Quasicriticality explains variability of human neural dynamics across life span

Fosque, Leandro J. and Alipour, Abolfazl and Zare, Marzieh and Williams-García, Rashid V. and Beggs, John M. and Ortiz, Gerardo (2022) Quasicriticality explains variability of human neural dynamics across life span. Frontiers in Computational Neuroscience, 16. ISSN 1662-5188

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Abstract

Aging impacts the brain's structural and functional organization and over time leads to various disorders, such as Alzheimer's disease and cognitive impairment. The process also impacts sensory function, bringing about a general slowing in various perceptual and cognitive functions. Here, we analyze the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) resting-state magnetoencephalography (MEG) dataset—the largest aging cohort available—in light of the quasicriticality framework, a novel organizing principle for brain functionality which relates information processing and scaling properties of brain activity to brain connectivity and stimulus. Examination of the data using this framework reveals interesting correlations with age and gender of test subjects. Using simulated data as verification, our results suggest a link between changes to brain connectivity due to aging and increased dynamical fluctuations of neuronal firing rates. Our findings suggest a platform to develop biomarkers of neurological health.

Item Type: Article
Subjects: Institute Archives > Medical Science
Depositing User: Managing Editor
Date Deposited: 27 Mar 2023 04:09
Last Modified: 05 Mar 2024 03:38
URI: http://eprint.subtopublish.com/id/eprint/1945

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