Amygdala and cortical gamma band responses to emotional faces depend on the attended to valence
The amygdala is assumed to contribute to a bottom-up attentional bias during visual processing of emotional faces. Still, how its response to emotion interacts with top-down attention is not fully understood. It is also unclear if amygdala activity and scalp EEG respond to emotion and attention in a similar way. Therefore, we studied the interaction of emotion and attention during face processing in oscillatory gamma-band activity (GBA) in the amygdala and on the scalp. Amygdala signals were recorded via intracranial EEG (iEEG) in 10 patients with epilepsy. Scalp recordings were collected from 19 healthy participants. Three randomized blocks of angry, neutral, and happy faces were presented, and either negative, neutral, or positive expressions were denoted as targets. Both groups detected happy faces fastest and most accurately. During attention to negative faces, low GBA (< 90 Hz) increased specifically for angry faces both in the amygdala and over posterior scalp regions, albeit earlier on the scalp (60 ms) than in the amygdala (130 ms). From 220 ms, amygdala high GBA (117.5-145 Hz) was additionally persistently increased for both angry and neutral compared to happy faces. When neutral faces served as targets, amygdala high GBA (105-122.5 Hz) was higher for emotional than neutral faces from 160-320 ms. Attention to positive faces did not result in a differentiation between facial expressions. Present data reveal that attention-independent emotion detection in amygdala high GBA may only occur during a neutral focus of attention. Top-down threat vigilance coordinates widespread GBA, biasing stimulus processing in favor of negative faces. These results are in line with a multi-pathway model of emotion processing and help specify the role of GBA in this process by revealing how attentional focus can tune timing and amplitude of emotional GBA responses.
Code (0)
등록된 구현이 없습니다.
Tasks
EEGSimilar Papers 제목 키워드 기반
Gamma band oscillations reflect sensory and affective dimensions of pain
Pain is a multidimensional process, which can be modulated by emotions, however, the mechanisms underlying this modulation are unknown. We used pictures with different emotional valence (negative, positive, neutral) as p…
EEGElectroencephalogram (EEG)Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band
The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting s…
An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognition
Our ability to rapidly detect threats is thought to be subserved by a subcortical pathway that quickly conveys visual information to the amygdala. This neural shortcut has been demonstrated in animals but has rarely been…
Face RecognitionMusic Enhances Activity in the Hypothalamus, Brainstem, and Anterior Cerebellum during Script-Driven Imagery of Affective Scenes
Music is frequently used to establish atmosphere and to enhance/alter emotion in dramas and films. During music listening, visual imagery is a common mechanism underlying emotion induction. The present functional magneti…
HippocampusGraph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI
Functional MRI (fMRI) research, employing naturalistic stimuli like movies, explores brain network interactions in complex cognitive processes such as empathy. The empathy network encompasses multiple brain areas, includ…
ClusteringGraph ClusteringGraph Learning