Evidence map›Paper›PMID 34235992›Full record

ArticleSexual abuse : a journal of research and treatment2022

Automaticity of Early Sexual Attention: An Event-Related Potential Study.

Anastasios Ziogas, Benedikt Habermeyer, Wolfram Kawohl, Elmar Habermeyer, Andreas Mokros

Open access · hybridAbstract read
In one paragraph

Article in Sexual abuse : a journal of research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Anastasios ZiogasUniversity Hospital of Psychiatry Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4912-332X
Benedikt HabermeyerDepartment of Psychiatry and Psychotherapy, Psychiatric Services Aargau, Brugg, Switzerland.
Wolfram KawohlDepartment of Psychiatry and Psychotherapy, Psychiatric Services Aargau, Brugg, Switzerland.
Elmar HabermeyerUniversity Hospital of Psychiatry Zurich, Switzerland.
Andreas MokrosUniversity Hospital of Psychiatry Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9706-0928
University Hospital of Zurich · CHFernUniversität in Hagen · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A promising line of research on forensic assessment of paraphilic sexual interest focuses on behavioral measures of visual attention using sexual stimuli as distractors. The present study combined event-related potentials (ERPs) with behavioral measures to investigate whether detection of a hidden sexual preference can be improved with ERPs. Normal variants of sexual orientation were used for a proof-of-concept investigation. Accordingly, 40 heterosexual and 40 gay men participated in the study. Within each group, half of the participants were instructed to hide their sexual orientation. The results showed that a match between sexual orientation and stimulus delays responses and influences ERP before motor responses. Late ERP components showed higher potential in differentiating hidden sexual preferences than motor responses, thereby showing how ERPs can be used in combination with reaction time measures to potentially facilitate the detection of hidden sexual preferences.

Indexed as

Evoked PotentialsSexual BehaviorFemaleHumansMaleReaction Timebrain potentialsforensic assessmentparaphilic sexual interestssexual preference

Identifiers

PMID34235992
PMCPMC9260476
OpenAlexW3177832196

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.