journal article·2024-06Open access

Electrocorticogram (ECoG): Engineering Approaches and Clinical Challenges for Translational Medicine

Hyunmin Moon, Jii Kwon, Jonghee Eun, Chun Kee Chung, June Sic Kim, Namsun Chou, Sohee Kim

Advanced Materials Technologies· Volume 9· Issue 12

Abstract

Abstract Electrocorticogram (ECoG) is an electrophysiological signal that results from the summation of neuronal activity near the cortical surface. To record ECoG signals, the scalp and skull are surgically opened and electrodes are placed on the cortical surface, either epidurally or subdurally. Owing to its improved spatiotemporal resolution and signal quality compared with electroencephalography, it is widely used to diagnose and treat neurological disorders in clinical settings for several decades, despite the invasiveness of ECoG. Recently, ECoG is applied in research to explore brain functions and connectivity, brain‐computer interfaces, and brain‐machine interfaces. In addition to the need for ECoG in neuroscience research, ECoG devices have advanced in terms of materials, fabrication, and function to overcome the limitations of commercially available ECoG arrays. Here, the conventional use of ECoG in clinical medicine, the new applications of ECoG in basic neuroscience research, and the future challenges in translating recent developments in ECoG devices for clinical use are described.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: EEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering · Epilepsy research and treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu 42988 Republic of Korea

Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Department of Brain & Cognitive Sciences Seoul National University Seoul 08826 Republic of Korea

Emotion, Cognition, & Behavior Research Group Korea Brain Research Institute Daegu 41062 Republic of Korea

Department of Neurosurgery Seoul National University Seoul 08826 Republic of Korea

Clinical Research Institute Konkuk University Medical Center Seoul 05030 Republic of Korea

Department of Electrical and Computer Engineering University of California San Diego La Jolla CA 92093 USA

Funding

Korea Brain Research Institute · National Research Foundation of Korea · Ministry of Science and ICT, South Korea

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