The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors.

By Guido Nolte. Physics in Medicine and Biology, 2003

1,041 citations recorded by the source corpus.

Subfields: Geophysics, Nuclear and High Energy Physics, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/c3b3437846eb2f983068f7b0604041e8714d865b

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Citations in the corpus

Efficient Computation of Lead Field Bases and Influence Matrix for the FEM-based EEG and MEG Inverse Problem. Part I: Complexity Considerations (2003, neutral): “0266-5611/04/041099+18$30.00 © 2004 IOP Publishing Ltd Printed in the UK 1099”
EEG and MEG Data Analysis in SPM8 (2011, methodology): “In SPM8, we recommend using a “single shell” model [38] for MEG and “EEG BEM” (Boundary Elements Model [39–43]) for EEG.”
Source connectivity analysis with MEG and EEG (2009, methodology): “We simulated 100 s of data for a 248-channel 4D neuroimaging magnetometer system, by using a realistically shaped volume conductor [Nolte, 2003] and uncorrelated sensor noise.”
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data (2010, methodology): “Various algorithms are implemented, including for MEG single sphere [16], overlapping spheres [17], and a spherical harmonics approximation of realistic geometries [18].”
Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013, methodology): “Leadfield computation was based on a single shell volume conductor model [70] using a 10 mm grid defined on the template (MNI) brain.”
Prior Expectation Mediates Neural Adaptation to Repeated Sounds in the Auditory Cortex: An MEG Study (2011, methodology): “We created a realistic single-shell head model for 15 of 16 participants of which we had acquired structural MRI images, using the brain surface from their individual segmented MRIs (Nolte, 2003).”
Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, positive): “Inverse solution Subject-wise structural MRI scans were used to derive individual single-shell volume conductor models (Nolte, 2003).”
Inter- and intra-individual variability in alpha peak frequency (2014, methodology): “Lead fields were calculated for all grid points (Nolte, 2003).”
The development of aperiodic and periodic resting-state power between early childhood and adulthood: New insights from optically pumped magnetometers (2024, methodology): “Forward solutions were computed for each source position using a single-shell head model of an age-appropriate template and assumed a dipole approximation of neural current (Nolte, 2003).”
Effective connectivity of working memory performance: a DCM study of MEG data (2024, methodology): “The head model template in MNI space (“standard_bem”) (Oostenveld et al., 2003) was transformed into a subject-speciﬁc head shape to compute the volume conduction model using a realistically shaped single shell approximation from FieldTrip’s ft_prepare_headmodel.m function (Nolte, 2003).”
Temporal expectation based on the duration variability modulates alpha oscillations during working memory retention (2022, methodology): “A semi-realistic single shell head model (Nolte, 2003) was used as a forward model to simulate the signals at each channel predicted by the sources in the cortical mesh.”
Stress enhances emotional memory-related theta oscillations in the medial temporal lobe (2021, methodology): “Volume conduction models were created using a single-shell volume conductor model (Nolte, 2003), based on the T1-weighted structural magnetic resonance image (MRI; Siemens Magnetom Prisma) from each participant.”