Costa Tommaso, Cauda Franco, Crini Manuella, Tatu Mona-Karina, Celeghin Alessia, de Gelder Beatrice, Tamietto Marco
CCS fMRI, Kolliker Hospital, C.so G. Ferraris 247, 10134 Torino, Italy, Department of Psychology, University of Torino, via Po 14, 10123 Torino, Italy, Depatment of Neurological and Movement Sciences, University of Verona, strada Le Grazie 8, 37143 Verona, Italy, Cognitive and Affective Neuroscience Laboratory, and CoRPS-Center of Research on Psychology in Somatic Diseases-Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands, and Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands CCS fMRI, Kolliker Hospital, C.so G. Ferraris 247, 10134 Torino, Italy, Department of Psychology, University of Torino, via Po 14, 10123 Torino, Italy, Depatment of Neurological and Movement Sciences, University of Verona, strada Le Grazie 8, 37143 Verona, Italy, Cognitive and Affective Neuroscience Laboratory, and CoRPS-Center of Research on Psychology in Somatic Diseases-Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands, and Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
CCS fMRI, Kolliker Hospital, C.so G. Ferraris 247, 10134 Torino, Italy, Department of Psychology, University of Torino, via Po 14, 10123 Torino, Italy, Depatment of Neurological and Movement Sciences, University of Verona, strada Le Grazie 8, 37143 Verona, Italy, Cognitive and Affective Neuroscience Laboratory, and CoRPS-Center of Research on Psychology in Somatic Diseases-Tilburg University, PO Box 90153, 5000 LE Tilburg, The Netherlands, and Department of Cognitive Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV Maastricht, The Netherlands.
Soc Cogn Affect Neurosci. 2014 Nov;9(11):1690-703. doi: 10.1093/scan/nst164. Epub 2013 Nov 7.
The different temporal dynamics of emotions are critical to understand their evolutionary role in the regulation of interactions with the surrounding environment. Here, we investigated the temporal dynamics underlying the perception of four basic emotions from complex scenes varying in valence and arousal (fear, disgust, happiness and sadness) with the millisecond time resolution of Electroencephalography (EEG). Event-related potentials were computed and each emotion showed a specific temporal profile, as revealed by distinct time segments of significant differences from the neutral scenes. Fear perception elicited significant activity at the earliest time segments, followed by disgust, happiness and sadness. Moreover, fear, disgust and happiness were characterized by two time segments of significant activity, whereas sadness showed only one long-latency time segment of activity. Multidimensional scaling was used to assess the correspondence between neural temporal dynamics and the subjective experience elicited by the four emotions in a subsequent behavioral task. We found a high coherence between these two classes of data, indicating that psychological categories defining emotions have a close correspondence at the brain level in terms of neural temporal dynamics. Finally, we localized the brain regions of time-dependent activity for each emotion and time segment with the low-resolution brain electromagnetic tomography. Fear and disgust showed widely distributed activations, predominantly in the right hemisphere. Happiness activated a number of areas mostly in the left hemisphere, whereas sadness showed a limited number of active areas at late latency. The present findings indicate that the neural signature of basic emotions can emerge as the byproduct of dynamic spatiotemporal brain networks as investigated with millisecond-range resolution, rather than in time-independent areas involved uniquely in the processing one specific emotion.
情绪的不同时间动态对于理解其在调节与周围环境互动中的进化作用至关重要。在此,我们利用脑电图(EEG)的毫秒级时间分辨率,研究了从效价和唤醒度各异的复杂场景中感知四种基本情绪(恐惧、厌恶、快乐和悲伤)背后的时间动态。计算了事件相关电位,每种情绪都呈现出特定的时间特征,这通过与中性场景存在显著差异的不同时间段得以揭示。恐惧感知在最早的时间段引发了显著活动,随后依次是厌恶、快乐和悲伤。此外,恐惧、厌恶和快乐以两个显著活动时间段为特征,而悲伤仅表现出一个长潜伏期的活动时间段。多维缩放用于评估神经时间动态与后续行为任务中四种情绪引发的主观体验之间的对应关系。我们发现这两类数据之间具有高度一致性,表明在神经时间动态方面,定义情绪的心理类别在大脑层面具有密切对应关系。最后,我们使用低分辨率脑电磁断层扫描技术定位了每种情绪和时间段的时间依赖性活动的脑区。恐惧和厌恶表现出广泛分布的激活,主要在右半球。快乐激活了多个主要位于左半球的区域,而悲伤在晚期潜伏期表现出有限数量的活跃区域。目前的研究结果表明,基本情绪的神经特征可能是动态时空脑网络的副产品,这是通过毫秒级分辨率进行研究得出的,而不是出现在仅专门参与处理一种特定情绪的与时间无关的区域。