Evidence map›Paper›PMID 25757797›Full record

ArticleHuman brain mapping2015

Differential relations between juvenile psychopathic traits and resting state network connectivity.

Moran D Cohn, Louise E Pape, Lianne Schmaal, Wim van den Brink, Guido van Wingen, Robert R J M Vermeiren, Theo A H Doreleijers, Dick J Veltman, Arne Popma

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
3.1field-weighted citation impact, top 8% of its field
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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  5. Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    Pooled it
  6. Review
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  10. Classifying Conduct Disorder Using a Biopsychosocial Model and Machine Learning Method.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Article
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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

9 authors at 4 institutions in 2 countries.

Moran D CohnDepartment of Child and Adolescent Psychiatry, VU University medical center Amsterdam, Duivendrecht, The Netherlands.
Louise E Pape
Lianne Schmaal
Wim van den Brink
Guido van Wingen
Robert R J M Vermeiren
Theo A H Doreleijers
Dick J Veltman
Arne Popma
Amsterdam UMC Location VUmc · NLAcademic Medical Center · NLLeiden University Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, neurobiological research on psychopathy has focused on categorical differences in adults. However, there is evidence that psychopathy is best described by a set of relatively independent personality dimensions, that is, callous-unemotional, grandiose-manipulative, and impulsive-irresponsible traits, which can be reliably detected in juveniles, allowing investigation of the neural mechanisms leading to psychopathy. Furthermore, complex psychiatric disorders like psychopathy are increasingly being conceptualized as disorders of brain networks. The intrinsic organization of the brain in such networks is reflected by coherent fluctuations in resting state networks (RSNs), but these have not been studied in sufficient detail in relation to juvenile psychopathic traits yet. The current study investigated the distinct associations of juvenile psychopathic traits dimensions with RSN connectivity. Resting-state functional MRI and independent component analysis were used to assess RSN connectivity in a large sample of adolescents (n = 130, mean age 17.8 years) from a childhood arrestee cohort. Associations between scores on each of the three psychopathic traits dimensions and connectivity within and between relevant RSNs were investigated. Callous-unemotional traits were related to aberrant connectivity patterns of the default mode network, which has been implicated in self-referential and moral processes. Impulsive-irresponsible traits were associated with altered connectivity patterns in the frontoparietal cognitive control networks. Grandiose-manipulative traits were not associated with altered connectivity patterns. These findings confirm the association between psychopathic traits and brain network connectivity, and considerably add to emerging evidence supporting neurobiological heterogeneity in the processes leading to psychopathy.

Indexed as

AdolescentAntisocial Personality DisorderBrainBrain MappingFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeural PathwaysPersonalityPersonality TestsRestchild psychiatryfunctional connectivityfunctional MRIpersonality disorderspsychopathyresting state

Identifiers

PMID25757797
PMCPMC6869615
OpenAlexW1906853328

What OpenQuestion holds

Textmetadata
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.