Evidence map›Paper›PMID 37644362›Full record

ArticlePhysical and engineering sciences in medicine2023

Facial functional networks during resting state revealed by thermal infrared imaging.

Daniela Cardone, Francesco Cerritelli, Piero Chiacchiaretta, David Perpetuini, Arcangelo Merla

Abstract read
In one paragraph

Article in Physical and engineering sciences in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Daniela CardoneDepartment of Engineering and Geology, University G. d'Annunzio of Chieti-Pescara, 65127, Pescara, Italy. d.cardone@unich.it.ORCID http://orcid.org/0000-0002-1506-1995
Francesco CerritelliClinical Human-Based Department, Foundation COME Collaboarion, 65121, Pescara, Italy.
Piero ChiacchiarettaDepartment of Innovative Technologies in Medicine and Odontoiatry, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
David PerpetuiniDepartment of Engineering and Geology, University G. d'Annunzio of Chieti-Pescara, 65127, Pescara, Italy.
Arcangelo MerlaDepartment of Engineering and Geology, University G. d'Annunzio of Chieti-Pescara, 65127, Pescara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, an increasing number of studies on psychophysiology and, in general, on clinical medicine has employed the technique of facial thermal infrared imaging (IRI), which allows to obtain information about the emotional and physical states of the subjects in a completely non-invasive and contactless fashion. Several regions of interest (ROIs) have been reported in literature as salient areas for the psychophysiological characterization of a subject (i.e. nose tip and glabella ROIs). There is however a lack of studies focusing on the functional correlation among these ROIs and about the physiological basis of the relation existing between thermal IRI and vital signals, such as the electrodermal activity, i.e. the galvanic skin response (GSR). The present study offers a new methodology able to assess the functional connection between salient seed ROIs of thermal IRI and all the pixel of the face. The same approach was also applied considering as seed signal the GSR and its phasic and tonic components. Seed correlation analysis on 63 healthy volunteers demonstrated the presence of a common pathway regulating the facial thermal functionality and the electrodermal activity. The procedure was also tested on a pathological case study, finding a completely different pattern compared to the healthy cases. The method represents a promising tool in neurology, physiology and applied neurosciences.

Indexed as

NeurosciencesPsychophysiologyDiagnostic ImagingForeheadGalvanic Skin ResponseHumansFacial physiologyGalvanic skin responseImage warpingSeed correlation mapThermal infrared imaging

Identifiers

PMID37644362
PMCPMC10703742

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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.