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Published Online: 21 November 2014

Lateralized Resting-State Functional Connectivity in the Task-Positive and Task-Negative Networks

Publication: Brain Connectivity
Volume 4, Issue Number 9


Studies on functional brain lateralization using functional magnetic resonance imaging (fMRI) have generally focused on lateralization of local brain regions. To explore the lateralization on the whole-brain level, lateralization of functional connectivity using resting-state fMRI (N=87, right handed) was analyzed and left- and right-lateralized networks were mapped. Four hundred two equally spaced regions of interest (ROI) covering the entire gray matter were divided into 358 task-positive and 44 task-negative ROIs. Lateralization of functional connectivity was analyzed separately for the task-positive and task-negative regions to prevent spuriously high lateralization indices caused by negative correlations between task-positive and task-negative regions. Lateralized functional connections were obtained using k-means clustering analysis. Within the task-positive network, the right-lateralized functional connections were between the occipital and inferior/middle frontal regions among other connections, whereas the left-lateralized functional connections were among fusiform gyrus and inferior frontal and inferior/superior parietal regions. Within the task-negative network, the left-lateralized connections were mainly between the precuneus and medial prefrontal regions. Specific brain regions exhibited different left- or right-lateralized connections with other regions, which suggest the importance of reporting lateralized connections over lateralized seed regions. The mean lateralization indices of the left- and right-lateralized connections were correlated, suggesting that the lateralization of connectivity may result from complementary processes between the lateralized networks. The potential functions of the lateralized networks were discussed.

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Published In

cover image Brain Connectivity
Brain Connectivity
Volume 4Issue Number 9November 2014
Pages: 641 - 648
PubMed: 25327308


Published online: 21 November 2014
Published in print: November 2014
Published ahead of production: 18 October 2014


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Xin Di
New Jersey Institute of Technology, Newark, New Jersey.
Eun H. Kim
New Jersey Institute of Technology, Newark, New Jersey.
Peii Chen
Kessler Foundation, West Orange, New Jersey.
New Jersey Medical School, Rutgers University, Newark, New Jersey.
Bharat B. Biswal
New Jersey Institute of Technology, Newark, New Jersey.
New Jersey Medical School, Rutgers University, Newark, New Jersey.


Address correspondence to:Bharat B. BiswalDepartment of Biomedical EngineeringNew Jersey Institute of Technology607 Fenster Hall, University HeightsNewark, NJ 07102E-mail: [email protected]

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No competing financial interests exist.

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