[HTML][HTML] Identifying good practices for detecting inter-regional linear functional connectivity from EEG
Aggregating voxel-level statistical dependencies between multivariate time series is an
important intermediate step when characterising functional connectivity (FC) between larger …
important intermediate step when characterising functional connectivity (FC) between larger …
Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model
MD Maliia, E Köksal-Ersöz, A Benard, T Calas… - Network …, 2024 - direct.mit.edu
Computational modeling is a key tool for elucidating the neuronal mechanisms underlying
epileptic activity. Despite considerable progress, existing models often lack realistic …
epileptic activity. Despite considerable progress, existing models often lack realistic …
Analysis of task-related MEG functional brain networks using dynamic mode decomposition
Objective. Functional connectivity networks explain the different brain states during the
diverse motor, cognitive, and sensory functions. Extracting connectivity network …
diverse motor, cognitive, and sensory functions. Extracting connectivity network …
[HTML][HTML] eCOALIA: Neocortical neural mass model for simulating electroencephalographic signals
This paper introduces eCOALIA, a Python-based environment for simulating intracranial
local field potentials and scalp electroencephalography (EEG) signals with neural mass …
local field potentials and scalp electroencephalography (EEG) signals with neural mass …
Modelling Neuron-Glial Network Interactions at the Whole-Brain Scale for Human Neuroimaging Applications
OBK Ali - 2024 - spectrum.library.concordia.ca
Glial cells, together with their neighboring neurons, constitute an integral functional unit
within brain circuitry, rather than isolated elements. Astrocytes, for instance, are strategically …
within brain circuitry, rather than isolated elements. Astrocytes, for instance, are strategically …