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Energy features in spontaneous up and down oscillations
Yihong Wang1, Xuying Xu1, Rubin Wang1,2
1Institute for Cognitive Neurodynamics, East China University of Science and Technology, 130 Meilong Road, Shanghai, China.
Cognitive Neurodynamics
|March 31, 2021
Summary
Brain energy consumption during spontaneous activity shows distinct up and down states, similar to membrane potentials. This energy indicator reliably distinguishes neuron types and internal brain processes.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Spontaneous brain activity accounts for a significant portion of the brain's energy expenditure.
- Up and down transitions in membrane potentials are key spontaneous activities, characterized by bistable and bimodal distributions.
- Previous research focused on ion channel dynamics; this study investigates energy features.
Purpose of the Study:
- To analyze the energy characteristics of spontaneous up and down transitions in neuronal activity.
- To determine if energy consumption can serve as a robust index for distinguishing neuronal states and types.
- To explore the spatial and temporal distribution of energy consumption during spontaneous brain activity.
Main Methods:
- Development and simulation of a network model to study spontaneous neuronal activity.
- Analysis of energy consumption patterns in relation to membrane potential oscillations.
- Distinguishing energy consumption between excitatory and inhibitory neurons.
Main Results:
- Energy consumption serves as a robust index, distinguishable between excitatory and inhibitory neurons.
- Neuronal energy consumption exhibits bistable and bimodal features, mirroring membrane potential dynamics.
- Energy consumption is predominantly observed during 'up' states and localized within neurons, not synapses.
- Stimulation-related energy consumption is minimal, highlighting the role of internal spontaneous activity.
Conclusions:
- Energy consumption is a valid indicator that encodes the up and down states of spontaneous neuronal activity.
- The findings support the model's validity and provide a foundation for exploring energy mechanisms in other spontaneous brain activities.
- Energy consumption is primarily driven by intrinsic neuronal dynamics rather than external stimuli.
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