Multimodal characterization of inter-individual differences during auditory statistical learning
Motivation: Learning abilities present important variations across individuals. Yet, learning is often assessed at group levels and in pre/post paradigms. Goal(s): Our goal was to characterize the cerebral activity sustaining learning using BOLD variability and EEG synchronization, and to associate these patterns with behavioral scores. Approach: 18 young healthy adults performed an auditory statistical learning task during a joint EEG-fMRI acquisition. Results: Better learning outcomes were associated with higher temporal BOLD variability, lower BOLD variability in the fusiform, occipital and calcarine gyri, as well as with a higher task-specific synchronization of the right temporal EEG signals. Impact: We show that BOLD variability and EEG entrainment are appropriate markers to assess learning-specific brain activity patterns. In addition, outcomes from these distinct imaging modalities present similarities in spatial localization and explainability of behavioral outcomes.
Authors
- David Romascano (ORCID: https://orcid.org/0000-0002-8823-9176)
- Jenifer Miehlbradt (ORCID: https://orcid.org/0000-0003-1255-9218)
- Frédéric Grouiller (ORCID: https://orcid.org/0000-0003-3445-5831)
- Petra S. Hüppi (ORCID: https://orcid.org/0000-0002-7383-6648)
- Jonathan Wirsich (ORCID: https://orcid.org/0000-0003-0588-9710)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/3726
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00