Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints.

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作者： Kausar,Abbas ^[1] ; Mintao,Liu ^[2] ; Manasij,Venkatesh ^[1] ; Enrico,Amico ^[2] ; Alan David,Kaplan ^[3] ; Mario,Ventresca ^[4] ; Luiz,Pessoa ^[5] ; Jaroslaw,Harezlak ^[6] ; Joaquín,Goñi ^[2]

作者单位： Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana, USA. ^[1] School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA. ^[2] Department of Electrical and Computer Engineering, University of Maryland, College Park, Maryland, USA. ^[3] Institute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. ^[4] Department of Radiology and Medical Informatics, University of Geneva (UNIGE), Geneva, Switzerland. ^[5] Lawrence Livermore National Laboratory, Livermore, California, USA. ^[6] Department of Psychology and Maryland Neuroimaging Center, University of Maryland, College Park, Maryland, USA. ^[7] Department of Epidemiology and Biostatistics, Indiana University, Bloomington, Indiana, USA. ^[8] Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA. ^[9]

关键词 FC fingerprinting brain connectomics geodesic distance individual fingerprint regularization

主题词脑(Brain);认知(Cognition);人类(Humans);磁共振成像(Magnetic Resonance Imaging)

DOI 10.1089/brain.2020.0881

PMID 33470164

发布时间 2024-06-18

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准确一般字义偏差语意偏离译文作用小提交