Cited by 52Neural and Behavioral Psychology StudiesTreatment of Major DepressionAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Deep phenotyping of attention impairments and the ‘Inattention Biotype’ in Major Depressive Disorder

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Keller, Arielle S., Ball, Tali M., Williams, Leanne M.·2020·Psychological Medicine

Abstract

Background: Attention 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. Methods: Here, 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. Results: Greater 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. Conclusions: These results provide a foundation for the clinical translational development of objective markers and targeted therapeutics for attention impairment in MDD.

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  • Unmedicated depressed individuals, including children, adolescents, and adults, perform worse than healthy controls on feature-based selective attention tasks requiring attention to a task-relevant feature while ignoring a distracting feature.

    “Many investigations of color-word reaction times have revealed that unmedicated depressed individuals (including children, adolescents, and adults) perform worse than healthy controls when required to attend to a task-relevant feature (e.g., color) while simultaneously ignoring a distracting feature (e.g., semantic meaning)16–19, including in an international sample of n = 1008 MDD participants”

    From Paying attention to attention in depression (2019) · cites this paper as [20]

  • In the authors' own work, hypoconnectivity within the fronto-parietal attention network is directly linked to poorer goal-directed attention in major depressive disorder.

    “In our own work, we have directly linked hypoconnectivity within this fronto-parietal attention network to poorer goal-directed attention in MDD20.”

    From Paying attention to attention in depression (2019) · cites this paper as [20]

  • In the authors' own data, there is no significant correlation between selective attention and worrying.

    “In our own data, we do not observe a significant correlation between selective attention and worrying20”

    From Paying attention to attention in depression (2019) · cites this paper as [20]

  • The authors' own data suggest that selective attention function does not correlate with insomnia or excessive worrying.

    “our own data suggest that selective attention function does not correlate with insomnia or excessive worrying20.”

    From Paying attention to attention in depression (2019) · cites this paper as [20]

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References 36 · Cited by 52

Authors
Keller, A. S., Ball, T. M., & Williams, L. M.
Affiliations
  • Stanford Medicine (US)
  • VA Palo Alto Health Care System (US)
Corresponding author
Williams, Leanne M.
Venue
Psychological Medicine
Published
2019-09-03
Volume
50
Issue
13
Pages
2203-2212
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W2971783185
Cited by
52
References
36
Citations by year
2026: 5 · 2025: 8 · 2024: 7 · 2023: 6 · 2022: 11 · 2021: 8 · 2020: 4 · 2019: 3
FWCI
3.78
Type
journal article
Language
en
Open access
Locations
  • Psychological Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Heart, Lung, and Blood Institute (UH2HL132368)
  • National Institute of Mental Health (K23MH113708, R01MH101496, T32MH020016)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
major depressive disorder, attention deficits, selective attention, frontoparietal attention network, negative bias, face perception, brooding, negative attributions, objective biomarkers
MeSH terms
Adult, Major Depressive Disorder, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Neuropsychological Tests, Linear Models, Case-Control Studies, Young Adult, Cognitive Dysfunction

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