Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents

Lucka, Felix; Pursiainen, Sampsa; Burger, Martin; Wolters, Carsten H.

doi:10.1016/j.neuroimage.2012.04.017

Cited by 80 publications

(69 citation statements)

References 82 publications

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“…However, the source space used in the current study includes subcortical grey matter and distributed source estimations calculate the current density at all solution points. Recent evidence demonstrate that deep sources can be reliably estimated from scalp-recorded electrophysiological data (Lucka et al 2012). Moreover, using the same inverse solution approach as in the current study, Michel et al (2004) demonstrated that deep interictal middle temporal lobe epileptic activity can be accurately localized with our methods.…”

Section: Discussionsupporting

confidence: 60%

High and Low Stimulus-Driven Conflict Engage Segregated Brain Networks, Not Quantitatively Different Resources

et al. 2013

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Task-irrelevant information is constantly present in our environment and may interfere with the processing of the information necessary to achieve goaldirected behavior. While task goals determine which information must be suppressed, the demand for inhibitory control depends on the strength of the interference induced by incoming, task-irrelevant information. Whether the same or distinct inhibitory processes are engaged to suppress various degrees of interference from task-irrelevant information remains largely unresolved. We investigated this question by manipulating the strength of the conflict induced by automatic word reading in a classical color Stroop task. High conflict was induced by presenting words in participant's native language and low conflict by presenting words in a less familiar language. Behavioral performance and electrical neuroimaging analyses of eventrelated potentials to the words were analyzed following a two-by-two within-subject design with factors conflict strength (high; low) and color word/word ink congruency (congruent; incongruent). Behaviorally, we observed a significant conflict strength 9 congruency driven by a smaller Stroop effect in the low-than high conflict condition. Electrophysiologically, we observed a significant conflict strength 9 congruency interaction at the topographic level during the period of the N450 components, indicative of the engagement of distinct configurations of brain networks. No such interaction was found at the level of response strength. Electrical sources analyses localized the topographic effect within the anterior cingulate cortex and basal ganglia, left middle frontal and occipital areas. We interpret our results in terms of qualitatively distinct executive mechanisms for reactive inhibitory control in conditions of high versus low stimulus-driven conflict.

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Section: Discussionsupporting

confidence: 60%

High and Low Stimulus-Driven Conflict Engage Segregated Brain Networks, Not Quantitatively Different Resources

et al. 2013

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“…However, the source space used in the current study includes subcortical gray matter, and distributed source estimations calculate the current density at all solution points. Recent evidence demonstrates that deep sources can be reliably estimated from scalp-recorded electrophysiological data Lucka et al, 2012).…”

Section: Electrical Source Estimationsmentioning

confidence: 99%

Plastic modifications within inhibitory control networks induced by practicing a stop-signal task: An electrical neuroimaging study

Manuel

Bernasconi

Spierer

2013

Cortex

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“…EMD is defined as the minimum cost that must be done to transform one normalized discrete signal into the other given the metric between the discrete points of the domain [40,37]. EMD has previously been used in the context of EEG imaging in [15,27] since it is suitable for comparing images with possibly non-overlapping support such as sparse vectors.…”

Section: Different Reconstructions and Comparison Metricsmentioning

confidence: 99%

Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging

Koulouri

Rimpiläinen

Brookes

et al. 2016

Applied Numerical Mathematics

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Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents

Cited by 80 publications

References 82 publications

High and Low Stimulus-Driven Conflict Engage Segregated Brain Networks, Not Quantitatively Different Resources

High and Low Stimulus-Driven Conflict Engage Segregated Brain Networks, Not Quantitatively Different Resources

Plastic modifications within inhibitory control networks induced by practicing a stop-signal task: An electrical neuroimaging study

Compensation of domain modelling errors in the inverse source problem of the Poisson equation: Application in electroencephalographic imaging

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