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Methods Collections

Multi-modal approaches to study dynamic neural signals of emotion

Collection Overview

Emotions are tightly associated with human thoughts, feelings and behaviors in various ways. Abnormal emotion processing leads to excessive or insufficient reactions, and is often accompanied by mental disorders such as anxiety, depression, post-traumatic stress disorder (PTSD), and alcohol or drug abuse. Therefore, the study of the neural correlates of human emotion processing bear important implications for fully understanding the inner mechanisms of emotion, and may contribute to the diagnosis and treatment of emotion-related mental disorders. It remains a significant challenge to non-invasively capture the neural signals of emotion in vivo, which often vary temporally and change dramatically across contexts. It also becomes increasingly important to merge findings from different modalities and through diverse analyses approaches. In this collection, we present a variety of experimental studies and methodologies for the investigation of emotion-related dynamic brain responses. The multidimensional neural responses will be recorded through the most widely-used neuroimaging and neurophysiological techniques including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and magnetoencephalography (MEG).

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