Generic dynamic causal modelling: An illustrative application to Parkinson's disease
Subthalamic Nucleus
Local field potential
Magnetoencephalography
Computational model
DOI:
10.1016/j.neuroimage.2018.08.039
Publication Date:
2018-08-18T23:34:33Z
AUTHORS (5)
ABSTRACT
We present a technical development in the dynamic causal modelling of electrophysiological responses that combines qualitatively different neural mass models within single network. This affords option to couple various cortical and subcortical nodes differ their form dynamics. Moreover, it enables users implement new straightforward standardized way. generic framework hence supports flexibility facilitates exploration increasingly plausible models. illustrate this by coupling basal ganglia-thalamus model (previously validated) developed specifically for motor cortex. The ensuing DCM is used infer pathways contribute suppression beta oscillations induced dopaminergic medication patients with Parkinson's disease. Experimental recordings were obtained from deep brain stimulation electrodes (implanted subthalamic nucleus) simultaneous magnetoencephalography. In line previous studies, our results indicate reduction synaptic efficacy circuit between nucleus external pallidum, as well reduced connections hyperdirect indirect pathway leading circuit. work forms foundation range studies mechanisms (and pathophysiology) underlying event-related potentials cross-spectral densities.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (103)
CITATIONS (48)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....