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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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The specifications considered to develop the HIP included: (1) secure access to sensitive datasets; (2) standardised data organisation following the BIDS for iEEG (BIDS\u2010iEEG) to ensure interoperability; (3) controlled access via a secure web\u2010based 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>HIP was implemented as a cloud\u2010based 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The HIP addresses key barriers to large\u2010scale iEEG research by combining secure governance, standardised data management, and collaborative analysis within a dedicated TRE, facilitating reproducible multi\u2010centre research.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ene.70702","type":"journal-article","created":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T10:33:15Z","timestamp":1787308395000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Human Intracerebral\n                    <scp>EEG<\/scp>\n                    Platform: A Cloud\u2010Based Trusted Research Environment for Collaborative\n                    <scp>SEEG<\/scp>\n                    Research in Epilepsy and Neuroscience"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9974-2714","authenticated-orcid":false,"given":"Carolina","family":"Ciumas","sequence":"first","affiliation":[{"name":"NeuroDigital@NeuroTech Lab, Department of Clinical Neurosciences Lausanne University Hospital  Lausanne Switzerland"},{"name":"Department of Neurology, Neurovascular Unit Orl\u00e9ans University Hospital  Orl\u00e9ans France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Perrin","sequence":"additional","affiliation":[{"name":"NeuroDigital@NeuroTech Lab, Department of Clinical Neurosciences Lausanne University Hospital  Lausanne 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