Evidence map›Paper›PMID 28345642›Full record

ArticleScientific reports2017

Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions.

Matteo Diano, Marco Tamietto, Alessia Celeghin, Lawrence Weiskrantz, Mona-Karina Tatu, Arianna Bagnis, Sergio Duca, Giuliano Geminiani, Franco Cauda, Tommaso Costa

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. A deep neural network model of the primate superior colliculus for emotion recognition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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

10 authors.

Matteo DianoDepartment of Medical and Clinical Psychology, and CoRPS - Center of Research on Psychology in Somatic diseases - Tilburg University, Tilburg, 5000LE, The Netherlands.
Marco TamiettoDepartment of Medical and Clinical Psychology, and CoRPS - Center of Research on Psychology in Somatic diseases - Tilburg University, Tilburg, 5000LE, The Netherlands.
Alessia CeleghinDepartment of Medical and Clinical Psychology, and CoRPS - Center of Research on Psychology in Somatic diseases - Tilburg University, Tilburg, 5000LE, The Netherlands.
Lawrence WeiskrantzDepartment of Experimental Psychology, University of Oxford, 9 South Parks Road, Oxford, OX1 3UD, United Kingdom.
Mona-Karina TatuDepartment of Psychology, University of Torino, via Po 14, Torino, 10123, Italy.
Arianna BagnisDepartment of Psychology, University of Torino, via Po 14, Torino, 10123, Italy.
Sergio DucaGCS-fMRI, Kolliker Hospital, Torino, 1100, Italy.
Giuliano GeminianiDepartment of Psychology, University of Torino, via Po 14, Torino, 10123, Italy.
Franco CaudaDepartment of Psychology, University of Torino, via Po 14, Torino, 10123, Italy.
Tommaso CostaDepartment of Psychology, University of Torino, via Po 14, Torino, 10123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest to characterize the neural signature distinctive of different basic emotions has recently come under renewed scrutiny. Here we investigated whether facial expressions of different basic emotions modulate the functional connectivity of the amygdala with the rest of the brain. To this end, we presented seventeen healthy participants (8 females) with facial expressions of anger, disgust, fear, happiness, sadness and emotional neutrality and analyzed amygdala's psychophysiological interaction (PPI). In fact, PPI can reveal how inter-regional amygdala communications change dynamically depending on perception of various emotional expressions to recruit different brain networks, compared to the functional interactions it entertains during perception of neutral expressions. We found that for each emotion the amygdala recruited a distinctive and spatially distributed set of structures to interact with. These changes in amygdala connectional patters characterize the dynamic signature prototypical of individual emotion processing, and seemingly represent a neural mechanism that serves to implement the distinctive influence that each emotion exerts on perceptual, cognitive, and motor responses. Besides these differences, all emotions enhanced amygdala functional integration with premotor cortices compared to neutral faces. The present findings thus concur to reconceptualise the structure-function relation between brain-emotion from the traditional one-to-one mapping toward a network-based and dynamic perspective.

Indexed as

AmygdalaBrainBrain MappingEmotionsFacial ExpressionFacial RecognitionFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsYoung Adult

Identifiers

PMID28345642
PMCPMC5366904

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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.