Increased interhemispheric functional connectivity during non-dominant hand movement in right-handed subjects

• Published in: iScience Vol. 26; no. 9; p. 107592
• Main Authors: Tsurugizawa, Tomokazu, Taki, Ai, Zalesky, Andrew, Kasahara, Kazumi
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 15.09.2023; Elsevier
• Subjects: Biological sciences; Neuroscience; Techniques in neuroscience; Techniques in neuroscience; Neuroscience; Biological sciences
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2023.107592

Hand preference is one of the behavioral expressions of lateralization in the brain. Previous fMRI studies showed the activation in several regions including the motor cortex and the cerebellum during single-hand movement. However, functional connectivity related to hand preference has not been investigated. Here, we used the generalized psychophysiological interaction (gPPI) approach to investigate the alteration of functional connectivity during single-hand movement from the resting state in right-hand subjects. The functional connectivity in interhemispheric motor-related regions including the supplementary motor area, the precentral gyrus, and the cerebellum was significantly increased during non-dominant hand movement, while functional connectivity was not increased during dominant hand movement. The general linear model (GLM) showed activation in contralateral supplementary motor area, contralateral precentral gyrus, and ipsilateral cerebellum during right- or left-hand movement. These results indicate that a combination of GLM and gPPI analysis can detect the lateralization of hand preference more clearly. [Display omitted] •Interhemispheric functional connectivity increased during dominant hand movement•Functional connectivity was not changed during non-dominant hand movement•BOLD signal increase was almost symmetrical during right- or left-hand movement•Larger cluster size of the activated area was observed during dominant hand movement Biological Sciences; Neuroscience; Techniques in neuroscience