![]() ![]() ![]() Received: OctoAccepted: JanuPublished: April 19, 2017Ĭopyright: © 2017 Roy et al. PLoS ONE 12(4):Įditor: Emmanuel Andreas Stamatakis, University of Cambridge, UNITED KINGDOM (2017) The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury. These results demonstrate that networks self-organize to re-establish connectivity while balancing cost-efficiency trade-offs.Ĭitation: Roy A, Bernier RA, Wang J, Benson M, French JJ Jr, Good DC, et al. 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. Cost in these subregions was a significant predictor of cognitive performance. 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. 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. 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. 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. ![]()
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