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Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG
Direct recordings from the human brain have historically involved epilepsy patients undergoing invasive electroencephalography (iEEG) for surgery. However, these measurements are temporally limited and affected by clinical variables. The RNS System (NeuroPace, Inc.) is a chronic, closed-loop electro...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345863/ https://www.ncbi.nlm.nih.gov/pubmed/30679734 http://dx.doi.org/10.1038/s41598-018-37561-z |
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author | Henin, Simon Shankar, Anita Hasulak, Nicholas Friedman, Daniel Dugan, Patricia Melloni, Lucia Flinker, Adeen Sarac, Cansu Fang, May Doyle, Werner Tcheng, Thomas Devinsky, Orrin Davachi, Lila Liu, Anli |
author_facet | Henin, Simon Shankar, Anita Hasulak, Nicholas Friedman, Daniel Dugan, Patricia Melloni, Lucia Flinker, Adeen Sarac, Cansu Fang, May Doyle, Werner Tcheng, Thomas Devinsky, Orrin Davachi, Lila Liu, Anli |
author_sort | Henin, Simon |
collection | PubMed |
description | Direct recordings from the human brain have historically involved epilepsy patients undergoing invasive electroencephalography (iEEG) for surgery. However, these measurements are temporally limited and affected by clinical variables. The RNS System (NeuroPace, Inc.) is a chronic, closed-loop electrographic seizure detection and stimulation system. When adapted by investigators for research, it facilitates cognitive testing in a controlled ambulatory setting, with measurements collected over months to years. We utilized an associative learning paradigm in 5 patients with traditional iEEG and 3 patients with chronic iEEG, and found increased hippocampal gamma (60–100 Hz) sustained at 1.3–1.5 seconds during encoding in successful versus failed trials in surgical patients, with similar results in our RNS System patients (1.4–1.6 seconds). Our findings replicate other studies demonstrating that sustained hippocampal gamma supports encoding. Importantly, we have validated the RNS System to make sensitive measurements of hippocampal dynamics during cognitive tasks in a chronic ambulatory research setting. |
format | Online Article Text |
id | pubmed-6345863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63458632019-01-29 Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG Henin, Simon Shankar, Anita Hasulak, Nicholas Friedman, Daniel Dugan, Patricia Melloni, Lucia Flinker, Adeen Sarac, Cansu Fang, May Doyle, Werner Tcheng, Thomas Devinsky, Orrin Davachi, Lila Liu, Anli Sci Rep Article Direct recordings from the human brain have historically involved epilepsy patients undergoing invasive electroencephalography (iEEG) for surgery. However, these measurements are temporally limited and affected by clinical variables. The RNS System (NeuroPace, Inc.) is a chronic, closed-loop electrographic seizure detection and stimulation system. When adapted by investigators for research, it facilitates cognitive testing in a controlled ambulatory setting, with measurements collected over months to years. We utilized an associative learning paradigm in 5 patients with traditional iEEG and 3 patients with chronic iEEG, and found increased hippocampal gamma (60–100 Hz) sustained at 1.3–1.5 seconds during encoding in successful versus failed trials in surgical patients, with similar results in our RNS System patients (1.4–1.6 seconds). Our findings replicate other studies demonstrating that sustained hippocampal gamma supports encoding. Importantly, we have validated the RNS System to make sensitive measurements of hippocampal dynamics during cognitive tasks in a chronic ambulatory research setting. Nature Publishing Group UK 2019-01-24 /pmc/articles/PMC6345863/ /pubmed/30679734 http://dx.doi.org/10.1038/s41598-018-37561-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Henin, Simon Shankar, Anita Hasulak, Nicholas Friedman, Daniel Dugan, Patricia Melloni, Lucia Flinker, Adeen Sarac, Cansu Fang, May Doyle, Werner Tcheng, Thomas Devinsky, Orrin Davachi, Lila Liu, Anli Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title | Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title_full | Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title_fullStr | Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title_full_unstemmed | Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title_short | Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG |
title_sort | hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial eeg |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6345863/ https://www.ncbi.nlm.nih.gov/pubmed/30679734 http://dx.doi.org/10.1038/s41598-018-37561-z |
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