Biophysical neurons, energy, and synapse controllability: a review
J Ma - Journal of Zhejiang University-Science A, 2023 - Springer
Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …
regulates membrane potential, and energy injection from external stimuli breaks the energy …
[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
Alterations in EEG functional connectivity in individuals with depression: A systematic review
The brain works as an organised, network-like structure of functionally interconnected
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
Issues and recommendations from the OHBM COBIDAS MEEG committee for reproducible EEG and MEG research
Abstract The Organization for Human Brain Map** (OHBM) has been active in advocating
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
for the instantiation of best practices in neuroimaging data acquisition, analysis, reporting …
Electroencephalographic connectivity: a fundamental guide and checklist for optimal study design and evaluation
Brain connectivity can be estimated through many analyses applied to
electroencephalography (EEG) data. However, substantial heterogeneity in the …
electroencephalography (EEG) data. However, substantial heterogeneity in the …
Transfer entropy as a measure of brain connectivity: A critical analysis with the help of neural mass models
Objective: Assessing brain connectivity from electrophysiological signals is of great
relevance in neuroscience, but results are still debated and depend crucially on how …
relevance in neuroscience, but results are still debated and depend crucially on how …
Brain functional networks based on resting-state EEG data for major depressive disorder analysis and classification
B Zhang, G Yan, Z Yang, Y Su… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
If the brain is regarded as a system, it will be one of the most complex systems in the
universe. Traditional analysis and classification methods of major depressive disorder …
universe. Traditional analysis and classification methods of major depressive disorder …
Graph theory analysis of functional connectivity in major depression disorder with high-density resting state EEG data
S Sun, X Li, J Zhu, Y Wang, R La… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Existing studies have shown functional brain networks in patients with major depressive
disorder (MDD) have abnormal network topology structure. But the methods to construct …
disorder (MDD) have abnormal network topology structure. But the methods to construct …
A deep learning approach for mild depression recognition based on functional connectivity using electroencephalography
X Li, R La, Y Wang, B Hu, X Zhang - Frontiers in neuroscience, 2020 - frontiersin.org
Early detection remains a significant challenge for the treatment of depression. In our work,
we proposed a novel approach to mild depression recognition using …
we proposed a novel approach to mild depression recognition using …
A comparison between scalp-and source-reconstructed EEG networks
EEG can be used to characterise functional networks using a variety of connectivity (FC)
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …