ArticleFrontiers in aging neuroscience2021
Globally Aging Cortical Spontaneous Activity Revealed by Multiple Metrics and Frequency Bands Using Resting-State Functional MRI.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models.bioRxiv : the preprint server for biology · 2026Article
- Age-Related Low Frequency Amplitude Differences in Resting-State Blood Oxygenation Level-Dependent Signal in the Cerebellum.Human brain mapping · 2026Article
- Older is order: entropy reduction in cortical spontaneous activity marks healthy aging.BMC neuroscience · 2024Article
- The relationship between resting-state amplitude fluctuations and memory-related deactivations of the default mode network in young and older adults.Human brain mapping · 2023Article
- Single-value scores of memory-related brain activity reflect dissociable neuropsychological and anatomical signatures of neurocognitive aging.Human brain mapping · 2023Article
- Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants.Network neuroscience (Cambridge, Mass.) · 2023Article
- Cofluctuation analysis reveals aberrant default mode network patterns in adolescents and youths with autism spectrum disorder.Human brain mapping · 2022Article
- Trajectory of rich club properties in structural brain networks.Human brain mapping · 2022Article
- Functional Integration and Segregation in a Multilayer Network Model of Patients with Schizophrenia.Brain sciences · 2022Article
- Declaration of common standards for the preregistration of animal research-speeding up the scientific progress.PNAS nexus · 2022Article
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Abstract
Most existing aging studies using functional MRI (fMRI) are based on cross-sectional data but misinterpreted their findings (i.e., age-related differences) as longitudinal outcomes (i.e., aging-related changes). To delineate aging-related changes the of human cerebral cortex, we employed the resting-state fMRI (rsfMRI) data from 24 healthy elders in the PREVENT-AD cohort, obtaining five longitudinal scans per subject. Cortical spontaneous activity is measured globally with three rsfMRI metrics including its amplitude, homogeneity, and homotopy at three different frequency bands (slow-5: 0.02-0.03 Hz, slow-4: 0.03-0.08 Hz, and slow-3 band: 0.08-0.22 Hz). General additive mixed models revealed a universal pattern of the aging-related changes for the global cortical spontaneous activity, indicating increases of these rsfMRI metrics during aging. This aging pattern follows specific frequency and spatial profiles where higher slow bands show more non-linear curves and the amplitude exhibits more extensive and significant aging-related changes than the connectivity. These findings provide strong evidence that cortical spontaneous activity is aging globally, inspiring its clinical utility as neuroimaging markers for neruodegeneration disorders.
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