Evidence map›Paper›PMID 34799408›Full record

ArticleeNeuro

Automatic Recognition of Macaque Facial Expressions for Detection of Affective States.

Anna Morozov, Lisa A Parr, Katalin Gothard, Rony Paz, Raviv Pryluk

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 25 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

5 authors at 3 institutions in 2 countries.

Anna MorozovDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel.
Lisa A ParrYerkes National Primate Research Center, Emory University, Atlanta, Georgia 30329.
Katalin GothardDepartment of Physiology, College of Medicine, University of Arizona, Tucson, Arizona 85724 rony.paz@weizmann.ac.il kgothard@email.arizona.edu ravivpryluk@gmail.com.ORCID 0000-0001-9642-2985
Rony PazDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel rony.paz@weizmann.ac.il kgothard@email.arizona.edu ravivpryluk@gmail.com.
Raviv PrylukDepartment of Neurobiology, Weizmann Institute of Science, Rehovot 7610001, Israel rony.paz@weizmann.ac.il kgothard@email.arizona.edu ravivpryluk@gmail.com.
Weizmann Institute of Science · ILEmory University · USUniversity of Arizona · US

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
The Role of the Primate Amygdala in Social and Affective TouchR01MH121009 · NIMH · UNIVERSITY OF ARIZONA · PI GOTHARD, KATALIN M · 2019 to 2022
$2.1M
Development of Amygdalo-Prefrontal Connections in Adolescent MacaquesR01MH121706 · NIMH · UNIVERSITY OF ARIZONA · PI GOTHARD, KATALIN M · 2020 to 2024
$1.2M
NIMH NIH HHS R01 MH121009NIMH NIH HHS R01 MH121706
6 · The paper itself

Abstract

Internal affective states produce external manifestations such as facial expressions. In humans, the Facial Action Coding System (FACS) is widely used to objectively quantify the elemental facial action units (AUs) that build complex facial expressions. A similar system has been developed for macaque monkeys-the Macaque FACS (MaqFACS); yet, unlike the human counterpart, which is already partially replaced by automatic algorithms, this system still requires labor-intensive coding. Here, we developed and implemented the first prototype for automatic MaqFACS coding. We applied the approach to the analysis of behavioral and neural data recorded from freely interacting macaque monkeys. The method achieved high performance in the recognition of six dominant AUs, generalizing between conspecific individuals (

Indexed as

Facial ExpressionFacial RecognitionAnimalsEmotionsFaceMacaca mulattaRecognition, Psychology

Identifiers

PMID34799408
PMCPMC8664380
OpenAlexW3212981234

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.