White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models.

导出 OA

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第一作者： Seyedmehdi,Payabvash

第一单位： 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.;2 Department of Radiology, University of Washington, Seattle, Washington.

作者： Seyedmehdi,Payabvash ^[1] ; Eva M,Palacios ^[2] ; Julia P,Owen ^[3] ; Maxwell B,Wang ^[4] ; Teresa,Tavassoli ^[5] ; Molly,Gerdes ^[5] ; Anne,Brandes-Aitken ^[5] ; Daniel,Cuneo ^[2] ; Elysa J,Marco ^[6] ; Pratik,Mukherjee ^[7]

作者单位： 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.;2 Department of Radiology, University of Washington, Seattle, Washington. ^[1] 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California. ^[2] 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.;3 University of Pittsburg School of Medicine, Pittsburgh, Pennsylvania. ^[3] 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.;4 Department of Neurology, University of California, San Francisco, San Francisco, California. ^[4] 5 Department of Psychiatry, University of California, San Francisco, San Francisco, California. ^[5] 5 Department of Psychiatry, University of California, San Francisco, San Francisco, California.;6 Department of Pediatrics, University of California, San Francisco, San Francisco, California. ^[6] 1 Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.;7 Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California. ^[7]

关键词 autism diffusion tensor imaging edge density imaging machine learning