Literature DB >> 29183655

Predicting Violent Behavior: What Can Neuroscience Add?

Russell A Poldrack1, John Monahan2, Peter B Imrey3, Valerie Reyna4, Marcus E Raichle5, David Faigman6, Joshua W Buckholtz7.   

Abstract

The ability to accurately predict violence and other forms of serious antisocial behavior would provide important societal benefits, and there is substantial enthusiasm for the potential predictive accuracy of neuroimaging techniques. Here, we review the current status of violence prediction using actuarial and clinical methods, and assess the current state of neuroprediction. We then outline several questions that need to be addressed by future studies of neuroprediction if neuroimaging and other neuroscientific markers are to be successfully translated into public policy.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  crime; machine learning; neuroimaging; predictive modeling; violence

Mesh:

Year:  2017        PMID: 29183655      PMCID: PMC5794654          DOI: 10.1016/j.tics.2017.11.003

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  19 in total

1.  Profiling the differences of gut microbial structure between schizophrenia patients with and without violent behaviors based on 16S rRNA gene sequencing.

Authors:  Jiajun Xu; Junmei Hu; Xiacan Chen; Hongren Wang; Jiaguo Luo; Zheng Wang; Gang Chen; Dan Jiang; Ruochen Cao; Haolan Huang; Dan Luo; Xiao Xiao
Journal:  Int J Legal Med       Date:  2020-10-16       Impact factor: 2.686

2.  Mapping out the Trajectory of Islamic Perspectives on Neuroethics.

Authors:  Noorina Noorfuad
Journal:  Asian Bioeth Rev       Date:  2022-02-11

3.  Relating psychiatric symptoms and self-regulation during the COVID-19 crisis.

Authors:  Matilde M Vaghi; McKenzie P Hagen; Henry M Jones; Jeanette A Mumford; Patrick G Bissett; Russell A Poldrack
Journal:  Transl Psychiatry       Date:  2022-07-11       Impact factor: 7.989

4.  Examining the Effects of Normal Ageing on Cortical Connectivity of Older Adults.

Authors:  Muhammad Aamir Panhwar; Muhammad Mohsin Pathan; Nasrullah Pirzada; Muhammad Aashed Khan Abbasi; Deng ZhongLiang; Ghazala Panhwar
Journal:  Brain Topogr       Date:  2022-01-24       Impact factor: 4.275

Review 5.  Neuroimaging Abnormalities in Neurological Patients with Criminal Behavior.

Authors:  R Ryan Darby
Journal:  Curr Neurol Neurosci Rep       Date:  2018-06-14       Impact factor: 5.081

6.  How Should Clinicians Determine a Traumatized Patient's Readiness to Return to Work?

Authors:  Tabitha E H Moses; Arash Javanbakht
Journal:  AMA J Ethics       Date:  2022-02-01

Review 7.  [The predictable human : Possibilities and risks of AI-based prediction of cognitive abilities, personality traits and mental illnesses].

Authors:  Simon B Eickhoff; Bert Heinrichs
Journal:  Nervenarzt       Date:  2021-10-04       Impact factor: 1.214

8.  Prediction of recidivism in a long-term follow-up of forensic psychiatric patients: Incremental effects of neuroimaging data.

Authors:  Carl Delfin; Hedvig Krona; Peter Andiné; Erik Ryding; Märta Wallinius; Björn Hofvander
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

9.  Neuroimaging-based prediction of mental traits: Road to utopia or Orwell?

Authors:  Simon B Eickhoff; Robert Langner
Journal:  PLoS Biol       Date:  2019-11-14       Impact factor: 8.029

10.  Imaging Violence in Schizophrenia: A Systematic Review and Critical Discussion of the MRI Literature.

Authors:  Maria Fjellvang; Linda Grøning; Unn K Haukvik
Journal:  Front Psychiatry       Date:  2018-07-23       Impact factor: 4.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.