Visual rhythm perception improves through auditory but not visual training

Barakat, Brandon; Seitz, Aaron R.; Shams, Ladan

doi:10.1016/j.cub.2014.12.011

Cited by 52 publications

(66 citation statements)

References 10 publications

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“…18,19 Furthermore, higher order neuro cognitive functions and other sensory systems can access the auditory cortex via top-down interactions—eg, for scaling and calibrating other sensory systems for temporal information processing. 6,20 Such access could be compromised by early deafness. 6,21 Application of a connectome model to individuals with sensory impairment suggests that outcomes of hearing loss and subsequent cochlear implantation will extend beyond the direct result of sensory loss—eg, perception of spoken language in the case of hearing.…”

Section: Application Of a Connectome Model To Neurosensory Restorationmentioning

confidence: 99%

Neurocognitive factors in sensory restoration of early deafness: a connectome model

Kral

Kronenberger

Pisoni

et al. 2016

The Lancet Neurology

272

240

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Progress in biomedical technology (cochlear, vestibular, and retinal implants) has led to remarkable success in neurosensory restoration, particularly in the auditory system. However, outcomes vary considerably, even after accounting for comorbidity—for example, after cochlear implantation, some deaf children develop spoken language skills approaching those of their hearing peers, whereas other children fail to do so. Here, we review evidence that auditory deprivation has widespread effects on brain development, affecting the capacity to process information beyond the auditory system. After sensory loss and deafness, the brain’s effective connectivity is altered within the auditory system, between sensory systems, and between the auditory system and centres serving higher order neurocognitive functions. As a result, congenital sensory loss could be thought of as a connectome disease, with interindividual variability in the brain’s adaptation to sensory loss underpinning much of the observed variation in outcome of cochlear implantation. Different executive functions, sequential processing, and concept formation are at particular risk in deaf children. A battery of clinical tests can allow early identification of neurocognitive risk factors. Intervention strategies that address these impairments with a personalised approach, taking interindividual variations into account, will further improve outcomes.

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Section: Application Of a Connectome Model To Neurosensory Restorationmentioning

confidence: 99%

Neurocognitive factors in sensory restoration of early deafness: a connectome model

Kral

Kronenberger

Pisoni

et al. 2016

The Lancet Neurology

272

240

View full text Add to dashboard Cite

show abstract

“…In general, compared with vision, audition has been found to have a dominant role in temporal processing and tasks dependent on timing (for a review see Chen & Vroomen, ). Of particular interest is that learning studies revealed asymmetries between two modalities (Bratzke et al ., ; Barakat et al ., ; McGovern et al ., ). For instance, Barakat et al .…”

Section: Discussionmentioning

confidence: 98%

“…For instance, Barakat et al . () have recently reported that training observers in an auditory (but not visual) rhythm discrimination significantly improved their performance in a subsequent visual rhythm discrimination task. Similarly, using a more comprehensive design, McGovern et al .…”

Section: Discussionmentioning

confidence: 99%

“…In general, compared with vision, audition has been found to have a dominant role in temporal processing and tasks dependent on timing (for a review see Chen & Vroomen, 2013). Of particular interest is that learning studies revealed asymmetries between two modalities (Bratzke et al, 2012;Barakat et al, 2015;McGovern et al, 2016). For instance, Barakat et al (2015) have recently reported that training observers in an auditory (but not visual) rhythm discrimination significantly improved their performance in a subsequent visual rhythm discrimination task.…”

Section: Sub-second Time Interval Adaptationmentioning

confidence: 99%

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The involvement of centralized and distributed processes in sub‐second time interval adaptation: an ERP investigation of apparent motion

Kaya

Yildirim

Kafaligonul

2017

Eur J of Neuroscience

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Accumulating evidence suggests that the timing of brief stationary sounds affects visual motion perception. Recent studies have shown that auditory time interval can alter apparent motion perception not only through concurrent stimulation but also through brief adaptation. The adaptation after-effects for auditory time intervals was found to be similar to those for visual time intervals, suggesting the involvement of a central timing mechanism. To understand the nature of cortical processes underlying such after-effects, we adapted observers to different time intervals using either brief sounds or visual flashes and examined the evoked activity to the subsequently presented visual apparent motion. Both auditory and visual time interval adaptation led to significant changes in the ERPs elicited by the apparent motion. However, the changes induced by each modality were in the opposite direction. Also, they mainly occurred in different time windows and clustered over distinct scalp sites. The effects of auditory time interval adaptation were centred over parietal and parieto-central electrodes while the visual adaptation effects were mostly over occipital and parieto-occipital regions. Moreover, the changes were much more salient when sounds were used during the adaptation phase. Taken together, our findings within the context of visual motion point to auditory dominance in the temporal domain and highlight the distinct nature of the sensory processes involved in auditory and visual time interval adaptation.

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“…Increasing evidence suggests that the mechanisms supporting unisensory (i.e., within-modality) perceptual learning are evident at higher cortical levels [33, 55] and that enhanced perception of amodal sensory properties due to perceptual training in modality can exhibit transfer across sensory modalities to an untrained sensory modality [56, 57]. Stimulus exposure that is more passive in nature appears to drive changes at lower cortical levels while increasingly the relevance of the stimulus properties elicits changes at both higher and lower cortical levels [8].…”

Section: Discussionmentioning

confidence: 99%

The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration

2017

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The capacity to rapidly adjust perceptual representations confers a fundamental advantage when confronted with a constantly changing world. Unexplored is how feedback regarding sensory judgments (top-down factors) interacts with sensory statistics (bottom-up factors) to drive long- and short-term recalibration of multisensory perceptual representations. Here, we examined the time course of both cumulative and rapid temporal perceptual recalibration for individuals completing an audiovisual simultaneity judgment task in which they were provided with varying degrees of feedback. We find that in the presence of feedback (as opposed to simple sensory exposure) temporal recalibration is more robust. Additionally, differential time courses are seen for cumulative and rapid recalibration dependent upon the nature of the feedback provided. Whereas cumulative recalibration effects relied more heavily on feedback that informs (i.e., negative feedback) rather than confirms (i.e., positive feedback) the judgment, rapid recalibration shows the opposite tendency. Furthermore, differential effects on rapid and cumulative recalibration were seen when the reliability of feedback was altered. Collectively, our findings illustrate that feedback signals promote and sustain audiovisual recalibration over the course of cumulative learning and enhance rapid trial-to-trial learning. Furthermore, given the differential effects seen for cumulative and rapid recalibration, these processes may function via distinct mechanisms.

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Visual rhythm perception improves through auditory but not visual training

Cited by 52 publications

References 10 publications

Neurocognitive factors in sensory restoration of early deafness: a connectome model

Neurocognitive factors in sensory restoration of early deafness: a connectome model

The involvement of centralized and distributed processes in sub‐second time interval adaptation: an ERP investigation of apparent motion

The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration

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