Evidence map›Paper›PMID 34489665›Full record

ArticleFrontiers in human neuroscience2021

Older Adults Automatically Detect Age of Older Adults' Photographs: A Visual Mismatch Negativity Study.

Petra Csizmadia, Bela Petro, Petia Kojouharova, Zsófia Anna Gaál, Katalin Scheiling, Boglárka Nagy, István Czigler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Petra CsizmadiaInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
Bela PetroInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
Petia KojouharovaInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
Zsófia Anna GaálInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
Katalin ScheilingInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
Boglárka NagyInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
István CziglerInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
HUN-REN Research Centre for Natural Sciences · HUInstitute of Cognitive Neuroscience and Psychology · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human face is one of the most frequently used stimuli in vMMN (visual mismatch negativity) research. Previous studies showed that vMMN is sensitive to facial emotions and gender, but investigations of age-related vMMN differences are relatively rare. The aim of this study was to investigate whether the models' age in photographs were automatically detected, even if the photographs were not parts of the ongoing task. Furthermore, we investigated age-related differences, and the possibility of different sensitivity to photographs of participants' own versus different ages. We recorded event-related potentials (ERPs) to faces of young and old models in younger (

Indexed as

agingfacial stimulioddballown-age biasvisual mismatch negativity (vMMN)

Identifiers

PMID34489665
PMCPMC8417827
OpenAlexW3194348500

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.