Study of functional connectivity during anesthesia based on sparse partial least squares / 生物医学工程学杂志

Anesthesia consciousness monitoring is an important issue in basic neuroscience and clinical applications, which has received extensive attention. In this study, in order to find the indicators for monitoring the state of clinical anesthesia, a total of 14 patients undergoing general anesthesia were collected for 5 minutes resting electroencephalogram data under three states of consciousness (awake, moderate and deep anesthesia). Sparse partial least squares (SPLS) and traditional synchronized likelihood (SL) are used to calculate brain functional connectivity, and the three conscious states before and after anesthesia were distinguished by the connection features. The results show that through the whole brain network analysis, SPLS and traditional SL method have the same trend of network parameters in different states of consciousness, and the results obtained by SPLS method are statistically significant ( <0.05). The connection features obtained by the SPLS method are classified by the support vector machine, and the classification accuracy is 87.93%, which is 7.69% higher than that of the connection feature classification obtained by SL method. The results of this study show that the functional connectivity based on the SPLS method has better performance in distinguishing three kinds of consciousness states, and may provides a new idea for clinical anesthesia monitoring.

Synchronization likelihood analysis of EEG in Alzheimer's disease / 国际生物医学工程杂志

Objective To study the synchronization of electroencephalogram (EEG) in the patients with Alzheimer's disease (AD). Methods Sixteen-channel EEG was recorded under resting, eyes-closed condition in 8 AD patients and 8 control subjects. After data preprocessing, the synchronization likelihood was measured between pairs of EEG channels for the full band,δband (0.5-4 Hz),θband (4-8 Hz),αband (8-13 Hz) andβband (13-30 Hz) in the AD and control groups. Mean synchronization likelihood values of each frequency band were compared between the two groups. Results At the full band,θband andαband, the mean synchronization likelihood values of the AD group were lower than that of the control group (P0.05). Conclusions The EEG synchronization of AD patients decreases at the full band,θandαbands, suggesting that collaborative information processing ability atθandαbands reduces between different brain regions in the AD patients. The research provides support for further study of the brain functional connectivity characteristics in the AD patients.