國立政治大學心理學系109-2學術研討會
講者：楊智傑 教授（國立陽明交通大學腦科學研究所）
講題：精神疾病大腦圖譜 Brain Atlas for Psychiatric Disorders
時間：2021年03月22日（星期一）10：10-12：00
地點：國立政治大學研究大樓 250105教室
講者簡介：
楊智傑老師畢業於國立陽明大學醫學系及國立陽明大學臨床醫學研究所博士班，過去曾任國立陽明大學醫學院兼任副教授、美國哈佛大學醫學院講師、助理教授，現為國立陽明交通大學數位醫學中心主任，醫學系副主任，以及腦科學研究所專任教授，同時兼任臨床工作於台北榮民總醫院精神部以及衛生福利部桃園療養院腦醫學中心兼任主任。
楊老師的研究領域為精神醫學、睡眠醫學、腦影像學、智慧醫療，同時亦為精神科醫師，在學術研究與實務工作皆有豐富經歷，其相關著作、研究介紹等資訊如下：
http://precisionpsychiatry.org/
https://brc.ym.edu.tw/zh_tw/Members/member/%E6%A5%8A-%E6%99%BA%E5%82%91-27067127
https://bml.ym.edu.tw/ibs/Members/AccYang.html https://wd.vghtpe.gov.tw/vghpsy/Fpage.action?muid=4178&fid=3488
演講摘要：
Brain atlas is an important reference tool for studying brain function. At present, brain atlases define brain regions based on histology of neurons or anatomical structures, but there has not been any research on brain atlases specifically related to mental disorders. In recent years, psychiatric diseases have made great progress in both drug treatment and etiological research. However, the diagnosis of mental illness still relies on descriptive criteria and lacks objective diagnostic markers. Among many brain-related biomarkers, neuroimaging is the most important tool for studying brain. The recent rise of medical big data and computer sciences has led to the rapid development of artificial intelligence in medical applications. Artificial intelligence algorithms may be able to help find inconspicuous changes in brain images, combined with statistical information as important information to establish the brain mapping of psychiatric disorders. Therefore, our team aims to use the big data of magnetic resonance imaging to establishing brain mapping of schizophrenia, bipolar disorder, and unipolar depression. We have documented brain mapping of psychiatric disorders at different levels through structural, functional, diffusion tensor imaging, and genome-wide big data. This atlas will be able to provide relevant brain structures or dysfunctional brain regions for objectively differentiating mental illnesses. We have also integrated the research results of the brain mapping of mental illness and build a web-based platform for the visualization purpose. We anticipate that the platform may provide advanced information regarding the brain pathology of psychiatric diseases, characterizing by individualized diagnosis and clinical explainability.
