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由时间不对称声音引起的皮层激活模式及其学习调节。

Cortical Activation Patterns Evoked by Temporally Asymmetric Sounds and Their Modulation by Learning.

机构信息

Department of Computer Science and Engineering Graduate School of Engineering, Toyohashi University of Technology, Hibarigaoka 1-1, Tempaku, Toyohashi, Aichi 441-8580, Japan.

Cognitive Neurobiology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan.

出版信息

eNeuro. 2017 Apr 21;4(2). doi: 10.1523/ENEURO.0241-16.2017. eCollection 2017 Mar-Apr.

DOI:10.1523/ENEURO.0241-16.2017
PMID:28451640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5399754/
Abstract

When complex sounds are reversed in time, the original and reversed versions are perceived differently in spectral and temporal dimensions despite their identical duration and long-term spectrum-power profiles. Spatiotemporal activation patterns evoked by temporally asymmetric sound pairs demonstrate how the temporal envelope determines the readout of the spectrum. We examined the patterns of activation evoked by a temporally asymmetric sound pair in the primary auditory field (AI) of anesthetized guinea pigs and determined how discrimination training modified these patterns. Optical imaging using a voltage-sensitive dye revealed that a forward ramped-down natural sound (F) consistently evoked much stronger responses than its time-reversed, ramped-up counterpart (revF). The spatiotemporal maximum peak () of F-evoked activation was always greater than that of revF-evoked activation, and these s were significantly separated within the AI. Although discrimination training did not affect the absolute magnitude of these s, the revF-to-F ratio of the activation peaks calculated at the location where hemispheres were maximally activated (i.e., F-evoked ) was significantly smaller in the trained group. The F-evoked activation propagated across the AI along the temporal axis to the ventroanterior belt field (VA), with the local activation peak within the VA being significantly larger in the trained than in the naïve group. These results suggest that the innate network is more responsive to natural sounds of ramped-down envelopes than their time-reversed, unnatural sounds. The VA belt field activation might play an important role in emotional learning of sounds through its connections with amygdala.

摘要

当复杂的声音在时间上反转时,尽管它们的持续时间和长期频谱功率谱相同,但原始版本和反转版本在频谱和时间维度上的感知是不同的。由时间不对称声音对引起的时空激活模式表明,时间包络如何决定频谱的读出。我们检查了麻醉豚鼠初级听觉场 (AI) 中由时间不对称声音对引起的激活模式,并确定了辨别训练如何改变这些模式。使用电压敏感染料的光学成像显示,正向下降的自然声音 (F) 始终比其时间反转的、上升的对应物 (revF) 引起更强的反应。F 诱发激活的时空最大峰值 () 始终大于 revF 诱发激活的峰值,并且这些峰值在 AI 内显著分离。尽管辨别训练并没有影响这些峰值的绝对幅度,但在半球最大激活的位置处计算的激活峰值的 revF 与 F 的比率(即 F 诱发的)在训练组中明显较小。F 诱发的激活沿着时间轴在 AI 中传播到腹前带场 (VA),VA 内的局部激活峰值在训练组中明显大于在未训练组中。这些结果表明,固有网络对下降包络的自然声音的反应比其时间反转的、不自然的声音更为敏感。VA 带场激活可能通过与杏仁核的连接在声音的情感学习中发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/40bc0974d035/enu0021722930009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/4adccc90a26b/enu002172293r001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/62710fa36e95/enu0021722930001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/2e8cd9457e6a/enu0021722930002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/686f1f298742/enu0021722930003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/0dccf9b55bff/enu0021722930004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/b052b6def9fb/enu0021722930005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/ccb3589af82c/enu0021722930006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/87605aec3299/enu0021722930007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/06ade5f17d2e/enu0021722930008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/40bc0974d035/enu0021722930009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/4adccc90a26b/enu002172293r001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/62710fa36e95/enu0021722930001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/2e8cd9457e6a/enu0021722930002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/686f1f298742/enu0021722930003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/0dccf9b55bff/enu0021722930004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/b052b6def9fb/enu0021722930005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/ccb3589af82c/enu0021722930006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/87605aec3299/enu0021722930007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/06ade5f17d2e/enu0021722930008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9540/5399754/40bc0974d035/enu0021722930009.jpg

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