@article{ref1,
title="Structural covariance pattern abnormalities of insula in major depressive disorder: a CAN-BIND study report",
journal="Progress in neuro-psychopharmacology and biological psychiatry",
year="2020",
author="Ge, Ruiyang and Hassel, Stefanie and Arnott, Stephen R. and Davis, Andrew D. and Harris, Jacqueline K. and Zamyadi, Mojdeh and Milev, Roumen and Frey, Benicio N. and Strother, Stephen C. and Müller, Daniel J. and Rotzinger, Susan and Macqueen, Glenda M. and Kennedy, Sidney H. and Lam, Raymond W. and Vila-Rodriguez, Fidel",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="BACKGROUND AND METHODS: Investigation of the insula may inform understanding of the etiopathogenesis of major depressive disorder (MDD). In the present study, we introduced a novel gray matter volume (GMV) based structural covariance technique, and applied it to a multi-centre study of insular subregions of 157 patients with MDD and 93 healthy controls from the Canadian Biomarker Integration Network in Depression (CAN-BIND, https://www.canbind.ca/). Specifically, we divided the unilateral insula into three subregions, and investigated their coupling with whole-brain GMV-based structural brain networks (SBNs). We compared between-group difference of the structural coupling patterns between the insular subregions and SBNs.   RESULTS: The insula was divided into three subregions, including an anterior one, a superior-posterior one and an inferior-posterior one. In the comparison between MDD patients and controls we found that patients' right anterior insula showed increased inter-network coupling with the default mode network, and it showed decreased inter-network coupling with the central executive network; whereas patients' right ventral-posterior insula showed decreased inter-network coupling with the default mode network, and it showed increased inter-network coupling with the central executive network. We also demonstrated that patients' loading parameters of the right ventral-posterior insular structural covariance negatively correlated with their suicidal ideation scores; and controls' loading parameters of the right ventral-posterior insular structural covariance positively correlated with their motor and psychomotor speed scores, whereas these phenomena were not found in patients. Additionally, we did not find significant inter-network coupling between the whole-brain SBNs, including salience network, default mode network, and central executive network.   CONCLUSIONS: Our work proposed a novel technique to investigate the structural covariance coupling between large-scale structural covariance networks, and provided further evidence that MDD is a system-level disorder that shows disrupted structural coupling between brain networks.<p /> <p>Language: en</p>",
language="en",
issn="0278-5846",
doi="10.1016/j.pnpbp.2020.110194",
url="http://dx.doi.org/10.1016/j.pnpbp.2020.110194"
}