Evidence map›Paper›PMID 41727261›Full record

ArticleEurope's journal of psychology2025

One-Minute Silent Video Clips: A Database of Valence and Arousal.

Vladimir Kosonogov, Kirill Efimov, Olga Kuskova, Isak B Blank

Abstract read
In one paragraph

Article in Europe's journal of psychology, 2025. 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

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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

4 authors.

Vladimir KosonogovAffective Psychophysiology Laboratory, Institute of Health Psychology, HSE University, Saint Petersburg, Russian Federation.
Kirill EfimovInstitute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.
Olga KuskovaInstitute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.
Isak B BlankInstitute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers in the behavioral and social sciences use linear discriminant analysis (LDA) for predictions of group membership (classification) and for identifying the variables most relevant to group separation among a set of continuous correlated variables (description). In these and other disciplines, longitudinal data are often collected which provide additional temporal information. Linear classification methods for repeated measures data are more sensitive to actual group differences by taking the complex correlations between time points and variables into account, but are rarely discussed in the literature. Moreover, psychometric data rarely fulfill the multivariate normality assumption. The article introduces a dataset consisting of 160 one-minute affective video clips with normative values of valence and arousal. Each video was evaluated by 30 subjects, while each subject evaluated at least 20 videos. Compared to previous attempts to collect affective videos, the dataset has several advantages. Firstly, the high number of videos in different valence categories allows researchers to compile appropriate subsets for their studies. Secondly, the approximately equal and conventional duration of videos makes it possible to use them in psychophysiological studies applying EEG, fMRI, peripheral polygraphy, posturography, TMS, etc. Thirdly, the exclusion of sound or speech that might provoke culture-dependent interpretation makes the dataset useful in different cultures. The relationship between valence and arousal showed a typical quadratic pattern, with very negative and very positive videos receiving higher levels of arousal. Several negative videos received greater arousal scores than the most positive ones, reflecting negativity bias. The dataset encompasses more than 50 videos of different valence (negative, neutral, and positive ones). We believe that it will permit researchers to select corresponding subsamples of videos from different categories for their studies.

Indexed as

arousaldatabaseemotionvalencevideo

Identifiers

PMID41727261
PMCPMC12923196

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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.