2017
DOI: 10.1073/pnas.1619121114
|View full text |Cite
|
Sign up to set email alerts
|

Brain circuit–gene expression relationships and neuroplasticity of multisensory cortices in blind children

Abstract: Sensory deprivation reorganizes neurocircuits in the human brain. The biological basis of such neuroplastic adaptations remains elusive. In this study, we applied two complementary graph theory-based functional connectivity analyses, one to evaluate whole-brain functional connectivity relationships and the second to specifically delineate distributed network connectivity profiles downstream of primary sensory cortices, to investigate neural reorganization in blind children compared with sighted controls. We al… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
23
0
2

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 35 publications
(29 citation statements)
references
References 59 publications
4
23
0
2
Order By: Relevance
“…Our neuroimaging results are in broad agreement with previous findings in patients with OSA where compensatory mechanisms, activation of various homeostatic gene programmes and astroglial neurogenesis have all been proposed to underlie some of the initial adaptive and later maladaptive changes (36,37). In further agreement, our data also suggests that differential plastic response to OSA in the brain may depend on regional genes expressional profiles (38) For example our 'MR-gene' mapping findings support permissive and cohesive role for the TLR2-system in the interplay with BDNF, RSGRP1, fibronectin and neuroplastin-driven significant discrete and transformative neurophysiologic and behavioural changes.…”
Section: Discussionsupporting
confidence: 92%
“…Our neuroimaging results are in broad agreement with previous findings in patients with OSA where compensatory mechanisms, activation of various homeostatic gene programmes and astroglial neurogenesis have all been proposed to underlie some of the initial adaptive and later maladaptive changes (36,37). In further agreement, our data also suggests that differential plastic response to OSA in the brain may depend on regional genes expressional profiles (38) For example our 'MR-gene' mapping findings support permissive and cohesive role for the TLR2-system in the interplay with BDNF, RSGRP1, fibronectin and neuroplastin-driven significant discrete and transformative neurophysiologic and behavioural changes.…”
Section: Discussionsupporting
confidence: 92%
“…In this study, we used a graph theory approach called SFC 12 , 35 to analyze dynamic functional connectivity data in which local and distributed connectivity has been previously segregated (Fig. 1a, b ).…”
Section: Methodsmentioning
confidence: 99%
“…We conjectured that there are network nodes that are targeted by other nodes of the brain network, in which information streams are repeatedly formed towards them. Second, we investigated whether dynamic connectivity of large-scale brain networks are founded on specific cellular and molecular mechanisms through neuroimaging–genetics expression interactions in the human cerebral cortex 12 15 .…”
Section: Introductionmentioning
confidence: 99%
“…SFC methods delineated the functional propagation of specific regions of interest (ROI) across distinct link-steps. [20][21][22] First, individual connectivity matrices were computed. As shown in figure 1, the Pearson correlation coefficients between the time series of all pairs of cortical-subcortical grey matter voxels were computed.…”
Section: Sfc Analysesmentioning
confidence: 99%
“…Stepwise functional connectivity (SFC) is a novel graph-theory resting-state functional connectivity Neuropsychiatry approach developed by Sepulcre and colleagues that characterises the propagation and convergence of functional connectivity across brain networks. [20][21][22] Conventional resting-state methods predominantly characterise the segregation of discrete largescale networks; SFC is specifically designed to capture the segregation of brain networks and the integration between them, as a proxy of the information flow across neuronal systems. Using this method, sensorimotor systems in healthy subjects have been observed to propagate over a series of functional connectivity relay stations (link-steps) to a core set of multimodal integration areas.…”
Section: Introductionmentioning
confidence: 99%