Christopher C. Abbott

According to our database, Christopher C. Abbott authored at least 5 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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, Robyn L. Miller, Vince D. Calhoun

Brain Connect., 2021

2020

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, Robyn L. Miller, Vince D. Calhoun

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014

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

2011

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