Journal Article

FZJ-2024-01698

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Multimodal Covariance Network Reflects Individual Cognitive Flexibility

Jiang, L. ; Eickhoff, S. B.FZJ* ; Genon, S.FZJ* ; Wang, G. ; Yi, C. ; He, R. ; Huang, X. ; Yao, D. ; Dong, D. ; Li, F. ; Xu, P. (Corresponding author)

2024
World Scientific Publ. Co. Singapore [u.a.]

This record in other databases:    

Please use a persistent id in citations: doi:10.1142/S0129065724500187  doi:10.34734/FZJ-2024-01698

Abstract: Cognitive 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 coordination of cognitive flexibility and also provides neurobiological markers to predict individual cognitive flexibility.Keywords: Cognitive flexibility; EEG-MRI; multimodal covariance network; response prediction; trail-making test.

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5253 - Neuroimaging (POF4-525) (POF4-525)

Appears in the scientific report 2024

---

Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---