{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T12:38:06Z","timestamp":1787315886037,"version":"build-2736575974"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1008773","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2021,3,18]],"date-time":"2021-03-18T00:00:00Z","timestamp":1616025600000}}],"reference-count":67,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T00:00:00Z","timestamp":1615161600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001663","name":"Volkswagen Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"German Ministry of Education and Research","award":["BMBF 031L0197B"],"award-info":[{"award-number":["BMBF 031L0197B"]}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["DFG MO 930\/8-1"],"award-info":[{"award-number":["DFG MO 930\/8-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["SFB 1089"],"award-info":[{"award-number":["SFB 1089"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Gertrud- Reemtsma-Stiftung"},{"name":"German Ministry for Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience (BCCN) G\u00f6ttingen"},{"name":"German Ministry for Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience (BCCN) G\u00f6ttingen"},{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004189","name":"Max-Planck-Gesellschaft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004189","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>Epileptic seizures are characterized by abnormal and excessive neural activity, where cortical network dynamics seem to become unstable. However, most of the time, during seizure-free periods, cortex of epilepsy patients shows perfectly stable dynamics. This raises the question of how recurring instability can arise in the light of this stable default state. In this work, we examine two potential scenarios of seizure generation: (i) epileptic cortical areas might generally operate closer to instability, which would make epilepsy patients generally more susceptible to seizures, or (ii) epileptic cortical areas might drift systematically towards instability before seizure onset. We analyzed single-unit spike recordings from both the epileptogenic (focal) and the nonfocal cortical hemispheres of 20 epilepsy patients. We quantified the distance to instability in the framework of criticality, using a novel estimator, which enables an unbiased inference from a small set of recorded neurons. Surprisingly, we found no evidence for either scenario: Neither did focal areas generally operate closer to instability, nor were seizures preceded by a drift towards instability. In fact, our results from both pre-seizure and seizure-free intervals suggest that despite epilepsy, human cortex operates in the stable, slightly subcritical regime, just like cortex of other healthy mammalians.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1008773","type":"journal-article","created":{"date-parts":[[2021,3,8]],"date-time":"2021-03-08T13:41:32Z","timestamp":1615210892000},"page":"e1008773","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":32,"title":["Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2429-0773","authenticated-orcid":true,"given":"Annika","family":"Hagemann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jens","family":"Wilting","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8387-0145","authenticated-orcid":true,"given":"Bita","family":"Samimizad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florian","family":"Mormann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viola","family":"Priesemann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2021,3,8]]},"reference":[{"issue":"1","key":"pcbi.1008773.ref001","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1177\/1073858412445487","article-title":"The functional benefits of criticality in the cortex","volume":"19","author":"WL Shew","year":"2013","journal-title":"The neuroscientist"},{"issue":"5","key":"pcbi.1008773.ref002","doi-asserted-by":"crossref","first-page":"058101","DOI":"10.1103\/PhysRevLett.94.058101","article-title":"Critical Branching Captures Activity in Living Neural Networks and Maximizes the Number of Metastable States","volume":"94","author":"C Haldeman","year":"2005","journal-title":"Physical Review Letters"},{"issue":"5","key":"pcbi.1008773.ref003","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1038\/nphys289","article-title":"Optimal dynamical range of excitable networks at criticality","volume":"2","author":"O Kinouchi","year":"2006","journal-title":"Nature physics"},{"issue":"7","key":"pcbi.1008773.ref004","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1162\/089976604323057443","article-title":"Real-time computation at the edge of chaos in recurrent neural networks","volume":"16","author":"N Bertschinger","year":"2004","journal-title":"Neural computation"},{"key":"pcbi.1008773.ref005","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2014.00108","article-title":"Spike avalanches in vivo suggest a driven, slightly subcritical brain state","volume":"8","author":"V Priesemann","year":"2014","journal-title":"Frontiers in Systems Neuroscience"},{"key":"pcbi.1008773.ref006","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2018.00055","article-title":"Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements","volume":"12","author":"J Wilting","year":"2018","journal-title":"Frontiers in Systems Neuroscience"},{"issue":"35","key":"pcbi.1008773.ref007","doi-asserted-by":"crossref","first-page":"11167","DOI":"10.1523\/JNEUROSCI.23-35-11167.2003","article-title":"Neuronal avalanches in neocortical circuits","volume":"23","author":"JM Beggs","year":"2003","journal-title":"The Journal of Neuroscience: The Official Journal of the Society for Neuroscience"},{"issue":"20","key":"pcbi.1008773.ref008","doi-asserted-by":"crossref","first-page":"208102","DOI":"10.1103\/PhysRevLett.108.208102","article-title":"Universal critical dynamics in high resolution neuronal avalanche data","volume":"108","author":"N Friedman","year":"2012","journal-title":"Physical review letters"},{"issue":"3","key":"pcbi.1008773.ref009","doi-asserted-by":"crossref","first-page":"031018","DOI":"10.1103\/PhysRevX.8.031018","article-title":"Homeostatic Plasticity and External Input Shape Neural Network Dynamics","volume":"8","author":"J Zierenberg","year":"2018","journal-title":"Physical Review X"},{"key":"pcbi.1008773.ref010","doi-asserted-by":"crossref","unstructured":"Neto JP, Spitzner FP, Priesemann V. 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