Evidence map›Paper›PMID 36893068›Full record

SynthesisThe international journal of neuropsychopharmacology2023

A Meta-Analysis of Neural Correlates of Reward Anticipation in Individuals at Clinical Risk for Schizophrenia.

Jianguang Zeng, Jiangnan Yan, Lantao You, Tingting Liao, Ya Luo, Bochao Cheng, Xun Yang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The international journal of neuropsychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. A Review of Potential Neuroimaging Biomarkers of Schizophrenia-Risk.Journal of psychiatry and brain science · 2023
    Article
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

7 authors.

Jianguang ZengSchool of Economics and Business Administration, Chongqing University, Chongqing, China.
Jiangnan YanSchool of Economics and Business Administration, Chongqing University, Chongqing, China.
Lantao YouSchool of Economics and Business Administration, Chongqing University, Chongqing, China.
Tingting LiaoSchool of Public Policy and Administration, Chongqing University, Chongqing, China.
Ya LuoDepartment of Psychiatry, State Key Lab of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.
Bochao ChengDepartment of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-9923-5509
Xun YangSchool of Public Policy and Administration, Chongqing University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAberrant striatal responses to reward anticipation have been observed in schizophrenia. However, it is unclear whether these dysfunctions predate the onset of psychosis and whether reward anticipation is impaired in individuals at clinical high risk for schizophrenia (CHR).

methodsTo examine the neural correlates of monetary anticipation in the prodromal phase of schizophrenia, we performed a whole-brain meta-analysis of 13 functional neuroimaging studies that compared reward anticipation signals between CHR individuals and healthy controls (HC). Three databases (PubMed, Web of Science, and ScienceDirect) were systematically searched from January 1, 2000, to May 1, 2022.

resultsThirteen whole-brain functional magnetic resonance imaging studies including 318 CHR individuals and 426 HC were identified through comprehensive literature searches. Relative to HC, CHR individuals showed increased brain responses in the medial prefrontal cortex and anterior cingulate cortex and decreased activation in the mesolimbic circuit, including the putamen, parahippocampal gyrus, insula, cerebellum, and supramarginal gyrus, during reward anticipation.

conclusionsOur findings in the CHR group confirmed the existence of abnormal motivational-related activation during reward anticipation, thus demonstrating the pathophysiological characteristics of the risk populations. These results have the potential to lead to the early identification and more accurate prediction of subsequent psychosis as well as a deeper understanding of the neurobiology of high-risk state of psychotic disorder.

Indexed as

SchizophreniaAnticipation, PsychologicalBrainHumansMagnetic Resonance ImagingRewardclinical high riskfMRImeta-analysisreward anticipationSchizophrenia

Identifiers

PMID36893068
PMCPMC10109154

What OpenQuestion holds

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Registered trials

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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.