2017
DOI: 10.1016/j.tics.2017.04.007
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Metastability in Senescence

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Cited by 68 publications
(98 citation statements)
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References 90 publications
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“…Metastability, a measure of dynamic flexibility whereby the brain transitions through different states, was computed as the standard deviation of the Kuramoto order parameter (45,46). Higher metastability is a potential marker for cognitive and behavioural functioning (45,(47)(48)(49). Synchrony, a measure of general coherence (50), was computed as the mean of the Kuramoto order parameter.…”
Section: Global-brain Level Fcmentioning
confidence: 99%
“…Metastability, a measure of dynamic flexibility whereby the brain transitions through different states, was computed as the standard deviation of the Kuramoto order parameter (45,46). Higher metastability is a potential marker for cognitive and behavioural functioning (45,(47)(48)(49). Synchrony, a measure of general coherence (50), was computed as the mean of the Kuramoto order parameter.…”
Section: Global-brain Level Fcmentioning
confidence: 99%
“…(Vasa et al, 2015). For a review of the complementary nature of global coherence and metastability, see (Deco et al 2017, Hellyer et al 2015, Vasa et al 2015. It is evident how spontaneous metastable brain dynamics would contribute to cognitive flexibility.…”
Section: An Example Of This Is a Recent Computational Study By Vasa Ementioning
confidence: 99%
“…We want to discuss these results in the light of two opposing theories of healthy aging. The method of neuro-compensation argues that age-related changes in brain dynamics suggest a compensatory mechanism by which function gets restored in response to structural decline (Naik et al 2017). In this regard, it is interesting to note that Alzheimer's disease and Traumatic brain injuries are associated with a reduction in global metastability (Córdova-Palomera et al, 2017;Hellyer et al, 2015).…”
Section: An Example Of This Is a Recent Computational Study By Vasa Ementioning
confidence: 99%
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“…An interesting question to ask is how the formation of chimera states can be influenced by the loss of functionality of some of the constituent components of the system. In the case of the brain it could be the damage suffered by some of the neuronal components due to aging or disease 21 . For a model system of coupled oscillators this can be the loss of oscillatory behavior of some of the oscillators.…”
Section: Introductionmentioning
confidence: 99%