2014
DOI: 10.1016/j.neuroimage.2014.03.058
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Spatial variability of functional brain networks in early-blind and sighted subjects

Abstract: To further the understanding how the human brain adapts to early-onset blindness, we searched in early-blind and normally-sighted subjects for functional brain networks showing the most and least spatial variabilities across subjects. We hypothesized that the functional networks compensating for early-onset blindness undergo cortical reorganization. To determine whether reorganization of functional networks affects spatial variability, we used functional magnetic resonance imaging to compare brain networks, de… Show more

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Cited by 16 publications
(16 citation statements)
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“…The goal of these models is to estimate sources (ie, networks) so that each source can be compared across subjects while maintaining independence between the different sources. 10 To our knowledge, there have been few studies focused on the spatial variability of resting networks 11 and none among schizophrenia subjects. Given that we do expect considerable spatial variability, there is a need for approaches that can effectively incorporate this variability in conjunction with studies assessing this variability.…”
Section: [A]mentioning
confidence: 99%
“…The goal of these models is to estimate sources (ie, networks) so that each source can be compared across subjects while maintaining independence between the different sources. 10 To our knowledge, there have been few studies focused on the spatial variability of resting networks 11 and none among schizophrenia subjects. Given that we do expect considerable spatial variability, there is a need for approaches that can effectively incorporate this variability in conjunction with studies assessing this variability.…”
Section: [A]mentioning
confidence: 99%
“…Nonetheless, both studies focused on cross-modal plasticity mechanisms and not in characterizing simultaneously the structure and function of visual cortical regions in the context of specific changes triggered by a retinal disorder. Additionally, the majority of reports on structural changes combine several ophthalmological conditions involving distinct mechanisms, which may hinder the understanding of specific brain changes triggered by a particular disease (Anurova et al, 2014, Boldt et al, 2014, Dietrich et al, 2013, Erika et al, 2014, Lee et al, 2014, Lewald and Getzmann, 2013, Park et al, 2009, Plank et al, 2011, Renier et al, 2013, Wang et al, 2014, Weaver et al, 2013, Xie et al, 2012). Previous studies with advanced stage patients with glaucoma and macular degeneration (Bogorodzki et al, 2014, Boucard et al, 2009, Chen et al, 2013, Hernowo et al, 2014, Plank et al, 2011, Yu et al, 2014, Zikou et al, 2012) and blind participants (Anurova et al, 2014, Jiang et al, 2009, Pan et al, 2007, Park et al, 2009, Ptito et al, 2008) reported reduced gray matter volume in the occipital cortex.…”
Section: Introductionmentioning
confidence: 99%
“…A previous study demonstrated that early blindness showed resting-state correlations between V1 and V2/V3 in retinotopic pattern [7]. There are also propositions that early blind patients exhibit stronger auditory and parietal networks and weaker vision-related occipital networks compared with sighted subjects [8]. Meanwhile, the congenital blindness (CB) and the late blindness (LB) showed decreased short- and long-range functional connectivity densities in the primary visual cortex (V1) [9].…”
Section: Introductionmentioning
confidence: 99%