CSF turnover dysfunction: a hidden early biomarker in iRBD?

Stephan Grimaldi, Kavita Singh, María Guadalupe García-Gomar, Subhranil Koley, Firdaus Fabrice Hannanu, Ambra Stefani, Berkin Bilgic, Aleksandar Videnovic, Marta Bianciardi

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Article in NPJ Parkinson's disease, 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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0citing papers 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

The trial behind it

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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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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.

Stephan GrimaldiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. stephan.grimaldi@ap-hm.fr.

Kavita SinghAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

María Guadalupe García-GomarAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Subhranil KoleyAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Firdaus Fabrice HannanuAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Ambra StefaniAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Aleksandar VidenovicDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Marta BianciardiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. MARTAB@mgh.harvard.edu.

Funding

Brainstem-based imaging biomarkers of premanifest synucleinopathyR01AG063982 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BIANCIARDI, MARTA · 2020 to 2024

$3.6M

NIA NIH HHS R01 AG063982

6 · The paper itself

Abstract

Evidence in Alzheimer's disease and other dementias shows that changes in cerebrospinal fluid (CSF) turnover and perivascular spaces (PVS) volume are associated with disease progression through impairment of waste-clearance glymphatic pathways. Volume of CSF, PVS, and drainage structures such as venous sinus are mostly excluded in current MRI studies of premanifest synucleinopathy. Here, we used 7 Tesla MRI to investigate whether modifications in CSF, PVS, and venous sinus volumes occur in 18 prodromal synucleinopathy patients (namely isolated rapid-eye-movement sleep behavior disorder, iRBD) compared to 20 healthy young and 18 elderly controls. Our results demonstrated increased CSF and PVS volumes in iRBD without a matching increase in drainage venous structures, as observed in elderly controls. This suggests increased CSF and PVS fluid stasis, possibly due to impaired CSF filtration, a mechanism that could reduce glymphatic function and exacerbate the neurodegenerative process in iRBD.

Identifiers

PMID42386783

DOI10.1038/s41531-026-01444-2

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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.