Phenotyping ex-combatants from EEG scalp connectivity
Quintero-Zea, Andrés and López, José D. and Smith, Keith and Trujillo, Natalia and Parra, Mario A. and Escudero, Javier (2018) Phenotyping ex-combatants from EEG scalp connectivity. IEEE Access, 6. pp. 55090-55098. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2018.2872765)
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Abstract
Being involved in war experiences may have severe consequences in mental health. This exposure has been associated in Colombian ex-combatants with risk of proactive aggression modulating emotional processing. However, the extent of the cognitive processes underlying aggressive behavior is still an open issue. In this work, we propose a SVM-based processing pipeline to identify different cognitive phenotypes associated with atypical emotional processing, based on canonical correlation analysis of EEG network features, and cognitive and behavioral evaluations. Results show the existence of cognitive phenotypes associated with differences in the mean value of leaf fraction and diameter of EEG networks across groups. The ability of identifying phenotypes in these otherwise healthy subjects opens up the possibility to aid in the development of specific interventions aimed to reduce expression of proactive aggression in ex-combatants and assessing the efficacy of such interventions.
ORCID iDs
Quintero-Zea, Andrés, López, José D., Smith, Keith ORCID: https://orcid.org/0000-0002-4615-9020, Trujillo, Natalia, Parra, Mario A. ORCID: https://orcid.org/0000-0002-2412-648X and Escudero, Javier;-
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Item type: Article ID code: 65664 Dates: DateEvent14 September 2018Published14 September 2018Published Online8 August 2018AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Medicine > Internal medicine > Neuroscience. Biological psychiatry. NeuropsychiatryDepartment: Faculty of Science > Computer and Information Sciences
Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > PsychologyDepositing user: Pure Administrator Date deposited: 04 Oct 2018 03:38 Last modified: 11 Nov 2024 12:07 URI: https://strathprints.strath.ac.uk/id/eprint/65664