Literature DB >> 27262422

Combination of sLORETA and Nonlinear Coupling for Emotional EEG Source Localization.

Ateke Goshvarpour1, Ataollah Abbasi1, Atefeh Goshvarpour1.   

Abstract

The objective of the present study is to investigate the anatomical distribution of the cortical sources of emotional response to music videos by means of electroencephalogram (EEG) analysis. A novel methodology is introduced to determine the nonlinear couplings between different brain regions based on the coherence analysis, nonlinear features of EEG recordings and a source localization method, standard low resolution electromagnetic tomography (sLORETA). 32 channels of EEG time series of 32 subjects available in DEAP database were studied. The Lyapunov exponents and approximate entropy were applied to the EEG. The coherence for Lyapunov exponents and approximate entropy were calculated between each electrode paired to all other electrodes. Considering valence and arousal related effects, the sLORETA was applied to each above mentioned feature to determine emotional processing cortices. Using the proposed methodology, significant differences in sLORETA activity are observed between different emotional states. These changes were dominantly localized in the Brodmann 11 area (frontal lobe). In addition, some evidences provided that the left hemisphere is more activated to valence and arousal-related effects. Results suggest that considering two dimensions of emotions concurrently, a wider brain region was dominated in synchronization: superior frontal gyrus, middle frontal gyrus, and superior parietal lobule. Cooperating nonlinear coupling along with EEG source localization methods could provide an interesting tool for understanding the cortical specialization in emotional processes.

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Mesh:

Year:  2016        PMID: 27262422

Source DB:  PubMed          Journal:  Nonlinear Dynamics Psychol Life Sci        ISSN: 1090-0578


  2 in total

1.  EEG spectral powers and source localization in depressing, sad, and fun music videos focusing on gender differences.

Authors:  Atefeh Goshvarpour; Ateke Goshvarpour
Journal:  Cogn Neurodyn       Date:  2018-12-14       Impact factor: 5.082

2.  Innovative Poincare's plot asymmetry descriptors for EEG emotion recognition.

Authors:  Atefeh Goshvarpour; Ateke Goshvarpour
Journal:  Cogn Neurodyn       Date:  2021-10-26       Impact factor: 3.473

  2 in total

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