Evidence map›Paper›PMID 42714664›Full record

ArticleJournal of neurology2026

Discriminating behavioral variant frontotemporal dementia from Alzheimer's disease via the Frontal Assessment Battery.

Edoardo Nicolò Aiello, Elisa Canu, Veronica Castelnovo, Francesca Frisco, Beatrice Curti, Arianna Moreschi, Giulia De Luca, Elisa Sibilla, Fabiola Freri, Chiara Tripodi and 19 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

29 authors.

Edoardo Nicolò Aiello *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.ORCID http://orcid.org/0000-0001-8902-7733
Elisa Canu *Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. canu.elisa@hsr.it.ORCID http://orcid.org/0000-0001-5804-3378
Veronica CastelnovoNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca FriscoDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Beatrice CurtiDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Arianna MoreschiDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Giulia De LucaDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Elisa SibillaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Fabiola FreriNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara TripodiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandra BianchiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Bianca LamorgeseNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Anna GilioliNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Edoardo Gioele SpinelliNeuroimaging 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.
Antonia RattiLaboratory of Clinical Chemistry, Department of Laboratory Medicine, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Alessio MaranzanoDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Valerio PatissoDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Paola CaroppoNeurology 8-Dementias and Degenerative Diseases of CNS Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Sara PrioniClinical Neuropsychology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Cristina VillaNeurology 8-Dementias and Degenerative Diseases of CNS Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Lucio TremolizzoClinical Neuropsychology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Ildebrando AppollonioClinical Neuropsychology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Federico VerdeDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Vincenzo SilaniDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Nicola TicozziDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federica Agosta *Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Barbara Poletti *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.

Funding

European Research Council StG-2016_714388_NeuroTRACKNext Generation EU DM 1557 11.10.2022
6 · The paper itself

Abstract

backgroundThis study aimed to assess the ability of the frontal assessment battery (FAB) to differentiate Alzheimer's disease (AD) from behavioral variant frontotemporal dementia (bvFTD), as well as to test whether its discriminatory accuracy varies as a function of disease stage.

methodsThe present retrospective cohort included N = 595 participants-153 with biomarker-supported AD, 96 with probable bvFTD, and 346 healthy controls (HCs). All HCs scored within the normal range on the Montreal Cognitive Assessment. In patients, disease severity was staged according to Clinical Dementia Rating scores, retrospectively derived from the Mini-Mental State Examination. Receiver operating characteristic (ROC) analyses were performed to assess the ability of demographically adjusted FAB scores to differentiate both patient groups from HCs and AD from bvFTD patients, including severity-stratified analyses. Binary logistic regression models adjusted for age and sex examined the contribution of individual FAB subtests to diagnostic classification.

resultsThe FAB showed excellent accuracy in distinguishing patients from HCs. In contrast, its ability to differentiate AD from bvFTD was modest overall and depended on disease severity, with adequate discrimination emerging solely at moderate-to-severe stages. At the subtest level, Lexical fluency was the only subtests that significantly differentiated bvFTD from AD, particularly in patients at the MCI/questionable dementia and moderate-to-severe dementia stage. No significant differences emerged for the remaining subtests. DISCUSSION: The FAB is an excellent screening test for executive dysfunction in both bvFTD and AD, but its contribution to the differential diagnosis between these two conditions emerges only at moderate-to-severe stages.

Indexed as

Alzheimer DiseaseFrontotemporal DementiaNeuropsychological TestsAgedDiagnosis, DifferentialFemaleHumansMaleMental Status and Dementia TestsMiddle AgedRetrospective StudiesROC CurveSeverity of Illness IndexAlzheimer’s diseaseCognitive screeningFrontal assessment batteryFrontotemporal dementia

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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.