Evidence map›Paper›PMID 29904892›Full record

ReviewCurrent neurology and neuroscience reports2018

Neuroimaging Abnormalities in Neurological Patients with Criminal Behavior.

R Ryan Darby

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Cesare Lombroso (1835-1909).Journal of neurology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Huntington's disease: a forensic risk factor in women.Journal of clinical movement disorders · 2019
    Article
  10. Lesion network localization of free will.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

1 author.

R Ryan DarbyDepartment of Neurology, Division Behavioral Neurology, Vanderbilt University Medical Center, A-0118 Medical Center North, Nashville, TN, 37232, USA. darby.ryan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCriminal behavior occurs in previously law-abiding neurological patients, including patients with traumatic brain injury, focal brain lesions, and dementia. Neuroimaging abnormalities in these patients allow one to explore the potential neuroanatomical correlates of criminal behavior. However, this process has been challenging because (1) It is difficult to determine the temporal relationship between criminal behavior and neurological disease onset; (2) Abnormalities in several different brain regions have been associated with criminal behavior; and (3) It is difficult to quantify neuroimaging abnormalities in individual subjects. RECENT

findingsRecent studies have begun to address these concerns, showing that neuroimaging abnormalities in patients with criminal behavior localize to a common brain network, rather than a single specific brain region. New methods have been developed to identify atrophy patterns in individual patients, but have not yet been used in neurological patients with criminal behavior. Future advances will be important for making sure that neuroimaging data is used in a responsible manner in legal cases involving criminal behavior.

Indexed as

Criminal BehaviorBrainCriminalsHumansNerve NetNervous System DiseasesNeuroimagingBrain lesionsBrain networksCriminalFrontal lobeMoralNeurology

Identifiers

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.