Resting‐state connectivity and network parameter analysis in alcohol‐dependent males. A simultaneous EEG‐MEG study-Reference-Cited by-同舟云学术

Resting‐state connectivity and network parameter analysis in alcohol‐dependent males. A simultaneous EEG‐MEG study

Published:2020-06-25 Issue:10 Volume:98 Page:1857-1876
ISSN:0360-4012
Container-title:Journal of Neuroscience Research
language:en
Short-container-title:J Neurosci Res

Author:

Sion Ana¹^ORCID,Bruña Fernández Ricardo²³⁴^ORCID,Martínez Maldonado Andrés¹^ORCID,Domínguez Centeno Isabel¹⁵^ORCID,Torrado‐Carvajal Angel⁶⁷^ORCID,Rubio Gabriel¹⁸⁹¹⁰^ORCID,Pereda Ernesto²¹¹^ORCID,Jurado‐Barba Rosa¹⁵^ORCID

Affiliation:

1. 12 de Octubre Biomedical Research Institute Madrid Spain

2. Laboratory of Cognitive and Computational Neuroscience Center for Biomedical Technology (CTB) Madrid Spain

3. Department of Experimental Psychology Universidad Complutense de Madrid Madrid Spain

4. Networking Research Center on Bioengineering Biomaterials and Nanomedicine (CIBER‐BBN) Madrid Spain

5. Psychology Department, Health Science Faculty Camilo José Cela University Madrid Spain

6. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital and Harvard Medical School Boston MA USA

7. Medical Image Analysis and Biometry Laboratory Universidad Rey Juan Carlos Madrid Spain

8. 12 de Octubre Hospital Madrid Spain

9. Medicine Faculty Complutense de Madrid University Madrid Spain

10. Addictive Disorders Network (Red de Trastornos adictivos, RETIS) Carlos III Institute Madrid Spain

11. Department of Industrial Engineering & IUNE Universidad de la Laguna San Cristóbal de La Laguna Spain

Funder

Ministerio de Educación, Cultura y Deporte

Instituto de Salud Carlos III

Real Colegio Complutense

Ministerio de Economía y Competitividad

Publisher

Wiley

Subject

Cellular and Molecular Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jnr.24673

Reference98 articles.

1. Functional community analysis of brain: A new approach for EEG-based investigation of the brain pathology

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3. Unified segmentation

4. Predicting Relapse to Alcohol and Drug Abuse via Quantitative Electroencephalography

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