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High-gamma and beta bursts in the Left Supramarginal Gyrus can accurately differentiate verbal memory states and performance.
Sawczuk, Nicolás; Rubinstein, Daniel Y; Sperling, Michael R; Wendel-Mitoraj, Katrina; Djuric, Petar; Slezak, Diego F; Kamienkowski, Juan; Weiss, Shennan A.
Afiliación
  • Sawczuk N; Department of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
  • Rubinstein DY; Department of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
  • Sperling MR; Department of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
  • Wendel-Mitoraj K; Soenia by Braincare Oy, Tampere, Finland.
  • Djuric P; Dept. of Electrical & Computer Engineering, Stony Brook, New York, 11794 USA.
  • Slezak DF; Department of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
  • Kamienkowski J; Department of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
  • Weiss SA; Department of Neurology, Stony Brook University, Stony Brook, New York, 11790 USA.
medRxiv ; 2024 Jun 28.
Article en En | MEDLINE | ID: mdl-38853875
ABSTRACT
The left supramarginal gyrus (LSMG) may mediate attention to memory, and gauge memory state and performance. We performed a secondary analysis of 142 verbal delayed free recall experiments, in patients with medically-refractory epilepsy with electrode contacts implanted in the LSMG. In 14 of 142 experiments (in 14 of 113 patients), the cross-validated convolutional neural networks (CNNs) that used 1-dimensional(1-D) pairs of convolved high-gamma and beta tensors, derived from the LSMG recordings, could label recalled words with an area under the receiver operating curve (AUROC) of greater than 60% [range 60-90%]. These 14 patients were distinguished by 1) higher amplitudes of high-gamma bursts; 2) distinct electrode placement within the LSMG; and 3) superior performance compared with a CNN that used a 1-D tensor of the broadband recordings in the LSMG. In a pilot study of 7 of these patients, we also cross-validated CNNs using paired 1-D convolved high-gamma and beta tensors, from the LSMG, to a) distinguish word encoding epochs from free recall epochs [AUC 0.6-1]; and distinguish better performance from poor performance during delayed free recall [AUC 0.5-0.86]. These experiments show that bursts of high-gamma and beta generated in the LSMG are biomarkers of verbal memory state and performance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article País de afiliación: Argentina

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article País de afiliación: Argentina