Cited time in webofscience Cited time in scopus

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

Title
Electrocorticogram (ECoG): Engineering Approaches and Clinical Challenges for Translational Medicine
Author(s)
Moon, HyunminKwon, JiiEun, JongheeChung, Chun KeeKim, June SicChou, NamsunKim, Sohee
Issued Date
2024-06
Citation
Advanced Materials Technologies, v.9, no.12
Type
Article
Author Keywords
electrocorticogram (ECoG)ECoG electrodesmicro-ECoG
Keywords
HIGH-FREQUENCY OSCILLATIONSDRUG-RESISTANT EPILEPSYSEIZURE ONSET ZONESURGERY WORK-UPGAMMA ACTIVITYMICROELECTRODE ARRAYSSENSORIMOTOR CORTEXNEURAL INTERFACEELECTRODE ARRAYSSURFACE
ISSN
2365-709X
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. © 2024 The Authors. Advanced Materials Technologies published by Wiley-VCH GmbH.
URI
http://hdl.handle.net/20.500.11750/56858
DOI
10.1002/admt.202301692
Publisher
Wiley
Related Researcher
  • 김소희 Kim, Sohee
  • Research Interests Neural interface; Brain interface; Bio MEMS; Soft MEMS; Stretchable electronics; Zebrafish electrophysiology
Files in This Item:
001188098400001.pdf

001188098400001.pdf

기타 데이터 / 3.74 MB / Adobe PDF download
Appears in Collections:
ETC 1. Journal Articles

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE