Evidence map›Paper›PMID 41048358›Full record

ArticleFrontiers in neuroscience2025

Multisensory vs. unisensory learning: how they shape effective connectivity networks subserving unimodal and multimodal integration.

Ioanna Porfyri, Evangelos Paraskevopoulos, Alexandra Anagnostopoulou, Charis Styliadis, Panagiotis D Bamidis

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ioanna PorfyriLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Evangelos ParaskevopoulosDepartment of Psychology, University of Cyprus, Nicosia, Cyprus.
Alexandra AnagnostopoulouLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Charis StyliadisLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Panagiotis D BamidisLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain synthesizes meaningful interpretations out of the surrounding environment, by integrating sensory input collected by multiple senses. Learning based on contextual multisensory stimulation is considered superior to unisensory. Multisensory methods implemented in rehabilitation and educational studies have demonstrated remarkable neuroplastic changes within cortical networks. However, the exact mechanisms underlying the ensuing neuroplasticity continue to elude comprehension. The present work intends to address this gap at the large-scale level by modeling the experience-induced alterations of multisensory and unisensory training in the effective cortical networks that subserve visual, auditory, and audiovisual information processing. Pre- and post-training EEG analysis demonstrated that the cross-modal training alters significantly the effective connectivity networks in all three modalities, whilst the unisensory methodological approach exerts impact solely on a unisensory (auditory) system. The regions that exhibit most of the alterations are identified within the left medial frontal gyrus (MFG), the left inferior frontal sulcus (IFS), as well as the left insula, areas with renowned multisensory properties. The reconfiguration of the connections following the multisensory training and during the visual and auditory integrative processes concerns mainly higher-order cortical areas, suggesting a top-down process affecting unisensory perception. The results of our study not only strengthen the theory of the superiority of multisensory training compared to unisensory but also indicate that the influence of multimodal training on the unisensory systems succeeds through feedback connections from higher-order association areas, highlighting the complexity of neurophysiological pathways of human perception.

Indexed as

EEGeffective connectivitymultisensory trainingmusic trainingneuroplasticity

Identifiers

PMID41048358
PMCPMC12491179

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.