From mechanisms to markers: novel noninvasive EEG proxy markers of the neural excitation and inhibition system in humans

J Ahmad, C Ellis, R Leech, B Voytek, P Garces… - Translational …, 2022 - nature.com
Brain function is a product of the balance between excitatory and inhibitory (E/I) brain
activity. Variation in the regulation of this activity is thought to give rise to normal variation in …

[HTML][HTML] Active dendrites and local field potentials: biophysical mechanisms and computational explorations

M Sinha, R Narayanan - Neuroscience, 2022 - Elsevier
Neurons and glial cells are endowed with membranes that express a rich repertoire of ion
channels, transporters, and receptors. The constant flux of ions across the neuronal and glial …

[HTML][HTML] Biophysically detailed forward modeling of the neural origin of EEG and MEG signals

S Næss, G Halnes, E Hagen, DJ Hagler Jr, AM Dale… - NeuroImage, 2021 - Elsevier
Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most
important techniques for non-invasively studying cognition and disease in the human brain …

[图书][B] Electric brain signals: foundations and applications of biophysical modeling

G Halnes, TV Ness, S Næss, E Hagen, KH Pettersen… - 2024 - books.google.com
It is common to study the electric activity of neurons by measuring the electric potential in the
extracellular space of the brain. However, interpreting such measurements requires …

Mean-field based framework for forward modeling of LFP and MEG signals

F Tesler, N Tort-Colet, D Depannemaecker… - Frontiers in …, 2022 - frontiersin.org
The use of mean-field models to describe the activity of large neuronal populations has
become a very powerful tool for large-scale or whole brain simulations. However, the …

Brain signal predictions from multi-scale networks using a linearized framework

E Hagen, SH Magnusson, TV Ness… - PLOS Computational …, 2022 - journals.plos.org
Simulations of neural activity at different levels of detail are ubiquitous in modern
neurosciences, aiding the interpretation of experimental data and underlying neural …

Computation of the electroencephalogram (EEG) from network models of point neurons

P Martínez-Cañada, TV Ness, GT Einevoll… - PLOS Computational …, 2021 - journals.plos.org
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …

Discovering optimal features for neuron-type identification from extracellular recordings

VR Haynes, Y Zhou, SM Crook - Frontiers in Neuroinformatics, 2024 - frontiersin.org
Advancements in multichannel recordings of single-unit activity (SUA) in vivo present an
opportunity to discover novel features of spatially-varying extracellularly-recorded action …

Computing extracellular electric potentials from neuronal simulations

TV Ness, G Halnes, S Næss, KH Pettersen… - … Modelling of the Brain …, 2021 - Springer
Measurements of electric potentials from neural activity have played a key role in
neuroscience for almost a century, and simulations of neural activity is an important tool for …

GABAA receptor subunit modulation reversed electrophysiological network alterations after blast exposure in rat organotypic hippocampal slice cultures

N Varghese, NE Amelinez-Robles, B Morrison III - Experimental Neurology, 2023 - Elsevier
Throughout training and deployment, some military service members are frequently exposed
to shock waves due to blasts, and some complain of myriad neurological symptoms. In rat …