Injured Brains and Adaptive Networks

The Benefits and Costs of Hyperconnectivity

Frank G. Hillary*, Jordan Henry Grafman

*Corresponding author for this work

Research output: Contribution to journalReview article

43 Citations (Scopus)

Abstract

A common finding in human functional brain-imaging studies is that damage to neural systems paradoxically results in enhanced functional connectivity between network regions, a phenomenon commonly referred to as ‘hyperconnectivity’. Here, we describe the various ways that hyperconnectivity operates to benefit a neural network following injury while simultaneously negotiating the trade-off between metabolic cost and communication efficiency. Hyperconnectivity may be optimally expressed by increasing connections through the most central and metabolically efficient regions (i.e., hubs). While adaptive in the short term, we propose that chronic hyperconnectivity may leave network hubs vulnerable to secondary pathological processes over the life span due to chronically elevated metabolic stress. We conclude by offering novel, testable hypotheses for advancing our understanding of the role of hyperconnectivity in systems-level brain plasticity in neurological disorders.

Original languageEnglish (US)
Pages (from-to)385-401
Number of pages17
JournalTrends in Cognitive Sciences
Volume21
Issue number5
DOIs
StatePublished - May 1 2017

Fingerprint

Functional Neuroimaging
Physiological Stress
Negotiating
Pathologic Processes
Nervous System Diseases
Cost-Benefit Analysis
Communication
Costs and Cost Analysis
Wounds and Injuries
Brain

Keywords

  • Alzheimer's disease
  • brain injury
  • connectivity
  • network
  • plasticity

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

Cite this

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abstract = "A common finding in human functional brain-imaging studies is that damage to neural systems paradoxically results in enhanced functional connectivity between network regions, a phenomenon commonly referred to as ‘hyperconnectivity’. Here, we describe the various ways that hyperconnectivity operates to benefit a neural network following injury while simultaneously negotiating the trade-off between metabolic cost and communication efficiency. Hyperconnectivity may be optimally expressed by increasing connections through the most central and metabolically efficient regions (i.e., hubs). While adaptive in the short term, we propose that chronic hyperconnectivity may leave network hubs vulnerable to secondary pathological processes over the life span due to chronically elevated metabolic stress. We conclude by offering novel, testable hypotheses for advancing our understanding of the role of hyperconnectivity in systems-level brain plasticity in neurological disorders.",
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Injured Brains and Adaptive Networks : The Benefits and Costs of Hyperconnectivity. / Hillary, Frank G.; Grafman, Jordan Henry.

In: Trends in Cognitive Sciences, Vol. 21, No. 5, 01.05.2017, p. 385-401.

Research output: Contribution to journalReview article

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