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Cognitive Neurodynamics

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24.01.2023 | Research Article

Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger

verfasst von: Serap Aydın, Lara Onbaşı

Erschienen in: Cognitive Neurodynamics | Ausgabe 1/2024

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Abstract

The present study tests the hypothesis that emotions of fear and anger are associated with distinct psychophysiological and neural circuitry according to discrete emotion model due to contrasting neurotransmitter activities, despite being included in the same affective group in many studies due to similar arousal-valance scores of them in emotion models. EEG data is downloaded from OpenNeuro platform with access number of ds002721. Brain connectivity estimations are obtained by using both functional and effective connectivity estimators in analysis of short (2 sec) and long (6 sec) EEG segments across the cortex. In tests, discrete emotions and resting-states are identified by frequency band specific brain network measures and then contrasting emotional states are deep classified with 5-fold cross-validated Long Short Term Memory Networks. Logistic regression modeling has also been examined to provide robust performance criteria. Commonly, the best results are obtained by using Partial Directed Coherence in Gamma (\(31.5-60.5~Hz\)) sub-bands of short EEG segments. In particular, Fear and Anger have been classified with accuracy of 91.79%. Thus, our hypothesis is supported by overall results. In conclusion, Anger is found to be characterized by increased transitivity and decreased local efficiency in addition to lower modularity in Gamma-band in comparison to fear. Local efficiency refers functional brain segregation originated from the ability of the brain to exchange information locally. Transitivity refer the overall probability for the brain having adjacent neural populations interconnected, thus revealing the existence of tightly connected cortical regions. Modularity quantifies how well the brain can be partitioned into functional cortical regions. In conclusion, PDC is proposed to graph theoretical analysis of short EEG epochs in presenting robust emotional indicators sensitive to perception of affective sounds.

Vorheriger Artikel Gamma-band-based dynamic functional connectivity in pigeon entopallium during sample presentation in a delayed color matching task

Nächster Artikel An evaluation of inter-brain EEG coupling methods in hyperscanning studies

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Titel: Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger
verfasst von: Serap Aydın
Lara Onbaşı
Publikationsdatum: 24.01.2023
Verlag: Springer Netherlands
Erschienen in: Cognitive Neurodynamics / Ausgabe 1/2024
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI: https://doi.org/10.1007/s11571-023-09931-5

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