[HTML][HTML] Source-based artifact-rejection techniques for TMS–EEG

TP Mutanen, J Metsomaa, M Makkonen… - Journal of Neuroscience …, 2022 - Elsevier
Neuronal electroencephalography (EEG) signals arise from the cortical postsynaptic
currents. Due to the conductive properties of the head, these neuronal sources produce …

Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art

JD Nielsen, KH Madsen, O Puonti, HR Siebner… - Neuroimage, 2018 - Elsevier
Anatomically realistic volume conductor models of the human head are important for
accurate forward modeling of the electric field during transcranial brain stimulation (TBS) …

A survey on integral equations for bioelectric modeling

GN Ponasso - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Bioelectric modeling problems, such as electroencephalography, magnetoencephalography
, transcranial electrical stimulation, deep brain stimulation, and transcranial magnetic …

Frequency‐dependent functional connectivity in resting state networks

J Samogin, M Marino, C Porcaro… - Human brain …, 2020 - Wiley Online Library
Functional magnetic resonance imaging studies have documented the resting human brain
to be functionally organized in multiple large‐scale networks, called resting‐state networks …

How do reference montage and electrodes setup affect the measured scalp EEG potentials?

S Hu, Y Lai, PA Valdes-Sosa… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Human scalp electroencephalogram (EEG) is widely applied in cognitive
neuroscience and clinical studies due to its non-invasiveness and ultra-high time resolution …

[HTML][HTML] BOLD and EEG signal variability at rest differently relate to aging in the human brain

D Kumral, F Şansal, E Cesnaite, K Mahjoory, E Al… - NeuroImage, 2020 - Elsevier
Variability of neural activity is regarded as a crucial feature of healthy brain function, and
several neuroimaging approaches have been employed to assess it noninvasively. Studies …

[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 …

Incorporating and compensating cerebrospinal fluid in surface-based forward models of magneto-and electroencephalography

M Stenroos, A Nummenmaa - PLoS One, 2016 - journals.plos.org
MEG/EEG source imaging is usually done using a three-shell (3-S) or a simpler head model.
Such models omit cerebrospinal fluid (CSF) that strongly affects the volume currents. We …

[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 …

A finite-difference solution for the EEG forward problem in inhomogeneous anisotropic media

E Cuartas Morales, CD Acosta-Medina… - Brain Topography, 2019 - Springer
Accurate source localization of electroencephalographic (EEG) signals requires detailed
information about the geometry and physical properties of head tissues. Indeed, these …