Details

Autor(en) / Beteiligte

• 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

Titel

Hippocampal gamma predicts associative memory performance as measured by acute and chronic intracranial EEG

Ist Teil von

• Scientific reports, 2019-01, Vol.9 (1), p.593-593, Article 593

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2019

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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.