Evidence map›Paper›PMID 40098158›Full record

ArticleAlzheimer's research & therapy2025

Perivascular space and white matter hyperintensities in Alzheimer's disease: associations with disease progression and cognitive function.

Philine Marie Schirge, Robert Perneczky, Toshiaki Taoka, Adriana L Ruiz-Rizzo, Ersin Ersoezlue, Robert Forbrig, Selim Guersel, Carolin Kurz, Matthias Brendel, Julian Hellmann-Regen and 17 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The glymphatic system and Parkinson's disease: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  10. Article
  11. Article
  12. Review
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  14. White matterAlzheimer's research & therapy · 2026
    Article
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  17. The value of machine learning models in differentiating alzheimer's disease from Moderate-to-Severe cerebral small vessel disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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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

27 authors.

Philine Marie Schirge *Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany.
Robert Perneczky *Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany.
Toshiaki TaokaDepartment of Innovative Biomedical Visualization (iBMV), Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Adriana L Ruiz-RizzoDepartment of Neurology, Jena University Hospital, Jena, Germany.
Ersin ErsoezlueGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Robert ForbrigInstitute of Neuroradiology, LMU Hospital, LMU Munich, Munich, Germany.
Selim GuerselDepartment of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany.
Carolin KurzDepartment of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany.
Matthias BrendelMunich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Julian Hellmann-RegenGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Josef PrillerGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Anja SchneiderGerman Center for Neurodegenerative Diseases (DZNE)Venusberg-Campus, Bonn, Germany.
Frank JessenGerman Center for Neurodegenerative Diseases (DZNE)Venusberg-Campus, Bonn, Germany.
Emrah DüzelGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Katharina BuergerGerman Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.
Stefan TeipelGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Christoph LaskeGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Oliver PetersGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Eike SpruthGerman Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.
Klaus FliessbachGerman Center for Neurodegenerative Diseases (DZNE)Venusberg-Campus, Bonn, Germany.
Ayda RostamzadehDepartment of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924, Cologne, Germany.
Wenzel GlanzGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Daniel JanowitzInstitute for Stroke and Dementia Research (ISD), Ludwig Maximilian University Hospital, Ludwig Maximilian University, Munich, Germany.
Ingo KilimannGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Sebastian SodenkampGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Michael EwersGerman Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.
Boris-Stephan RauchmannInstitute of Neuroradiology, LMU Hospital, LMU Munich, Munich, Germany. boris.rauchmann@med.uni-muenchen.de.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the leading cause of dementia, characterized by the accumulation of amyloid-beta (Aβ) and neurofibrillary tangles. Recent studies emphasize the role of vascular factors, including the glymphatic system, in AD pathogenesis, particularly in Aβ clearance. The diffusion tensor image analysis along the perivascular space (DTI-ALPS; ALPS-Index) has emerged as a novel, non-invasive method to evaluate the glymphatic system in vivo, showing glymphatic insufficiency in AD. This study aimed to investigate alterations in the function of the glymphatic system in individuals with AD versus healthy controls (HC), and to explore its association with Aβ, cerebrovascular disease (CVD), white matter hyperintensities (WMH), and cognitive function.

methodsDTI MRI data from three independent study cohorts (ActiGliA: AD n = 16, Controls n = 18; DELCODE: AD n = 54, Controls n = 67; ADNI: AD n = 43, Controls n = 49) were used to evaluate the perivascular space (PVS) integrity; a potential biomarker for glymphatic activity. The DTI-Along the Perivascular Space technique was used to measure water diffusion along PVS providing an index to assess the efficiency of the glymphatic system's waste clearance function. WMH load was quantified in FLAIR MRI using the lesion segmentation tool. We quantified WMHs volume within our defined region of interest (ROI) and excluded participants with any WMHs to avoid confounding the ALPS-Index. Associations with cerebrospinal fluid (CSF) AD hallmark biomarkers, cognitive performance (MMSE) and clinical severity (CDR) were assessed.

resultsAD patients had a significantly lower ALPS-Index vs. healthy controls (ActiGliA: AD: mean = 1.22, SD = 0.12; Controls: mean = 1.36, SD = 0.14, p = 0.004; DELCODE: AD: mean = 1.26, SD = 0.18; Controls: mean = 1.34, SD = 0.2, p = 0.035; ADNI: AD: mean = 1.08, SD = 0.24; Controls: mean = 1.19, SD = 0.13, p = 0.008). The ALPS-Index was associated with CSF Aβ concentration, WMH number and MMSE and CDR. WMH, found in the ROIs correlated negatively with the ALPS-Index.

conclusionsThis study highlights the potential of the DTI-ALPS-Index as a biomarker for glymphatic dysfunction in AD. It underscores the importance of considering vascular factors and the glymphatic system in the pathogenesis and diagnosis of AD as WMHs in the ROI could cause disturbances and inaccurate indices.

Indexed as

Alzheimer DiseaseCognitionGlymphatic SystemWhite MatterAgedAged, 80 and overAmyloid beta-PeptidesDiffusion Tensor ImagingDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedAmyloid beta-PeptidesAlzheimer's diseaseAmyloid-betaCognitive declineDementiaDiffusion tensor imagingPerivascular space

Identifiers

PMID40098158
PMCPMC11917016

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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.