A Case Study on EEG Signal Correlation Towards Potential Epileptic Foci Triangulation

被引:0
作者
Doll, Theodor [1 ]
Stieglitz, Thomas [2 ,3 ]
Heumann, Anna Sophie [1 ]
Wojcik, Daniel K. [4 ]
机构
[1] Hannover Med Sch, Biomat Engn, D-30625 Hannover, Germany
[2] Univ Freiburg, Dept Microsyst Engn IMTEK, Lab Biomed Microtechnol, D-79085 Freiburg, Germany
[3] Univ Freiburg, BrainLinks BrainTools Ctr, D-79085 Freiburg, Germany
[4] Polish Acad Sci, Nencki Inst Expt Biol, PL-02093 Warsaw, Poland
关键词
clinical electric source imaging; signal propagation; time delay correlation; EEG; ECoG; DIRECTED TRANSFER-FUNCTION; LOCALIZATION; OSCILLATIONS; 3D;
D O I
10.3390/s24248116
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 59 条
  • [1] Megevand P., Hamid L., Dumpelmann M., Heers M., New horizons in clinical electric source imaging, Z. Epileptol, 32, pp. 187-193, (2019)
  • [2] Kaiboriboon K., Luders H.O., Hamaneh M., Turnbull J., Lhatoo S.D., EEG source imaging in epilepsy—Practicalities and pitfalls, Nat. Rev. Neurol, 8, pp. 498-507, (2012)
  • [3] Vorwerk J., Wolters C.H., Baumgarten D., Global sensitivity of EEG source analysis to tissue conductivity uncertainties, Front. Hum. Neurosci, 18, (2024)
  • [4] Schmitt F.C., Stefan H., Holtkamp M., Epileptische Anfälle und Epilepsien im Erwachsenenalter: Diagnostik und Therapie, pp. 21-28, (2021)
  • [5] Tamilia E., Madsen J.R., Grant P.E., Pearl P.L., Papadelis C., Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy, Front. Neurology, 8, (2017)
  • [6] Liu Y., Su H., Li C., Effect of Inverse Solutions, Connectivity Measures, and Node Sizes on EEG Source Network: A Simultaneous EEG Study, IEEE Trans. Neural Syst. Rehabil. Eng, 32, pp. 2644-2653, (2024)
  • [7] Kwan P., Brodie M.J., Early identification of refractory epilepsy, N. Engl. J. Med, 342, pp. 314-319, (2000)
  • [8] Dumpelmann M., Early seizure detection for closed loop direct neurostimulation devices in epilepsy, J. Neural Eng, 16, (2019)
  • [9] Bauer S., Rosenow F., Anfalle I., Diener H.-C., Steinmetz H., Kastrup O., Referenz Neurologie, pp. 158-172, (2019)
  • [10] Todaro C., Marzetti L., Sosa P.A.V., Valdes-Hernandez P.A., Pizzella V., Mapping Brain Activity with Electrocorticography: Resolution Properties and Robustness of Inverse Solutions, Brain Topogr, 32, pp. 583-598, (2019)