Investigation of events in the EEG signal correlated with changes in both oxygen and glucose in the brain

Abstract

_______________________________________________________________________________Abstract-Since the brain has no constant energy reserves, a continuous supply of energy substrates is central to all processes that maintain the functionality of the neuronal cells. EEG has been found to be tightly related to variations in the concentration of the energy substrates such as oxygen and glucose. Prediction of neural activation is particularly useful as it could contribute significantly in the prevention, stabilization, or treatment of diseases such as Alzheimer's disease, migraine headache, and ischemic stroke, in which signaling between neurons and brain vessels is threatened because of dysfunctions that affect the neuronal, astroglial, and/or vascular components of the neurovascular unit. This work deals with investigation of events in the EEG signal correlated with changes in both oxygen and glucose signals in the brain. The topic is to implement a model that through measures of oxygen and glucose in the brain of rats allow to achieve a good estimation of the neural signals, which reflecting the simultaneous metabolic changes, during spontaneous oscillation and electrical stimulation.

Alterations of regional cerebral glucose metabolism using 18F-fluorodeoxyglucose positron-emission tomography/computed tomography and electroencephalography analysis during mindfulness breathing in Anapanasati meditation: A preliminary analysis

“…Valente et al . and Kuschinsky[ 27 28 ] described the strong correlation between local metabolism, blood flow, and EEG, activating brain function in specific functions. With activation in any brain areas, neurons would increase glucose utilization, leading to the increased cerebral blood flow and later glucose metabolism.…”

“…Based on this evidence, it is interesting that the meditation practice generates these alpha waves, which are believed to relieve stress, anxiety, and pain. [26] Valente et al and Kuschinsky [27,28] described the strong correlation between local metabolism, blood flow, and EEG, activating brain function in specific functions. With activation in any brain areas, neurons would increase glucose utilization, leading to the increased cerebral blood flow and later glucose metabolism.…”

Investigation of New Statistical Features for BCI Based Sleep Stages Recognition through EEG Bio-signals

“…For these purposes, Brain Computer Interface (BCI) technologies provide new sensing techniques to collect data [7]. BCI technologies enables HCI researchers to understand the state of users relying on changes in electrical, chemical and blood flow due to reaction of brain toward specific stimuli [8]. Techniques in BCI aim to provide a communication system that understand users' states by interpreting brain signals and react accordingly through an output device like computers [9] - [13].…”