Evidence map›Paper›PMID 38765927›Full record

ArticlePsychiatry and clinical psychopharmacology2023

Mechanisms in Emotional Information Processing in Individuals with Major Depressive Disorder: An Event-Related Potential Study of an Information Processing Model.

Daniel Kwasi Ahorsu, Ken Ho Ming Chung, Ho Hon Wong, Michael Gar Chung Yiu, Yat Fung Mok, Ka Shun Lei, Hector Wing Hong Tsang

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Daniel Kwasi AhorsuDepartment of Rehabilitation Sciences, Neuropsychiatric Rehabilitation Laboratory, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0003-0530-8138
Ken Ho Ming ChungDepartment of Rehabilitation Sciences, Neuropsychiatric Rehabilitation Laboratory, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0001-5431-8004
Michael Gar Chung YiuORCID 0000-0002-9739-3212
Yat Fung MokDepartment of Rehabilitation Sciences, Neuropsychiatric Rehabilitation Laboratory, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0002-2252-904X
Ka Shun LeiDepartment of Rehabilitation Sciences, Neuropsychiatric Rehabilitation Laboratory, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0003-1165-7043
Hector Wing Hong TsangDepartment of Rehabilitation Sciences, Neuropsychiatric Rehabilitation Laboratory, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0003-3003-8598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individuals with major depressive disorder have a cognitive bias toward emotional stimuli, which influences the quality and speed of emotional information processing. This study aimed to understand the factors underlying this bias by identifying when it occurs during information processing using an information processing model. Methods: A total of 57 participants-19 each [ (16 (84.21%) females and 3 (15.79%) males per group)], for the first-episode MDD (FMDD), recurrent episodes MDD (RMDD), and healthy controls (HCs) - matched for sex and hand preference, completed event-related potentials (ERP) to perform psychological function and a choice response time task. Results: Results revealed that recurrent episodes major depressive disorder participants had decreased N2b and P3b amplitudes but increased contingent negative variation during the processing of happy and neutral facial stimuli, relative to their counterparts. Both recurrent episodes major depressive disorder and first-episode major depressive disorder participants used a parallel information processing strategy for happy information at P3a latency, while healthy controls used a linear information processing strategy. Conclusion: The use of a parallel processing strategy among individuals with major depressive disorder may have led to impaired "happy" information processes, possibly explaining why individuals with major depressive disorder are less efficient than healthy controls. The results suggest the possibility that biases related to the processing of "happy" information among individuals with major depressive disorder may be related to a tendency for these individuals to engage in superficial decision-making. Future research is needed to examine the processes contributing to people with major depressive disorder having challenges with inhibition-facilitation of emotional stimuli.

Identifiers

PMID38765927
PMCPMC11082572

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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.