Evidence map›Paper›PMID 34905775›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2022

The Brain Activation-Based Sexual Image Classifier (BASIC): A Sensitive and Specific fMRI Activity Pattern for Sexual Image Processing.

Sophie R van 't Hof, Lukas Van Oudenhove, Erick Janssen, Sanja Klein, Marianne C Reddan, Philip A Kragel, Rudolf Stark, Tor D Wager

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Sophie R van 't HofDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.ORCID 0000-0003-1758-8966
Lukas Van OudenhoveDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.
Erick JanssenInstitute for Family and Sexuality Studies, KU Leuven, Leuven 3000, Belgium.
Sanja KleinBender Institute of Neuroimaging (BION), Justus Liebig University Giessen, Giessen 35390, Germany.
Marianne C ReddanInstitute of Cognitive Science, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA.
Philip A KragelInstitute of Cognitive Science, Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA.
Rudolf StarkBender Institute of Neuroimaging (BION), Justus Liebig University Giessen, Giessen 35390, Germany.
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggest there is a complex relationship between sexual and general affective stimulus processing, which varies across individuals and situations. We examined whether sexual and general affective processing can be distinguished at the brain level. In addition, we explored to what degree possible distinctions are generalizable across individuals and different types of sexual stimuli, and whether they are limited to the engagement of lower-level processes, such as the detection of visual features. Data on sexual images, nonsexual positive and negative images, and neutral images from Wehrum et al. (2013) (N = 100) were reanalyzed using multivariate support vector machine models to create the brain activation-based sexual image classifier (BASIC) model. This model was tested for sensitivity, specificity, and generalizability in cross-validation (N = 100) and an independent test cohort (N = 18; Kragel et al. 2019). The BASIC model showed highly accurate performance (94-100%) in classifying sexual versus neutral or nonsexual affective images in both datasets with forced choice tests. Virtual lesions and tests of individual large-scale networks (e.g., visual or attention networks) show that individual networks are neither necessary nor sufficient to classify sexual versus nonsexual stimulus processing. Thus, responses to sexual images are distributed across brain systems.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingBrainHumansSupport Vector Machineerotic imagesmachine learning prediction modelmultivariate analysisneuroimagingsexual stimuli processingsupport vector machine classification

Identifiers

PMID34905775
PMCPMC9290618

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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.