Multimodal modeling of neural network activity: computing LFP, ECoG, EEG, and MEG signals with LFPy 2.0
Recordings of extracellular electrical, and later also magnetic, brain signals have been the
dominant technique for measuring brain activity for decades. The interpretation of such …
dominant technique for measuring brain activity for decades. The interpretation of such …
Biophysical psychiatry—how computational neuroscience can help to understand the complex mechanisms of mental disorders
T Mäki-Marttunen, T Kaufmann, T Elvsåshagen… - Frontiers in …, 2019 - frontiersin.org
The brain is the most complex of human organs, and the pathophysiology underlying
abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid …
abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid …
In-silico EEG biomarkers of reduced inhibition in human cortical microcircuits in depression
Reduced cortical inhibition by somatostatin-expressing (SST) interneurons has been
strongly associated with treatment-resistant depression. However, due to technical …
strongly associated with treatment-resistant depression. However, due to technical …
Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures
Electrical recordings of neural mass activity, such as local field potentials (LFPs) and
electroencephalograms (EEGs), have been instrumental in studying brain function …
electroencephalograms (EEGs), have been instrumental in studying brain function …
Alterations in schizophrenia-associated genes can lead to increased power in delta oscillations
Genome-wide association studies have implicated many ion channels in schizophrenia
pathophysiology. Although the functions of these channels are relatively well characterized …
pathophysiology. Although the functions of these channels are relatively well characterized …
Computation of the electroencephalogram (EEG) from network models of point neurons
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …
and dysfunction. Comparing experimentally recorded EEGs with neural network models is …
Neurobiologically realistic neural network enables cross-scale modeling of neural dynamics
Fundamental principles underlying computation in multi-scale brain networks illustrate how
multiple brain areas and their coordinated activity give rise to complex cognitive functions …
multiple brain areas and their coordinated activity give rise to complex cognitive functions …
Conservative finite element modeling of EEG and MEG on unstructured grids
For interpretation of electroencephalography (EEG) and magnetoencephalography (MEG)
data, multiple solutions of the respective forward problems are needed. In this paper, we …
data, multiple solutions of the respective forward problems are needed. In this paper, we …
Forward model of rat electroencephalogram: comparative study of numerical simulations with measurements on rat head phantoms
In the paper, we propose a procedure to be used for the validation of software for forward
modeling of rat electroencephalogram with scalp potentials measured on rat head …
modeling of rat electroencephalogram with scalp potentials measured on rat head …
Simulating epileptic seizures using the bidomain model
J Schreiner, KA Mardal - Scientific Reports, 2022 - nature.com
Epileptic seizures are due to excessive and synchronous neural activity. Extensive
modelling of seizures has been done on the neuronal level, but it remains a challenge to …
modelling of seizures has been done on the neuronal level, but it remains a challenge to …