the sleep-wake cycle: constraining steady states by electroencephalogram analysis modelling neurons...
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![Page 1: The sleep-wake cycle: constraining steady states by electroencephalogram analysis Modelling neurons and the brain EEG and stability analysis Constraints](https://reader036.vdocuments.us/reader036/viewer/2022062407/56649d5d5503460f94a3b917/html5/thumbnails/1.jpg)
The sleep-wake cycle:constraining steady states by
electroencephalogram analysis
Modelling neurons and the brainEEG and stability analysisConstraints on sleep-wake statesPhysiology and the sleep-wake cycle
Anthony L. Krensel
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The brain:
Cortex: “higher order” functions... Thalamus: filters information to cortex Brainstem: functions include arousal
Continuum Modelling: Modelling neural populations by
average properties and significant connections
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Neuronal signalling
Receives
signal
Propagates
down axon
Synapse:
Terminals transmit
neurochemicals,
onto next neuron
Response to
Signal
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Neuronal signalling
Receives
signal
Propagates
down axon
Synapse:
Terminals transmit
neurochemicals,
onto next neuron
Response to
Signal
![Page 5: The sleep-wake cycle: constraining steady states by electroencephalogram analysis Modelling neurons and the brain EEG and stability analysis Constraints](https://reader036.vdocuments.us/reader036/viewer/2022062407/56649d5d5503460f94a3b917/html5/thumbnails/5.jpg)
The EEG
S2
Spectrum
EC Spectrum
Awake, eyes closed (EC)
•Enhancement at low f (gold)
•1/f behaviour (green)
•Strong alpha peak (red)
•Small beta peak (orange)
Sleep, stage 2 (S2)
•Enhancement at low f (gold)
•1/f behaviour (green)
•Spindle peak/peaks (blue)
3
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The EIRS Model
Cortex: ● Excitatory (e)● Inhibitory (i)
Thalamus:● Reticular nucleus (r)● Relay nuclei (s)
Subthalamic Input (n)
Can find steady state firing rates
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Steady State
Steady state firing rates d/dt = 0
so , , , can be computed.
Nonlinear relationship: and
The linear gains are
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The EEG spectrum and Stability
Instability = power in single frequency diverges
First approximation to spectrum: given by squared modulus of
transfer function:
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Stability Analysis Instability Dispersion relation Most unstable case: k = 0
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EEG analysis
Examine very low
frequency regime
,
, ,
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A constrained parameter space (EC)
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Constraining EC
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Constrained parameter space (S2)
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Constraining S2
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Qualitative Results
Firing rates change as expected
Reticular sleep-wake switch: active in sleep
Relay nuclei inputs increase
Strong intra-cortical connectivity increase
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Arousal projection to the cortex
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Inputs to the model
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Summary and the Future
Constrained EC/S2 states in x,y,z Demonstrated links to physiology of sleep-wake Found a thalamic reticular sleep-wake switch
Extend this work to encompass sleep cycle Results guide modelling of sleep-wake inputs Ultimately link EIRS model to existing brainstem
models: e.g. the Phillips-Robinson model, the Circadian Oscillator, etc.
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Acknowledgements
Prof. Peter Robinson Dr. Peter Drysdale
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Extra equations (basic model equations)
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More equations