Abstract #4162

Comparison of Intra-Hippocampal Fiber Tracks and Connectomes between Alzheimer’s Patients and Age-Matched Healthy Controls

Devon Karl Overson^1,2, Yixin Ma³, Trong-Kha Truong^1,2,4, David J. Madden^1,5, Jeffrey R. Petrella^1,2,4, and Allen Song^1,2,4

¹Duke-UNC Brain Imaging & Analysis Center, Duke University, Durham, NC, United States, ²Duke Medical Physics Graduate Program, Duke University, Durham, NC, United States, ³Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, ⁴Department of Radiology, Duke University, Durham, NC, United States, ⁵Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, United States

Synopsis

Keywords: Tractography & Fibre Modelling, Alzheimer's Disease, DTI, Hippocampus, Hippocampal Subfield, ConnectomeChanges in intra-hippocampal connectivity caused by early neurodegeneration in specific hippocampal subfields could serve as a biomarker for the early diagnosis of Alzheimer’s disease (AD), years before the onset of symptoms, when the neurodegeneration may still be reversed by treatments. Here, we use high-resolution DTI to compare intra-hippocampal fiber tracks and connectomes across different hippocampal subfields in AD patients and age-matched healthy controls. A significant (p < 0.01) decrease in number of streamlines was found in the AD group compared to the control group for four pairs of subfields, independently of a reduced hippocampal volume affecting nearly all subfields.

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