Evidence map›Paper›PMID 41061936›Full record

ArticleNeuroImage2025

Functional transition rate of the default mode network is associated with self-reported resilience.

Chun-Wei Hsu, Shulan Hsieh, Wan-Rue Lin, Ya-Ting Chang, Yu-Shiang Su, Cheng-Ta Yang, Yun-Hsuan Chang, Sheng-Hsiang Lin, Joshua Oon Soo Goh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Chun-Wei HsuGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Shulan HsiehDepartment of Psychology, National Cheng Kung University, Tainan 701, Taiwan; Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan; Department of Public Health, National Cheng Kung University, Tainan 701, Taiwan.
Wan-Rue LinGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Ya-Ting ChangGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Yu-Shiang SuGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan.
Cheng-Ta YangDepartment of Psychology, National Cheng Kung University, Tainan 701, Taiwan; Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan; Department of Education and Humanities in Medicine, Taipei Medical University, Taipei 110, Taiwan.
Yun-Hsuan ChangDepartment of Psychology, National Cheng Kung University, Tainan 701, Taiwan; Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan.
Sheng-Hsiang LinDepartment of Public Health, National Cheng Kung University, Tainan 701, Taiwan; Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan; Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan.
Joshua Oon Soo GohGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100, Taiwan; Department of Psychology, National Taiwan University, Taipei 100, Taiwan; Neurobiology and Cognitive Science Center, National Taiwan University, Taipei 100, Taiwan; Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei 100, Taiwan. Electronic address: joshuagoh@ntu.edu.tw.

Funding

Influence of Culture on Learning and Decision Making with AgeR01AG061886 · NIA · BRANDEIS UNIVERSITY · PI GOH, JOSHUA, GUTCHESS, ANGELA · 2019 to 2023
$2.2M
NIA NIH HHS R01 AG061886
6 · The paper itself

Abstract

Dynamic variations of information in our environment constantly influence our thoughts, requiring the brain to regulate its internal state transitions to maintain stable psychological functioning. Presumably, effective regulation of brain state transitions - defined as changes from one functional state to another over time - reflects psychological resilience whereas failure to adapt can lead to mental health challenges. However, the specific relationship between these dynamic functional changes and psychological resilience remains unclear. We evaluated neurocomputational changes of the default mode network (DMN) using indices of its functional transitions based on conventional regional mean responses as well as multi-voxel state dynamics, and examined their associations with self-reported resilience in a sample of 336 young adults (171 males, 165 females). Smaller multi-voxel DMN functional state transitions were specifically associated with greater perceived self-resilience, particularly in individuals reporting lower external support. Smaller transitions of DMN regional mean responses were positively associated with more generic resilience measures, though this appeared less robust and potentially susceptible to confounds such as head motion and the size of DMN regions. Associations between resilience and functional state transitions was specific to the DMN, with only limited contributions observed from sensory and salience networks. Our findings reflect a basis for making neurocomputational linkages between brain functional dynamics and subjective experiences. Potential applications for interventions are present for enhancing mental adaptability by modulating DMN transitions, offering a promising index for evaluating intervention outcomes and informing resilience-based mental health strategies.

Indexed as

BrainDefault Mode NetworkNerve NetResilience, PsychologicalAdolescentAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleSelf ReportYoung AdultDefault mode networkFunctional state transitionsMental stateMulti-voxel analysisNeurocomputational dynamicsPsychological resilience

Identifiers

PMID41061936
PMCPMC13229582

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.