title: Supramodal processing optimizes visual perceptual learning and plasticity.
abstract: Multisensory interactions are ubiquitous in cortex and it has been suggested that sensory cortices may be supramodal i.e. capable of functional selectivity irrespective of the sensory modality of inputs (Pascual-Leone and Hamilton, 2001; Renier et al., 2013; Ricciardi and Pietrini, 2011; Voss and Zatorre, 2012). Here, we asked whether learning to discriminate visual coherence could benefit from supramodal processing. To this end, three groups of participants were briefly trained to discriminate which of a red or green intermixed population of random-dot-kinematograms (RDKs) was most coherent in a visual display while being recorded with magnetoencephalography (MEG). During training, participants heard no sound (V), congruent acoustic textures (AV) or auditory noise (AVn); importantly, congruent acoustic textures shared the temporal statistics - i.e. coherence - of visual RDKs. After training, the AV group significantly outperformed participants trained in V and AVn although they were not aware of their progress. In pre- and post-training blocks, all participants were tested without sound and with the same set of RDKs. When contrasting MEG data collected in these experimental blocks, selective differences were observed in the dynamic pattern and the cortical loci responsive to visual RDKs. First and common to all three groups, vlPFC showed selectivity to the learned coherence levels whereas selectivity in visual motion area hMT+ was only seen for the AV group. Second and solely for the AV group, activity in multisensory cortices (mSTS, pSTS) correlated with post-training performances; additionally, the latencies of these effects suggested feedback from vlPFC to hMT+ possibly mediated by temporal cortices in AV and AVn groups. Altogether, we interpret our results in the context of the Reverse Hierarchy Theory of learning (Ahissar and Hochstein, 2004) in which supramodal processing optimizes visual perceptual learning by capitalizing on sensory-invariant representations - here, global coherence levels across sensory modalities.
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif-sur-Yvette, France; INRIA, Parietal team, Saclay, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Zilber
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif-sur-Yvette, France; INRIA, Parietal team, Saclay, France.
authors.forename: Philippe
authors.initials: P
authors.lastname: Ciuciu
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif-sur-Yvette, France; INRIA, Parietal team, Saclay, France; Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, 75014 Paris, France.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Gramfort
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif-sur-Yvette, France; INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif-sur-Yvette, France; Univ Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif-sur-Yvette, France.
authors.forename: Leila
authors.initials: L
authors.lastname: Azizi
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif-sur-Yvette, France; INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif-sur-Yvette, France; Univ Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif-sur-Yvette, France. Electronic address: Virginie.van.Wassenhove@gmail.com.
authors.forename: Virginie
authors.initials: V
authors.lastname: van Wassenhove
mesh_terms: D000293:Adolescent; D000328:Adult; D001307:Auditory Perception / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004193:Discrimination Learning / Q000502:physiology*; D005260:Female; D006801:Humans; D015225:Magnetoencephalography; D008297:Male; D009473:Neuronal Plasticity / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: Audition; Coherence; Dual-stream; MEG; Multisensory; Sensory substitution device