39 research outputs found
The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury
<div><p>A somewhat perplexing finding in the systems neuroscience has been the observation that physical injury to neural systems may result in enhanced functional connectivity (i.e., hyperconnectivity) relative to the typical network response. The consequences of local or global enhancement of functional connectivity remain uncertain and this is particularly true for the overall metabolic cost of the network. We examine the hyperconnectivity hypothesis in a sample of 14 individuals with TBI with data collected at approximately 3, 6, and 12 months following moderate and severe TBI. As anticipated, individuals with TBI showed increased network strength and cost early after injury, but by one-year post injury hyperconnectivity was more circumscribed to frontal DMN and temporal-parietal attentional control regions. Cost in these subregions was a significant predictor of cognitive performance. Cost-efficiency analysis in the Power 264 data parcellation suggested that at 6 months post injury the network requires higher cost connections to achieve high efficiency as compared to the network 12 months post injury. These results demonstrate that networks self-organize to re-establish connectivity while balancing cost-efficiency trade-offs.</p></div
Cost probability distributions and hubs for state 3 for both samples.
<p><b>Left</b>: Cost probability distributions for state 6. Distributions based upon the cost for all notes collapsed across runs for each group. <b>Right</b>: Hubs identified for each of the samples for state 6.</p
Correlation between state 5 hubs and state 5 frequency in TBI.
<p>Correlation between state 5 hubs and state 5 frequency in TBI.</p
Cost probability distributions and hubs for state 3 for both samples.
<p><b>Left</b>: Cost probability distributions for state 3. Distributions based upon the cost for all nodes collapsed across runs for each group. <b>Right</b>: Hubs identified for each of the samples for state 3.</p
Global graph metrics for static analysis.
<p>Global graph metrics for static analysis.</p
Data processing pipeline for functional data.
<p>Abbreviations: ICA: independent components analysis, dFC: dynamic functional connectivity,T1: structural MRI, MNI: montreal neurological institute, FWHM: full width half-maximum.</p
Correlation between state 5 hubs cognition in TBI.
<p>Correlation between state 5 hubs cognition in TBI.</p