Findings may suggest that divergent muscle aging trajectories significantly modulate brain network topography and highlight the potential for personalized interventions designed to redirect muscle aging trajectories, ultimately enhancing global functioning and quality of life of older people.
The discrepancy between chronological age and predicted brain age, derived from neuroimaging data, serves as a biomarker for neurological health. However, the exact electroencephalography (EEG) mechanisms contributing to the variation of brain age are yet to be understood. This paper comprehensively investigated the re...
C. Phang, Guo-Dong Miao, Lan-Tu Cai et al.· bioRxiv· 0 citations
Brain-age models use neuroimaging features to predict chronological age. The resulting brain-age gap (BAG), defined as predicted brain age minus chronological age, quantifies deviations from age-expected brain characteristics. Structural brain-age acceleration is well established in schizophrenia spectrum disorders (SS...
S. Volkmer, S. Fritze, D. Altinok et al.· Translational Psychiatry· 0 citations
Brain regions are organized into large-scale networks through dynamic functional connections that support sensorimotor and cognitive processes across the lifespan. Age-related disruptions of these functional systems are associated with cognitive and motor decline and increased risk of neurocognitive disorders. A growin...
F. Gennaro, L. Pini, Maurizio Corbetta et al.· Ageing Research Reviews· 0 citations
Healthy ageing reorganises large-scale functional brain networks. Using resting-state fMRI from 615 adults aged 18 to 88 years in Cam-CAN. We combined raw functional-connectivity analyses, graph-theoretical topology, Ridge and MLP age prediction and their attributions in order to understand how functional brain organis...
Quentin Sénant, Clément Guichet, Nicolas Grivel et al.· bioRxiv· 0 citations
Spontaneous neuronal oscillations support large-scale brain communication and are sensitive to adult aging, yet how their moment-to-moment dynamics change across the adult lifespan and relate to cognition remains unclear. Here, we used resting-state magnetoencephalography (MEG) and time-delay embedded hidden Markov mod...
Zhong-Peng Dai, Yue Gu, Tatia M. C. Lee· GeroScience· 0 citations
The relationship between resting electroencephalography brain characteristics and cognitive abilities, particularly in the context of aging, remains unclear. In this study, we analyzed dynamic microstates, power spectrum, and functional connectivity in electroencephalography resting-state data collected from 123 younge...
Ying Cui, Ya-Ting Bai, Cheng-Hui Tan et al.· Developmental Psychology· 0 citations
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