Doll Theodor, Stieglitz Thomas, Heumann Anna Sophie, Wójcik Daniel K
Biomaterial Engineering, Hannover Medical School, 30625 Hannover, Germany.
Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering (IMTEK) and BrainLinks-BrainTools Center, University of Freiburg, 79085 Freiburg im Breisgau, Germany.
Sensors (Basel). 2024 Dec 19;24(24):8116. doi: 10.3390/s24248116.
The precise localization of epileptic foci with the help of EEG or iEEG signals is still a clinical challenge with current methodology, especially if the foci are not close to individual electrodes. On the research side, dipole reconstruction for focus localization is a topic of recent and current developments. Relatively low numbers of recording electrodes cause ill-posed and ill-conditioned problems in the inversion of lead-field matrices to calculate the focus location. Estimations instead of tissue conductivity measurements further deteriorate the precision of location tasks. In addition, time-resolved phase shifts are used to describe connectivity. We hypothesize that correlations over runtime approaches might be feasible to predict seizure foci with adequate precision. In a case study on EEG correlation in a healthy subject, we found repetitive periods of alternating high correlation in the short (20 ms) and long (300 ms) range. During these periods, a numerical determination of proportions of predominant latency and, newly established here, directionality is possible, which supports the identification of loops that, according to current opinion, manifest themselves in epileptic seizures. In the future, this latency and directionality analysis could support focus localization via dipole reconstruction using new triangulation calculations.
借助脑电图(EEG)或颅内脑电图(iEEG)信号精确确定癫痫病灶的位置,在当前方法下仍是一项临床挑战,尤其是当病灶距离单个电极较远时。在研究方面,用于病灶定位的偶极子重建是近期和当前的一个发展课题。相对较少数量的记录电极在对导联场矩阵进行反演以计算病灶位置时会导致不适定和病态问题。使用估计值而非组织电导率测量值会进一步降低定位任务的精度。此外,时间分辨相移用于描述连通性。我们假设通过运行时方法进行相关性分析可能可行,从而以足够的精度预测癫痫病灶。在一项关于健康受试者脑电图相关性的案例研究中,我们发现在短(20毫秒)和长(300毫秒)范围内存在交替高相关性的重复周期。在这些周期内,可以对主要潜伏期的比例以及在此新确立的方向性进行数值测定,这有助于识别环路,根据目前的观点,这些环路在癫痫发作中会表现出来。未来,这种潜伏期和方向性分析可通过使用新的三角测量计算进行偶极子重建来支持病灶定位。