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  Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders

Popovic, D., Wertz, M., Geisler, C., Kaufmann, J., Lähteenvuo, M., Lieslehto, J., et al. (2023). Patterns of risk—Using machine learning and structural neuroimaging to identify pedophilic offenders. Frontiers in Psychiatry, 14-2023: 1001085. doi:10.3389/fpsyt.2023.1001085.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-1BE3-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-1BE4-4
Genre: Journal Article

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2023
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 Creators:
Popovic, David1, 2, Author           
Wertz, Maximilian, Author
Geisler, Carolin, Author
Kaufmann, Joern, Author
Lähteenvuo, Markku, Author
Lieslehto, Johannes, Author
Witzel, Joachim, Author
Bogerts, Bernhard, Author
Walter, Martin, Author
Falkai, Peter1, 2, Author           
Koutsouleris, Nikolaos1, 3, Author           
Schiltz, Kolja, Author
Affiliations:
1IMPRS Translational Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_3318616              
2Max Planck Institute of Psychiatry, Max Planck Society, ou_1607137              
3Max Planck Fellow Group Precision Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_3318615              

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 Abstract: Child sexual abuse (CSA) has become a focal point for lawmakers, law enforcement, and mental health professionals. With high revalence rates around the world and far-reaching, often chronic, individual, and societal
implications, CSA and its leading risk factor, pedophilia, have been well investigated. This has led to a wide range of clinical tools and actuarial instruments for diagnosis and risk assessment regarding CSA. However, the
neurobiological underpinnings of pedosexual behavior, specifically regarding hands-on pedophilic offenders (PO), remain elusive. Such biomarkers for PO individuals could potentially improve the early detection of high-risk PO individuals and enhance efforts to prevent future CSA.

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Language(s): eng - English
 Dates: 2022-07-222023-03-272023-04-20
 Publication Status: Published online
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fpsyt.2023.1001085
 Degree: -

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Title: Frontiers in Psychiatry
  Abbreviation : Front Psychiatry
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: 13 Volume / Issue: 14-2023 Sequence Number: 1001085 Start / End Page: - Identifier: ISSN: 1664-0640
CoNE: https://pure.mpg.de/cone/journals/resource/16640640