Editorial: State-of-the-art artificial intelligence methods in neurodegeneration

Iman Beheshti; Daichi Sone; Zhijun Yao; Norihide Maikusa

doi:10.3389/fneur.2022.1112639

Editorial: State-of-the-art artificial intelligence methods in neurodegeneration

Front Neurol. 2023 Jan 23:13:1112639. doi: 10.3389/fneur.2022.1112639. eCollection 2022.

Authors

Iman Beheshti¹, Daichi Sone², Zhijun Yao³, Norihide Maikusa⁴

Affiliations

¹ Department of Human Anatomy and Cell Science, University of Manitoba, Winnipeg, MB, Canada.
² Department of Psychiatry, Jikei University School of Medicine, Tokyo, Japan.
³ Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
⁴ Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.

No abstract available

Keywords: algorithms; computational intelligence; data fusion; neurodegeneration; neuroimaging.

Publication types

Editorial

Grants and funding

This work was supported by the Intramural Research Grant (3-10) for Neurological and Psychiatric Disorders of the National Center of Neurology and Psychiatry (NM).