Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data-Reference-Cited by-同舟云学术

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Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data

Published:2022-05-26 Issue: Volume: Page:1-14
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Farahani Naemeh¹^ORCID,Ghahari Shabnam¹^ORCID,Fatemizadeh Emad²,Motie Nasrabadi Ali³^ORCID

Affiliation:

1. Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research BranchDepartment of Biomedical Engineering-Bioelectric, Tehran, Iran

2. Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran

3. Department of Biomedical Engineering, Engineering Faculty, Shahed University, Tehran, Iran

Funder

funding

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2077235

Reference54 articles.

1. Emotional intelligence is associated with reduced insula responses to masked angry faces

2. Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm

3. A Functional MRI Study of Happy and Sad Emotions in Music with and without Lyrics

4. Syntactic structure building in the anterior temporal lobe during natural story listening

5. Neural Correlates of Auditory–Visual Stimulus Onset Asynchrony Detection

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