ISSN Print 2713-2757
ISSN Online 2713-2765
SCIENTIFIC AND PRACTICAL REVIEWED JOURNAL OF FMBA OF RUSSIA
ORIGINAL RESEARCH
The issue of preserving interictal activityin long-term EEG studies of epilepsy
About authors
1 Engineering and Physical Institute of Biomedicine, National Research Nuclear University MEPhI, Moscow, Russia
2 La Salute Clinic, Moscow, Russia
Correspondence should be addressed: Sergey A. Gulyaev
Ramenki, 31, k. 136, Moscow, 119607; ur.xednay@ssurgres
About paper
Author contribution: Gulyaev SA— study concept, EEG analysis, manuscript writing; Klimanov SG, Germashev GA, Khanukhova LM — data analysis; Garmash AA — project management.
Compliance with ethical standards: the study was approved by the Ethics Committee of the La Salute Clinic (protocol No. 11-011/24 dated 11 January 2024); it was conducted in accordance with the contract between the National Research Nuclear University MEPhI and La Salute Clinic (No. 09-01/23 dated 09 January 2023) and the principles set out in the Declaration of Helsinki (1964) and its subsequent updates.
Received: 2024-03-12
Accepted: 2024-06-08
Published online: 2024-06-26
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Fig. 1. Percentage of registration of default brain activity when solving an inverse EEG task (Chi-squared test; p = 0.04)
Fig. 2. Default activity in individual Brodmann fields that implement the processes of gnosis and information processing (Chi-squared test; p = 0.6)
Fig. 3. Default activity in individual Brodmann fields that implement speech function (Chi-squared test; p = 0.01)
Fig. 4. Two-dimensional EEG mapping of a long-term EEG study performed for the entire volume of data (A); for data excluding epileptiform activity (B); for epileptiform activity excluding interictal activity (C). (EEGLAB program (MATHWORKS). Artifact activity is excluded from the data using independent signal component analysis technology)
Fig. 5. Implementation of technology (technological prototype) for eliminating interictal activity during a long-term (9 h) EEG study. (BRAINSTORM program (MATHWORKS). Artifact activity is excluded from the data using independent signal component analysis technology)
Table 1. Frequency of registration of individual EEG microstates in the control observation group
Table 2. Frequency of registration of individual EEG microstates in the comparative observation group
Table 3. Lifetime of individual EEG microstates in the control observation group
Table 4. Lifetime of individual EEG microstates in the comparison group
