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Record W7117255203 · doi:10.1002/alz70857_103987

Genetic and Pathological Characteristics of Frontotemporal Dementia with Right Anterior Temporal Predominance: A Multicenter Retrospective Cohort Study

2025· article· en· W7117255203 on OpenAlexaff
Hülya Ulugut, Kyan Younes, Maxime Bertoux, Maxime Montembeault, Giorgio Fumagalli, Alma Ghirelli, Edoardo G. Spinelli, Na‐Yeon Jung, Bedia Samancı, Ignacio Illán‐Gala, J. C. Thompson, Alexander Santillo, Elisabet Englund, Maria Landqvist Waldö, Lina Riedl, Jan Van den Stock, Mathieu Vandenbulcke, Rik Vandenberghe, Robert Laforce, Simon Ducharme, Peter Pressman, Carmela M. Tartaglia, Leonardo Cruz de Souza, Leonel Tadao Takada, Alexandre Morin, Matthias L Schroeter, Eun‐Joo Kim, So Young Moon, Federica Agosta, Elisa Canu, Massimo Filippi, Hakan Gürvit, Janine Diehl‐Schmid, Daniela Galimberti, Thibaud Lebouvier, Bruce L. Miller, Virginia E. Sturm, Toji Miyagawa, Jennifer L. Whitwell, Brad F Boeve, Jonathan D. Rohrer, Maria Luisa Gorno Tempini, Keith A. Josephs, Julie S. Snowden, Jason D. Warren, Katherine Rankin, Yolande A.L. Pijnenburg, International rtvFTD Working Group

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of TorontoMontreal Neurological Institute and HospitalKidney Foundation of CanadaMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsRetrospective cohort studySubtypingPathologicalFrontotemporal dementiaAtrophyCohort studyCohortDementiaGenetic syndromes

Abstract

fetched live from OpenAlex

BACKGROUND: Frontotemporal dementia (FTD) with right anterior temporal lobe (RATL) predominant atrophy is an emerging area of interest. Recent findings by the International Working Group (IWG) have identified this subtype as having a distinct clinical profile within the FTD spectrum (Ulugut et al., 2024, A&D). However, its genetic and pathological underpinnings remain unexplored in large, multicultural cohorts. METHODS: Retrospective analyses encompassing clinical, genetic, pathological, and neuroimaging data from 23 IWG sites across 13 countries in Asia, Middle East, Europe, North and South America were conducted. The study included 444 patients with FTD exhibiting predominant RATL atrophy. RESULTS: Genetic screening was performed on 51% (n = 225) of the cohort for at least the major frontotemporal lobar degeneration (FTLD) mutations including microtubule-associated protein tau (MAPT), progranulin (GRN), and chromosome 9 open reading frame 72 (C9orf72), or dementia panels encompassing extended sets of genes. Of these, 81% were sporadic, showing negative results for the screened genes and a modified Goldman Score of ≥ 3, indicating a negative family history for dementia. The MAPT mutation was the most common genetic variant, identified in 7% of the screened cases (Figure 1). Pathological confirmation was available for 63 patients. Among the sporadic cases, transactive response DNA-binding protein 43 type C (TDP-C) pathology was most prevalent (60%, n = 32), while tau-MAPT pathology was most common in the genetic cases (38%, n = 16). Fifteen cases did not fit neatly into genetic or sporadic categories, displaying heterogeneous pathologies (Figure 2). At the initial visit, compared to genetic cases, patients with TDP-C pathology were older, and more frequently exhibited semantic deficits, with less frequent attention difficulties and executive dysfunction. No differences were observed in sex distribution, symptom duration or disease severity between genetic and sporadic TDP-C cases. However, left handedness was more common in TDP-C cases (14%) compared to genetic cases (5%). CONCLUSION: While FTD with RATL atrophy primarily appears sporadic, a significant proportion of cases exhibit genetic variants. These sporadic and genetic subtypes display distinct neuropathological features and clinical manifestations. Given the implications for therapeutic strategies, precise clinical and molecular subtyping is critical for enhancing patient management and ensuring appropriate enrollment in clinical trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.280
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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