• No results found

University of Groningen Plasticity of visual field representations De Oliveira Carvalho, Joana

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen Plasticity of visual field representations De Oliveira Carvalho, Joana"

Copied!
3
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

Plasticity of visual field representations

De Oliveira Carvalho, Joana

DOI:

10.33612/diss.128352681

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date: 2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

De Oliveira Carvalho, J. (2020). Plasticity of visual field representations. University of Groningen. https://doi.org/10.33612/diss.128352681

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

CHAPTER

8

Summary

Unravelling the organization of the visual cortex is fundamental to understanding the degree to which the adult visual cortex has the capability to adapt its function and struc-ture. The research in this thesis aimed to: 1) understand how the visual field represen-tations present in the adult visual cortex are shaped by visual experience, predictive mechanisms, damage due to visual field defects or developmental disorders, and 2) de-velop advanced techniques and paradigms to characterize receptive fields (RFs) and their connections using neurocomputational models. To do so, I combined the neuroimag-ing technique functional magnetic resonance imagneuroimag-ing (fMRI) with biologically-driven neurocomputational models to investigate whether neurons – at the population or sub-population level – have the capacity to modify their receptive field properties following damage (artificial and natural) to the adult visual system or following changes in the stimulus. The main project outcomes are: 1) the development of a new a versatile brain mapping technique that captures the activity of neuronal subpopulations with minimal prior assumptions and high resolution, which we call micro probing (MP); 2) the design of alternative visual mapping stimuli, with which we have shown that the recruitment of neural resources depends on the task and/or stimulus; 3) the development of a novel approach to map the visual field and that enables the evaluation of vision loss and pro-vides important information about the function of the visual cortex and 4) the finding that in response to an artificial scotoma (mimicking a lesion to the visual system), there is a system-wide reconfiguration of cortical connectivity and RFs which may underlie the predictive masking of scotomas. These novel techniques and findings increase our understanding of the neuroplastic properties of the visual cortex and may be applied in the evaluation of pre- and post-treatment strategies that aim for vision restoration and rehabilitation.

(3)

Referenties

GERELATEERDE DOCUMENTEN

Er wordt nu een RF-puls (Radio Frequente puls, puls van radiostraling) naar de patiënt gezonden met fotonen die precies de energie ΔE hebben die nodig is om de waterstofkernen

Het gebied bij de pijl is wit en geeft dus een signaal met hoge intensiteit. Daar zitten dus relatief veel waterstofkernen. Hersenweefsel bevat meer waterstofkernen dan ander

Plasticity of visual field representations PhD Thesis, Groningen University, The Netherlands Joana Carolina Oliveira Carvalho,

More than 16 visual areas have been identified in the human brain (Wandell et al., 2007). These areas are hierarchically organized. V1 corresponds to the primary visual cortex, as

In this chapter, we discussed: a) the role of pRF mapping to cortically characterize visual areas and extrinsic and intrinsic factors that influence the pRF estimates; b)

Research on how the visual cortex reorganizes following visual loss has focused pri- marily on foveal and central visual loss. Given that peripheral and central vision have

Daartoe heb ik functionele MRI (fMRI) gecombineerd met computermodellen gebaseerd op de werking van hersencellen in het menselijk brein. Deze computermodellen heb ik vervolgens

fMRI-based reconstruction of the visual field provides an objective alternative to detect visual field defects, which provides useful details on the properties of the visual cortex