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Magnetoencephalographic virtual recording: a novel diagnostic tool for concussion

机译：脑磁图虚拟记录：脑震荡的新型诊断工具

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Object Heightened recognition of the prevalence and significance of head injury in sports and in combat veterans has brought increased attention to the physiological and behavioral consequences of concussion. Current clinical practice is in part dependent on patient self-report as the basis for medical decisions and treatment. Magnetoencephalography (MEG) shows promise in the assessment of the pathophysiological derangements in concussion. The authors have developed a novel MEG-based neuroimaging strategy to provide objective, noninvasive, diagnostic information in neurological disorders. In the current study the authors demonstrate a novel task protocol and then assess MEG virtual recordings obtained during task performance as a diagnostic tool for concussion. Methods Ten individuals (5 control volunteers and 5 patients with a history of concussion) were enrolled in this pilot study. All participants underwent an MEG evaluation during performance of a language/spatial task. Each individual produced 960 responses to 320 sentence stimuli; 0.3 sec of MEG data from each word presentation and each response were analyzed: the data from each participant were classified using a rule constructed from the data obtained from the other 9 participants. Results Analysis of response times showed significant differences (p ?4) between concussed and normal groups, demonstrating the sensitivity of the task. The MEG measures enabled the correct classification of 8 of 10 individuals as concussed versus nonconcussed (p = 0.055). Analysis of single-trial data classified 70% of trials correctly (p ?10). Concussed patients showed increased activation in the occipitoparietal and temporal regions during evaluation. Conclusions These pilot findings are the first evidence of the utility of MEG virtual recording in diagnosing concussion. With further refinements, MEG virtual recordings may represent a noninvasive test to diagnose concussion and monitor its resolution.
机译：对象对运动和退伍军人中头部受伤的普遍性和重要性的认识得到提高，引起了人们对脑震荡的生理和行为后果的更多关注。当前的临床实践部分取决于患者的自我报告，作为医疗决策和治疗的基础。脑磁图（MEG）在评估脑震荡的病理生理异常方面显示出希望。作者开发了一种基于MEG的新型神经影像学策略，可提供有关神经系统疾病的客观，无创性诊断信息。在当前的研究中，作者演示了一种新颖的任务协议，然后评估任务执行过程中获得的MEG虚拟记录，作为脑震荡的诊断工具。方法本研究共纳入10例患者（5名对照志愿者和5名有脑震荡史的患者）。在执行语言/空间任务期间，所有参与者都进行了MEG评估。每个人对320个句子的刺激产生960个反应;分析每个单词提示和每个响应的0.3秒MEG数据：使用从其他9个参与者获得的数据构造的规则对每个参与者的数据进行分类。结果响应时间的分析显示，脑震荡组和正常组之间存在显着差异（p？4 ），表明了任务的敏感性。 MEG措施可将10个人中的8个人正确分类为脑震荡与非脑震荡（p = 0.055）。单次试验数据分析正确地分类了70％的试验（p？10 ）。在评估过程中，脑震荡患者在枕顶和颞骨区域的激活增加。结论这些初步研究结果是MEG虚拟记录在诊断脑震荡中的实用性的第一个证据。通过进一步改进，MEG虚拟记录可以代表诊断脑震荡并监测其分辨率的非侵入性测试。

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