Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia. - Arvind Caprihan; Christopher C. Abbott; Jeremy Yamamoto; Godfrey D. Pearlson; Nora I. Perrone-Bizzozero; Jing Sui; Vince D. Calhoun (Brain Connect., 2011)

Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across sensory paradigms in schizophrenia. - Mustafa S. Çetin; Fletcher Christensen; Christopher C. Abbott; Julia M. Stephen; Andrew R. Mayer; José M. Cañive; Juan R. Bustillo; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2014)

Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms. - Benjamin S. C. Wade; Jing Sui; Stephanie Njau; Amber M. Leaver; Megha Vasvada; Boris A. Gutman; Paul M. Thompson; Randall Espinoza; Roger P. Woods; Christopher C. Abbott; Katherine L. Narr; Shantanu H. Joshi (ISBI, 2017)

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. - Elaheh Zendehrouh; Mohammad S. Eslampanah Sendi; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (EMBC, 2020)

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (Brain Connect., 2021)