Bipul Md Rayahan Sarker, Rahman Md Asadur, Hossain Md Foisal
Department of Biomedical Engineering, Khulna University of Engineering and Technology (KUET), Khulna, 9203 Bangladesh.
Department of Biomedical Engineering, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216 Bangladesh.
Cogn Neurodyn. 2024 Aug;18(4):1709-1732. doi: 10.1007/s11571-023-10032-6. Epub 2023 Dec 6.
The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as well as their area of activation in the brain is also different. This variation in pattern is also found in the brain's electrical variations that can be measured from the scalp of the brain using an electroencephalogram (EEG). This work exclusively studied a group of subjects' EEG data (available at: https://archive.physionet.org/physiobank/database/eegmat/) to unravel the activation pattern of the human brain during a mental arithmetic task. Since any cognitive task creates variations in EEG signal pattern, the relative changes in the signal power also occur which is also known as event-related desynchronization/synchronization (ERD/ERS). In this work, ERD/ERS have calculated the band-wise power spectral density (PSD) using Welch's method from the EEG signals. Besides, the coherence analysis was also performed to verify the results of ERD/ERS analysis from several randomly chosen subjects' EEG data. Here, subjects performing mental arithmetic tasks were grouped based on their performances: good (subtraction solved > 10 on average) and bad (subtraction solved ≤ 10 on average) to conduct group-specific ERD/ERS analysis regarding their performance in cognitive tasks. It was found that when the brain is on count condition, the variations found in the band power of theta and beta. The amounts of ERS in the left hemisphere are increased. When the task complexity increases, it contributes to an increase in relative ERD/ERS amounts and durations. The left and right hemispheres were asymmetrically distributed by both the pre-stimulus stages of the corresponding band power and relative ERD/ERS.
大脑在任何任务(如想象、运动或认知任务)期间的功能活动,在模式上有所不同,并且其在大脑中的激活区域也不同。这种模式变化在大脑的电变化中也能发现,可通过脑电图(EEG)从头皮测量得到。这项工作专门研究了一组受试者的EEG数据(可在:https://archive.physionet.org/physiobank/database/eegmat/获取),以揭示人类大脑在心算任务期间的激活模式。由于任何认知任务都会使EEG信号模式产生变化,信号功率也会发生相对变化,这也被称为事件相关去同步化/同步化(ERD/ERS)。在这项工作中,使用Welch方法从EEG信号中计算出了ERD/ERS的频段功率谱密度(PSD)。此外,还进行了相干分析,以验证从几个随机选择的受试者的EEG数据中得出的ERD/ERS分析结果。在这里,根据心算任务的表现将受试者分组:表现好的(平均减法答对>10题)和表现差的(平均减法答对≤10题),以便针对他们在认知任务中的表现进行特定组别的ERD/ERS分析。结果发现,当大脑处于计数状态时,θ波和β波的频段功率会出现变化。左半球的ERS量增加。当任务复杂度增加时,相对的ERD/ERS量和持续时间会增加。在相应频段功率和相对ERD/ERS的刺激前阶段,左右半球呈不对称分布。