Continuous behavioral tracing-based online functional brain mapping with intracranial electroencephalography

Wen, Jianbin; Yu, Tao; Wang, Xueyuan; Liu, Chang; Zhou, Tianyi; Li, Yongjie; Li, Xiaoli

Angol nyelvű Tudományos Szakcikk (Folyóiratcikk)
Megjelent: JOURNAL OF NEURAL ENGINEERING 1741-2560 15 (5) Paper: 054002 , 9 p. 2018
  • SJR Scopus - Biomedical Engineering: D1
    Intracranial electroencephalography (iEEG) has proven to be a reliable tool in clinical functional brain mapping. While iEEG signals are believed to be highly informative, making online or real-time functional mapping possible, the utilization of corresponding behavioral information in traditional trial-based paradigms is typically low. This imbalance has limited the efficiency and effectiveness in current iEEG-based functional mapping approaches. Objective. In the current study, we were to investigate whether using more dedicate behavioral information can improve iEEG-based functional mapping. Approach. We continuously monitored behavioral outputs of patients during iEEG recording, transformed them into regressors, and assessed their correlations with iEEG signals. Main results. Functional cortical sites identified in preliminary test using the proposed method showed considerable consistency with the results from electrical cortical stimulation (ECS) as well as a trial-based method. Continuous behavioral tracing yielded more dependency to neural signals than sole event markers-derived regressor. Based on this, we successfully performed online functional brain mapping during five neurosurgery operations, which yielded satisfactory results. Significance. In the present study, we showed the utilization of continuous behavioral tracing can improve the efficiency of iEEG-based functional brain mapping. We then demonstrated this approach is adequate for multi-session intraoperative functional assessment within short time span, which is of considerable clinical value.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2021-05-13 02:09