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首页> 美国卫生研究院文献>Frontiers in Neuroscience >Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations
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Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations

机译：脑磁图诱发对情感性非言语发声的声学特性的单项分析

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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.
机译：磁脑描记法（MEG）用于检查单受试者水平上对情感性非语言发声（ANV）的大脑反应。刺激包括来自蒙特利尔情感之声的非语言情感爆发，其变形为参数地改变声学结构和感知的情感特性。在三名参与者执行一项3种强制选择的情感分类任务（愤怒，恐惧，快乐）时，他们记录了头皮磁场。每个参与者进行了6000多次试验，以便使用一个新工具箱进行单对象水平的统计分析，该工具箱可对刺激特异性反应（LIMO-EEG）实施通用线性模型（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变量（Arousal或价数））以及“组合”模型（包括声学回归变量）。在每个参与者中，“简单”模型的结果都表明，先前研究的小组水平已经报告了价效价和兴奋剂的显着早期效应（最早在发病后约100毫秒后）。但是，“组合”模型显示，消除声学解释的方差后，剩余的Arousal效应很少，而价态的显着效应仍然保持，尤其是在后期。这项研究表明（i）单项分析可复制小组级研究在早期阶段观察到的结果，以及（ii）基于GLM的MEG数据分析的可行性。这也表明，情感刺激对MEG振幅的早期调制部分反映了其声学特性。

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