Cerebral small vessel disease (CSVD) involves pathophysiological changes in the function and anatomy of the brain that affect its activity. Electroencephalogram (EEG) signals reflect the electrophysical activities of the brain and can be non-invasively measured with wearable devices. EEG has been used in the detection of CSVD-related cognitive impairment. Recently, development of artificial intelligence (AI) technologies provides new potential for EEG-enhanced diagnosis of CSVD. In this chapter, we review the state of the art and summarize the recent advancements as well as limitations to provide future directions for the EEG-based detection of CSVD. This chapter provides a reference for clinicians, physiologists, and biomedical engineers.
Authors: Fatima Faraz, Jeremy Man Ho Hui, Maimoona Siddiqui, Haipeng Liu, Aiza Iqbal
DOI: https://doi.org/10.1201/9781003481621-4
Publish Year: 2025
