Department of Neurological Surgery, University of Pittsburgh, Pennsylvania, USA.
Neurosurg Focus. 2012 Dec;33(6):E9: 1-7. doi: 10.3171/2012.10.FOCUS12282.
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.
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.
Analysis of response times showed significant differences (p < 10(-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(-10)). Concussed patients showed increased activation in the occipitoparietal and temporal regions during evaluation.
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.
人们越来越多地认识到运动和退伍军人中的头部损伤的普遍性和重要性,这使得人们更加关注脑震荡的生理和行为后果。目前的临床实践部分依赖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紊乱方面显示出了前景。作者已经开发出一种新的基于 MEG 的神经影像学策略,为神经疾病提供客观、无创的诊断信息。在当前的研究中,作者展示了一种新的任务方案,然后评估了在任务执行期间获得的 MEG 虚拟记录作为脑震荡的诊断工具。
这项初步研究纳入了 10 名个体(5 名对照志愿者和 5 名有脑震荡病史的患者)。所有参与者在执行语言/空间任务时接受 MEG 评估。每个个体对 320 个句子刺激产生 960 次反应;对每个单词呈现和每个反应的 0.3 秒 MEG 数据进行分析:使用从其他 9 名参与者的数据中构建的规则对每个参与者的数据进行分类。
反应时间分析显示,脑震荡组和正常组之间存在显著差异(p < 0.0001),表明该任务具有敏感性。MEG 测量使 8 名个体中的 10 名个体正确分类为脑震荡与非脑震荡(p = 0.055)。对单次试验数据的分析正确分类了 70%的试验(p < 0.0001)。脑震荡患者在评估过程中显示出枕顶和颞区的激活增加。
这些初步研究结果是 MEG 虚拟记录在诊断脑震荡方面的效用的首次证据。随着进一步的改进,MEG 虚拟记录可能代表一种非侵入性的测试来诊断脑震荡并监测其解决。