Evidence map›Paper›PMID 42221344›Full record

ArticleBasic and clinical neuroscience2025

Structural MRI Biomarkers Related to Cognitive Recovery and Resistance to Recovery Using the Penalized Mixture Cure Model.

Vida Pahlevani, Farzad Eskanadri, Mostafa Almasi-Dooghaee, Ebrahim Hajizadeh

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Article in Basic and clinical neuroscience, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Vida PahlevaniDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0002-3065-6700
Farzad EskanadriDepartment of Statistics, Faculty of Statistics Mathematics and Computer, Allameh Tabataba'i University, Tehran, Iran.
Mostafa Almasi-DooghaeeDepartment of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-3244-1615
Ebrahim HajizadehDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0001-7863-4837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive trajectories in individuals with a baseline clinical dementia rating (CDR) score of 0.5 vary widely, ranging from recovery (stable reverse migration) to resistance to recovery. Identifying predictors of these trajectories is essential for targeted interventions. This study aimed to investigate baseline structural magnetic resonance imaging (MRI) features and clinical factors associated with the rate of recovery and the likelihood of resistance to it, using a penalized mixture cure model (MCM). Methods: Data from 185 individuals with a baseline CDR of 0.5 in the OASIS-3 database were analyzed. OASIS-3 is a retrospective compilation of data for 1378 participants that were collected across several ongoing projects through the WUSTL Knight ADRC over 30 years. Structural MRI features and clinical measures were assessed using the latency and incidence components of an MCM. The latency component evaluated factors influencing recovery rates, while the incidence component identified predictors of resistance. Results: The latency component revealed that increasing right rostral middle frontal thickness (hazard ratio [HR]=2.06) was linked to faster recovery, while right frontal pole thickness (HR=0.48) predicted slower recovery. The cure component identified left bankssts volume (odds ratio [OR]=2.21) as a key predictor of resistance, whereas left pars orbitalis thickness (OR=0.56) was protective. Notably, right supramarginal thickness was paradoxically associated with both faster recovery (HR=1.24) and increased resistance (OR=1.48), potentially acting as a proxy for both compensatory mechanisms and maladaptive changes. Conclusion: The MCM revealed complex, context-dependent roles of structural MRI features in recovery and resistance trajectories, with frontal and temporal regions pivotal to cognitive outcomes. These findings highlight the value of MCM in advancing personalized therapeutic strategies and understanding recovery dynamics.

Indexed as

Alzheimer disease (AD)Cognitive recovery Clinical dementia rating (CDR)Penalized mixture cure model (MCM)Structural magnetic resonance imaging (MRI)

Identifiers

PMID42221344
PMCPMC13219826

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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.