Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations.
Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations.
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DOI：
10.3389/fnins.2014.00422
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发表时间：
2014
影响因子：
4.3
通讯作者：
Belin P
中科院分区：
文献类型：
--
作者：
Salvia E;Bestelmeyer PE;Kotz SA;Rousselet GA;Pernet CR;Gross J;Belin P
脑磁图（MEG）被用来检查大脑反应的情感性非语言发声（ANVs）在单个主题的水平。刺激包括非语言的影响突发蒙特利尔情感的声音变形参数变化的声学结构和感知的情感属性。头皮磁场被记录在三个参与者，而他们进行了3个选择强迫选择情绪分类任务（愤怒，恐惧，快乐）。每个参与者进行了超过6000次试验，以允许使用新的工具箱进行单一受试者水平的统计分析，该工具箱实现了刺激特异性反应（LIMO-EEG）的一般线性模型（GLM）。对于每个参与者，我们估计了“简单”模型[仅包括一个情感回归（唤醒或效价）]以及“组合”模型（包括声学回归）。来自“简单”模型的结果显示，在每个参与者中，效价和唤醒的显著早期效应（早在发病后约100 ms）已经在先前的工作中在组水平上报告过。然而，“组合”模型表明，在去除声学解释的方差后，唤醒的影响很少，而效价的显著影响仍然存在，特别是在后期阶段。本研究证明：（i）单个受试者分析复制了组水平研究早期观察到的结果;（ii）基于GLM的MEG数据分析的可行性。这也表明，早期调制的MEG振幅的情感刺激部分反映了他们的声学特性。
Magneto-encephalography (MEG) was used to examine the cerebral response to affective non-verbal vocalizations (ANVs) at the single-subject level. Stimuli consisted of non-verbal affect bursts from the Montreal Affective Voices morphed to parametrically vary acoustical structure and perceived emotional properties. Scalp magnetic fields were recorded in three participants while they performed a 3-alternative forced choice emotion categorization task (Anger, Fear, Pleasure). Each participant performed more than 6000 trials to allow single-subject level statistical analyses using a new toolbox which implements the general linear model (GLM) on stimulus-specific responses (LIMO-EEG). For each participant we estimated “simple” models [including just one affective regressor (Arousal or Valence)] as well as “combined” models (including acoustical regressors). Results from the “simple” models revealed in every participant the significant early effects (as early as ~100 ms after onset) of Valence and Arousal already reported at the group-level in previous work. However, the “combined” models showed that few effects of Arousal remained after removing the acoustically-explained variance, whereas significant effects of Valence remained especially at late stages. This study demonstrates (i) that single-subject analyses replicate the results observed at early stages by group-level studies and (ii) the feasibility of GLM-based analysis of MEG data. It also suggests that early modulation of MEG amplitude by affective stimuli partly reflects their acoustical properties.
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