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Functional connectivity gradients of the insula to different cerebral systems.

Authors :
Wang, Rui
Mo, Fan
Shen, Yuhao
Song, Yu
Cai, Huanhuan
Zhu, Jiajia
Source :
Human Brain Mapping; Feb2023, Vol. 44 Issue 2, p790-800, 11p
Publication Year :
2023

Abstract

The diverse functional roles of the insula may emerge from its heavy connectivity to an extensive network of cortical and subcortical areas. Despite several previous attempts to investigate the hierarchical organization of the insula by applying the recently developed gradient approach to insula‐to‐whole brain connectivity data, little is known about whether and how there is variability across connectivity gradients of the insula to different cerebral systems. Resting‐state functional MRI data from 793 healthy subjects were used to discover and validate functional connectivity gradients of the insula, which were computed based on its voxel‐wise functional connectivity profiles to distinct cerebral systems. We identified three primary patterns of functional connectivity gradients of the insula to distinct cerebral systems. The connectivity gradients to the higher‐order transmodal associative systems, including the prefrontal, posterior parietal, temporal cortices, and limbic lobule, showed a ventroanterior‐dorsal axis across the insula; those to the lower‐order unimodal primary systems, including the motor, somatosensory, and occipital cortices, displayed radiating transitions from dorsoanterior toward both ventroanterior and dorsoposterior parts of the insula; the connectivity gradient to the subcortical nuclei exhibited an organization along the anterior–posterior axis of the insula. Apart from complementing and extending previous literature on the heterogeneous connectivity patterns of insula subregions, the presented framework may offer ample opportunities to refine our understanding of the role of the insula in many brain disorders. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10659471
Volume :
44
Issue :
2
Database :
Complementary Index
Journal :
Human Brain Mapping
Publication Type :
Academic Journal
Accession number :
161328778
Full Text :
https://doi.org/10.1002/hbm.26099