Neural Networks Mediating Perceptual Learning in Congenital Blindness

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Neural Networks Mediating Perceptual Learning in Congenital Blindness. / Chebat, Daniel Robert; Schneider, Fabien C.; Ptito, Maurice.

In: Scientific Reports, Vol. 10, No. 1, 495, 2020.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Chebat, DR, Schneider, FC & Ptito, M 2020, 'Neural Networks Mediating Perceptual Learning in Congenital Blindness', Scientific Reports, vol. 10, no. 1, 495. https://doi.org/10.1038/s41598-019-57217-w

APA

Chebat, D. R., Schneider, F. C., & Ptito, M. (2020). Neural Networks Mediating Perceptual Learning in Congenital Blindness. Scientific Reports, 10(1), [495]. https://doi.org/10.1038/s41598-019-57217-w

Vancouver

Chebat DR, Schneider FC, Ptito M. Neural Networks Mediating Perceptual Learning in Congenital Blindness. Scientific Reports. 2020;10(1). 495. https://doi.org/10.1038/s41598-019-57217-w

Author

Chebat, Daniel Robert ; Schneider, Fabien C. ; Ptito, Maurice. / Neural Networks Mediating Perceptual Learning in Congenital Blindness. In: Scientific Reports. 2020 ; Vol. 10, No. 1.

Bibtex

@article{d216dfc97464494488e20b33c3e0b3b8,
title = "Neural Networks Mediating Perceptual Learning in Congenital Blindness",
abstract = "Despite the fact that complete visual deprivation leads to volumetric reductions in brain structures associated with spatial learning, blind individuals are still able to navigate. The neural structures involved in this function are not fully understood. Our study aims to correlate the performance of congenitally blind individuals (CB) and blindfolded sighted controls (SC) in a life-size obstacle-course using a visual-to-tactile sensory substitution device, with the size of brain structures (voxel based morphometry-VBM-) measured through structural magnetic resonance Imaging (MRI). VBM was used to extract grey matter volumes within several a-priori defined brain regions in all participants. Principal component analysis was utilized to group brain regions in factors and orthogonalize brain volumes. Regression analyses were then performed to link learning abilities to these factors. We found that (1) both CB and SC were able to learn to detect and avoid obstacles; (2) their learning rates for obstacle detection and avoidance correlated significantly with the volume of brain structures known to be involved in spatial skills. There is a similar relation between regions of the dorsal stream network and avoidance for both SC and CB whereas for detection, SC rely more on medial temporal lobe structures and CB on sensorimotor areas.",
author = "Chebat, {Daniel Robert} and Schneider, {Fabien C.} and Maurice Ptito",
year = "2020",
doi = "10.1038/s41598-019-57217-w",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Neural Networks Mediating Perceptual Learning in Congenital Blindness

AU - Chebat, Daniel Robert

AU - Schneider, Fabien C.

AU - Ptito, Maurice

PY - 2020

Y1 - 2020

N2 - Despite the fact that complete visual deprivation leads to volumetric reductions in brain structures associated with spatial learning, blind individuals are still able to navigate. The neural structures involved in this function are not fully understood. Our study aims to correlate the performance of congenitally blind individuals (CB) and blindfolded sighted controls (SC) in a life-size obstacle-course using a visual-to-tactile sensory substitution device, with the size of brain structures (voxel based morphometry-VBM-) measured through structural magnetic resonance Imaging (MRI). VBM was used to extract grey matter volumes within several a-priori defined brain regions in all participants. Principal component analysis was utilized to group brain regions in factors and orthogonalize brain volumes. Regression analyses were then performed to link learning abilities to these factors. We found that (1) both CB and SC were able to learn to detect and avoid obstacles; (2) their learning rates for obstacle detection and avoidance correlated significantly with the volume of brain structures known to be involved in spatial skills. There is a similar relation between regions of the dorsal stream network and avoidance for both SC and CB whereas for detection, SC rely more on medial temporal lobe structures and CB on sensorimotor areas.

AB - Despite the fact that complete visual deprivation leads to volumetric reductions in brain structures associated with spatial learning, blind individuals are still able to navigate. The neural structures involved in this function are not fully understood. Our study aims to correlate the performance of congenitally blind individuals (CB) and blindfolded sighted controls (SC) in a life-size obstacle-course using a visual-to-tactile sensory substitution device, with the size of brain structures (voxel based morphometry-VBM-) measured through structural magnetic resonance Imaging (MRI). VBM was used to extract grey matter volumes within several a-priori defined brain regions in all participants. Principal component analysis was utilized to group brain regions in factors and orthogonalize brain volumes. Regression analyses were then performed to link learning abilities to these factors. We found that (1) both CB and SC were able to learn to detect and avoid obstacles; (2) their learning rates for obstacle detection and avoidance correlated significantly with the volume of brain structures known to be involved in spatial skills. There is a similar relation between regions of the dorsal stream network and avoidance for both SC and CB whereas for detection, SC rely more on medial temporal lobe structures and CB on sensorimotor areas.

U2 - 10.1038/s41598-019-57217-w

DO - 10.1038/s41598-019-57217-w

M3 - Journal article

C2 - 31949207

AN - SCOPUS:85077942066

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 495

ER -

ID: 245708667