Evidence map›Paper›PMID 30013925›Full record

ArticleNeuroImage. Clinical2018

Age of gray matters: Neuroprediction of recidivism.

Kent A Kiehl, Nathaniel E Anderson, Eyal Aharoni, J Michael Maurer, Keith A Harenski, Vikram Rao, Eric D Claus, Carla Harenski, Mike Koenigs, Jean Decety and 4 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Critical Psychology and the Brain: Rethinking Free will in the Legal Context.Integrative psychological & behavioral science · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Classifying handedness with MRI.Neuroimage. Reports · 2021
    Article
  18. Article
  19. Pitfalls in brain age analyses.Human brain mapping · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Kent A KiehlThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA; Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA; University of New Mexico School of Law, Albuquerque, NM, USA. Electronic address: kkiehl@mrn.org.
Nathaniel E AndersonThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.
Eyal AharoniDepartment of Psychology, Georgia State University, Atlanta, GA, USA.
J Michael MaurerThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
Keith A HarenskiThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.
Vikram RaoThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.
Eric D ClausThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.
Carla HarenskiThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.
Mike KoenigsDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
Jean DecetyDepartment of Psychology, Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
David KossonDepartment of Psychology, Rosalind Franklin University, Chicago, IL, USA.
Tor D WagerDepartment of Psychology, University of Colorado-Boulder, Boulder, CO, USA.
Vince D CalhounThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA; Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA; Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA.
Vaughn R SteeleThe nonprofit Mind Research Network (MRN) & Lovelace Biomedical, Albuquerque, NM, USA.

Funding

Externalizing outcomes in high risk youthR01HD092331 · NICHD · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2017 to 2022
$3.5M
Brain changes and outcomes accompanying evidence-based treatment in high-risk youthR01HD082257 · NICHD · THE MIND RESEARCH NETWORK · PI CALDWELL, MICHAEL F., KIEHL, KENT A · 2015 to 2020
$3.5M
Socio-moral processing in psychopathy and substance abuseR01DA026505 · NIDA · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2009 to 2013
$3.3M
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Neurocognitive Changes Associated with Behavioral Treatment in Cocaine AbusersR01DA020870 · NIDA · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2005 to 2009
$3.0M
Action Monitoring, Action Observation and Dopamine Genes as Predictors of SubstanR01DA026964 · NIDA · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2010 to 2014
$2.9M
Neural Substrate of Cognitive and Emotional Deficits in PsychopathyR01MH090169 · NIMH · ROSALIND FRANKLIN UNIV OF MEDICINE & SCI · PI KOSSON, DAVID STEVEN · 2011 to 2014
$2.5M
NEUROCOGNITIVE ASSESSMENT OF 'CALLOUS' CONDUCT DISORDERED YOUTHR01MH071896 · NIMH · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2006 to 2010
$1.7M
Neurological mechanisms in Emotional Processes of PsychopathyR01MH087525 · NIMH · UNIVERSITY OF CHICAGO · PI DECETY, JEAN · 2011 to 2014
$1.6M
ERP and fMRI of emotion and cognition in psychopathyR01MH070539 · NIMH · THE MIND RESEARCH NETWORK · PI KIEHL, KENT A · 2005 to 2008
$1.2M
NIH HHS R01 DA020870NIH HHS R01 DA026505NIH HHS R01 DA026964NIH HHS R01 EB000840NIH HHS R01 HD082257NIH HHS R01 HD092331NIH HHS R01 MH070539NIH HHS R01 MH071896NIH HHS R01 MH087525NIH HHS R01 MH090169
6 · The paper itself

Abstract

Age is one of the best predictors of antisocial behavior. Risk models of recidivism often combine chronological age with demographic, social and psychological features to aid in judicial decision-making. Here we use independent component analyses (ICA) and machine learning techniques to demonstrate the utility of using brain-based measures of cerebral aging to predict recidivism. First, we developed a brain-age model that predicts chronological age based on structural MRI data from incarcerated males (

Indexed as

RecidivismAdolescentAdultAgedAge FactorsAntisocial Personality DisorderBrainChildCriminalsGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedPrisonersRisk FactorsAgeAntisocialMRINeuropredictionRecidivism

Identifiers

PMID30013925
PMCPMC6024200

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.