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High-gamma and beta bursts in the Left Supramarginal Gyrus can accurately differentiate verbal memory states and performance. | LitMetric

AI Article Synopsis

  • The left supramarginal gyrus (LSMG) is linked to attention and memory, as shown in a study analyzing 142 verbal recall experiments in epilepsy patients with LSMG electrode implants.
  • A specific subset of 14 patients had notable results when using convolutional neural networks (CNNs) to identify recalled words, achieving an area under the receiver operating curve (AUROC) between 60-90%.
  • The findings suggest that high-gamma and beta bursts in the LSMG could serve as indicators of verbal memory performance and state, based on distinct neural activity patterns and electrode placements.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11160814PMC
http://dx.doi.org/10.1101/2024.05.29.24308117DOI Listing

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