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    Home > Biochemistry News > Biotechnology News > Application of HD-EEG to study emotion regulation strategies differentially modulating neural activity in emotion prediction stage

    Application of HD-EEG to study emotion regulation strategies differentially modulating neural activity in emotion prediction stage

    • Last Update: 2022-08-30
    • Source: Internet
    • Author: User
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    Essay topic:

    Chinese translation: Emotion regulation strategies differentially modulate neural activity during the emotion prediction stage: an HD-EEG study

    Journal: Frontiers in Behavioral Neuroscience

    Published: August 2022

    Publishing URL: https://doi.


    Summary:

    Emotion regulation (ER) strategies can influence how the brain constructs emotion predictions (generating phase) to pre-order actions (implementation phase), and update internal models (update phase) based on incoming stimuli


    Materials and methods

    Experimental subjects: 36 right-handed subjects (16 males, age: M = 23.


    Experimental task: This task includes a computerized S1-S2 passive viewing paradigm (described in Del Popolo Cristaldi et al.


     

    Experimental procedure:

    Subjects were seated in a dimly lit room, 90 cm (24 inches, 1,280 × 1,024 pixel resolution) from a computer screen


    Schematic diagram of the experimental procedure


    EEG recording and preprocessing

    The EEG data analyzed in this study came from our previous study (Del Popolo Cristaldi et al.


    Outcome


    Table 1 The analysis of variance table of the model in the prediction generation stage

    Forecast implementation stage

    Models for CNV, l-ACC, l-SMA and l-dPCC activities are summarized in Table 2, Figure 2 and Supplementary Table 3


    Table 2 Analysis of variance of the model in the forecast implementation stage

    Forecast update phase

    Models for P2, l-TPJ, r-TPJ, LPP, r-OFC and r-TP activities are summarized in Table 3, Fig.


    Table 3 ANOVA model for prediction update stage

    Data Availability Statement

    This study analyzes publicly available datasets in the Figshare repository



     

    Reference:


    The above part of the content refers to the above literature.


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