Related Experiment Video
Updated: Sep 3, 2025
13:32
Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
Published on: June 26, 2012
25.9K
Sub-scalp electroencephalography: A next-generation technique to study human neurophysiology
Zulfi Haneef1, Kaiyuan Yang2, Sameer A Sheth3
1Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA.
Summary
Sub-scalp electroencephalography (ssEEG) offers new possibilities for long-term epilepsy monitoring. This review explores ssEEG device utilities, challenges, and future design roadmaps for improved seizure evaluation.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- Sub-scalp electroencephalography (ssEEG) is an emerging technology for ultra-long-term electroencephalography (EEG) recordings.
- The growing diversity of ssEEG devices necessitates a comprehensive review of their utility in epilepsy evaluation.
Purpose of the Study:
- To critically analyze the proposed utilities of ssEEG devices in epilepsy management.
- To review current ssEEG systems, their use cases, and associated challenges.
- To suggest a roadmap for the development of ideal ssEEG designs.
Main Methods:
- Systematic review of current knowledge on ssEEG devices and their applications.
- Analysis of ssEEG device design philosophies, strengths, and limitations.
- Synthesis of information on seizure quantification, characterization, lateralization, localization, alarms, forecasting, biomarker discovery, sleep medicine, and responsive stimulation.
Main Results:
- Various ssEEG devices exist, offering unilateral (e.g., 24/7 EEG™ SubQ) or bilateral recordings (e.g., Minder™).
- Some devices incorporate responsive stimulation capabilities (e.g., EASEE®).
- Key applications include seizure quantification, characterization, lateralization, localization, alarms, forecasting, biomarker discovery, sleep medicine, and responsive stimulation.
Conclusions:
- ssEEG technology holds significant promise for epilepsy evaluation and management.
- Addressing current challenges and establishing clear design roadmaps are crucial for optimizing ssEEG utility.
- Further research and development are needed to fully realize the potential of ssEEG in clinical practice.
