Scale-free dynamics in human neonatal cortex following perinatal hypoxia

J Roberts, Kartik K. Iyer, S Finnian, S Vanhatalo, M Breakspear

Research output: Contribution to conferenceAbstract

17 Citations (Scopus)

Abstract

Complications at birth can interrupt blood supply to the baby, leading to hypoxia in the neonatal cortex. Once oxygen supply resumes, cortical activity follows a stereotypical recovery sequence that includes a period termed burst suppression, during which the EEG exhibits sudden, irregular fluctuations of highly variable size and shape. Clinical outcome depends critically on this phase, ranging from complete recovery to permanent cognitive or motor disability and even death. Despite its importance in the recovery process, burst suppression's mechanisms remain poorly understood, and objective diagnostics are needed to guide treatment [1].

Here, we analyze the statistical properties of burst suppression in neonatal EEG recordings and show that simple dynamical models capture key features of the data. We find that fluctuations in burst size exhibit long-tailed power law distributions spanning up to five orders of magnitude. Despite this immense variability, their average shape at all temporal scales can be rescaled to a near universal template (Figure 1). Deviations from universality include a flattening of fluctuation shapes at long time scales and the expression of leftward or rightward asymmetry. These features are consistent with the phenomenon of crackling noise that arises in disparate physical systems such as crumpling paper, magnetizing a ferromagnet, and earthquakes, all of which exhibit scale-free bursty events [2]. Similar behavior has recently been observed in neuronal avalanches recorded in cortical slices [3]. In our data, as in studies of crackling noise, the average shapes shed light on the underlying mechanisms [4]. Using simple phenomenological models, we show how changes to the average shapes can arise from different forms of state-dependent damping, representing resource depletion in cortical neurons. Statistical analysis of the variability and average shapes of bursts holds promise for new diagnostic opportunities in this critical clinical window and will inform future biologically-detailed models.
Original languageEnglish
PagesP36
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event22nd Annual Computational Neuroscience Meeting: CNS*2013 - Paris, France
Duration: 13 Jul 201318 Jul 2013

Conference

Conference22nd Annual Computational Neuroscience Meeting: CNS*2013
CountryFrance
CityParis
Period13/07/1318/07/13

Fingerprint

cortexes
hypoxia
bursts
electroencephalography
recovery
retarding
disabilities
flattening
neurons
death
statistical analysis
avalanches
blood
resources
depletion
templates
earthquakes
damping
recording
asymmetry

Cite this

Roberts, J., Iyer, K. K., Finnian, S., Vanhatalo, S., & Breakspear, M. (2013). Scale-free dynamics in human neonatal cortex following perinatal hypoxia. P36. Abstract from 22nd Annual Computational Neuroscience Meeting: CNS*2013, Paris, France. https://doi.org/10.1186/1471-2202-14-S1-P36
Roberts, J ; Iyer, Kartik K. ; Finnian, S ; Vanhatalo, S ; Breakspear, M. / Scale-free dynamics in human neonatal cortex following perinatal hypoxia. Abstract from 22nd Annual Computational Neuroscience Meeting: CNS*2013, Paris, France.
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Roberts, J, Iyer, KK, Finnian, S, Vanhatalo, S & Breakspear, M 2013, 'Scale-free dynamics in human neonatal cortex following perinatal hypoxia' 22nd Annual Computational Neuroscience Meeting: CNS*2013, Paris, France, 13/07/13 - 18/07/13, pp. P36. https://doi.org/10.1186/1471-2202-14-S1-P36

Scale-free dynamics in human neonatal cortex following perinatal hypoxia. / Roberts, J; Iyer, Kartik K.; Finnian, S; Vanhatalo, S; Breakspear, M.

2013. P36 Abstract from 22nd Annual Computational Neuroscience Meeting: CNS*2013, Paris, France.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Scale-free dynamics in human neonatal cortex following perinatal hypoxia

AU - Roberts, J

AU - Iyer, Kartik K.

