{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T11:17:28Z","timestamp":1784805448592,"version":"3.55.0"},"reference-count":55,"publisher":"Georg Thieme Verlag KG","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Sports Med"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Due to the mildness of initial injury, many athletes with recurrent mild\n                    traumatic brain injury (mTBI) are misdiagnosed with other neuropsychiatric\n                    illnesses. This study was designed as a proof-of-principle feasibility trial for\n                    athletic trainers at a sports facility to generate electroencephalograms (EEGs)\n                    from student athletes for discriminating (mTBI) associated EEGs from uninjured\n                    ones. A total of 47 EEGs were generated, with 30 athletes recruited at baseline\n                    (BL) pre-season, after a concussive injury (IN), and post-season (PS). Outcomes\n                    included: 1) visual analyses of EEGs by a neurologist; 2) support vector machine\n                    (SVM) classification for inferences about whether particular groups belonged to\n                    the three subgroups of BL, IN, or PS; and 3) analyses of EEG synchronies\n                    including phase locking value (PLV) computed between pairs of distinct\n                    electrodes. All EEGs were visually interpreted as normal. SVM classification\n                    showed that BL and IN could be discriminated with 81% accuracy using\n                    features of EEG synchronies combined. Frontal inter-hemispheric phase\n                    synchronization measured by PLV was significantly lower in the IN group. It is\n                    feasible for athletic trainers to record high quality EEGs from student\n                    athletes. Also, spatially localized metrics of EEG synchrony can discriminate\n                    mTBI associated EEGs from control EEGs.<\/jats:p>","DOI":"10.1055\/a-2091-4860","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T23:29:58Z","timestamp":1683761398000},"page":"896-905","source":"Crossref","is-referenced-by-count":3,"title":["Relaxed Alert Electroencephalography Screening for Mild Traumatic\n                    Brain Injury in Athletes"],"prefix":"10.1055","volume":"44","author":[{"given":"Samah","family":"Abdul Baki","sequence":"additional","affiliation":[{"name":"Clinical BioSignal Group Corp., Acton, Massachusetts, United\n                    States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zohreh","family":"Zakeri","sequence":"additional","affiliation":[{"name":"Department of Engineering, Nottingham Trent University School of\n                    Science and Technology, Nottingham, United Kingdom of Great Britain and Northern\n                    Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geetha","family":"Chari","sequence":"additional","affiliation":[{"name":"Pediatric Neurology, SUNY Downstate Medical Center, New York City,\n                    United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9","family":"Fenton","sequence":"additional","affiliation":[{"name":"Center for Neural Science, NYU, New York, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmet","family":"Omurtag","sequence":"additional","affiliation":[{"name":"Department of Engineering, Nottingham Trent University School of\n                    Science and Technology, Nottingham, United Kingdom of Great Britain and Northern\n                    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