Evidence map›Paper›PMID 40919900›Full record

ArticleEuropean journal of neurology2025

Distinctive Progression Patterns of Brain Structural Damage Aid Classification of Frontotemporal Dementia Variants.

Edoardo Gioele Spinelli, Francesca Orlandi, Silvia Basaia, Francesco Costa, Stefano Pisano, Alma Ghirelli, Elisa Canu, Veronica Castelnovo, Elisa Sibilla, Giordano Cecchetti and 12 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

22 authors.

Edoardo Gioele SpinelliNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca OrlandiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Silvia BasaiaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco CostaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Stefano PisanoNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alma GhirelliNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Elisa CanuNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Veronica CastelnovoNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Elisa SibillaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giordano CecchettiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca CasoNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giuseppe MagnaniNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paola CaroppoUnit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.ORCID 0000-0003-4274-9004
Sara PrioniUnit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Cristina VillaUnit of Neurology 5-Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Lucio TremolizzoNeurology Unit, "San Gerardo" Hospital and University of Milano-Bicocca, Monza, Italy.
Ildebrando AppollonioNeurology Unit, "San Gerardo" Hospital and University of Milano-Bicocca, Monza, Italy.
Federico VerdeDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Nicola TicozziDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.ORCID 0000-0001-5963-7426
Vincenzo SilaniDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5485-0479
Federica AgostaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-3121-4979

Funding

European Research Council StG-2016_714388_NeuroTRACKFondation pour la Recherche sur AlzheimerMinistero dell'Università e della Ricerca Project Age-It: "Ageing Well in an Ageing Society"
6 · The paper itself

Abstract

backgroundFrontotemporal dementia (FTD) encompasses diverse clinical phenotypes, primarily characterized by behavioral and/or language dysfunction. A newly characterized variant, semantic behavioral variant FTD (sbvFTD), exhibits predominant right temporal atrophy with features bridging behavioral variant FTD (bvFTD) and semantic variant primary progressive aphasia (svPPA). This study investigates the longitudinal structural MRI correlates of these FTD variants, focusing on cortical and subcortical structural damage to aid differential diagnosis and prognosis.

methodsSeventy-one FTD patients (bvFTD = 45, sbvFTD = 11, svPPA = 15) and 37 healthy controls participated in a prospective study involving up to 24 months of serial neurological, neuropsychological, and 3 T MRI assessments. Cortical thickness and subcortical/cerebellar volumes were analyzed with linear mixed-effect models. Support vector machine (SVM) models were used to classify subjects using baseline and longitudinal patterns of structural damage.

resultsAt baseline, sbvFTD showed right-predominant temporal pole involvement associated with significant right frontal atrophy. Longitudinally, bvFTD showed widespread bilateral cortical and basal ganglia damage, svPPA demonstrated steady temporal lobe progression, and sbvFTD progressed primarily in left temporal and frontal regions with limited right hemisphere involvement. Baseline cortical thickness of frontal regions predicted subsequent functional decline in bvFTD and sbvFTD. A multiclass SVM model provided a good diagnostic classification accuracy, with similar results when using baseline data only (82%) and adding longitudinal data (83%).

conclusionsThis study delineates the unique structural MRI features and progression of FTD variants, highlighting sbvFTD as a distinct entity with early extra-temporal involvement. These findings support the development of diagnostic and prognostic tools leveraging neuroimaging biomarkers.

Indexed as

BrainFrontotemporal DementiaAgedAphasia, Primary ProgressiveAtrophyDisease ProgressionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesSupport Vector Machinefrontotemporal dementialongitudinal atrophy progressionneuroimagingprincipal component analysissupport vector machine

Identifiers

PMID40919900
PMCPMC12415986

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.