Multimodal Covariance Network Reflects Individual Cognitive Flexibility

Int J Neural Syst. 2024 Feb 17:2450018. doi: 10.1142/S0129065724500187. Online ahead of print.ABSTRACTCognitive flexibility refers to the capacity to shift between patterns of mental function and relies on functional activity supported by anatomical structures. However, how the brain's structural-functional covarying is preconfigured in the resting state to facilitate cognitive flexibility under tasks remains unrevealed. Herein, we investigated the potential relationship between individual cognitive flexibility performance during the trail-making test (TMT) and structural-functional covariation of the large-scale multimodal covariance network (MCN) using magnetic resonance imaging (MRI) and electroencephalograph (EEG) datasets of 182 healthy participants. Results show that cognitive flexibility correlated significantly with the intra-subnetwork covariation of the visual network (VN) and somatomotor network (SMN) of MCN. Meanwhile, inter-subnetwork interactions across SMN and VN/default mode network/frontoparietal network (FPN), as well as across VN and ventral attention network (VAN)/dorsal attention network (DAN) were also found to be closely related to individual cognitive flexibility. After using resting-state MCN connectivity as representative features to train a multi-layer perceptron prediction model, we achieved a reliable prediction of individual cognitive flexibility performance. Collectively, this work offers new perspectives on the structural-functional coordinatio...

Source: International Journal of Neural Systems - February 19, 2024 Category: Neurology Authors: Lin Jiang Simon B Eickhoff Sarah Genon Guangying Wang Chanlin Yi Runyang He Xunan Huang Dezhong Yao Debo Dong Fali Li Peng Xu Source Type: research