TY - JOUR T1 - Characterization of High-Gamma Activity in Electrocorticographic signals JF - Frontiers in Neuroscience Y1 - 2023 A1 - Gruenwald, Johannes A1 - Sieghartsleitner, Sebastian A1 - Kapeller, Christoph A1 - Scharinger, Josef A1 - Kamada, Kyousuke A1 - Brunner, Peter A1 - Guger, Christoph AB - Introduction: Electrocorticographic (ECoG) high-gamma activity (HGA) is a widely recognized and robust neural correlate of cognition and behavior. However, fundamental signal properties of HGA, such as the high-gamma frequency band or temporal dynamics of HGA, have never been systematically characterized. As a result, HGA estimators are often poorly adjusted, such that they miss valuable physiological information. Methods: To address these issues, we conducted a thorough qualitative and quantitative characterization of HGA in ECoG signals. Our study is based on ECoG signals recorded from 18 epilepsy patients while performing motor control, listening, and visual perception tasks. In this study, we first categorize HGA into HGA types based on the cognitive/behavioral task. For each HGA type, we then systematically quantify three fundamental signal properties of HGA: the high-gamma frequency band, the HGA bandwidth, and the temporal dynamics of HGA. Results: The high-gamma frequency band strongly varies across subjects and across cognitive/behavioral tasks. In addition, HGA time courses have lowpass character, with transients limited to 10 Hz. The task-related rise time and duration of these HGA time courses depend on the individual subject and cognitive/behavioral task. Task-related HGA amplitudes are comparable across the investigated tasks. Discussion: This study is of high practical relevance because it provides a systematic basis for optimizing experiment design, ECoG acquisition and processing, and HGA estimation. Our results reveal previously unknown characteristics of HGA, the physiological principles of which need to be investigated in further studies. VL - 17 UR - https://www.frontiersin.org/articles/10.3389/fnins.2023.1206120 ER - TY - JOUR T1 - Proceedings of the Seventh International Workshop on Advances in Electrocorticography. JF - Epilepsy & behavior : E&B Y1 - 2015 A1 - A L Ritaccio A1 - Matsumoto, Riki A1 - Morrell, Martha A1 - Kamada, Kyousuke A1 - Koubeissi, Mohamad A1 - Poeppel, David A1 - Lachaux, Jean-Philippe A1 - Yanagisawa, Yakufumi A1 - Hirata, Masayuki A1 - Guger, Christoph A1 - Gerwin Schalk KW - Humans AB - The Seventh International Workshop on Advances in Electrocorticography (ECoG) convened in Washington, DC, on November 13-14, 2014. Electrocorticography-based research continues to proliferate widely across basic science and clinical disciplines. The 2014 workshop highlighted advances in neurolinguistics, brain-computer interface, functional mapping, and seizure termination facilitated by advances in the recording and analysis of the ECoG signal. The following proceedings document summarizes the content of this successful multidisciplinary gathering. VL - 51 UR - http://www.ncbi.nlm.nih.gov/pubmed/26322594 ER - TY - JOUR T1 - Proceedings of the Fifth International Workshop on Advances in Electrocorticography. JF - Epilepsy Behav Y1 - 2014 A1 - A L Ritaccio A1 - Peter Brunner A1 - Gunduz, Aysegul A1 - Hermes, Dora A1 - Hirsch, Lawrence J A1 - Jacobs, Joshua A1 - Kamada, Kyousuke A1 - Kastner, Sabine A1 - Robert T. Knight A1 - Lesser, Ronald P A1 - Miller, Kai A1 - Sejnowski, Terrence A1 - Worrell, Gregory A1 - Gerwin Schalk KW - Brain Mapping KW - brain-computer interface KW - electrical stimulation mapping KW - Electrocorticography KW - functional mapping KW - Gamma-frequency electroencephalography KW - High-frequency oscillations KW - Neuroprosthetics KW - Seizure detection KW - Subdural grid AB -

The Fifth International Workshop on Advances in Electrocorticography convened in San Diego, CA, on November 7-8, 2013. Advancements in methodology, implementation, and commercialization across both research and in the interval year since the last workshop were the focus of the gathering. Electrocorticography (ECoG) is now firmly established as a preferred signal source for advanced research in functional, cognitive, and neuroprosthetic domains. Published output in ECoG fields has increased tenfold in the past decade. These proceedings attempt to summarize the state of the art.

VL - 41 UR - http://www.ncbi.nlm.nih.gov/pubmed/25461213 ER -