Evidence map›Paper›PMID 42712147›Full record

ReviewEuropean journal of neurology2026

Harmonized Acquisition of Connectome MRI and Clinical Data for Stroke, Parkinson's Disease and Glioma: Delphi-Derived Protocol Recommendations by the European Academy of Neurology.

Thomas Berger, Lorenzo Pini, Alessandro Salvalaggio, Simone Cauzzo, Christine Klein, Maria Lolich, Alberto Picca, Dauren Ramankulov, Maria A Rocca, Roberta Rudà and 8 more

Abstract readReview
In one paragraph

Review in European 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Thomas BergerDepartment of Neurology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-5626-1144
Lorenzo PiniDepartment of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-9305-3376
Alessandro SalvalaggioDepartment of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-1273-7566
Simone CauzzoNeurodegenerative Disease Unit, Centre for Rare Neurological Diseases (ERN-RND), Department of Neuroscience, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-9237-5269
Christine KleinInstitute of Neurogenetics, University of Luebeck and University Hospital of Schleswig-Holstein, Campus Luebeck, Luebeck, Germany.
Maria LolichEuropean Academy of Neurology, Vienna, Austria.ORCID https://orcid.org/0000-0002-7501-3768
Alberto PiccaNeuro-Oncology Department, DMU Neurosciences, GH Pitié-Salpêtrière, AP-HP, and Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, ICM-Paris Brain Institute, Paris, France.ORCID https://orcid.org/0000-0001-7807-5393
Dauren RamankulovEuropean Academy of Neurology, Vienna, Austria.
Maria A RoccaVita-Salute San Raffaele University, Milan, Italy.ORCID https://orcid.org/0000-0003-2358-4320
Roberta RudàEuropean Academy of Neurology, Vienna, Austria.
Alessandro SoderoIRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.ORCID https://orcid.org/0000-0003-4356-6912
Alessandro TessitoreDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID https://orcid.org/0000-0002-2913-6548
Thomas TruelsenDepartment of Neurology, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-6648-7761
Roland WiestSupport Center for Advanced Neuroimaging, Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, Bern, Switzerland.ORCID https://orcid.org/0000-0001-7030-2045
Gereon R FinkEuropean Academy of Neurology, Vienna, Austria.ORCID https://orcid.org/0000-0002-8230-1856
Elena MoroEuropean Academy of Neurology, Vienna, Austria.ORCID https://orcid.org/0000-0002-7968-5908
Philippe RyvlinDepartment of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-7775-6576
Maurizio CorbettaDepartment of Neuroscience and Padova Neuroscience Center, University of Padova, Padova, Italy.ORCID https://orcid.org/0000-0001-8295-3304

Funding

HORIZON EUROPE Innovative Europe 101147319
6 · The paper itself

Abstract

INTRODUCTION AND

aimsThe European Academy of Neurology (EAN) joined the Horizon Europe EBRAINS 2.0 research consortium to co-develop recommendations for prospective acquisition and integration of clinical and research core multi-scale human datasets for connectome analysis in stroke, Parkinson's disease (PD), and glioma (GBM).

methodsUsing an online Delphi survey method, expert consensus was sought on 28 statements for each of the following protocols in stroke, PD and GBM: clinical core/research brain MRI, minimum/extended clinical outcomes, minimum/extended cognition assessments, case report forms (CRF). The level of agreement for each statement was predefined as ≥ 80%. 536 experts from four EAN Scientific Panels (SP) (SP Neuro-oncology [n = 70], SP Movement Disorders [n = 206], SP Neuroimaging [n = 112], SP Stroke [n = 148]) were invited to participate in this Delphi process.

resultsTwo Delphi voting rounds were conducted to reach the predefined level of agreement (≥ 80%; range: 80.49%-100%) for all items to establish consensus on protocol recommendations for stroke, PD and GBM. Cumulative response rate from SP experts was 25% (n = 135 from 30 European countries) for the first, and 32% (n = 173 from 35 European countries) for the second Delphi voting round. DISCUSSION: These consented protocols provide a pragmatic framework for harmonizing multi-scale data acquisition for connectome analyses in stroke, PD, and GBM. Further, these protocols allow future modular extensions for other datasets, e.g., neurophysiological data or non-imaging biomarkers, and serve as a role model for brain network analyses in other neurological disorders.

Indexed as

Brain NeoplasmsConnectomeGliomaMagnetic Resonance ImagingNeurologyParkinson DiseaseStrokeDelphi TechniqueEuropeHumansconnectomedata harmonizationdata sharingdigital healthnetwork neuroscience

Identifiers

PMID42712147
PMCPMC13554969

What OpenQuestion holds

Textmetadata
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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.