The aim of this work is to analyze, through artificial neural network models, cortical pattern of women with Intimate Partner Violence (IPV) to investigate representative models of sensitization or habituation to the emotional stimulus in IPV. We investigate the ability of high emotional impact images, during a recognition task, analyzing the electroencephalogram data and event related potentials. Neural network analysis highlights an impairment in IPV group in cortical arousal, during the emotional recognition task. The alteration of this capacity has obvious repercussions on people’s lives, because it involves chronic difficulties in interpersonal relationships.

Artificial neural network analysis and ERP in intimate partner violence

Rocco, Gianbattista;Brunetti, Antonio;Bevilacqua, Vitoantonio
2017

Abstract

The aim of this work is to analyze, through artificial neural network models, cortical pattern of women with Intimate Partner Violence (IPV) to investigate representative models of sensitization or habituation to the emotional stimulus in IPV. We investigate the ability of high emotional impact images, during a recognition task, analyzing the electroencephalogram data and event related potentials. Neural network analysis highlights an impairment in IPV group in cortical arousal, during the emotional recognition task. The alteration of this capacity has obvious repercussions on people’s lives, because it involves chronic difficulties in interpersonal relationships.
Multidisciplinary Approaches to Neural Computing
978-3-319-56903-1
978-3-319-56904-8
Springer
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/117127
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