Analysis of stimulus-related activity in rat auditory cortex using complex spectral coefficients.

Analysis of stimulus-related activity in rat auditory cortex using complex spectral coefficients.
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DOI:
10.1152/jn.00187.2013
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发表时间:
2013-08
影响因子:
2.5
通讯作者:
Bryan M. Krause;M. Banks
Bryan M. Krause;M. Banks
中科院分区:
医学3区
文献类型:
--
作者:
Bryan M. Krause;M. Banks

文献摘要

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从头皮或皮层表面记录的感觉反应的神经机制仍然存在争议。诱发的与诱导的响应分量(即,平均值与方差的变化)与自下而上与自上而下的处理有关,但逐个试验的反应变异性可能混淆这种解释。持续振荡的相位重置也被假设有助于感觉反应。在这篇文章中,我们提出的证据表明,被动听力条件下的反应是由变量诱发反应成分为主。我们测量的平均值,方差和相位的复杂的时间-频率系数的听觉记录的反应,以声刺激大鼠。在刺激过程中,平均值,方差和相位的变化往往共同发生。刺激后,平均值中存在小的低频偏移响应,而α频带中存在适度的、延长的去同步。模拟结果表明,试验的平均值的变化可以解释大部分的方差和相位变化观察到的刺激。这种变异性是依赖于状态的,在最大唤醒期间变异性最小。我们的数据表明,皮层对听觉刺激的反应反映了皮层网络的可变输入。这些分析表明,在解释自上而下的皮层处理的方差和相位变化时,应谨慎行事。
The neural mechanisms of sensory responses recorded from the scalp or cortical surface remain controversial. Evoked vs. induced response components (i.e., changes in mean vs. variance) are associated with bottom-up vs. top-down processing, but trial-by-trial response variability can confound this interpretation. Phase reset of ongoing oscillations has also been postulated to contribute to sensory responses. In this article, we present evidence that responses under passive listening conditions are dominated by variable evoked response components. We measured the mean, variance, and phase of complex time-frequency coefficients of epidurally recorded responses to acoustic stimuli in rats. During the stimulus, changes in mean, variance, and phase tended to co-occur. After the stimulus, there was a small, low-frequency offset response in the mean and modest, prolonged desynchronization in the alpha band. Simulations showed that trial-by-trial variability in the mean can account for most of the variance and phase changes observed during the stimulus. This variability was state dependent, with smallest variability during periods of greatest arousal. Our data suggest that cortical responses to auditory stimuli reflect variable inputs to the cortical network. These analyses suggest that caution should be exercised when interpreting variance and phase changes in terms of top-down cortical processing.