ReviewEuropean journal of neurology2026
The Human Intracerebral EEG Platform: A Cloud-Based Trusted Research Environment for Collaborative SEEG Research in Epilepsy and Neuroscience.
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.
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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.
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Authors and funding
13 authors.
Funding
Abstract
introductionLack of standardised methodologies and secure processing environments for intracerebral EEG (iEEG) data creates critical barriers to international collaboration and reproducibility in clinical neuroscience. Within the framework of the Human Brain Project and EBRAINS, we have developed a specific platform, the Human Intracerebral EEG Platform (HIP), to address this challenge.
methodsThe specifications considered to develop the HIP included: (1) secure access to sensitive datasets; (2) standardised data organisation following the BIDS for iEEG (BIDS-iEEG) to ensure interoperability; (3) controlled access via a secure web-based interface; (4) provision of software needed to analyse iEEG; (5) a structured governance model enabling institutional participation through formal data sharing agreements; and (6) alignment with FAIR principles.
resultsHIP was implemented as a cloud-based Trusted Research Environment (TRE), with a first operational release in 2023. It provides private spaces for each participating institution and researchers, as well as collaborative spaces to share data. The HIP operates many software packages, including 3DSlicer, Brainstorm, HiBoP, etc., and CiCLONE, a tool specifically designed to coregister and visualise electrodes and recording leads on MRI and brain atlas. So far, the HIP hosts 34 institutions and 10 ongoing projects, including that on heartbeat potentials that show promising findings toward a better understanding of central autonomic dysfunction in persons with epilepsy.
conclusionsThe HIP addresses key barriers to large-scale iEEG research by combining secure governance, standardised data management, and collaborative analysis within a dedicated TRE, facilitating reproducible multi-centre research.
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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.