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Neural Correlates of Mild Behavioral Impairment: A Functional Brain Connectivity Study Using Resting-State Functional

Teruyuki Matsuoka1, Daisuke Ueno1, Zahinoor Ismail2

  • 1Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, Japan.

Journal of Alzheimer'S Disease : JAD
|August 23, 2021
PubMed
Summary

Mild behavioral impairment (MBI) is linked to cognitive decline and dementia risk. This study found frontoparietal control network (FPCN) dysfunction correlates with MBI, particularly affective dysregulation, suggesting a potential marker for cognitive impairment.

Keywords:
Default mode networkfronto-parietal control networkfunctional magnetic resonance imagingmild behavioral impairmentsalience network

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Gerontology

Background:

  • Mild behavioral impairment (MBI) is a recognized predictor of cognitive decline and dementia.
  • The underlying neural mechanisms of MBI remain incompletely understood.
  • Identifying neural correlates of MBI is crucial for early detection and intervention.

Purpose of the Study:

  • To investigate the relationship between MBI and functional brain connectivity in cognitively normal individuals and those with amnestic mild cognitive impairment (aMCI).
  • To explore the neural correlates of MBI using resting-state functional magnetic resonance imaging (rs-fMRI).

Main Methods:

  • The study included 30 cognitively normal participants and 13 participants with aMCI.
  • Mild behavioral impairment was assessed using the MBI checklist (MBI-C).
  • Region of interest (ROI)-to-ROI analysis examined functional connectivity (FC) within key brain networks, including the frontoparietal control network (FPCN), controlling for age, cognitive status, sex, and education.

Main Results:

  • A significant negative correlation was found between the MBI-C total score and FC between the left posterior parietal cortex and the right middle frontal gyrus.
  • This negative correlation was also observed for the affective dysregulation domain of the MBI-C.
  • These findings implicate FPCN dysfunction in MBI.

Conclusions:

  • Frontoparietal control network (FPCN) dysfunction is identified as a neural correlate of MBI, particularly associated with affective dysregulation.
  • This FPCN dysfunction may contribute to cognitive impairment in MBI and the progression to dementia.
  • Further longitudinal studies are warranted to confirm the relationship between FPCN dysfunction and MBI progression to dementia.