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Topological changes of fast large-scale brain dynamics in mild cognitive impairment predict early memory impairment: a resting-state, source reconstructed, magnetoencephalography study. | LitMetric

AI Article Synopsis

  • Researchers studied brain activity in mild cognitive impairment (MCI) patients using a new framework focused on aperiodic neuronal bursts instead of just average brain activity.
  • They compared data from 32 MCI patients and 32 healthy individuals, finding that MCI patients had a more centralized brain network.
  • The study suggests that changes in these aperiodic bursts could help better understand cognitive impairments and improve patient assessments.

Article Abstract

Functional connectivity has been used as a framework to investigate widespread brain interactions underlying cognitive deficits in mild cognitive impairment (MCI). However, many functional connectivity metrics focus on the average of the periodic activities, disregarding the aperiodic bursts of activity (i.e., the neuronal avalanches) characterizing the large-scale dynamic activities of the brain. Here, we apply the recently described avalanche transition matrix framework to source-reconstructed magnetoencephalography signals in a cohort of 32 MCI patients and 32 healthy controls to describe the spatio-temporal features of neuronal avalanches and explore their topological properties. Our results showed that MCI patients showed a more centralized network (as assessed by higher values of the degree divergence and leaf fraction) as compared to healthy controls. Furthermore, we found that the degree divergence (in the theta band) was predictive of hippocampal memory impairment. These findings highlight the role of the changes of aperiodic bursts in clinical conditions and may contribute to a more thorough phenotypical assessment of patients.

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Source
http://dx.doi.org/10.1016/j.neurobiolaging.2023.08.003DOI Listing

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