Whether the hearing brain hears it or the deaf brain sees it, it’s just the same

Szwed, Marcin; Bola, Łukasz; Zimmermann, Maria

doi:10.1073/pnas.1710492114

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Previous studies (and unpublished data from our own group) have revealed differences in visually evoked cortical potentials between deaf and hearing groups, suggesting potential neural substrates for enhanced visual sensitivity [2,[18][19][20][21][22]. Further studies using brain imaging and animal models have provided extensive evidence that deaf individuals recruit auditory regions of the brain in response to visual stimuli (crossmodal plasticity) [3,[23][24][25][26][27]. Other studies revealed neural differences in deaf individuals in the visual system, but only in higher-order visual areas, such as V5/hMT+ and parietal cortex [28,29].…”

Section: Discussionmentioning

confidence: 80%

Retinotopic Remapping of the Visual System in Deaf Adults

et al. 2020

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Section: Discussionmentioning

confidence: 80%

Retinotopic Remapping of the Visual System in Deaf Adults

et al. 2020

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“…Previous studies revealed differences in visually evoked cortical potentials between deaf and hearing groups, suggesting potential neural substrates for enhanced visual sensitivity (Neville & Lawson, 1987). Later studies using brain imaging and animal models indicated that deaf adults recruit auditory regions of the brain in response to visual stimuli (cross-modal plasticity) Fine et al, 2005;Lomber et al, 2010;Bottari et al, 2014;Cardin et al, 2016;Shiell et al, 2016;Szwed et al, 2017). Other studies revealed neural differences in deaf individuals in higher-order visual areas, such as V5/hMT+ (Bavelier, 2001;Scott, 2014), but not in early visual areas (Fine et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Retinotopic remapping of the visual system in deaf adults

Levine

Yuen

Billawa

et al. 2020

Preprint

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Deaf individuals rely on visual rather than auditory cues to detect events in the periphery, putting a greater demand on neural resources for vision. Comparing visual maps in the brains of early deaf and hearing adults, we found a redistribution of neural resources in the lateral geniculate nucleus and primary visual cortex, with larger representations of the periphery, at a cost of smaller representations of the central visual field.

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Sensory deprivation as a model for the actualizing compensatory brain resources

Krivonogova

2020

Современная Зарубежная Психология

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The concepts of «cognitive» or «compensatory brain reserves» are proposed to explain a wide individual variability of changes in cognitive functions during aging and are used to study the adaptive reorganization of the neural systems of the brain in damages of its functions due to various pathological processes, including deprivation of visual or auditory information. The development of tomographic methods for estimating the volume and functional activity of individual brain structures made it possible to obtain new information on the mechanisms of neuroplasticity caused by sensory deprivation. The literature review provides evidences of the cross-modal development of brain structures to ensure the processes of perception and processing of environmental stimuli based on compensatory replacement of the missing sensory function and a possible increase in the effectiveness of the activity of the analyzer systems. The described patterns of formation and stimulation of compensatory reserves are important for understanding the fundamentals of brain activity, and from a practical point of view, for improving training programs or developing methods for correcting the negative effects of brain aging or damage.

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Whether the hearing brain hears it or the deaf brain sees it, it’s just the same

Cited by 3 publications

References 19 publications

Retinotopic Remapping of the Visual System in Deaf Adults

Retinotopic Remapping of the Visual System in Deaf Adults

Retinotopic remapping of the visual system in deaf adults

Sensory deprivation as a model for the actualizing compensatory brain resources

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