Sawczuk Nicolás, Rubinstein Daniel Y, Sperling Michael R, Wendel-Mitoraj Katrina, Djuric Petar, Slezak Diego F, Kamienkowski Juan, Weiss Shennan A
Department of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
Department of Neurology and Neuroscience, Thomas Jefferson University, Philadelphia, PA 19107, USA.
medRxiv. 2024 Jun 28:2024.05.29.24308117. doi: 10.1101/2024.05.29.24308117.
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.
左缘上回(LSMG)可能介导对记忆的注意力,并评估记忆状态和表现。我们对142项言语延迟自由回忆实验进行了二次分析,这些实验的对象是患有药物难治性癫痫且电极触点植入LSMG的患者。在142项实验中的14项(113名患者中的14名)中,使用从LSMG记录中得出的一维(1-D)卷积高伽马和贝塔张量对的交叉验证卷积神经网络(CNN),能够以大于60%的受试者工作特征曲线下面积(AUROC)[范围:60 - 90%]标记回忆出的单词。这14名患者的特征在于:1)高伽马爆发的幅度更高;2)在LSMG内的电极放置位置不同;3)与使用LSMG宽带记录的一维张量的CNN相比,表现更优。在对其中7名患者的一项初步研究中,我们还使用来自LSMG的成对一维卷积高伽马和贝塔张量对CNN进行交叉验证,以:a)区分单词编码阶段和自由回忆阶段[AUC 0.6 - 1];以及区分延迟自由回忆期间的较好表现和较差表现[AUC 0.5 - 0.86]。这些实验表明,LSMG中产生的高伽马和贝塔爆发是言语记忆状态和表现的生物标志物。