Functional connectome stability and optimality are markers of cognitive performance
Anna Corriveau1, Kwangsun Yoo2, Young Hye Kwon2
1Department of Psychology, The University of Chicago, Chicago, IL 60637, USA.
Cerebral Cortex (New York, N.Y. : 1991)
|November 21, 2022
Summary
Brain connectivity patterns are unique. More stable brain functional connectivity is linked to better attention and working memory performance, suggesting connectome features predict cognitive abilities.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Imaging
Background:
- Individual brain functional connectomes (patterns of whole-brain functional connectivity) are unique.
- Previous research linked specific connection strengths to cognitive performance.
- Overall connectome features, like stability and similarity to typical or optimal patterns, may also influence cognition.
Purpose of the Study:
- To investigate if stable, typical, optimal, and distinctive functional connectivity patterns correlate with cognitive task performance.
- To determine if connectome features predict individual differences in attention and working memory.
Main Methods:
- Analysis of functional magnetic resonance imaging (fMRI) data from three independent samples.
- Assessment of task-based functional connectivity patterns.
- Correlation of connectome stability and similarity metrics with cognitive task performance.
Main Results:
- Individuals with more stable task-based functional connectivity showed better performance on attention and working memory tasks.
- This association remained significant even after controlling for behavioral performance stability.
- Preliminary evidence suggests individuals with more typical and optimal functional connectivity patterns also exhibit enhanced cognitive performance.
Conclusions:
- Functional connectome stability within individuals is a significant predictor of cognitive abilities, particularly attention and working memory.
- Similarity of an individual's connectome to group-average or high-performance patterns may also reflect cognitive function.
- These findings highlight the importance of considering global and temporal characteristics of brain connectivity for understanding individual cognitive differences.
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