Article

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment

2026-07-23

Abstract excerpt

<h4>BACKGROUND</h4> Genetic frontotemporal dementia (FTD) shows large differences in symptom profiles, brain atrophy patterns, and progression rate, making clinical trials difficult to design and power. There is a need for biomarkers that can model disease progression, identify biologically distinct groups, and support efficient trial enrichment. <h4>METHODS</h4> We applied contrastive trajectory inference (cTI)...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 84d388a7-838d-5363-8f6b-adf9cc6d233c
DOI: 10.64898/2026.07.22.740145

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichmentDOI 10.64898/2026.07.22.740145Read

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage InferenceSemantic proximity Read

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage InferenceSemantic proximity Read

Temporal order of clinical and biomarker changes in familial frontotemporal dementia.Semantic proximity Read

Blood and Brain Gene Expression Trajectories Underlying Neuropathology and Cognitive Impairment in NeurodegenerationSemantic proximity Read

Characterizing the Clinical Features and Atrophy Patterns of MAPT-Related Frontotemporal Dementia With Disease Progression Modeling.Semantic proximity Read

MRI-based classifier to identify close-to-onset cases in <i>C9orf72</i> genetic frontotemporal dementiaSemantic proximity Read

Stratifying the Presymptomatic Phase of Genetic Frontotemporal Dementia by Serum NfL and pNfH : A Longitudinal Multicentre StudySemantic proximity Read

Longitudinal Cognitive Changes in Genetic Frontotemporal Dementia Within the GENFI Cohort.Semantic proximity Read

Machine Learning-Based Multiclass Classification of Cognitive Stages Using Plasma Biomarkers, Clinical Assessments, and Genetic Features: A Repeated Nested Cross-Validation Study in ADNI with External Validation in CNTNSemantic proximity Read

Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrumSemantic proximity Read

Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia.Semantic proximity Read

A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia.Semantic proximity Read