Evidence map›Paper›PMID 38414202›Full record

ArticlePsychiatry and clinical neurosciences2024

Associations of conservatism and jumping to conclusions biases with aberrant salience and default mode network.

Jun Miyata, Akihiko Sasamoto, Takahiro Ezaki, Masanori Isobe, Takanori Kochiyama, Naoki Masuda, Yasuo Mori, Yuki Sakai, Nobukatsu Sawamoto, Shisei Tei and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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

14 authors at 8 institutions in 2 countries.

Jun MiyataDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-1803-1975
Akihiko SasamotoDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takahiro EzakiPRESTO, Japan Science and Technology Agency, Saitama, Japan.
Masanori IsobeDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takanori KochiyamaBrain Activity Imaging Center, ATR-Promotions, Kyoto, Japan.
Naoki MasudaDepartment of Mathematics, State University of New York at Buffalo, Buffalo, New York, USA.
Yasuo MoriDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0001-5366-4562
Yuki SakaiATR Brain Information Communication Research Laboratory Group, Kyoto, Japan.ORCID https://orcid.org/0000-0003-2475-8548
Nobukatsu SawamotoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shisei TeiDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-1739-9068
Shiho UbukataDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-2907-5757
Toshihiko AsoLaboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Toshiya MuraiDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hidehiko TakahashiDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JPAichi Medical University · JPImaging Center · USJapan Science and Technology Agency · JPResearch Organization of Information and Systems · JPRIKEN Center for Biosystems Dynamics Research · JPTokyo Medical and Dental University · JPUniversity at Buffalo, State University of New York · US

Funding

Japan Agency for Medical Research and Development JP18dm0307008Japan Agency for Medical Research and Development JP21uk1024002Japan Science and Technology Agency JPMJMS2021Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP17H04248Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP18H05130Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP19H03583Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP20H05064Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP20K21567Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP21K07544Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI JP26461767Kyoto UniversityNovartis Pharma Research GrantSENSHIN Medical Research FoundationTakeda Science FoundationUehara Memorial Foundation
6 · The paper itself

Abstract

aimWhile conservatism bias refers to the human need for more evidence for decision-making than rational thinking expects, the jumping to conclusions (JTC) bias refers to the need for less evidence among individuals with schizophrenia/delusion compared to healthy people. Although the hippocampus-midbrain-striatal aberrant salience system and the salience, default mode (DMN), and frontoparietal networks ("triple networks") are implicated in delusion/schizophrenia pathophysiology, the associations between conservatism/JTC and these systems/networks are unclear.

methodsThirty-seven patients with schizophrenia and 33 healthy controls performed the beads task, with large and small numbers of bead draws to decision (DTD) indicating conservatism and JTC, respectively. We performed independent component analysis (ICA) of resting functional magnetic resonance imaging (fMRI) data. For systems/networks above, we investigated interactions between diagnosis and DTD, and main effects of DTD. We similarly applied ICA to structural and diffusion MRI to explore the associations between DTD and gray/white matter.

resultsWe identified a significant main effect of DTD with functional connectivity between the striatum and DMN, which was negatively correlated with delusion severity in patients, indicating that the greater the anti-correlation between these networks, the stronger the JTC and delusion. We further observed the main effects of DTD on a gray matter network resembling the DMN, and a white matter network connecting the functional and gray matter networks (all P < 0.05, family-wise error [FWE] correction). Function and gray/white matter showed no significant interactions.

conclusionOur results support the novel association of conservatism and JTC biases with aberrant salience and default brain mode.

Indexed as

Decision MakingDefault Mode NetworkDelusionsMagnetic Resonance ImagingSchizophreniaAdultCorpus StriatumFemaleGray MatterHumansMaleMiddle AgedNerve NetWhite MatterYoung Adultdelusionenergy landscape analysismeta‐independent component analysisstructural covariance network analysisthresholded dual regression

Identifiers

PMID38414202
PMCPMC11488637
OpenAlexW4392236730

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.