Evidence map›Paper›PMID 40502594›Full record

ArticlemedRxiv : the preprint server for health sciences2025

The neural basis of frontotemporal dementia (FTD): insights from ALE meta-analyses of four FTD subtypes encompassing 8,057 patients.

Zlatomira G Ilchovska, Justine Lockwood, Elizabeth Proctor, Akram Hosseini, Matthew A Lambon Ralph, JeYoung Jung

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Zlatomira G IlchovskaSchool of Psychology, University of Nottingham, Nottingham, UK.
Justine LockwoodSchool of Psychology, University of Nottingham, Nottingham, UK.
Elizabeth ProctorSchool of Psychology, University of Nottingham, Nottingham, UK.
Akram HosseiniDivision of Clinical Neuroscience, University of Nottingham, Nottingham, UK.
Matthew A Lambon RalphMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
JeYoung JungSchool of Psychology, University of Nottingham, Nottingham, UK.ORCID 0000-0003-3739-7331

Funding

SARS-CoV-2 and Precursors of Alzheimer's Disease and Related Dementias: An Ultrahigh Field (7T) MRI Study in a Diverse Multinational CohortR56AG074467 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GIRARD, TIMOTHY D, HOSSEINI, AKRAM A. · 2021 to 2021
$3.5M
NIA NIH HHS R56 AG074467
6 · The paper itself

Abstract

Frontotemporal dementia (FTD) is a complex neurodegenerative syndrome primarily affecting the frontal and temporal lobes, resulting in deficits in behaviour, executive function, and language. As the leading cause of early-onset dementia, FTD includes several subtypes, notably behavioural variant FTD (bvFTD) and primary progressive aphasia (PPA). PPA is further subdivided into three main variants: non-fluent variant PPA (nfvPPA), semantic variant PPA (svPPA)/semantic dementia (SD), and logopenic variant PPA (lvPPA), each characterised by distinct language and cognitive impairments. However, despite these clinical distinctions, increasing evidence suggests overlapping behavioural symptoms and neural abnormalities across FTD syndromes, challenging the traditional view of them as mutually exclusive. To explore the neural basis of FTD, we conducted an activation likelihood estimation meta-analysis, synthesising data from structural and functional neuroimaging studies across four major FTD subtypes. Our analysis included coordinate-based data from 114 studies comprising 8,057 FTD patients. Results revealed widespread brain abnormalities in FTD compared to healthy controls, encompassing the frontal, temporal, and parietal lobes, as well as subcortical and limbic regions such as the basal ganglia and thalamus. This widespread degeneration aligns with the broad spectrum of cognitive and behavioural symptoms seen in FTD. Each FTD subtype demonstrated distinct, yet partially overlapping, patterns of degeneration. BvFTD showed prominent degeneration in the frontal and medial temporal lobes, insula, cingulate cortex, and limbic system, consistent with impairments in social cognition and disinhibition. SvPPA/SD exhibited focal atrophy in the anterior temporal lobes, disrupting the semantic network and impairing semantic processing. NfvPPA was associated with degeneration in the speech production network, particularly the insula and inferior frontal gyrus. LvPPA displayed left-lateralised abnormalities in the posterior temporal and inferior parietal lobes, affecting language function. Additionally, FTD subtypes exhibited overlapping patterns of degeneration, contributing to shared cognitive and language deficits. For example, svPPA/SD and bvFTD both showed degeneration in the anterior temporal lobe and amygdala, linked to socio-emotional impairments. BvFTD and nfvPPA shared degeneration in the left frontal cortex and insula, suggesting common executive dysfunction. Similarly, lvPPA and svPPA/SD both showed abnormalities in the left lateral temporal lobe, linking these regions to semantic cognition deficits observed in both variants. These findings highlight the mixture of clinical heterogeneity of each FTD subtype as well as their overlapping features. This study offers new insights into the neural bases of recent proposals that FTD spans a transdiagnostic multidimensional phenotype-geometry and may aid in refining diagnostic criteria and developing targeted interventions for this group of neurodegenerative disorders.

Indexed as

behavioural variant FTDfrontotemporal dementia (FTD)logopenic variant PPA (lvPPA)meta-analysisnonfluent variant PPAprimary progressive aphasia (PPA)semantic dementia (SD)

Identifiers

PMID40502594
PMCPMC12155040

What OpenQuestion holds

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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 OpenQuestion graph.