Cargando…

A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron

Borderline Personality Disorder is a serious mental disease, classified in Cluster B of DSM IV-TR personality disorders. People with this syndrome presents an anamnesis of traumatic experiences and shows dissociative symptoms. Since not all subjects who have been victims of trauma develop a Borderli...

Descripción completa

Detalles Bibliográficos
Autores principales: Maldonato, Nelson M., Sperandeo, Raffaele, Moretto, Enrico, Dell'Orco, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893824/
https://www.ncbi.nlm.nih.gov/pubmed/29670562
http://dx.doi.org/10.3389/fpsyg.2018.00447
_version_ 1783313385139470336
author Maldonato, Nelson M.
Sperandeo, Raffaele
Moretto, Enrico
Dell'Orco, Silvia
author_facet Maldonato, Nelson M.
Sperandeo, Raffaele
Moretto, Enrico
Dell'Orco, Silvia
author_sort Maldonato, Nelson M.
collection PubMed
description Borderline Personality Disorder is a serious mental disease, classified in Cluster B of DSM IV-TR personality disorders. People with this syndrome presents an anamnesis of traumatic experiences and shows dissociative symptoms. Since not all subjects who have been victims of trauma develop a Borderline Personality Disorder, the emergence of this serious disease seems to have the fragility of character as a predisposing condition. Infect, numerous studies show that subjects positive for diagnosis of Borderline Personality Disorder had scores extremely high or extremely low to some temperamental dimensions (harm Avoidance and reward dependence) and character dimensions (cooperativeness and self directedness). In a sample of 602 subjects, who have had consecutive access to an Outpatient Mental Health Service, it was evaluated the presence of Borderline Personality Disorder using the semi-structured interview for the DSM IV-TR personality disorders. In this population we assessed the presence of dissociative symptoms with the Dissociative Experiences Scale and the personality traits with the Temperament and Character Inventory developed by Cloninger. To assess the weight and the predictive value of these psychopathological dimensions in relation to the Borderline Personality Disorder diagnosis, a neural network statistical model called “multilayer perceptron,” was implemented. This model was developed with a dichotomous dependent variable, consisting in the presence or absence of the diagnosis of borderline personality disorder and with five covariates. The first one is the taxonomic subscale of dissociative experience scale, the others are temperamental and characterial traits: Novelty-Seeking, Harm-Avoidance, Self-Directedness and Cooperativeness. The statistical model, that results satisfactory, showed a significance capacity (89%) to predict the presence of borderline personality disorder. Furthermore, the dissociative symptoms seem to have a greater influence than the character traits in the borderline personality disorder e disease. In conclusion, the results seem to indicate that to borderline personality disorder development, contribute both psychic factors, such as temperament and character traits, and environmental factors, such as traumatic events capable of producing dissociative symptoms. These factors interact in a nonlinear way in producing maladaptive behaviors typical of this disorder.
format Online
Article
Text
id pubmed-5893824
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-58938242018-04-18 A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron Maldonato, Nelson M. Sperandeo, Raffaele Moretto, Enrico Dell'Orco, Silvia Front Psychol Psychology Borderline Personality Disorder is a serious mental disease, classified in Cluster B of DSM IV-TR personality disorders. People with this syndrome presents an anamnesis of traumatic experiences and shows dissociative symptoms. Since not all subjects who have been victims of trauma develop a Borderline Personality Disorder, the emergence of this serious disease seems to have the fragility of character as a predisposing condition. Infect, numerous studies show that subjects positive for diagnosis of Borderline Personality Disorder had scores extremely high or extremely low to some temperamental dimensions (harm Avoidance and reward dependence) and character dimensions (cooperativeness and self directedness). In a sample of 602 subjects, who have had consecutive access to an Outpatient Mental Health Service, it was evaluated the presence of Borderline Personality Disorder using the semi-structured interview for the DSM IV-TR personality disorders. In this population we assessed the presence of dissociative symptoms with the Dissociative Experiences Scale and the personality traits with the Temperament and Character Inventory developed by Cloninger. To assess the weight and the predictive value of these psychopathological dimensions in relation to the Borderline Personality Disorder diagnosis, a neural network statistical model called “multilayer perceptron,” was implemented. This model was developed with a dichotomous dependent variable, consisting in the presence or absence of the diagnosis of borderline personality disorder and with five covariates. The first one is the taxonomic subscale of dissociative experience scale, the others are temperamental and characterial traits: Novelty-Seeking, Harm-Avoidance, Self-Directedness and Cooperativeness. The statistical model, that results satisfactory, showed a significance capacity (89%) to predict the presence of borderline personality disorder. Furthermore, the dissociative symptoms seem to have a greater influence than the character traits in the borderline personality disorder e disease. In conclusion, the results seem to indicate that to borderline personality disorder development, contribute both psychic factors, such as temperament and character traits, and environmental factors, such as traumatic events capable of producing dissociative symptoms. These factors interact in a nonlinear way in producing maladaptive behaviors typical of this disorder. Frontiers Media S.A. 2018-04-04 /pmc/articles/PMC5893824/ /pubmed/29670562 http://dx.doi.org/10.3389/fpsyg.2018.00447 Text en Copyright © 2018 Maldonato, Sperandeo, Moretto and Dell'Orco. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Maldonato, Nelson M.
Sperandeo, Raffaele
Moretto, Enrico
Dell'Orco, Silvia
A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title_full A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title_fullStr A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title_full_unstemmed A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title_short A Non-linear Predictive Model of Borderline Personality Disorder Based on Multilayer Perceptron
title_sort non-linear predictive model of borderline personality disorder based on multilayer perceptron
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893824/
https://www.ncbi.nlm.nih.gov/pubmed/29670562
http://dx.doi.org/10.3389/fpsyg.2018.00447
work_keys_str_mv AT maldonatonelsonm anonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT sperandeoraffaele anonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT morettoenrico anonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT dellorcosilvia anonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT maldonatonelsonm nonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT sperandeoraffaele nonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT morettoenrico nonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron
AT dellorcosilvia nonlinearpredictivemodelofborderlinepersonalitydisorderbasedonmultilayerperceptron