Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease

Fatima Faraz; Jeremy Man Ho Hui; Momina Riaz Siddiqui; Haipeng Liu; Aiza Iqbal

doi:10.1201/9781003481621-4

Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease

Fatima Faraz
, Jeremy Man Ho Hui
, Momina Riaz Siddiqui
, Haipeng Liu
, Aiza Iqbal

Rawalpindi Medical University
Powerhealth Research Institute
The University of Hong Kong

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases
Subtitle of host publication	Towards Data-Driven Smart Healthcare
Editors	Haipeng Liu, Gary Tse
Publisher	CRC Press, Taylor & Francis Group
Chapter	4
Pages	64-75
Number of pages	12
Edition	1
ISBN (Electronic)	9781003481621
ISBN (Print)	9781032771694
DOIs	https://doi.org/10.1201/9781003481621-4
Publication status	Published - 23 Jun 2025

Bibliographical note

© 2025 selection and editorial matter, Haipeng Liu and Gary Tse; individual chapters, the contributors.
CRC Press, Taylor & Francis GroupCopyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This is the Accepted Author Manuscript (AAM) of a book chapter that has been peer reviewed and accepted for publication. The final published version is available from the publisher at the DOI listed in this record.

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Faraz, F., Hui, J. M. H., Siddiqui, M. R., Liu, H., & Iqbal, A. (2025). Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease. In H. Liu, & G. Tse (Eds.), Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases: Towards Data-Driven Smart Healthcare (1 ed., pp. 64-75). CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9781003481621-4

Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease. / Faraz, Fatima; Hui, Jeremy Man Ho; Siddiqui, Momina Riaz et al.
Cutting-Edge Diagnostic Technologies in Cardiovascular Diseases: Towards Data-Driven Smart Healthcare. ed. / Haipeng Liu; Gary Tse. 1. ed. CRC Press, Taylor & Francis Group, 2025. p. 64-75.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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abstract = "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.",

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Applications of Electroencephalography in Detecting Cerebral Small Vessel Disease

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