Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients.

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Title: Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients.
Authors: Di Gaetano L; Department of Network and Data Science, Central European University, Vienna 1100, Austria., Santos FAN; Institute for Advanced Study, University of Amsterdam, Amsterdam 1012 GC, The Netherlands., Battiston F; Department of Network and Data Science, Central European University, Vienna 1100, Austria., Bianconi G; School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, UK.; The Alan Turing Institute, British Library, London NW1 2DB, UK., Defenu N; Institute for Theoretical Physics, ETH Zurich, Zurich 8093, Switzerland., Nissen IA; Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081HV Amsterdam, The Netherlands., van Straaten ECW; Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081HV Amsterdam, The Netherlands.; Academic Center for Epileptology Kempenhaeghe and MUMC+, Heeze 5591 VE, The Netherlands., Hillebrand A; Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081HV Amsterdam, The Netherlands.; Amsterdam Neuroscience, Brain Imaging, 1081HV Amsterdam, The Netherlands.; Amsterdam Neuroscience, Systems & Network Neuroscience, 1081HV Amsterdam, The Netherlands., Millán AP; Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081HV Amsterdam, The Netherlands.; Department of Electromagnetism and Matter Physics, and Institute 'Carlos I' of Statistical and Computational Physics, University of Granada, 18071 Granada, Spain.
Source: Brain communications [Brain Commun] 2025 Oct 31; Vol. 7 (6), pp. fcaf431. Date of Electronic Publication: 2025 Oct 31 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101755125 Publication Model: eCollection Cited Medium: Internet ISSN: 2632-1297 (Electronic) Linking ISSN: 26321297 NLM ISO Abbreviation: Brain Commun Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2632-1297
DOI:10.1093/braincomms/fcaf431