Abstract
Background/Purpose:
Psychometric intelligence is closely related to working memory (WM) and the associated brain activity. We aimed to clarify the associations between psychometric intelligence and WM-induced functional connectivity changes.
Materials and Methods:
Here we determined the associations between psychometric intelligence measured by nonverbal reasoning (using the Raven's Advanced Progressive Matrices) and WM-induced changes in functional connectivity during the N-back paradigm, in a large cohort of 1221 young adults.
Results:
We observed that the measures of general intelligence showed a significant positive correlation with WM-induced changes in the functional connectivity with the key nodes of the frontoparietal network, such as the bilateral premotor cortices and the presupplementary motor area. Those significant correlations were observed for (1) areas showing a WM-induced increase of the functional connectivity with the abovementioned key nodes, such as the lateral parietal cortex; (2) areas showing a WM-induced decrease of the functional connectivity with the abovementioned key nodes (2-a) such as left perisylvian areas and cuneus, the fusiform gyrus, and the lingual gyrus, which play key roles in language processing, (2-b) hippocampus and parahippocampal gyrus, which play key roles in memory processing, and (2-c) the key node of the default mode network such as the medial prefrontal cortex; as well as (3) the border areas between (1) and (2).
Conclusion:
Psychometric intelligence is associated with WM-induced changes in functional connectivity, influencing the way in which WM key nodes dynamically modulate the interaction with other brain nodes in response to WM.
Impact statement
Psychophysiological interaction analysis is an old, widely used method to detect functional connectivity changes between different areas in response to task conditions. However, the associations of these task-related functional connectivity changes with cognitive functions remain poorly substantiated. We examined the associations between psychometric intelligence and working memory (WM)-induced changes in functional connectivity in a large cohort of young adults. We discovered that psychometric intelligence is associated with WM-induced changes in functional connectivity with WM key nodes and other brain areas.
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Supplementary Material
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