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Unravelling the multisensory learning advantage: Different patterns of within and across frequency-specific interactions drive uni- and multisensory neuroplasticity.
Paraskevopoulos, Evangelos; Anagnostopoulou, Alexandra; Chalas, Nikolas; Karagianni, Maria; Bamidis, Panagiotis.
Affiliation
  • Paraskevopoulos E; Department of Psychology, University of Cyprus, Nicosia, Cyprus. Electronic address: Paraskevopoulos.evangelos@ucy.ac.cy.
  • Anagnostopoulou A; School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Chalas N; Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany.
  • Karagianni M; School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Bamidis P; School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Neuroimage ; 291: 120582, 2024 May 01.
Article in En | MEDLINE | ID: mdl-38521212
ABSTRACT
In the field of learning theory and practice, the superior efficacy of multisensory learning over uni-sensory is well-accepted. However, the underlying neural mechanisms at the macro-level of the human brain remain largely unexplored. This study addresses this gap by providing novel empirical evidence and a theoretical framework for understanding the superiority of multisensory learning. Through a cognitive, behavioral, and electroencephalographic assessment of carefully controlled uni-sensory and multisensory training interventions, our study uncovers a fundamental distinction in their neuroplastic patterns. A multilayered network analysis of pre- and post- training EEG data allowed us to model connectivity within and across different frequency bands at the cortical level. Pre-training EEG analysis unveils a complex network of distributed sources communicating through cross-frequency coupling, while comparison of pre- and post-training EEG data demonstrates significant differences in the reorganizational patterns of uni-sensory and multisensory learning. Uni-sensory training primarily modifies cross-frequency coupling between lower and higher frequencies, whereas multisensory training induces changes within the beta band in a more focused network, implying the development of a unified representation of audiovisual stimuli. In combination with behavioural and cognitive findings this suggests that, multisensory learning benefits from an automatic top-down transfer of training, while uni-sensory training relies mainly on limited bottom-up generalization. Our findings offer a compelling theoretical framework for understanding the advantage of multisensory learning.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Learning Limits: Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Learning Limits: Humans Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Type: Article