Evidence map›Paper›PMID 42905272›Full record

ArticleJournal of neurology2026

Neurotransmitter-defined cerebral vulnerability patterns in frontotemporal lobar degeneration (FTLD).

Marlene Tahedl, Alison Toomey, Naser Mandal, Sarah Mangan, We Fong Siah, Ee Ling Tan, Orla Hardiman, Jana Kleinerova, Mary Clare McKenna, Siobhan Hutchinson and 2 more

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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.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Marlene TahedlComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Alison ToomeyComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Naser MandalComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Sarah ManganDepartment of Neurology, St James's Hospital, Dublin, Ireland.
We Fong SiahComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Ee Ling TanComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Orla HardimanComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Jana KleinerovaComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Mary Clare McKennaComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Siobhan HutchinsonDepartment of Neurology, St James's Hospital, Dublin, Ireland.
Jasmin LopeComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Peter BedeComputational Neuroimaging Group (CNG), School of Medicine, Trinity College Dublin, Dublin, Ireland. bedep@tcd.ie.

Funding

EU Joint Programme - Neurodegenerative Disease Research JPND - 2025 "Qual-Bulb-MND"Health Research Board HRB JPND-Cofund-2025-3Science Foundation Ireland SFI SP20/SP/8953
6 · The paper itself

Abstract

backgroundFrontotemporal dementia syndromes encompass a genetically, clinically and radiologically heterogeneous set of conditions with distinctive clinical and imaging characteristics. The main FTD phenotypes exhibit strikingly different disease burden patterns with a predilection to specific brain regions and relative sparing of others. The apparent selectivity of cerebral involvement in FTD has not been fully elucidated.

methodsA prospective neuroimaging study has been undertaken with a uniform imaging protocol to characterise atrophy patterns in ALS-FTD, behavioural variant FTD, nonfluent variant primary progressive aphasia, and semantic variant primary progressive aphasia and evaluate associations with physiological neurotransmitter receptor expression maps. Anatomical correlations between focal volume loss and a large panel of neurotransmitters were systematically evaluated and associations ranked.

resultsAssociations were noted with GABAergic, opioid, cannabinoid, microglial and acetylcholine systems in ALSFTD-C9NEG. Correlations were observed with opioid, glutaminergic, and synaptic vesicle glycoprotein 2A receptor populations in ALSFTD-C9POS. Atrophy in bvFTD showed predilection to serotonergic, glutaminergic, opioid, GABAergic and cannabinoid circuits. Volume loss in nfvPPA colocalised with GABAergic, opioid, microglial, serotonergic, cannabinoid, acetylcholine, glutaminergic and dopaminergic networks. A multitude of neurotransmitter populations are implicated in svPPA including opioid, serotonergic, GABAergic, dopaminergic, and microglial systems. DISCUSSION: The distinctive neuroimaging signatures of FTD phenotypes exhibit spatial associations with physiological neurotransmitter receptor density maps. The propensity of atrophy to specific brain regions in FTD subtypes may be defined by neurotransmitter populations. Our findings indirectly support the notion of neurotransmitter-system defined connectivity-based disease propagation in FTD.

Indexed as

BrainFrontotemporal Lobar DegenerationNeurotransmitter AgentsAgedAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesNeurotransmitter AgentsALSAmyotrophic lateral sclerosisFrontotemporal dementiaFTDMRINeuroimagingNeurotransmitter systemsSpatial correlations

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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.