Predicting Real-Life Creativity Using Resting State Electroencephalography (P9-3.014)
The aim of this study is to uncover large-scale resting-state networks related to real-life creativity using high-density electroencephalography (HD-EEG) and to test whether the strength of functional connectivity within these networks could predict individual creativity in novel subjects.
Authors
- Judie Tabbal (ORCID: https://orcid.org/0000-0002-1798-4654)
- Véronique Paban (ORCID: https://orcid.org/0000-0001-7758-3302)
- Marc Vérin (ORCID: https://orcid.org/0000-0002-2373-7836)
- Manon Auffret (ORCID: https://orcid.org/0000-0002-7003-4084)
- Mahmoud Hassan (ORCID: https://orcid.org/0000-0003-0307-5086)
- Fatima Chhade (ORCID: https://orcid.org/0000-0003-2268-4768)
Institutions
- Inserm (FR)
- CIC Rennes (FR)
- Laboratoire de Neurosciences Cognitives (FR)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Rennes (FR)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211156
- Primary Topic
- Creativity in Education and Neuroscience
- Type
- article
- Field-Weighted Citation Impact
- 0.00