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Abstract #4204

Fixel-based analysis of white matter fiber characteristics and cognitive dysfunction in Alzheimer’s disease

Wenxuan Li1,2, Ting Huang3, Rong Liu3, Jianbing Zhu4,5, Shangxian Xu6, Jianliang Wang7, Ping Wang8, Xiaoyun Liang9,10, Jiangtao Zhu3, and Lei Zhang1,2
1Medical Physics Graduate Program, Duke Kunshan University, Suzhou, China, 2Jiangsu Provincial University Key Laboratory for Smart Diagnosis and Treatment of Lung Cancer, Duke Kunshan University, Suzhou, China, 3Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China, 4Department of Radiology, Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School of Nanjing University, Suzhou, China, 5Tongan Branch Hospital, Suzhou Hospital, Affiliated Hospital of Medical School of Nanjing University, Suzhou, China, 6Department of Anesthesiology, Children's Hospital of Soochow University, Suzhou, China, 7Department of Radiology, The First People's Hospital of Kunshan, Suzhou, China, 8Neuroimaging Innovation Center in the Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, United States, 9Institute of Artificial Intelligence and Clinical Innovation, Neusoft Medical Systems Co., Ltd., Shanghai, China, 10Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia

Synopsis

Keywords: DWI/DTI/DKI, Alzheimer's Disease

Motivation: The relationship between white matter (WM) structure, Alzheimer's disease (AD) progression, and cognitive dysfunction remains unclear.

Goal(s): To identify WM fiber differences between healthy controls (HC), mild cognitive impairment (MCI), mild AD, moderate AD, and WM fiber characteristics correlation with cognitive dysfunctions.

Approach: Fixel-based analysis (FBA) was used to measure WM fiber density (FD), fiber cross-sectional area (FC), and fiber density and cross-section (FDC) across 27 HC, 19 MCI, 19 mild AD, and 25 moderate AD participants.

Results: AD patients showed significant reductions in FD, FC, and FDC in various WM fiber tracts. Some of the reductions also correlated with lower cognitive scores.

Impact: This study shows that FBA-measured WM fiber characteristics correlate with AD severity and cognitive decline. These metrics may serve as biomarkers for monitoring disease progression and aiding in the diagnosis of AD.

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Keywords