Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning.

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作者： Ming-Xiong,Huang ^[1] ; Annemarie,Angeles-Quinto ^[2] ; Ashley,Robb-Swan ^[1] ; Bianca G,De-la-Garza ^[2] ; Charles W,Huang ^[1] ; Chung-Kuan,Cheng ^[2] ; John R,Hesselink ^[3] ; Erin D,Bigler ^[4] ; Elisabeth A,Wilde ^[5] ; Florin,Vaida ^[1] ; Emily A,Troyer ^[6] ; Jeffrey E,Max ^[6]

作者单位： Department of Radiology, University of California, San Diego, California, USA. ^[1] Radiology and Research Services, VA San Diego Healthcare System, San Diego, California, USA. ^[2] Department of Psychiatry, University of California, San Diego, California, USA. ^[3] Department of Bioengineering, Stanford University, Stanford, California, USA. ^[4] Department of Computer Science and Engineering, University of California, San Diego, California, USA. ^[5] Department of Neurology, University of Utah, Salt Lake City, Utah, USA. ^[6] Herbert Wertheim School of Public Health, Division of Biostatistics and Bioinformatics, University of California, San Diego, California, USA. ^[7] Department of Psychiatry, Rady Children's Hospital, San Diego, California, USA. ^[8]

关键词 delta rhythm gamma rhythm machine learning pediatric traumatic brain injury resting-state MEG

主题词人类(Humans);儿童(Child);脑震荡(Brain Concussion);脑磁图描记术(Magnetoencephalography);脑(Brain);脑震荡后综合征(Post-Concussion Syndrome);脑损伤(Brain Injuries)

DOI 10.1089/neu.2022.0220

PMID 36884305

发布时间 2024-06-03

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准确一般字义偏差语意偏离译文作用小提交