Abstract #1224

Identifying Brain Connectomic Alterations Specific to Mild Cognitive Impairment and Depression Co-morbid with Parkinson’s Disease

Sinan Zhao¹, Peipeng Liang^2,3,4, and Gopikrishna Deshpande^1,5,6

¹AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, ²Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China, People's Republic of, ³Beijing Key Lab of MRI and Brain Informatics, Beijing, China, People's Republic of, ⁴Key Laboratory for Neurodegenerative Diseases, Ministry of Education, Beijing, China, People's Republic of, ⁵Department of Psychology, Auburn University, Auburn, AL, United States, ⁶Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, Auburn, AL, United States

Resting state fMRI has been used to investigate connectomic alterations in Parkinson’s disease (PD). These studies used conventional connectivity analysis where in connectivity is assumed to be stationary over time. However, recent work suggests that temporal variability of connectivity is sensitive to human behavior in health and disease. Therefore, we estimated static functional connectivity (SFC), dynamic FC (DFC) from: PD, PD subjects with mild-cognitive-impairment (PDMCI), Depressed PD subjects with MCI (DPDMCI) and Normal Controls (NC). We hypothesized that increased disease burden would lead to reduced strength of SFC and the variability of DFC. We provide evidence to support this hypothesis.

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