Evidence map›Paper›PMID 40600273›Full record

ArticleBehavioral sciences & the law

Under-Interpretation of Neuroimaging Data in Insanity Assessment: A Hidden Risk.

Camilla Frangi, Alexa Schincariol, Pietro Pietrini, Giuseppe Sartori, Stefano Ferracuti, Cristina Scarpazza

Abstract readCase Reports
In one paragraph

Article in Behavioral sciences & the law. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Camilla FrangiDepartment of General Psychology, University of Padova, Padova, Italy.ORCID https://orcid.org/0009-0003-9941-5782
Alexa SchincariolDepartment of General Psychology, University of Padova, Padova, Italy.ORCID https://orcid.org/0009-0000-7270-7417
Pietro PietriniIMT School for Advanced Studies Lucca, Lucca, Italy.ORCID https://orcid.org/0000-0002-6768-5556
Giuseppe SartoriDepartment of General Psychology, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-6026-0133
Stefano FerracutiDepartment of Human Neurosciences, Sapienza Università di Roma, Rome, Italy.ORCID https://orcid.org/0000-0003-1150-1460
Cristina ScarpazzaDepartment of General Psychology, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-4126-426X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimaging data can provide valuable insights into insanity evaluations, but the debate over its use for legal purposes is far from resolved. While much attention has been given to the risks of over-interpretation, potential errors stemming from under-interpretation received less scrutiny. In this paper, we aim to showcase how this error may influence the results of an insanity evaluation by presenting an Italian forensic case. The defendant presented with intellectual disability and psychotic symptoms coupled with multiple brain abnormalities that were interpreted as variant of normal neuroanatomy. The case is discussed in detail. This article offers an insight into a neglected issue in forensic neuroscience, destined to gain prominence as this discipline becomes increasingly important in criminal justice systems worldwide. We recommend the use of a multidisciplinary approach to insanity to reduce the likelihood of error. In this context, neuroimaging can play an important role, and its interpretation should strictly adhere to guidelines to minimize the possibility of both over-interpretation and under-interpretation.

Indexed as

BrainForensic PsychiatryInsanity DefenseNeuroimagingHumansIntellectual DisabilityItalyPsychotic Disorderscognitive biascriminal liabilityexpert witnessforensic psychiatryinsanity defencelawneuroimagingneuroscience

Identifiers

PMID40600273
PMCPMC12521884

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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.