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

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
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article

Multimodal characterization of inter-individual differences during auditory statistical learning

David Romascano, Jenifer Miehlbradt, Frédéric Grouiller, Petra S. Hüppi et al.
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
Neural Networks and Applications
article

Multimodal characterization of inter-individual differences during auditory statistical learning

David Romascano, Jenifer Miehlbradt, Frédéric Grouiller, Petra S. Hüppi, Jonathan Wirsich
article en

Abstract

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.

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
Openalex Percentile: Top 87%
Neural Networks and Applications
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