@article {4481,
	title = {Characterization of High-Gamma Activity in Electrocorticographic signals},
	journal = {Frontiers in Neuroscience},
	volume = {17},
	year = {2023},
	month = {08/2023},
	abstract = {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.},
	issn = {1662-453X},
	doi = {10.3389/fnins.2023.1206120},
	url = {https://www.frontiersin.org/articles/10.3389/fnins.2023.1206120},
	author = {Gruenwald, Johannes and Sieghartsleitner, Sebastian and Kapeller, Christoph and Scharinger, Josef and Kamada, Kyousuke and Brunner, Peter and Guger, Christoph}
}
@article {3551,
	title = {Proceedings of the Seventh International Workshop on Advances in Electrocorticography.},
	journal = {Epilepsy \& behavior : E\&B},
	volume = {51},
	year = {2015},
	month = {Oct},
	pages = {312{\textendash}320},
	abstract = {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.},
	keywords = {Humans},
	issn = {1525-5069},
	doi = {10.1016/j.yebeh.2015.08.002},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/26322594},
	author = {A L Ritaccio and Matsumoto, Riki and Morrell, Martha and Kamada, Kyousuke and Koubeissi, Mohamad and Poeppel, David and Lachaux, Jean-Philippe and Yanagisawa, Yakufumi and Hirata, Masayuki and Guger, Christoph and Gerwin Schalk}
}
@article {3416,
	title = {Proceedings of the Fifth International Workshop on Advances in Electrocorticography.},
	journal = {Epilepsy Behav},
	volume = {41},
	year = {2014},
	month = {12/2014},
	pages = {183-92},
	abstract = {<p>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.</p>},
	keywords = {Brain Mapping, brain-computer interface, electrical stimulation mapping, Electrocorticography, functional mapping, Gamma-frequency electroencephalography, High-frequency oscillations, Neuroprosthetics, Seizure detection, Subdural grid},
	issn = {1525-5069},
	doi = {10.1016/j.yebeh.2014.09.015},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/25461213},
	author = {A L Ritaccio and Peter Brunner and Gunduz, Aysegul and Hermes, Dora and Hirsch, Lawrence J and Jacobs, Joshua and Kamada, Kyousuke and Kastner, Sabine and Robert T. Knight and Lesser, Ronald P and Miller, Kai and Sejnowski, Terrence and Worrell, Gregory and Gerwin Schalk}
}
