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Abstract #4099

Multimodal MRI Reveals Neurobiological Alterations in High Schizotypy: Insights from Diffusion and Perfusion Imaging

Zhujun Wei1,2, Wei Mao1,2, Lixian Wang3, Yunru Wang4,5, Xuan Wang4,5, Yihang Huang4,5, Lingling Wang6, Huixin Hu7, Fangrong Zong8, Yi Wang4,5, Simon F. Eskildsen9, Raymond C.K. Chan4,5, and Rong Xue1,2,10
1Institute of Biophysics, Chinese Academy of Sciences, Beijing, China, 2Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China, 3Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China, 5Department of Psychology, University of Chinese Academy of Sciences, Beijing, China, 6School of Psychology, Shanghai Normal University, Shanghai, China, 7Department of Psychology, School of Humanities and Social Sciences, Beijing Forestry University, Beijing, China, 8School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China, 9Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 10Beijing Institute for Brain Disorders, Beijing, China

Synopsis

Keywords: Psychiatric Disorders, Psychiatric Disorders, Schizotypy, diffusion, perfusion, NODDI

Motivation: The etiology of schizophrenia still remains unclear that makes it harder to predict its progression.

Goal(s): This study aims to highlight early neurobiological markers associated with schizophrenia.

Approach: This study employed diffusion and perfusion weighted imaging to identify the structural and functional brain changes in high schizotypy population, individuals with subclinical manifestations of schizophrenia.

Results: Diffusion weighted imaging reveals significant white matter abnormalities specifically in right hemisphere. Perfusion imaging shows prolonged arterial transit time and reduced cerebral blood flow in few brain regions.

Impact: Our findings suggest early potential biomarkers of schizophrenia through multi-modal MRI, which is critical for early diagnosis and intervention strategies in high-risk populations.

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