The evolution of cost-efficiency in neural networks during recovery from traumatic brain injury

Arnab Roy, Rachel A. Bernier, Jianli Wang, Monica Benson, Jerry J. French, David C. Good, Frank G. Hillary

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


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., hyper-connectivity) 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 reestablish connectivity while balancing cost-efficiency trade-offs.

Original languageEnglish (US)
Article numbere0170541
JournalPloS one
Issue number4
StatePublished - Apr 2017

All Science Journal Classification (ASJC) codes

  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • General


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