Evidence map›Paper›PMID 39813142›Full record

ArticleBrain : a journal of neurology2025

Anterior-temporal network hyperconnectivity is key to Alzheimer's disease: from ageing to dementia.

Léa Chauveau, Brigitte Landeau, Sophie Dautricourt, Anne-Laure Turpin, Marion Delarue, Oriane Hébert, Vincent de La Sayette, Gaël Chételat, Robin de Flores

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

9 authors.

Léa ChauveauU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.ORCID 0000-0001-5965-3194
Brigitte LandeauU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Sophie DautricourtU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Anne-Laure TurpinU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Marion DelarueU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Oriane HébertU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Vincent de La SayetteService de Neurologie, CHU de Caen, Caen 14000, France.
Gaël ChételatU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.
Robin de FloresU1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Neuropresage Team, INSERM, University of Caen Normandy, GIP Cyceron, Caen 14000, France.

Funding

Institut National de la Santé et de la Recherche MédicaleProgramme Hospitalier de Recherche Clinique PHRCN 2011-A01493-38Programme Hospitalier de Recherche Clinique PHRCN 2012 12-006-0347
6 · The paper itself

Abstract

Curing Alzheimer's disease remains hampered by an incomplete understanding of its pathophysiology and progression. Exploring dysfunction in medial temporal lobe networks, particularly the anterior-temporal (AT) and posterior-medial (PM) systems, might provide key insights, because these networks exhibit alterations in functional connectivity along the entire Alzheimer's continuum, potentially influencing disease propagation. However, the specific changes in each network and their clinical relevance across stages are not yet fully understood. This requires consideration of commonly used biomarkers, clinical progression, individual variability and age confounds. Here, we leveraged monocentric longitudinal data from 261 participants spanning the adult lifespan and the Alzheimer's continuum. The sample included cognitively unimpaired adults aged 19-85 years (n = 209; 8 of 64 older adults >60 years of age were amyloid-β-positive) and amyloid-β-positive patients fulfilling diagnostic criteria for mild cognitive impairment (MCI, n = 26; 18 progressed to Alzheimer-dementia within 7 years) or Alzheimer's-type dementia (n = 26). Participants underwent structural and resting-state functional MRI, florbetapir and 18F-fluorodeoxyglucose-PET and global cognitive assessments, with up to three visits over a maximum period of 47 months. Network connectivity was assessed using seed-based analyses with the perirhinal and parahippocampal cortices as seeds, within data-driven masks reflecting the AT and PM networks. Generalized additive and linear mixed models were run to assess age-specific effects and Alzheimer's-related alterations. In this context, we explored various markers of pathological and clinical severity, including cerebral amyloid uptake, glucose metabolism, hippocampal volume, global cognition, diagnostic staging and time to dementia onset. Our findings revealed distinct patterns of connectivity linked to normal ageing or Alzheimer's disease. Advancing age throughout adulthood was associated with lower PM connectivity and more subtle changes in AT connectivity, and Alzheimer's disease was characterized by AT hyperconnectivity without global changes in PM connectivity. Specifically, AT connectivity was higher in MCI and Alzheimer-dementia patients compared with older controls and was positively associated with amyloid burden, glucose hypometabolism, hippocampal atrophy and global cognitive deficits in older adults, ranging from unimpaired to demented. Additionally, higher AT connectivity was correlated with faster progression to Alzheimer-dementia in MCI patients. This comprehensive approach allowed us to reveal that excessive connectivity within the AT network is linked intrinsically to the pathological and clinical progression of Alzheimer's disease. These insights might guide future research to a better understanding of cascading events leading to the disease and hold promise for developing prognostic tools and therapeutic interventions targeting these specific network alterations.

Indexed as

AgingAlzheimer DiseaseNerve NetTemporal LobeAdultAgedAged, 80 and overAmyloid beta-PeptidesCognitive DysfunctionDisease ProgressionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedAmyloid beta-PeptidesagingAlzheimer’s diseaseanterior-temporal (AT)/posterior-medial (PM) systemsfunctional connectivitymedial temporal loberesting-state functional MRI

Identifiers

PMID39813142
PMCPMC12129740

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.