Evidence map›Paper›PMID 31477195›Full record

ArticlePsychological medicine2020

Deep phenotyping of attention impairments and the 'Inattention Biotype' in Major Depressive Disorder.

Arielle S Keller, Tali M Ball, Leanne M Williams

Abstract read
In one paragraph

Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Neural Circuit Taxonomy and Precision Psychiatry in Major Depression.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Reproducible sex differences in personalised functional network topography in youth.The British journal of psychiatry : the journal of mental science · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Mapping the relationship of white matter lesions to depression in multiple sclerosis.medRxiv : the preprint server for health sciences · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. 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

3 authors.

Arielle S KellerGraduate Program in Neurosciences, Stanford University, Stanford, CA, USA.
Tali M BallDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Leanne M WilliamsDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Funding

Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomesUH2HL132368 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MA, JUN, WILLIAMS, LEANNE · 2015 to 2017
$2.6M
Neural Dimensions of Threat Reactivity and Regulation for Understanding AnxietyR01MH101496 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2013 to 2016
$2.3M
Developing a mechanistic neurobiological model of exposure therapy response based on fear extinction theoryK23MH113708 · NIMH · STANFORD UNIVERSITY · PI BALL, TALI MANBER · 2018 to 2021
$746k
NHLBI NIH HHS UH2 HL132368NIMH NIH HHS K23 MH113708NIMH NIH HHS R01 MH101496NIMH NIH HHS T32 MH020016
6 · The paper itself

Abstract

backgroundAttention impairment is an under-investigated feature and diagnostic criterion of Major Depressive Disorder (MDD) that is associated with poorer outcomes. Despite increasing knowledge regarding mechanisms of attention in healthy adults, we lack a detailed characterization of attention impairments and their neural signatures in MDD.

methodsHere, we focus on selective attention and advance a deep multi-modal characterization of these impairments in MDD, using data acquired from n = 1008 patients and n = 336 age- and sex-matched healthy controls. Selective attention impairments were operationalized and anchored in a behavioral performance measure, assessed within a battery of cognitive tests. We sought to establish the accompanying neural signature using independent measures of functional magnetic resonance imaging (15% of the sample) and electroencephalographic recordings of oscillatory neural activity.

resultsGreater impairment on the behavioral measure of selective attention was associated with intrinsic hypo-connectivity of the fronto-parietal attention network. Not only was this relationship specific to the fronto-parietal network unlike other large-scale networks; this hypo-connectivity was also specific to selective attention performance unlike other measures of cognition. Selective attention impairment was also associated with lower posterior alpha (8-13 Hz) power at rest and was related to more severe negative bias (frequent misidentifications of neutral faces as sad and lingering attention on sad faces), relevant to clinical features of negative attributions and brooding. Selective attention impairments were independent of overall depression severity and of worrying or sleep problems.

conclusionsThese results provide a foundation for the clinical translational development of objective markers and targeted therapeutics for attention impairment in MDD.

Indexed as

AdultCase-Control StudiesCognitive DysfunctionFemaleFrontal LobeHumansLinear ModelsMagnetic Resonance ImagingMajor Depressive DisorderMaleMiddle AgedNeural PathwaysNeuropsychological TestsYoung AdultAttentionbehavioral testingdepressionEEGfunctional MRI

Identifiers

PMID31477195
PMCPMC8022888

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Registered trials

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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.