Evidence map›Paper›PMID 41087737›Full record

ArticleNpj mental health research2025

Prefrontal and parieto-occipital neural signatures of evidence accumulation and response to computerised Cognitive Behavioural Therapy in depression.

Filippo Queirazza, Marios G Philiastides

Abstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Filippo QueirazzaSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK. Filippo.Queirazza@glasgow.ac.uk.
Marios G PhiliastidesSchool of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.

Funding

Chief Scientist Office PN09CP214European Research Council 865003Medical Research Council PsySTAR
6 · The paper itself

Abstract

Computerised Cognitive Behavioural therapy (CBT) is an effective psychological intervention for mild to moderate depression. While CBT aims to correct maladaptive cognitive biases and ensuing disadvantageous decision-making, our current understanding of decision-making signatures linked to CBT response remains limited. Preliminary behavioural evidence has shown that the process of evidence accumulation (EA), indexing the efficiency of decision dynamics, is impaired in depression. However, little is known about the role of EA in the context of CBT for depression. In this study we recruited 37 (18 females) unmedicated depressed subjects. Participants attended two task-based functional resonance imaging sessions before and two months after completing an online self-help CBT-based intervention. We fitted a hybrid reinforcement learning drift diffusion model to the probabilistic reversal learning task data and investigated accumulator-like brain activity as a function of response to computerised CBT. We found that at baseline, compared to nonresponders, responders exhibited weaker left prefrontal and parieto-occipital EA neural signatures, which subsequently increased in proportion to the sustained symptomatic improvement observed following computerised CBT. We thus provide preliminary evidence that attenuated EA neural signatures in the left prefrontal and parieto-occipital cortical areas are associated with response to computerised CBT in depression. Crucially, the observed increase of accumulator-like brain activity following computerised CBT warrants further replication in future experimental work probing neurocomputational mechanisms of change in CBT.

Identifiers

PMID41087737
PMCPMC12521554

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.