Evidence map›Paper›PMID 33073911›Full record

ArticleHuman brain mapping2021

Supramodal neural networks support top-down processing of social signals.

Melina Sonderfeld, Klaus Mathiak, Gianna S Häring, Sarah Schmidt, Ute Habel, Raquel Gur, Martin Klasen

Abstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Melina SonderfeldDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen, Aachen, Germany.
Klaus MathiakDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen, Aachen, Germany.
Gianna S HäringDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen, Aachen, Germany.
Sarah SchmidtLife & Brain - Institute for Experimental Epileptology and Cognition Research, Bonn, Germany.
Ute HabelDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen, Aachen, Germany.
Raquel GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Martin KlasenDepartment of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen, Aachen, Germany.ORCID 0000-0001-7823-3013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perception of facial and vocal stimuli is driven by sensory input and cognitive top-down influences. Important top-down influences are attentional focus and supramodal social memory representations. The present study investigated the neural networks underlying these top-down processes and their role in social stimulus classification. In a neuroimaging study with 45 healthy participants, we employed a social adaptation of the Implicit Association Test. Attentional focus was modified via the classification task, which compared two domains of social perception (emotion and gender), using the exactly same stimulus set. Supramodal memory representations were addressed via congruency of the target categories for the classification of auditory and visual social stimuli (voices and faces). Functional magnetic resonance imaging identified attention-specific and supramodal networks. Emotion classification networks included bilateral anterior insula, pre-supplementary motor area, and right inferior frontal gyrus. They were pure attention-driven and independent from stimulus modality or congruency of the target concepts. No neural contribution of supramodal memory representations could be revealed for emotion classification. In contrast, gender classification relied on supramodal memory representations in rostral anterior cingulate and ventromedial prefrontal cortices. In summary, different domains of social perception involve different top-down processes which take place in clearly distinguishable neural networks.

Indexed as

Social PerceptionAdultCerebral CortexEmotionsFacial RecognitionFemaleHumansMagnetic Resonance ImagingMaleNerve NetSpeech PerceptionYoung Adultemotiongendersalience networksocial perceptionsupramodaltop-down

Identifiers

PMID33073911
PMCPMC7814753

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.