98%
921
2 minutes
20
Scalp electroencephalography (EEG) serves as a pivotal technology for the noninvasive monitoring of brain functional activity, diagnosing neurological disorders, and assessing cognitive states. However, inherent compatibility barriers between traditional rigid electrodes and the hairy scalp interface significantly compromise signal quality, long-term monitoring comfort, and user compliance. This review examines conductive hydrogel electrodes' pivotal role in advancing scalp EEG, particularly their unique capacity to overcome hair-interface barriers. The superiority of scalp EEG is first established over forehead/ear EEG for capturing diverse neural signals and defining core requirements for hair-compatible interfaces: scalp conformability, electrical conductivity, low contact impedance, and interfacial stability. Conductive hydrogel electrode applications are then detailed in alpha wave detection, sleep monitoring, event-related potential studies, and brain-computer interfaces. Finally, persisting challenges and future opportunities are discussed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/smtd.202501242 | DOI Listing |
Small Methods
September 2025
Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong, 515063, China.
Scalp electroencephalography (EEG) serves as a pivotal technology for the noninvasive monitoring of brain functional activity, diagnosing neurological disorders, and assessing cognitive states. However, inherent compatibility barriers between traditional rigid electrodes and the hairy scalp interface significantly compromise signal quality, long-term monitoring comfort, and user compliance. This review examines conductive hydrogel electrodes' pivotal role in advancing scalp EEG, particularly their unique capacity to overcome hair-interface barriers.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Breast Surgery, Hangzhou Women's Hospital, Hangzhou, Zhejiang, China.
Objective: This study aims to utilize our hospital's existing Stereo Electroencephalography (SEEG) examination results combined with other clinical data to systematically analyze the risk factors for epilepsy comorbid with depression, and to establish a model for predicting the risk of developing depression in epilepsy patients. Clinically, this model can be used to predict the risk of comorbid depression in epilepsy patients, thereby enhancing the identification of this condition and providing a theoretical basis for proactive intervention in depressive symptoms among epilepsy patients.
Methods: A retrospective analysis was conducted on the clinical data of patients diagnosed with epilepsy in the Department of Neurosurgery at Tongde Hospital Of Zhejiang Province from 01/01/2020-31/12/2024, all of whom underwent Electroencephalography (EEG) examinations.
J Neural Eng
August 2025
Department of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, Aarhus N, 8200, DENMARK.
Previous studies have demonstrated that the speech reception threshold (SRT) can be estimated using scalp electroencephalography (EEG), referred to as SRTneuro. The present study assesses the feasibility of using ear-EEG, which allows for discreet measurement of neural activity from in and around the ear, to estimate the SRTneuro. Approach: Twenty young normal-hearing participants listened to audiobook excerpts at varying signal-to-noise ratios (SNRs) whilst wearing a 66-channel EEG cap and 12 ear-EEG electrodes.
View Article and Find Full Text PDFEpilepsy Behav
August 2025
National Center for Neurological Disorders, Beijing, China; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. Electronic address:
Background: Cingulate epilepsy is rare and can manifest with variable semiology features. The symptomatic diversity elucidates ictal involvement of certain subregions of the cingulate gyrus and early spread patterns. Knowledge of the features of cingulate epilepsy is important for better localization and surgical strategy.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Basic and Clinical Neuroscience, King's College London, London SE1 7EH, UK.
This study investigates the feasibility of using a two-channel subcutaneous EEG device (SubQ) to detect and monitor PGES. The SubQ device, developed by UNEEG Medical A/S, offers a minimally invasive alternative to scalp EEG, enabling ultra-long-term monitoring and remote data analysis. We used annotated scalp EEG data and data from the SubQ device.
View Article and Find Full Text PDF