Visual distance cues modulate neuromagnetic auditory N1m responses.
Visual distance cues modulate neuromagnetic auditory N1m responses.
复制标题
视觉距离线索调节神经磁听觉 N1m 反应。
DOI：
10.1016/j.clinph.2012.04.004
复制
发表时间：
2012
影响因子：
4.7
通讯作者：
Fukuyama H
中科院分区：
文献类型：
--
作者：
Altmann CF;Matsuhashi M;Votinov M;Goto K;Mima T;Fukuyama H
听觉距离判断依赖于几个声学线索，并可以由视觉信息调制。声音强度就是这样一种提示，因为它随着距离的增加而降低。在这个脑磁图（MEG）的实验中，我们测试是否N1 M MEG的反应，以前描述的规模与声音强度，调制的视觉距离cues. METHODS我们记录的行为和MEG数据从15个健康的正常听力参与者。不同声压级的噪声突发与不同距离的同步视觉线索配对。我们假设，噪声配对与远视觉线索将表示更响亮，并导致增加N1 m振幅相比，配对与近视觉线索。这可能是基于视觉诱导距离的补偿时，处理loudensity. TSPsychopathologically，我们没有观察到显着调制的响度判断的视觉线索。然而，在刺激开始后约100 ms的N1 m MEG反应与远侧相比，在左侧听觉皮层中的近侧视觉线索显著更强。可能与听觉距离处理的线索整合有关。显著声距离处理可以证明自己是一个有前途的模型系统，用于研究内-模态和跨模态集成原则。
OBJECTIVEAuditory distance judgment relies on several acoustic cues and can be modulated by visual information. Sound intensity serves as one such cue as it decreases with increasing distance. In this magnetoencephalography (MEG) experiment, we tested whether N1m MEG responses, previously described to scale with sound intensity, are modulated by visual distance cues.METHODSWe recorded behavioral and MEG data from 15 healthy normal hearing participants. Noise bursts at different sound pressure levels were paired with synchronous visual cues at different distances. We hypothesized that noise paired with far visual cues will be represented louder and result in increased N1m amplitudes compared to a pairing with close visual cues. This might be based on a compensation of visually induced distance when processing loudness.RESULTSPsychophysically, we observed no significant modulation of loudness judgments by visual cues. However, N1m MEG responses at about 100ms after stimulus onset were significantly stronger with distal compared to proximal visual cues in the left auditory cortex.CONCLUSIONSOur results suggest an audio–visual interaction at an early stage in the left auditory cortex, possibly related to cue integration for auditory distance processing.SIGNIFICANCESound distance processing could prove itself as a promising model system for the investigation of intra-modal and cross-modal integration principles.