Open AccessTargeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling
Author(s) -
Lowe Alexander J.,
Paquola Casey,
Vos de Wael Reinder,
Girn Manesh,
Lariviere Sara,
Tavakol Shahin,
Caldairou Benoit,
Royer Jessica,
Schrader Dewi V.,
Bernasconi Andrea,
Bernasconi Neda,
Spreng R. Nathan,
Bernhardt Boris C.
Publication year - 2019
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.24767
Subject(s) - neuroscience , hippocampal formation , connectome , psychology , episodic memory , resting state fmri , hippocampus , neuroimaging , atrophy , cognition , functional connectivity , medicine , pathology
Abstract Aging is characterized by accumulation of structural and metabolic changes in the brain. Recent studies suggest transmodal brain networks are especially sensitive to aging, which, we hypothesize, may be due to their apical position in the cortical hierarchy. Studying an open‐access healthy cohort ( n = 102, age range = 30–89 years) with MRI and Aβ PET data, we estimated age‐related cortical thinning, hippocampal atrophy and Aβ deposition. In addition to carrying out surface‐based morphological and metabolic mapping experiments, we stratified effects along neocortical and hippocampal resting‐state functional connectome gradients derived from independent datasets. The cortical gradient depicts an axis of functional differentiation from sensory‐motor regions to transmodal regions, whereas the hippocampal gradient recapitulates its long‐axis. While age‐related thinning and increased Aβ deposition occurred across the entire cortical topography, increased Aβ deposition was especially pronounced toward higher‐order transmodal regions. Age‐related atrophy was greater toward the posterior end of the hippocampal long‐axis. No significant effect of age on Aβ deposition in the hippocampus was observed. Imaging markers correlated with behavioral measures of fluid intelligence and episodic memory in a topography‐specific manner, confirmed using both univariate as well as multivariate analyses. Our results strengthen existing evidence of structural and metabolic change in the aging brain and support the use of connectivity gradients as a compact framework to analyze and conceptualize brain‐based biomarkers of aging.