Evidence map›Paper›PMID 21976044›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2012

Cognitive mechanisms of treatment in depression.

Jonathan P Roiser, Rebecca Elliott, Barbara J Sahakian

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03688048 (Can Non-drug Antidepressant Treatments Influence the Way the Human Brain Processes Information?), which is not on this map. Cited by 248 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
248citing papers in PubMed, 7 pooled it
–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.

NCT03688048 nacompletednot on this mapstarted 2017, after this paper: background citation

Can Non-drug Antidepressant Treatments Influence the Way the Human Brain Processes Information?

TypeinterventionalSponsorUniversity of OxfordRan2017 to 2018Enrolled50ConditionsBright Light Treatment, Emotion, Facial Expression RecognitionArmsBright light treatment lamp, Sham negative ion generator
3 · Its place in the literature

Who cites it

248 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  14. 5-HTBiological psychiatry. Cognitive neuroscience and neuroimaging · 2023
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  18. Chronic escitalopram in healthy volunteers has specific effects on reinforcement sensitivity: a double-blind, placebo-controlled semi-randomised study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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188 more citing papers are in PubMed but not listed here.

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.

Jonathan P RoiserUCL Institute of Cognitive Neuroscience, London, UK. j.roiser@ucl.ac.uk
Rebecca Elliott
Barbara J Sahakian

Funding

Medical Research Council G0901275
6 · The paper itself

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.

Indexed as

Antidepressive AgentsCognition DisordersDepressive DisorderHumansPredictive Value of TestsPsychotherapyAntidepressive Agents

Identifiers

PMID21976044
PMCPMC3238070

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.