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Alzheimer's Association International Conference 2026

July 12-15, 2026 | London, United Kingdom, and Online

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7087

Frontotemporal Dementia: Does MRI-based Clustering Match Clinical Syndromes?

Part of Topic

Background: 

Frontotemporal dementia (FTD) is an umbrella term that encompasses several clinical syndromes with impaired behavioral, language, and motor functions. These syndromes show considerable overlap in clinical features and imaging patterns. Therefore, there is a need to investigate the syndromic heterogeneity in FTD using unbiased data-driven approaches.

Objectives: 

To determine whether structural magnetic resonance imaging (MRI) based clusters would capture the FTD clinical syndromes and determine how these clusters relate to clinical characteristics.

Methods:

We used data-driven clustering analysis of structural MRI data on 400 patients with clinical FTD diagnoses (behavioral variant of frontotemporal dementia (bvFTD), semantic variant of primary progressive aphasia (svPPA), right temporal variant of frontotemporal dementia (rtvFTD), apraxia of speech with agrammatic aphasia (AOS-PAA), primary progressive apraxia of speech (PPAOS), progressive supranuclear palsy (PSP), corticobasal syndrome (CBS) and primary progressive aphasia who did not fit into the other diagnostic categories (PPA-other)).
MR images were w-scored relative to cognitively unimpaired individuals, and principal component analysis was performed.
A clustering ensemble approach, including hierarchical algorithms, was applied to the MR-based principal components, and imaging and clinical characteristics of the clusters were investigated. Various numbers of clusters (K=2, 3, or 4) were evaluated.
 
Results: 

The K=3 solution offered the most clinically meaningful separation of FTD syndromes (Figure 1). The first cluster captured mostly frontal MRI abnormalities related to the speech, language and behavioral clinical dimensions, including patients with AOS-PAA, PPAOS, PPA-other, and bvFTD (Figure 2 and 3). The second cluster captured mostly temporal abnormalities and included mainly patients with svPPA and rtvFTD, but also bvFTD, AOS-PAA and PPA-other (Figure 2 and 3). The third cluster captured cortical and subcortical atrophy, particularly in the midbrain, and included atypical Parkinsonian syndromes, with all PSP and CBS patients captured in this cluster, as well as most PPAOS patients (Figure 2 and 3). Considerable overlap of clinical syndromes was noted across these clusters, whereby patients with AOS-PAA, svPPA, PPA-other, and bvFTD were captured in more than one cluster (Figure 4).

Conclusion: 

Our findings highlight heterogeneity in FTD, which mainly exists along three axes: speech, language and behavioral deficits reflecting frontal atrophy, language deficits reflecting temporal atrophy, and motor and motor speech deficits reflecting mostly midbrain and subcortical atrophy, with cortical involvement.

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