Cited by 535Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesTreatment of Major DepressionNeural and Behavioral Psychology Studies

Cognitive Mechanisms of Treatment in Depression

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Roiser, Jonathan P, Elliott, Rebecca, Sahakian, Barbara J·2012·Neuropsychopharmacology

Abstract

Cognitive abnormalities are a core feature of depression, and biases toward negatively toned emotional information are common, but are they a cause or a consequence of depressive symptoms? Here, we propose a 'cognitive neuropsychological' model of depression, suggesting that negative information processing biases have a central causal role in the development of symptoms of depression, and that treatments exert their beneficial effects by abolishing these biases. We review the evidence pertaining to this model: briefly with respect to currently depressed patients, and in more detail with respect to individuals at risk for depression and the effects of antidepressant treatments. As well as being present in currently depressed individuals, negative biases are detectable in those vulnerable for depression due to neuroticism, genetic risk, or previous depressive illness. Recent evidence provides strong support for the notion that both antidepressant drugs and psychological therapies modify negative biases, providing a common mechanism for understanding treatments for depression. Intriguingly, it may even be possible to predict which patients will benefit most from which treatments on the basis of neural responses to negative stimuli. However, further research is required to ascertain whether negative processing biases will be useful in predicting, detecting, and treating depression, and hence in preventing a chronic, relapsing course of illness.

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Crossref · 10.1038/npp.2011.183

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  • Mental health vulnerability is reflected by negative emotional biases, impaired executive control, and heightened emotional reactivity, which may predispose to both maladaptive SNS use and the onset of mental illness.

    “Also, mental health vulnerability is reflected by the development of negative emotional biases, impaired executive control, and heightened emotional reactivity, which may predispose to both maladaptive SNS use and the onset of mental illness [51].”

    From Social networking site use, depressive and anxiety symptoms in adolescents: evidence from a longitudinal cohort study (SCAMP) (2026) · cites this paper as [51]

    The sections on neuroticism and genetic risk report negative emotional biases, heightened responses to negative stimuli, and evidence consistent with impaired cognitive control as vulnerability factors for depression. The paper does not address maladaptive SNS use, and its findings concern depression rather than the onset of mental illness generally. Page numbers are unavailable in our copy. (LLM, conf=0.88)

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  • Negative bias in emotional processing in depression has been reliably demonstrated across domains of perception, attention, memory, and reward.

    “Negative bias in emotional processing seen in depression has been reliably demonstrated across domains of emotional cognitive processing, including perception, attention, memory, and reward”
  • People with depression show preferential memory for negative emotional information in emotional word-based memory encoding (ECAT) and immediate and delayed recall (EREC) tasks.

    “they show preferential memory for negative emotional information in emotional word-based memory encoding (ECAT) and immediate and delayed recall (EREC) tasks”
  • People with depression are more likely to perceive and categorize ambiguous facial expressions as negative in the Facial Emotions Recognition Test (FERT).

    “people with depression are more likely to perceive and categorize ambiguous facial expressions as negative in the Facial Emotions Recognition Test (FERT)”
  • People with depression take longer to name the colour of negative emotional words in the emotional Stroop task.

    “take longer to name the colour of negative emotional words in the emotional Stroop task”

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References 277 · Cited by 535

Authors
Roiser, J. P., Elliott, R., & Sahakian, B. J.
Affiliations
  • University College London (GB)
  • University of Manchester (GB)
  • University of Cambridge (GB)
Corresponding author
Roiser, Jonathan P
Venue
Neuropsychopharmacology
Published
2011-10-05
Volume
37
Issue
1
Pages
117-136
ISSN
  • 0893-133X (ISSN-L)
  • 1740-634X
OpenAlex
W2067422206
Cited by
535
References
277
Citations by year
2026: 29 · 2025: 32 · 2024: 43 · 2023: 36 · 2022: 48 · 2021: 78 · 2020: 36 · 2019: 29 · 2018: 34 · 2017: 31 · 2016: 36 · 2015: 45 · 2014: 24 · 2013: 22 · 2012: 11
FWCI
2.40
Type
journal article
Language
en
Open access
Locations
  • Neuropsychopharmacology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Wellcome Trust
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
depression, cognitive biases, antidepressant mechanism, psychotherapy, neuroticism, treatment response prediction, depression prevention
MeSH terms
Antidepressive Agents, Cognition Disorders, Depressive Disorder, Humans, Predictive Value of Tests, Psychotherapy

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