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Antisocial personality disorder is a chronic mental health condition characterized by persistent patterns of disregard for the rights and well-being of others. Individuals with antisocial personality disorder exhibit behaviors that include deceitfulness, impulsivity, irresponsibility, aggression, and a profound lack of empathy. These traits often manifest early in life and persist into adulthood, leading to significant personal, social, and legal consequences.
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Biocognitive Classification of Antisocial Individuals Without Explanatory Reductionism.

Marko Jurjako1, Luca Malatesti1, Inti A Brazil2,3,4

  • 1Project Responding to Antisocial Personalities in a Democratic Society (RAD), Department of Philosophy, Faculty of Humanities and Social Sciences in Rijeka, University of Rijeka.

Perspectives on Psychological Science : a Journal of the Association for Psychological Science
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Summary

Developing new biocognitive classifications, inspired by the Research Domain Criteria (RDoC) approach, can improve treatments for antisocial personality disorders and psychopathy. These approaches integrate genetic, neural, and cognitive data, avoiding pitfalls of explanatory reductionism.

Keywords:
Research Domain Criteriaantisocial personality disorderbiocognitive classificationexplanatory reductionismpsychiatric nosologypsychopathy

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Area of Science:

  • Psychiatry and Psychology
  • Neuroscience
  • Genetics
  • Cognitive Science

Background:

  • Current treatments for antisocial personality disorders and psychopathy are limited due to classification challenges.
  • Syndrome-based classifications may not fully capture the complexity of these conditions.
  • There is a need for novel classification systems to guide therapeutic interventions.

Purpose of the Study:

  • To explore the potential of biocognitive classifications for antisocial individuals.
  • To evaluate the utility of the Research Domain Criteria (RDoC) approach in this context.
  • To address concerns regarding explanatory reductionism in biocognitive psychiatry.

Main Methods:

  • Review of existing literature on syndrome-based and biocognitive classifications.
  • Analysis of the RDoC framework and its applicability to antisocial personality disorders.
  • Philosophical argument against the inevitability of explanatory reductionism in biocognitive approaches.

Main Results:

  • Biocognitive classifications, inspired by RDoC, offer a promising alternative to traditional methods.
  • RDoC-like approaches can integrate diverse data (genetic, neural, cognitive, affective) for a comprehensive understanding.
  • Biocognitive approaches need not be reductionist; they can accommodate complex etiological factors.

Conclusions:

  • RDoC-inspired biocognitive classifications can enhance diagnostic validity and therapeutic targeting for antisocial individuals.
  • These approaches represent a significant advancement over current syndrome-based models.
  • Careful implementation can avoid the pitfalls of explanatory reductionism, leading to more effective interventions.