Evidence map›Paper›PMID 40063407›Full record

ArticleAnnals of clinical and translational neurology2025

Clinical and Imaging Features of Sporadic and Genetic Frontotemporal Lobar Degeneration TDP-43 A and B.

Sean Coulborn, Rhiana Schafer, Ashlin R K Roy, Andrzej Sokolowski, Noah G Cryns, Dana Leichter, Argentina Lario Lago, Eliana Marisa Ramos, Yann Cobigo, Salvatore Spina and 8 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

18 authors.

Sean CoulbornMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.ORCID 0000-0001-8636-0864
Rhiana SchaferMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Ashlin R K RoyMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Andrzej SokolowskiMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Noah G CrynsMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Dana LeichterMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Argentina Lario LagoMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Eliana Marisa RamosDepartment of Neurology, University of California, Los Angeles, California, USA.
Yann CobigoMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Salvatore SpinaMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Lea T GrinbergMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Daniel H GeschwindDepartment of Neurology, University of California, Los Angeles, California, USA.
Maria L Gorno-TempiniMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Joel H KramerMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Howard J RosenMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
Bruce L MillerMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
William W SeeleyMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
David C PerryMemory and Aging Center, Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, California, USA.

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI ADAM L. BOXER, Bradley F Boeve · 2019 to 2026
$120.9M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Serggio Carlo Lanata · 2019 to 2026
$36.9M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS)U01AG045390 · NIA · MAYO CLINIC ROCHESTER · PI BOEVE, BRADLEY F, ROSEN, HOWARD J · 2014 to 2018
$16.9M
Progressive Aphasia Cognition Anatomy and ProgressionR01NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARIA LUISA GORNO TEMPINI · 2004 to 2026
$11.0M
Training - The Frontotemporal Lobar Degeneration Clinical Research ConsortiumU54NS092089 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2014 to 2018
$6.4M
Primary Progressive Aphasia: Cognition, Anatomy and ProgressionRF1NS050915 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORNO TEMPINI, MARIA LUISA · 2022 to 2022
$4.7M
Diagnostic and prognostic certainty in behavioral variant frontotemporal dementiaR01AG062758 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2020 to 2025
$4.0M
Reward processing in genetic frontotemporal dementia and mood disordersR01AG059794 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2019 to 2023
$4.0M
NCATS NIH HHS U54 NS092089NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS P50 AG023501NIA NIH HHS R01 AG059794NIA NIH HHS R01AG059794NIA NIH HHS R01 AG062758NIA NIH HHS U01 AG045390NIA NIH HHS U19 AG063911NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG21886NINDS NIH HHS R01 NS050915NINDS NIH HHS RF1 NS050915NINDS NIH HHS U54 NS092089
6 · The paper itself

Abstract

objectiveCertain frontotemporal lobar degeneration subtypes, including TDP-A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific. Our study sought to discern the similarities and differences between sporadic and genetic TDP-A and TDP-B.

methodsWe generated individual atrophy maps and extracted mean atrophy scores for regions of interest-frontotemporal, occipitoparietal, thalamus, and cerebellum-in 54 patients with FTLD-TDP types A or B. We calculated asymmetry as the absolute difference in atrophy between right and left frontotemporal regions, and dorsality as the difference in atrophy between dorsal and ventral frontotemporal regions. We used ANCOVAs adjusted for disease severity to compare atrophy extent or imbalance, neuropsychological tests, and behavioral measures.

resultsFor some regions, volumetric differences were found either between TDP subtypes (e.g., worse occipitoparietal and cerebellum atrophy in TDP-A than B), or within subtypes depending on genetic status (e.g., worse thalamic and occipitoparietal atrophy in C9orf72-associated TDP-B than sporadic TDP-B). While progranulin mutation-associated TDP-A and sporadic TDP-A cases can be strongly asymmetric, TDP-A and TDP-B associated with C9orf72 tended to be symmetric. TDP-A was more dorsal in atrophy than TDP-B, regardless of genetic status.

interpretationWhile some neuroimaging features are FTLD-TDP subtype-specific and do not significantly differ based on genotype, other features differ between sporadic and genetic forms within the same subtype and could decrease accuracy of classification algorithms that group genetic and sporadic cases.

Indexed as

DNA-Binding ProteinsFrontotemporal Lobar DegenerationAgedAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedDNA-Binding ProteinsTARDBP protein, humanc9orf72frontotemporal dementiafrontotemporal lobar degenerationprogranulin

Identifiers

PMID40063407
PMCPMC12093333

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