Investigating the Role of Brain Stem in Alzheimers Disease using Directional Brain Networks derived from Resting State fMRI
Sinan Zhao 1 , Archana Venkataraman 2 , Peipeng Liang 3,4 , and Gopikrishna Deshpande 1,5
AU MRI Research Center, Department of
Electrical and Computer Engineering, Auburn university,
Auburn, AL, United States,
of Diagnostic Radiology, School of Medicine, Yale
University, New Haven, CT, United States,
of Radiology, Xuanwu Hospital, Capital Medical
University, Beijing, China,
Key Laboratory of Magnetic Resonance Imaging and Brain
Informatics, Key Laboratory for Neurodegenerative
Diseases, Ministry of Education, Beijing, China,
of Psychology, Auburn University, Auburn, AL, United
Connectivity analysis of resting state fMRI has been
widely used to identify biomarkers of Alzheimers
disease (AD) based on brain network alterations.
However, it is difficult to interpret these connectivity
results because traditionally, our knowledge of brain
function is anchored on regions and not connections.
Therefore, a method was recently introduced for
identification of disease foci based on non-directional
functional connectivity differences between populations.
Here we extend this concept for identifying focal
directional connectivity deficits in AD as compared to
matched controls. We found such a focus in the brain
stem whose output was significantly diminished in AD
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