TY - JOUR
T1 - Variation in brain aging
T2 - A review and perspective on the utility of individualized approaches to the study of functional networks in aging
AU - Perez, Diana C.
AU - Hernandez, Joanna J.
AU - Wulfekuhle, Gretchen
AU - Gratton, Caterina
N1 - This work was supported by NIH T32NS047987 (DCP), NIA F99AG088569 (DCP), NIMH R01MH118370 (CG), NIMH R01MH118370-Supplement (CG), NIA P30AG13854 (Sub-Project PI: CG), NSF CAREER 2048066 (CG), and NINDS R01NS124738 (CG).
PY - 2025/3
Y1 - 2025/3
N2 - Healthy aging is associated with cognitive decline across multiple domains, including executive function, memory, and attention. These cognitive changes can often influence an individual's ability to function and quality of life. However, the degree to which individuals experience cognitive decline, as well as the trajectory of these changes, exhibits wide variability across people. These cognitive abilities are thought to depend on the coordinated activity of large-scale networks. Like behavioral effects, large variation can be seen in brain structure and function with aging, including in large-scale functional networks. However, tracking this variation requires methods that reliably measure individual brain networks and their changes over time. Here, we review the literature on age-related cognitive decline and on age-related differences in brain structure and function. We focus particularly on functional networks and the individual variation that exists in these measures. We propose that novel individual-centered fMRI approaches can shed new light on patterns of inter- and intra-individual variability in aging. These approaches may be instrumental in understanding the neural bases of cognitive decline.
AB - Healthy aging is associated with cognitive decline across multiple domains, including executive function, memory, and attention. These cognitive changes can often influence an individual's ability to function and quality of life. However, the degree to which individuals experience cognitive decline, as well as the trajectory of these changes, exhibits wide variability across people. These cognitive abilities are thought to depend on the coordinated activity of large-scale networks. Like behavioral effects, large variation can be seen in brain structure and function with aging, including in large-scale functional networks. However, tracking this variation requires methods that reliably measure individual brain networks and their changes over time. Here, we review the literature on age-related cognitive decline and on age-related differences in brain structure and function. We focus particularly on functional networks and the individual variation that exists in these measures. We propose that novel individual-centered fMRI approaches can shed new light on patterns of inter- and intra-individual variability in aging. These approaches may be instrumental in understanding the neural bases of cognitive decline.
KW - Brain aging
KW - Brain networks
KW - Cognitive decline
KW - FMRI
KW - Individual differences
KW - Individualized approaches
KW - Precision
UR - http://www.scopus.com/inward/record.url?scp=85212592722&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85212592722&partnerID=8YFLogxK
U2 - 10.1016/j.neurobiolaging.2024.11.010
DO - 10.1016/j.neurobiolaging.2024.11.010
M3 - Review article
C2 - 39709668
AN - SCOPUS:85212592722
SN - 0197-4580
VL - 147
SP - 68
EP - 87
JO - Neurobiology of Aging
JF - Neurobiology of Aging
ER -