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Updated: Oct 23, 2025

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
Published on: August 28, 2021
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.
Background:
Mild behavioral impairment (MBI) is associated with accelerated cognitive decline and greater risk of dementia. However, the neural correlates of MBI have not been completely elucidated.
Objective:
The study aimed to investigate the correlation between cognitively normal participants and participants with amnestic mild cognitive impairment (aMCI) using resting-state functional magnetic resonance imaging.
Methods:
The study included 30 cognitively normal participants and 13 participants with aMCI (20 men and 23 women; mean age, 76.9 years). The MBI was assessed using the MBI checklist (MBI-C). Region of interest (ROI)-to-ROI analysis was performed to examine the correlation between MBI-C scores and functional connectivity (FC) of the default mode network, salience network, and frontoparietal control network (FPCN). Age, Mini-Mental State Examination score, sex, and education were used as covariates. A p-value of 0.05, with false discovery rate correction, was considered significant.
Results:
A negative correlation was observed between the MBI-C total score and FC of the left posterior parietal cortex with the right middle frontal gyrus. A similar result was obtained for the MBI-C affective dysregulation domain score.
Conclusion:
FPCN dysfunction was detected as a neural correlate of MBI, especially in the affective dysregulation domain. This dysfunction may be associated with cognitive impairment in MBI and conversion of MBI to dementia; however, further longitudinal data are needed to examine this relationship.
Insights
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.
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.
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