Oscillatory Traveling Waves Provide Evidence for Predictive Coding Abnormalities in Schizophrenia
Our results yield a novel spatial-based characterization of oscillatory dynamics in schizophrenia, considering brain rhythms as traveling waves and providing a unique framework to study the different components involved in a predictive coding scheme. All together, our findings significantly advance our understanding of the mechanisms involved in fundamental pathophysiological aspects of schizophrenia, promoting a more comprehensive and hypothesis-driven approach to psychiatric disorders.
Authors
- Michael H. Herzog (ORCID: https://orcid.org/0000-0001-5433-1030)
- Andrea Alamia (ORCID: https://orcid.org/0000-0001-9826-2161)
- Eka Chkonia (ORCID: https://orcid.org/0000-0002-8817-9679)
- Darío Gordillo (ORCID: https://orcid.org/0000-0001-7038-7501)
- Céline Cappe (ORCID: https://orcid.org/0000-0003-2879-6031)
- Maya Roinishvili (ORCID: https://orcid.org/0009-0004-2482-6234)
Institutions
- Tbilisi State University (GE)
- Centre National de la Recherche Scientifique (FR)
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- Institut National des Sciences Appliquées de Toulouse (FR)
- Centre National pour la Recherche Scientifique et Technique (CNRST) (MA)
- Toulouse Mathematics Institute (FR)
- Centre de recherche cerveau et cognition (FR)
- Free University of Tbilisi (GE)
- École Polytechnique Fédérale de Lausanne (CH)
- Tbilisi State Medical University (GE)
Publication Details
- Journal
- Biological Psychiatry
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1016/j.biopsych.2024.11.014
- Citations
- 13
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 4.46
Funders
- European Commission
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Horizon 2020 Framework Programme
- H2020 European Research Council