OSCR

Distinct and shared multimodal neuroimaging patterns in clinical frontotemporal dementia syndromes.

Overview

Authors: Irene Sintini1, Neha Singh-Reilly1, Farwa Ali2, Joseph R Duffy2, Heather M Clark2, Rene L Utianski2, Gabriela F Meade2, Mary M Machulda3, Ryota Satoh1, Dennis W Dickson4, Val J Lowe1, Keith A Josephs2, Jennifer L Whitwell1
  1. Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
  2. Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
  3. Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
  4. Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
Institutions: Mayo Clinic (United States); Mayo Clinic in Florida (United States)
Journal: Brain communications, volume 8, issue 5, article fcag341
Dates: received 5 November 2025; accepted 27 August 2026; published online 10 September 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1093/braincomms/fcag341 · PMID 42756560 · PMCID PMC13583894 · OpenAlex W7212191262
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), PET / SPECT (modality), human (organism), Alzheimer's / dementia (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing
Keywords: frontotemporal dementia, MRI, tau-PET, FDG-PET, principal component analysis
Topic: Dementia and Cognitive Impairment Research (Psychiatry and Mental health, Medicine), according to OpenAlex
Funding: National Institutes of Health (R01-NS89757, R01-DC010367, R21-NS94684, R01-DC14942, R01-DC12519, R01-AG50603); Dana Foundation
Citations: not cited yet (Europe PMC); 82 references in the paper

Abstract

Clinical syndromes of frontotemporal dementia present both distinct and overlapping neuroimaging abnormalities and, consequently, domains of impairment. The aim of this study was to determine how well covariance patterns from multiple neuroimaging modalities discriminate across clinical frontotemporal dementia syndromes. Four-hundred participants with a clinical frontotemporal dementia diagnosis, including behavioural variant of frontotemporal dementia, semantic variant of primary progressive aphasia, right temporal variant of frontotemporal dementia, primary progressive aphasia, apraxia of speech with agrammatic aphasia, primary progressive apraxia of speech, progressive supranuclear palsy and corticobasal syndrome, and 109 cognitively unimpaired participants underwent extensive neurological and neuropsychological assessments, structural magnetic resonance imaging (MRI), flortaucipir-PET for tau and [18F] fluorodeoxyglucose-PET. Multimodal imaging covariance was investigated at the voxel-level using principal component analysis after adjusting for age and sex effects. Linear regression models were fit to investigate the relationship between principal components and clinical scores. Multinomial logistic regression models were used to investigate the ability of imaging principal components to discriminate across syndromes. The first principal component, which describes the largest source of variability in the data, was a pattern of widespread cortical atrophy (21% variability explained) and of frontoparietal and temporal hypometabolism (21%): scores were lowest in the behavioural variant of frontotemporal dementia and correlated with general cognitive impairment. On tau-PET, the first principal component (43% of variability) did not significantly differ among syndromes and captured a widespread cortical tau uptake, with a focus on the temporal lobe. In all three modalities, the second principal component captured temporal lobe imaging abnormalities, contrasting the motor and semantic clinical syndromes. Subsequent components described smaller variability. In cross-validation, the classifiers based on principal components from MRI (multiclass area under the receiver operating characteristic: 0.76) and [18F]fluorodeoxyglucose-PET (0.79) outperformed tau-PET (0.71). In cross-validation, the sensitivity of the image-based classifiers was heterogeneous across syndromes and modalities, with the highest values for progressive supranuclear palsy and semantic variant of primary progressive aphasia and the lowest for primary progressive aphasia and corticobasal syndrome. Our study found that the covariance components of structural and molecular neuroimaging underlying frontotemporal dementia clinical syndromes exist both as a continuum and with syndrome-specific patterns. More than one imaging model was able to correctly classify several frontotemporal dementia clinical syndromes with good specificity and sensitivity, highlighting the value of imaging in aiding patient diagnosis.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data availability

Data and scripts (R, MATLAB) that support the findings of this study are available from the corresponding author upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 13 authors, 5 keywords, 2 funders, 77 references.

Cite

This paper

Sintini, I., Singh-Reilly, N., Ali, F., Duffy, J. R., Clark, H. M., Utianski, R. L., Meade, G. F., Machulda, M. M., Satoh, R., Dickson, D. W., Lowe, V. J., Josephs, K. A., & Whitwell, J. L. (2026). Distinct and shared multimodal neuroimaging patterns in clinical frontotemporal dementia syndromes. Brain communications, 8(5), fcag341. https://doi.org/10.1093/braincomms/fcag341

BibTeX

@article{sintini2026distinct,
author = {Sintini, Irene and Singh-Reilly, Neha and Ali, Farwa and Duffy, Joseph R and Clark, Heather M and Utianski, Rene L and Meade, Gabriela F and Machulda, Mary M and Satoh, Ryota and Dickson, Dennis W and Lowe, Val J and Josephs, Keith A and Whitwell, Jennifer L},
title = {{Distinct and shared multimodal neuroimaging patterns in clinical frontotemporal dementia syndromes}},
journal = {Brain communications},
year = {2026},
month = sep,
volume = {8},
number = {5},
pages = {fcag341},
publisher = {Oxford University Press},
issn = {2632-1297},
doi = {10.1093/braincomms/fcag341},
url = {https://doi.org/10.1093/braincomms/fcag341},
pmid = {42756560},
pmcid = {PMC13583894}
}

RIS

TY - JOUR
AU - Sintini, Irene
AU - Singh-Reilly, Neha
AU - Ali, Farwa
AU - Duffy, Joseph R
AU - Clark, Heather M
AU - Utianski, Rene L
AU - Meade, Gabriela F
AU - Machulda, Mary M
AU - Satoh, Ryota
AU - Dickson, Dennis W
AU - Lowe, Val J
AU - Josephs, Keith A
AU - Whitwell, Jennifer L
TI - Distinct and shared multimodal neuroimaging patterns in clinical frontotemporal dementia syndromes
T2 - Brain communications
J2 - Brain Commun
PY - 2026
DA - 2026/09/10
VL - 8
IS - 5
SP - fcag341
SN - 2632-1297
PB - Oxford University Press
DO - 10.1093/braincomms/fcag341
UR - https://doi.org/10.1093/braincomms/fcag341
LA - en
ER -

CSL-JSON

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