Evidence map›Paper›PMID 40567889›Full record

ArticleNeuroimage. Reports2025

Brain topology and cognitive outcomes after cardiac arrest: A graph theoretical analysis of fMRI data.

Marlous M L H Verhulst, Puck Lange, Anil Man Tuladhar, Prejaas Tewarie, Pauline C W van Gils, Caroline van Heugten, Judith Bonnes, Thijs Delnoij, Rick Helmich, Jeannette Hofmeijer

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Article in Neuroimage. Reports, 2025. 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

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Marlous M L H VerhulstClinical Neurophysiology, TechMed Centre, University of Twente, Enschede, the Netherlands.
Puck LangeClinical Neurophysiology, TechMed Centre, University of Twente, Enschede, the Netherlands.
Anil Man TuladharDepartment of Neurology, Radboudumc, Nijmegen, the Netherlands.
Prejaas TewarieClinical Neurophysiology, TechMed Centre, University of Twente, Enschede, the Netherlands.
Pauline C W van GilsClinical Neurophysiology, TechMed Centre, University of Twente, Enschede, the Netherlands.
Caroline van HeugtenLimburg Brain Injury Center, Maastricht University, Maastricht, the Netherlands.
Judith BonnesDepartment of Cardiology, Radboudumc, Nijmegen, the Netherlands.
Thijs DelnoijDepartment of Cardiology, Maastricht UMC+, Maastricht, the Netherlands.
Rick HelmichDepartment of Neurology, Radboudumc, Nijmegen, the Netherlands.
Jeannette HofmeijerClinical Neurophysiology, TechMed Centre, University of Twente, Enschede, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Half of all cardiac arrest patients experience long-term cognitive impairment. Identifying patients at risk is challenging and underlying mechanisms are incompletely understood. Since postanoxic encephalopathy is diffuse, measures of global network organization might contribute to identifying these patients at risk. We studied MRI-based whole-brain and subnetwork topology in relation to short- and long-term cognitive outcomes after cardiac arrest. Methods: We performed a multicenter prospective cohort study in cardiac arrest survivors. Patients underwent resting-state functional MRI during hospitalization (within one month after cardiac arrest). We analyzed 264 regions of interest using Power's atlas, extracting mean timeseries and calculating pairwise connectivity with Pearson's correlation. Overall functional connectivity, global efficiency, clustering coefficient, and modularity were calculated for the whole brain and five subnetworks. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) during hospitalization, at three, and twelve months, and using neuropsychological examination at twelve months. Mixed effects models were used to examine relationships between topology measures and cognitive outcomes. We corrected for multiple testing. Results: We included 80 patients (age 60 ± 11 years, 70 (90%) male). Our analyses showed consistent relations between various topology measures of the sensory/somatomotor network (SSN) and MoCA score during hospitalization and memory, attention, and executive functioning at twelve months follow up. After correction for multiple testing, we found no statistically significant relations between whole-brain and subnetwork graph measures and cognitive outcomes. Conclusion: Early whole brain functional topology was not related to short- or long-term cognitive outcome after cardiac arrest in this analysis. Potential relations between SSN topology and cognitive outcome point towards spatial heterogeneity of postanoxic encephalopathy. Possible predictive values of SSN structure or function need further investigation.

Indexed as

brain topologyCardiac arrestCognitionFunctional magnetic resonance imagingGraph theoryResuscitation

Identifiers

PMID40567889
PMCPMC12172698

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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.