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 / Invitto, Sara; Mignozzi, Arianna; Piraino, Giulia; Rocco, Gianbattista; De Feudis, Irio; Brunetti, Antonio; Bevilacqua, Vitoantonio. - 69:(2017), pp. 247-257. [10.1007/978-3-319-56904-8_24]

Artificial neural network analysis and ERP in intimate partner violence

Rocco, Gianbattista;Brunetti, Antonio;Bevilacqua, Vitoantonio
2017-01-01

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.
2017
Multidisciplinary Approaches to Neural Computing
978-3-319-56903-1
978-3-319-56904-8
Springer
Artificial neural network analysis and ERP in intimate partner violence / Invitto, Sara; Mignozzi, Arianna; Piraino, Giulia; Rocco, Gianbattista; De Feudis, Irio; Brunetti, Antonio; Bevilacqua, Vitoantonio. - 69:(2017), pp. 247-257. [10.1007/978-3-319-56904-8_24]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/117127
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact