Source analysis of magnetoencephalography (MEG) data requires the computation of the
magnetic fields induced by current sources in the brain. This so‐called MEG forward …

Bioelectromagnetism has contributed some of the most commonly used techniques to
human neuroscience such as magnetoencephalography (MEG), electroencephalography …

Source reconstruction of magnetoencephalography (MEG) has been used to assess brain
reorganization after brain damage, such as stroke. Lesions result in parts of the brain having …

This paper introduces an automated approach for generating a finite element (FE)
discretization of a multi-compartment human head model for electroencephalographic (EEG) …

Reward positivity (RewP) is an event-related brain potential component that emerges∼ 250–
350 ms after receiving reward-related feedback stimuli and is believed to be important for …

Mismatch negativity (MMN) is an auditory event‐related response reflecting the pre‐attentive
detection of novel stimuli and is a biomarker of cortical dysfunction in schizophrenia (SZ) …

Generating realistic volume conductor models for forward calculations in
electroencephalography (EEG) is not trivial and several factors contribute to the accuracy of …

Accurately reconstructing deep cortical source activity from EEG recordings is essential for
understanding cognitive processes. However, currently, there is a lack of reliable methods …

MEG and EEG source analysis is frequently used for the presurgical evaluation of
pharmacoresistant epilepsy patients. The source localization of the epileptogenic zone …

Objective. To formulate, validate, and apply an alternative to the finite element method (FEM)
high-resolution modeling technique for electrical brain stimulation—the boundary element …