Supramodal processing optimizes visual perceptual learning and plasticity

被引:26
|
作者
Zilber, Nicolas [1 ,2 ]
Ciuciu, Philippe [1 ,2 ]
Gramfort, Alexandre [1 ,2 ,3 ]
Azizi, Leila [1 ,4 ,5 ]
van Wassenhove, Virginie [1 ,4 ,5 ]
机构
[1] CEA, DSV I2BM, NeuroSpin Ctr, F-91191 Gif Sur Yvette, France
[2] INRIA, Parietal Team, Saclay, France
[3] Telecom ParisTech, Inst Mines Telecom, CNRS LTCI, F-75014 Paris, France
[4] INSERM, Cognit Neuroimaging Unit, U992, F-91191 Gif Sur Yvette, France
[5] Univ Paris 11, Cognit Neuroimaging Unit, F-91191 Gif Sur Yvette, France
关键词
MEG; Multisensory; Audition; Coherence; Dual-stream; Sensory substitution device; SUPERIOR TEMPORAL SULCUS; CROSS-MODAL PLASTICITY; SURFACE-BASED ANALYSIS; SENSORY SUBSTITUTION; AUDITORY MOTION; MULTISENSORY CONVERGENCE; AUDIOVISUAL INTEGRATION; SUBJECTIVE MEASURES; EEG-DATA; BRAIN;
D O I
10.1016/j.neuroimage.2014.02.017
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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 lad 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 v1PFC 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. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:32 / 46
页数:15
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