Pagnotta Mattia F, Arakaki Xianghong, Tran Thao, Strickland David, Harrington Michael, Zouridakis George
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6963-6. doi: 10.1109/EMBC.2015.7319994.
In this study, we compared the brain activation profiles obtained from resting state Electroencephalographic (EEG) and Magnetoencephalographic (MEG) activity in six mild traumatic brain injury (mTBI) patients and five orthopedic controls, using power spectral density (PSD) analysis. We first estimated intracranial dipolar EEG/MEG sources on a dense grid on the cortical surface and then projected these sources on a standardized atlas with 68 regions of interest (ROIs). Averaging the PSD values of all sources in each ROI across all control subjects resulted in a normative database that was used to convert the PSD values of mTBI patients into z-scores in eight distinct frequency bands. We found that mTBI patients exhibited statistically significant overactivation in the delta, theta, and low alpha bands. Additionally, the MEG modality seemed to better characterize the group of individual subjects. These findings suggest that resting-state EEG/MEG activation maps may be used as specific biomarkers that can help with the diagnosis of and assess the efficacy of intervention in mTBI patients.
在本研究中，我们使用功率谱密度（PSD）分析，比较了6名轻度创伤性脑损伤（mTBI）患者和5名骨科对照者静息状态脑电图（EEG）和脑磁图（MEG）活动所获得的大脑激活图谱。我们首先在皮质表面的密集网格上估计颅内偶极EEG/MEG源，然后将这些源投影到具有68个感兴趣区域（ROI）的标准化图谱上。对所有对照受试者每个ROI中所有源的PSD值进行平均，得到一个标准数据库，该数据库用于将mTBI患者的PSD值转换为八个不同频段的z分数。我们发现，mTBI患者在δ、θ和低α频段表现出统计学上的显著过度激活。此外，MEG模式似乎能更好地表征个体受试者群体。这些发现表明静息态EEG/MEG激活图谱可用作特定的生物标志物，有助于mTBI患者的诊断和评估干预效果。
