Thomas Berger, Lorenzo Pini, Alessandro Salvalaggio, Simone Cauzzo, Christine Klein, Maria Lolich, Alberto Picca, Dauren Ramankulov, Maria A Rocca, Roberta Rudà, Alessandro Sodero, Alessandro Tessitore, Thomas Truelsen, Roland Wiest, Gereon R Fink, Elena Moro, Philippe Ryvlin, Maurizio Corbetta
Two 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.
INTRODUCTION AND AIMS: The 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).
METHODS: Using 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.
RESULTS: Two 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.