Closed-loop control of gamma oscillations in the brain connections through the transcranial stimulations

Fuente: arXiv
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Main Authors: Zhang, Xuan, Feng, Duoyu, Barry, Djibrina, Li, Jiajia
Format: Preprint
Published: 2024
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_version_ 1866913260899401728
author Zhang, Xuan
Feng, Duoyu
Barry, Djibrina
Li, Jiajia
author_facet Zhang, Xuan
Feng, Duoyu
Barry, Djibrina
Li, Jiajia
contents The reconstruction of brain neural network connections occurs not only during the infancy and early childhood stages of brain development, but also in patients with cognitive impairment in middle and old age under the therapy with stimulated external interference, such as the non-invasive repetitive transcranial magnetic stimulation (rTMS) and the transcranial direct current stimulation(tDCS). However, until now, it is not clear how brain stimulation triggers and controls the reconstruction of neural network connections in the brain. This paper combines the EEG data analysis and the cortical neuronal network modeling methods. On one hand, an E-I balanced cortical neural network model was constructed under a long-lasting external stimulation of sinusoidal-exponential form TMS or square-wave tDCS was introduced into the network model for simulate the treatment process for the brain connections. On the other hand, by combining Butterworth filter and functional connectivity algorithm, the paper analyzes the relations between the attentional gamma oscillation responses and the brain connection based on the publicly available EEGs during the pre-tDCS and post-tDCS treatment phases. Firstly, the simulation results indicate that, during long-lasting external stimulations of tDCS/rTMS, The sustained gamma oscillation was found to trigger more release of BDNF from astrocytes to participate in the positively reshaping the excitatory neuronal network connection.
format Preprint
id arxiv_https___arxiv_org_abs_2403_06794
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Closed-loop control of gamma oscillations in the brain connections through the transcranial stimulations
Zhang, Xuan
Feng, Duoyu
Barry, Djibrina
Li, Jiajia
Neurons and Cognition
The reconstruction of brain neural network connections occurs not only during the infancy and early childhood stages of brain development, but also in patients with cognitive impairment in middle and old age under the therapy with stimulated external interference, such as the non-invasive repetitive transcranial magnetic stimulation (rTMS) and the transcranial direct current stimulation(tDCS). However, until now, it is not clear how brain stimulation triggers and controls the reconstruction of neural network connections in the brain. This paper combines the EEG data analysis and the cortical neuronal network modeling methods. On one hand, an E-I balanced cortical neural network model was constructed under a long-lasting external stimulation of sinusoidal-exponential form TMS or square-wave tDCS was introduced into the network model for simulate the treatment process for the brain connections. On the other hand, by combining Butterworth filter and functional connectivity algorithm, the paper analyzes the relations between the attentional gamma oscillation responses and the brain connection based on the publicly available EEGs during the pre-tDCS and post-tDCS treatment phases. Firstly, the simulation results indicate that, during long-lasting external stimulations of tDCS/rTMS, The sustained gamma oscillation was found to trigger more release of BDNF from astrocytes to participate in the positively reshaping the excitatory neuronal network connection.
title Closed-loop control of gamma oscillations in the brain connections through the transcranial stimulations
topic Neurons and Cognition
url https://arxiv.org/abs/2403.06794