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The computational psychiatry of antisocial behaviour and psychopathy.
Pauli, Ruth; Lockwood, Patricia L.
Afiliação
  • Pauli R; Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK. Electronic address: r.pauli@bham.ac.uk.
  • Lockwood PL; Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK; Centre for Developmental Science, School of Psychology, University of Birmingham, Birmingham, UK. Electronic address: p.l.lockwood@bham.ac.uk.
Neurosci Biobehav Rev ; 145: 104995, 2023 02.
Article em En | MEDLINE | ID: mdl-36535376
ABSTRACT
Antisocial behaviours such as disobedience, lying, stealing, destruction of property, and aggression towards others are common to multiple disorders of childhood and adulthood, including conduct disorder, oppositional defiant disorder, psychopathy, and antisocial personality disorder. These disorders have a significant negative impact for individuals and for society, but whether they represent clinically different phenomena, or simply different approaches to diagnosing the same underlying psychopathology is highly debated. Computational psychiatry, with its dual focus on identifying different classes of disorder and health (data-driven) and latent cognitive and neurobiological mechanisms (theory-driven), is well placed to address these questions. The elucidation of mechanisms that might characterise latent processes across different disorders of antisocial behaviour can also provide important advances. In this review, we critically discuss the contribution of computational research to our understanding of various antisocial behaviour disorders, and highlight suggestions for how computational psychiatry can address important clinical and scientific questions about these disorders in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psiquiatria / Transtorno da Conduta Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psiquiatria / Transtorno da Conduta Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article