Evidence map›Paper›PMID 39045509›Full record

ArticleFrontiers in human neuroscience2024

AttentionCARE: replicability of a BCI for the clinical application of augmented reality-guided EEG-based attention modification for adolescents at high risk for depression.

Richard Gall, Nastasia Mcdonald, Xiaofei Huang, Anna Wears, Rebecca B Price, Sarah Ostadabbas, Murat Akcakaya, Mary L Woody

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2024. 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

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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Richard GallSignal Processing and Statistical Learning Laboratory, Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Nastasia McdonaldClinical Application of Neuroscience Laboratory, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
Xiaofei HuangAugmented Cognition Laboratory, Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Anna WearsClinical Application of Neuroscience Laboratory, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
Rebecca B PriceClinical Application of Neuroscience Laboratory, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
Sarah OstadabbasAugmented Cognition Laboratory, Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Murat AkcakayaSignal Processing and Statistical Learning Laboratory, Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Mary L WoodyClinical Application of Neuroscience Laboratory, Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

Visuocortical Dynamics of Affect-Biased Attention in the Development of Adolescent DepressionK23MH119225 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WOODY, MARY LOUISE · 2019 to 2023
$844k
NIMH NIH HHS K23 MH119225
6 · The paper itself

Abstract

Affect-biased attention is the phenomenon of prioritizing attention to emotionally salient stimuli and away from goal-directed stimuli. It is thought that affect-biased attention to emotional stimuli is a driving factor in the development of depression. This effect has been well-studied in adults, but research shows that this is also true during adolescence, when the severity of depressive symptoms are correlated with the magnitude of affect-biased attention to negative emotional stimuli. Prior studies have shown that trainings to modify affect-biased attention may ameliorate depression in adults, but this research has also been stymied by concerns about reliability and replicability. This study describes a clinical application of augmented reality-guided EEG-based attention modification ("AttentionCARE") for adolescents who are at highest risk for future depressive disorders (i.e., daughters of depressed mothers). Our results (

Indexed as

affect-biased attentionaugmented reality (AR)brain-computer interface (BCI)depressionelectroencephalography (EEG)neurofeedback

Identifiers

PMID39045509
PMCPMC11264899

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.