consensus of the major RSNs and their subdivisions across the older-adult cohorts. Thus, Atlas55+ provides a reliable age-appropriate template for RSNs in late adulthood and is publicly available. Our results confirm the need for age-appropriate functional atlases for studies investigating aging-related brain mechanisms.
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