Evidence map›Paper›PMID 29870821›Full record

ArticleJournal of affective disorders2018

Free viewing of sad and happy faces in depression: A potential target for attention bias modification.

Amit Lazarov, Ziv Ben-Zion, Dana Shamai, Daniel S Pine, Yair Bar-Haim

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
7.4field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. An influence of menopausal symptoms on mental health, emotion perception, and quality of life: a multi-faceted approach.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  20. 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

5 authors at 2 institutions in 2 countries.

Amit LazarovSchool of Psychological Sciences, Tel Aviv University, Israel. Electronic address: amitlaza@post.tau.ac.il.
Ziv Ben-ZionTel Aviv Center for Brain Function, Wohl Institute for Advanced Imaging, Sourasky Medical Center and Sagol School of Neuroscience, Tel Aviv University, Israel.
Dana ShamaiSchool of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Israel.
Daniel S PineSection on Developmental Affective Neuroscience, National Institute of Mental Health, Bethesda, MD, USA.
Yair Bar-HaimSchool of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Israel.
Tel Aviv University · ILNational Institute of Mental Health · US

Funding

fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
Fmri Studies Of Risk For Mood And Anxiety Disorders In ChildrenZIAMH002782 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$28.3M
Research Training in Late-Life NeuroPsychiatric DisordersT32MH020004 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Patrick J Brown · 1998 to 2026
$6.1M
Intramural NIH HHS Z99 MH999999NIMH NIH HHS T32 MH020004
6 · The paper itself

Abstract

backgroundIdentification of reliable targets for therapeutic interventions is essential for developing evidence-based therapies. Attention biases toward negative-valenced information and lack of protective positive bias toward positive-valenced stimuli have been implicated in depression. However, extant research has typically used tasks with narrow stimuli arrays and unknown or poor psychometric properties. Here, we recorded eye-tracking data of depressed and non-depressed participants during a free viewing task to address these limitations.

methodsPatients with major depressive disorder (MDD; n = 20) and undergraduate students with high (n = 23) and low (n = 20) levels of depression freely viewed 60 different face-based matrices for six seconds each. Each matrix included eight sad and eight happy facial expressions. Gaze patterns on sad and happy areas of interest (AOIs) were explored. Internal consistency for the entire sample and one-week test-retest reliability in the student sub-sample were assessed.

resultsCompared to undergraduates with low levels of depression, patients with MDD and students with high levels of depression dwelled significantly longer on sad faces. Results also showed a significantly longer dwell time on the happy AOI relative to the sad AOI only in the low depression group. The two depressed groups dwelled equally on the two AOIs. The task demonstrated high internal consistency and acceptable one-week test-retest reliability. LIMITATIONS: Only sad and happy facial expressions were used. Relative small sample size.

conclusionRelative to non-depressed participants, depressed participants showed prolonged dwelling on sad faces and lack of bias toward happy faces. These biases present viable targets for gaze-contingent attention bias modification therapy.

Indexed as

Attentional BiasEye MovementsAdultDepressionFacial ExpressionFacial RecognitionFemaleHappinessHumansMajor Depressive DisorderMaleReproducibility of ResultsSadnessStudentsYoung AdultAttention allocationAttention biasAttention bias modificationDepressionEye trackingReliability

Identifiers

PMID29870821
PMCPMC6310000
OpenAlexW2807641468

What OpenQuestion holds

Textmetadata
LicenceTDM
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.