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Learning increases human electroencephalographic coherence during subsequent slow sleep oscillations

机译:在随后的缓慢睡眠振荡期间,学习可增强人类脑电图的连贯性

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Learning is assumed to induce specific changes in neuronal activity during sleep that serve the consolidation of newly acquired memories. To specify such changes, we measured electroencephalographic (EEG) coherence during performance on a declarative learning task (word pair associations) and subsequent sleep. Compared with a nonlearning control condition, learning performance was accompanied with a strong increase in coherence in several EEG frequency bands. During subsequent non-rapid eye movement sleep, coherence only marginally increased in a global analysis of EEG recordings. However, a striking and robust increase in learning-dependent coherence was found when analyses were performed time-locked to the occurrence of slow oscillations (<1 Hz). Specifically, the surface-positive half-waves of the slow oscillation resulting from widespread cortical depolarization were associated with distinctly enhanced coherence after learning in the slow-oscillatory, delta, slow-spindle, and gamma bands. The findings identify the depolarizing phase of the slow oscillations in humans as a time period particularly relevant for a reprocessing of memories in sleep.
机译:假定学习可以在睡眠中诱发神经元活动的特定变化,从而有助于巩固新获得的记忆。为了说明这种变化,我们在陈述性学习任务(单词对关联)和随后的睡眠过程中测量了脑电图(EEG)的连贯性。与非学习控制条件相比,学习性能伴随着多个EEG频段的连贯性大大提高。在随后的非快速眼动睡眠中,对脑电图记录的整体分析仅使连贯性稍有增加。然而,当分析被锁定到慢振荡(<1 Hz)的发生时,发现了依赖于学习的连贯性的惊人而强劲的增长。具体而言,在缓慢振荡,三角波,慢主轴和伽玛谱带学习后,由广泛的皮层去极化引起的缓慢振荡的表面正半波与相干性显着相关。这些发现将人类缓慢振荡的去极化阶段确定为与睡眠记忆的再处理特别相关的时间段。

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