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The Noisy Brain: Power of Resting-State Fluctuations Predicts Individual Recognition Performance.
Grossman, Shany; Yeagle, Erin M; Harel, Michal; Espinal, Elizabeth; Harpaz, Roy; Noy, Niv; Mégevand, Pierre; Groppe, David M; Mehta, Ashesh D; Malach, Rafael.
  • Grossman S; Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel; The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Yeagle EM; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and Feinstein Institute for Medical Research, Manhasset, NY 11030, USA.
  • Harel M; Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel; The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Espinal E; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and Feinstein Institute for Medical Research, Manhasset, NY 11030, USA.
  • Harpaz R; Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel; The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
  • Noy N; Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel; The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Mégevand P; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and Feinstein Institute for Medical Research, Manhasset, NY 11030, USA; Neurology Division, Clinical Neuroscience Department, Geneva University Hospital and Faculty of Medicine, Geneva 1205, Switzerland.
  • Groppe DM; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and Feinstein Institute for Medical Research, Manhasset, NY 11030, USA; The Krembil Neuroscience Centre, Toronto, ON M5T 2S8, Canada.
  • Mehta AD; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and Feinstein Institute for Medical Research, Manhasset, NY 11030, USA.
  • Malach R; Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel; The Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot 76100, Israel. Electronic address: rafi.malach@gmail.com.
Cell Rep ; 29(12): 3775-3784.e4, 2019 12 17.
Article en En | MEDLINE | ID: mdl-31851911
ABSTRACT
The unique profile of strong and weak cognitive traits characterizing each individual is of a fundamental significance, yet their neurophysiological underpinnings remain elusive. Here, we present intracranial electroencephalogram (iEEG) measurements in humans pointing to resting-state cortical "noise" as a possible neurophysiological trait that limits visual recognition capacity. We show that amplitudes of slow (<1 Hz) spontaneous fluctuations in high-frequency power measured during rest were predictive of the patients' performance in a visual recognition 1-back task (26 patients, total of 1,389 bipolar contacts pairs). Importantly, the effect was selective only to task-related cortical sites. The prediction was significant even across long (mean distance 4.6 ± 2.8 days) lags. These findings highlight the level of the individuals' internal "noise" as a trait that limits performance in externally oriented demanding tasks.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Descanso / Análisis y Desempeño de Tareas / Encéfalo / Mapeo Encefálico / Reconocimiento en Psicología Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Descanso / Análisis y Desempeño de Tareas / Encéfalo / Mapeo Encefálico / Reconocimiento en Psicología Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans Idioma: En Año: 2019 Tipo del documento: Article