Neuroprediction of violence and criminal behavior using neuro-imaging data: From innovation to considerations for future directions

Violent conduct in society is a major health concern, and therefore one of the major aims in forensic mental healthcare is the assessment of the risk for (future) violence. The prediction of violence risk is traditionally done by using violence risk assessment tools in the form of actuarial instruments and structured professional judgments. However, research has shown that the risk assessment tools that are currently being used, are not as accurate in predicting future risk as one would hope for. Therefore, some scholars advocate a paradigm shift by incorporating a biopsychosocial model, including neurobiological measures in risk assessment models. The current review aimed to give answer to the question whether neuro-imaging measurements add in the accuracy of predicting aggression and violent (criminal) recidivism, and to discuss what next steps need to be taken to move neuro-imaging informed risk assessment forward in forensic clinical practice. The results of the current review showed that findings regarding ‘neuroprediction’ are mainly based on cross-sectional studies and that studies using rigorous methods for determining the incremental predictive accuracy of neural parameters are lacking. Future studies need to rely on prospective and longitudinal data that address the added value of neural measures over traditional risk factors specifically, taken different ethical and judicial considerations into account. Studies that take a personalized approach, focusing on neurobiologically informed risk assessment at the individual level to translate this into forensic clinical practice, is in our view the next step that will move this forward. • Current violent risk assessment practices need improvements to increase prediction accuracy and clinical utility. • Risk for violent recidivism might be assessed using neural markers that also inform risk management strategies. • Neuroscientific informed violence risk assessment might be a promising new avenue in forensic clinical practice.

Authors

Institutions

Publication Details

Journal
Aggression and Violent Behavior
Published
2024-09-19
DOI
https://doi.org/10.1016/j.avb.2024.102008
Citations
16
Primary Topic
Psychopathy, Forensic Psychiatry, Sexual Offending
Type
article
Field-Weighted Citation Impact
10.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuroprediction of violence and criminal behavior using neuro-imaging data: From innovation to considerations for future directions

Olivia Choy, Josanne D. M. van Dongen, Yudith Haveman, Carmen S. Sergiou
16 citations
Aggression and Violent Behavior
Psychopathy, Forensic Psychiatry, Sexual Offending
10.22
article

Neuroprediction of violence and criminal behavior using neuro-imaging data: From innovation to considerations for future directions

Olivia Choy, Josanne D. M. van Dongen, Yudith Haveman, Carmen S. Sergiou
article en
16 citations

Abstract

Violent conduct in society is a major health concern, and therefore one of the major aims in forensic mental healthcare is the assessment of the risk for (future) violence. The prediction of violence risk is traditionally done by using violence risk assessment tools in the form of actuarial instruments and structured professional judgments. However, research has shown that the risk assessment tools that are currently being used, are not as accurate in predicting future risk as one would hope for. Therefore, some scholars advocate a paradigm shift by incorporating a biopsychosocial model, including neurobiological measures in risk assessment models. The current review aimed to give answer to the question whether neuro-imaging measurements add in the accuracy of predicting aggression and violent (criminal) recidivism, and to discuss what next steps need to be taken to move neuro-imaging informed risk assessment forward in forensic clinical practice. The results of the current review showed that findings regarding ‘neuroprediction’ are mainly based on cross-sectional studies and that studies using rigorous methods for determining the incremental predictive accuracy of neural parameters are lacking. Future studies need to rely on prospective and longitudinal data that address the added value of neural measures over traditional risk factors specifically, taken different ethical and judicial considerations into account. Studies that take a personalized approach, focusing on neurobiologically informed risk assessment at the individual level to translate this into forensic clinical practice, is in our view the next step that will move this forward. • Current violent risk assessment practices need improvements to increase prediction accuracy and clinical utility. • Risk for violent recidivism might be assessed using neural markers that also inform risk management strategies. • Neuroscientific informed violence risk assessment might be a promising new avenue in forensic clinical practice.

Aggression and Violent BehaviorVol. 80
Nanyang Technological University (SG), American Academy of Child and Adolescent Psychiatry (US), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 1%
Psychopathy, Forensic Psychiatry, Sexual Offending
10.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.