BESA Source Coherence: A New Method to Study Cortical Oscillatory Coupling
By K. Hoechstetter, H. Bornfleth, D. Weckesser, N. Ille, P. Berg, M. Scherg. Brain Topography, 2003
357 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/ffd2035859c0dc9a0d36aa54967dd540d15d9aaf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Jan-Mathijs Schoffelen
- Wolfgang Klimesch
- Simon Hanslmayr
- John J. McDonald
- Joachim Gross
- F. H. Lopes da Silva
- Thalía Harmony
- Ole Jensen
In Cognitive Neuroscience
- Jan-Mathijs Schoffelen
- Simon Hanslmayr
- Karl-Heinz Bäuml
- Wolfgang Klimesch
- Joachim Gross
- Jessica J. Green
- Daniel H. Mathalon
- Bernhard Pastötter
Citations in the corpus
- The Electrophysiological Dynamics of Interference during the Stroop Task (2008, background): “Hoechstetter et al. (2004) have shown that these problems can be circumvented by applying source modeling.”
- Source connectivity analysis with MEG and EEG (2009, background): “Many source connectivity studies used coherence to quantify oscillatory interdependencies between brain areas [Gross et al., 2002; Hoechstetter et al., 2004; Pollok et al., 2004, 2005; Timmermann et al., 2003].”
- Coherence a measure of the brain networks: past and present (2016, neutral): “mental problems for coherence analysis at the sensor level [27].”
- Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution (2012, neutral): “The simplest approach here is to create a source model to project the (unaveraged) sensor data into source space (Hoechstetter et al., 2004), although the creation of such a source montage requires the availability of averaged evoked data (see Grasman et al.”
- Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia. (2008, background): “Phase coherence between source waveforms is implemented in software packages such as BESA.69,70 Some have even argued that modeling source activity does not eliminate the possibility that 2 sources are spuriously coherent because they are contaminated by activity from a third source.51 Accordingly, ”
- Electrical Neuroimaging Reveals Timing of Attentional Control Activity in Human Brain (2008, methodology): “Each participant’s EEG was transformed into the time-frequency domain using the complex demodulation technique implemented in BESA (see [47] for more details).”
- Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients (2025, unknown): “We transformed iEEG signals into 10-ms/5-Hz time–frequency bins using the complex demodulation method incorporated in the BESA EEG Software (BESA GmbH, Gräfelfing, Germany) (Papp and Ktonas, 1977; Hoechstetter et al., 2004).”
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography (2026, unknown): “…RS parameterization efforts have so far parameterized the EEG sensor power spectra, which reflect activity from multiple brain regions for discussions of the problems associated with this approach (see Edgar et al. 2003, 2017; Hoechstetter et al. 2004; Scherg and Berg 1996; Scherg and Picton 1991).”
- Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “…the analyses on EEG sensor data, thus assessing power spectra that reflect activity from multiple brain regions (for discussions of the limitations associated with this approach see (Edgar et al., 2026; Hoechstetter, 2004; Scherg and Berg, 1996; Scherg and Picton, 1991; Edgar, 2017; Edgar, 2003).”
- Confirmation of a Useful Dark‐Room Resting‐State Procedure: Periodic and Aperiodic MEG Activity in Children (2026, unknown): “Given two orthogonal dipoles per regional source, there are two time series at each location (Hoechstetter et al. 2004).”
- Does rehearsal matter? Left anterior temporal alpha and theta band changes correlate with the beneficial effects of rehearsal on working memory. (2021, unknown): “source-level analysis calculates weighted combinations of the recorded scalp electrodes in order to reduce the amount of overlap (Hoechstetter et al., 2004; Scherg, 1992).”