AU - Finnian, S

AU - Vanhatalo, S

AU - Breakspear, M

PY - 2013

Y1 - 2013

N2 - Complications at birth can interrupt blood supply to the baby, leading to hypoxia in the neonatal cortex. Once oxygen supply resumes, cortical activity follows a stereotypical recovery sequence that includes a period termed burst suppression, during which the EEG exhibits sudden, irregular fluctuations of highly variable size and shape. Clinical outcome depends critically on this phase, ranging from complete recovery to permanent cognitive or motor disability and even death. Despite its importance in the recovery process, burst suppression's mechanisms remain poorly understood, and objective diagnostics are needed to guide treatment [1].Here, we analyze the statistical properties of burst suppression in neonatal EEG recordings and show that simple dynamical models capture key features of the data. We find that fluctuations in burst size exhibit long-tailed power law distributions spanning up to five orders of magnitude. Despite this immense variability, their average shape at all temporal scales can be rescaled to a near universal template (Figure 1). Deviations from universality include a flattening of fluctuation shapes at long time scales and the expression of leftward or rightward asymmetry. These features are consistent with the phenomenon of crackling noise that arises in disparate physical systems such as crumpling paper, magnetizing a ferromagnet, and earthquakes, all of which exhibit scale-free bursty events [2]. Similar behavior has recently been observed in neuronal avalanches recorded in cortical slices [3]. In our data, as in studies of crackling noise, the average shapes shed light on the underlying mechanisms [4]. Using simple phenomenological models, we show how changes to the average shapes can arise from different forms of state-dependent damping, representing resource depletion in cortical neurons. Statistical analysis of the variability and average shapes of bursts holds promise for new diagnostic opportunities in this critical clinical window and will inform future biologically-detailed models.

AB - Complications at birth can interrupt blood supply to the baby, leading to hypoxia in the neonatal cortex. Once oxygen supply resumes, cortical activity follows a stereotypical recovery sequence that includes a period termed burst suppression, during which the EEG exhibits sudden, irregular fluctuations of highly variable size and shape. Clinical outcome depends critically on this phase, ranging from complete recovery to permanent cognitive or motor disability and even death. Despite its importance in the recovery process, burst suppression's mechanisms remain poorly understood, and objective diagnostics are needed to guide treatment [1].Here, we analyze the statistical properties of burst suppression in neonatal EEG recordings and show that simple dynamical models capture key features of the data. We find that fluctuations in burst size exhibit long-tailed power law distributions spanning up to five orders of magnitude. Despite this immense variability, their average shape at all temporal scales can be rescaled to a near universal template (Figure 1). Deviations from universality include a flattening of fluctuation shapes at long time scales and the expression of leftward or rightward asymmetry. These features are consistent with the phenomenon of crackling noise that arises in disparate physical systems such as crumpling paper, magnetizing a ferromagnet, and earthquakes, all of which exhibit scale-free bursty events [2]. Similar behavior has recently been observed in neuronal avalanches recorded in cortical slices [3]. In our data, as in studies of crackling noise, the average shapes shed light on the underlying mechanisms [4]. Using simple phenomenological models, we show how changes to the average shapes can arise from different forms of state-dependent damping, representing resource depletion in cortical neurons. Statistical analysis of the variability and average shapes of bursts holds promise for new diagnostic opportunities in this critical clinical window and will inform future biologically-detailed models.

U2 - 10.1186/1471-2202-14-S1-P36

DO - 10.1186/1471-2202-14-S1-P36

M3 - Abstract

SP - P36

ER -

Roberts J, Iyer KK, Finnian S, Vanhatalo S, Breakspear M. Scale-free dynamics in human neonatal cortex following perinatal hypoxia. 2013. Abstract from 22nd Annual Computational Neuroscience Meeting: CNS*2013, Paris, France. https://doi.org/10.1186/1471-2202-14-S1-P36