Understanding how large-scale brain dynamics reorganize around internally generated events remains a central challenge in neuroscience. While neural events are typically analyzed using local spectral or regional measures, less is known about how global information-theoretic quantities evolve following such events at the population level.
\nHere we report a robust, event-triggered entropy response in human EEG that appears consistently across meditation, tightly controlled meditation, and resting-state datasets. Using an entropy-based framework applied to thousands of subject pairs, we show that following detected emission events, the mean entropy change of target subjects exhibits a structured temporal profile. This profile remains stable under extensive subsampling of subject pairs, scales smoothly with population size, and is strongly separated from multiple null models.
\nCritically, the observed effect strengthens with increased data aggregation rather than diminishing, indicating that it reflects a collective dynamical phenomenon rather than idiosyncratic subject behavior or statistical artifact. While the underlying mechanism remains unknown, these results establish the existence of a population-level entropy response associated with neural events and motivate future theoretical and experimental investigation.
", "publication_date": "2025-12-27", "publisher": "Zenodo", "resource_type": { "id": "publication-preprint", "title": { "de": "Preprint", "en": "Preprint" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "id": "gemet:concept/2573", "identifiers": [ { "identifier": "http://www.eionet.europa.eu/gemet/concept/2573", "scheme": "url" } ], "props": { "groups": [ "http://www.eionet.europa.eu/gemet/group/893" ], "parents": "gemet:concept/892,gemet:concept/867,gemet:concept/2654", "themes": [ "http://www.eionet.europa.eu/gemet/theme/4" ] }, "scheme": "GEMET", "subject": "Egg" }, { "subject": "Neural entropy" }, { "id": "mesh:D007257", "scheme": "MeSH", "subject": "Information Theory" }, { "subject": "Population scaling" }, { "subject": "Event-triggered dynamics" }, { "subject": "Complex systems" }, { "id": "mesh:D009488", "scheme": "MeSH", "subject": "Neurosciences" }, { "id": "mesh:D010825Q000706", "scheme": "MeSH", "subject": "Physics/statistics & numerical data" } ], "title": "Event-Triggered Entropy Dynamics in Human EEG Reveal a Robust Population-Scaling Phenomenon" }, "parent": { "access": { "owned_by": { "user": "1437547" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "b401dba0-28f3-4eeb-952c-2f0b42f3c261", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "closed", "review_policy": "closed", "visibility": "public" }, "children": { "allow": false }, "created": "2025-12-02T16:55:14.812908+00:00", "custom_fields": { "subjects": [ { "id": "gemet:concept/6235" }, { "id": "euroscivoc:759" }, { "id": "mesh:D009488" }, { "id": "euroscivoc:793" }, { "id": "mesh:D007257" }, { "id": "euroscivoc:805" }, { "id": "mesh:D008390" } ] }, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "b401dba0-28f3-4eeb-952c-2f0b42f3c261", "links": {}, "metadata": { "description": "A research program developing coherence\u2013information laws across gravitational, quantum, biological and condensed-matter systems, including theory, empirical validation and computational frameworks under the VUH model.", "organizations": [ { "name": "Bhasin Research Unit for Hyperphysics (BRUH), Bengaluru, India" } ], "title": "VUH Research Program (BRUH)", "type": { "id": "project" } }, "revision_id": 5, "slug": "vuh", "updated": "2025-12-02T17:07:47.886226+00:00" } ], "ids": [ "b401dba0-28f3-4eeb-952c-2f0b42f3c261" ] }, "id": "18064178", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.18064178", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.18064179", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:18064179", "provider": "oai" } }, "revision_id": 8, "stats": { "all_versions": { "data_volume": 10843071.0, "downloads": 22, "unique_downloads": 18, "unique_views": 39, "views": 43 }, "this_version": { "data_volume": 10843071.0, "downloads": 22, "unique_downloads": 18, "unique_views": 39, "views": 43 } }, "status": "published", "swh": {}, "updated": "2025-12-26T20:05:09.008214+00:00", "versions": { "index": 1, "is_latest": true } }