Evidence map›Paper›PMID 41319328›Full record

ArticleEuropean journal of neurology2025

MRI-DTI Biomarkers Along the Continuum of Behavioral Variant Frontotemporal Dementia.

Marco Michelutti, Hans-Jürgen Huppertz, Sarah Anderl-Straub, Heiko Volkmann, Daniele Urso, Benedetta Tafuri, Salvatore Nigro, Paolo Manganotti, Angela Rosenbohm, Albert C Ludolph and 4 more

Abstract read
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Depression and apathy in frontotemporal dementia: a short assessment of facts and outlook.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Marco MicheluttiNeurology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.ORCID 0009-0009-4308-8456
Hans-Jürgen HuppertzSwiss Epilepsy Clinic, Klinik Lengg, Zürich, Switzerland.
Sarah Anderl-StraubDepartment of Neurology, University Hospital Ulm, Ulm, Germany.
Heiko VolkmannDepartment of Neurology, University Hospital Ulm, Ulm, Germany.
Daniele UrsoCenter for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Tricase, Italy.ORCID 0000-0002-4503-0110
Benedetta TafuriCenter for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Tricase, Italy.
Salvatore NigroCenter for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Tricase, Italy.
Paolo ManganottiNeurology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
Angela RosenbohmDepartment of Neurology, University Hospital Ulm, Ulm, Germany.ORCID 0000-0001-9700-0338
Albert C LudolphDepartment of Neurology, University Hospital Ulm, Ulm, Germany.
Markus OttoDepartment of Neurology, University Hospital Halle, Martin Luther University, Halle (Saale), Germany.
Giancarlo LogroscinoCenter for Neurodegenerative Diseases and the Aging Brain, University of Bari Aldo Moro at Pia Fondazione "Card. G. Panico", Tricase, Italy.ORCID 0000-0003-0423-3242
Hans-Peter MüllerDepartment of Neurology, University Hospital Ulm, Ulm, Germany.ORCID 0000-0001-5706-9381
Jan KassubekDepartment of Neurology, University Hospital Ulm, Ulm, Germany.ORCID 0000-0002-7106-9270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated whether diffusion tensor imaging (DTI) and atlas-based volumetry (ABV) could track specific patterns of brain white matter (WM) microstructure and gray matter (GM) volumes in behavioral variant frontotemporal dementia (bvFTD) and amyotrophic lateral sclerosis with frontotemporal dementia (ALS-FTD).

methodsMRI datasets from 65 bvFTD (including 19 with longitudinal MRI), 18ALS-FTD, and 39 controls were analyzed. White matter fractional anisotropy (FA) differences were assessed using unbiased Whole Brain-based Spatial Statistics (WBSS) and a hypothesis-driven complementary approach consisting of Tract-Wise FA Statistics (TFAS) in Tracts of Interest (TOIs) and ABV in Structures of Interest (SOIs). FA maps were correlated with disease severity (FTLD-CDR sum of boxes). A random forest algorithm classified participants employing TOI and SOI data.

resultsAt baseline, both bvFTD and ALS-FTD exhibited WM changes in several tracts including the uncinate fasciculi, tracts originating in the corpus callosum, and the inferior and superior longitudinal fasciculi. Atrophy was most pronounced in the frontal lobes and caudate nuclei. Longitudinally, bvFTD demonstrated an antero-posterior spread of WM degeneration, particularly along the corpus callosum and inferior longitudinal fasciculus, with relatively modest cortical atrophy progression. Random forest analysis identified the most discriminative TOIs and SOIs including the uncinate fasciculus and the amygdala.

conclusionsOur findings demonstrate a similar pattern of structural and microstructural changes in bvFTD and ALS-FTD, with a specific involvement of the corticospinal tract for ALS-FTD, and support the utility of combined DTI and ABV in tracking disease progression across the FTLD spectrum.

Indexed as

Amyotrophic Lateral SclerosisBrainDiffusion Tensor ImagingFrontotemporal DementiaGray MatterWhite MatterAgedAtrophyBiomarkersFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedBiomarkersABVALS‐FTDbvFTDDTIlongitudinal analysis

Identifiers

PMID41319328
PMCPMC12665338

What OpenQuestion holds

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Registered trials

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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.