Head models and dynamic causal modeling of subcortical activity using magnetoencephalographic/electroencephalographic data
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Yohan Attal
Abstract
Cognitive functions involve not only cortical but also subcortical structures. Subcortical sources, however, contribute very little to magnetoencephalographic (MEG) and electroencephalographic (EEG) signals because they are far from external sensors and their neural architectonic organization often makes them electromagnetically silent. Estimating the activity of deep sources from MEG and EEG (M/EEG) data is thus a challenging issue. Here, we review the influence of geometric parameters (location/orientation) on M/EEG signals produced by the main deep brain structures (amygdalo-hippocampal complex, thalamus and some basal ganglia). We then discuss several methods that have been utilized to solve the issues and localize or quantify the M/EEG contribution from deep neural currents. These methods rely on realistic forward models of subcortical regions or on introducing strong dynamical priors on inverse solutions that are based on biologically plausible neural models, such as those used in dynamic causal modeling (DCM) for M/EEG.
©2012 by Walter de Gruyter Berlin Boston
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Artikel in diesem Heft
- GSK3: a key target for the development of novel treatments for type 2 diabetes mellitus and Alzheimer disease
- Mitochondrial and metabolic-based protective strategies in Huntington’s disease: the case of creatine and coenzyme Q
- At a PI3K crossroads: lessons from flies and rodents
- Theta phase precession beyond the hippocampus
- The role of Ca2+-stimulated adenylyl cyclases in bidirectional synaptic plasticity and brain function
- Endoplasmic reticulum stress and prion diseases
- Head models and dynamic causal modeling of subcortical activity using magnetoencephalographic/electroencephalographic data
- The role of glutamatergic inputs onto parvalbumin-positive interneurons: relevance for schizophrenia
- Stress-linked cortisol concentrations in hair: what we know and what we need to know
- Prelims
- Prelims
