activity
20182023
most citedQuality assessment of MEG-to-MRI coregistrations

11 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2023★ 1 cited

Scatter-based common spatial patterns -- a unified spatial filtering framework

Jinlong Dong, Milana Komosar, Johannes Vorwerk +2

The common spatial pattern (CSP) approach is known as one of the most popular spatial filtering techniques for EEG classification in motor imagery (MI) based brain-computer interfa…

eess.SP2023

Online functional connectivity analysis of large all-to-all networks

Lorenz Esch, Jinlong Dong, Matti Hämäläinen +3

The analysis of EEG/MEG functional connectivity has become an important tool in neural research. Especially the high time resolution of EEG/MEG enables important insight into the f…

physics.med-ph2020★ 11 cited

Quality assessment of MEG-to-MRI coregistrations

Hermann Sonntag, Jens Haueisen, Burkhard Maess

For high precision in source reconstruction of magnetoencephalography (MEG) or electroencephalography data, high accuracy of the coregistration of sources and sensors is mandatory.…

physics.med-ph2020

Evaluating the Performance of Ultra-Low-Field MRI for In-vivo 3D Current Density Imaging of the Human Head

Peter Hömmen, Antti J. Mäkinen, Alexander Hunold +5

Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabli…

physics.med-ph2018

Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study

Alexander Hunold, Daniel Strohmeier, Patrique Fiedler +1

Physical head phantoms allow assessing source reconstruction procedures in electroencephalography and electrical stimulation profiles during transcranial electric stimulation. Volu…