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. 2020 Jul 15;215:116817. doi: 10.1016/j.neuroimage.2020.116817

Table 1.

Studies reporting cerebellar findings using MEG or EEG sorted by domain, subject group, type of response and method for source localization. ∗Information obtained from personal communication.

Authors and year Modality Domain Subject group Response Source localization Head model
Gross et al. (2002) MEG Motor Neurotypical (N ​= ​9) Long-range EMG connectivity Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs∗
Timmermann et al. (2003) MEG Motor Parkinson’s Disease patients (N ​= ​6) Long-range EMG connectivity Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs
Pollok et al. (2005) MEG Motor Neurotypical (N ​= ​10) Long-range EMG connectivity Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs
Jerbi et al. (2007) MEG Motor Neurotypical (N ​= ​15) Long-range connectivity Minimum-norm estimate Single sphere head models based on individual MRs∗
Dalal et al. (2008) MEG Motor Neurotypical (N ​= ​12) Oscillations.
ECoG used to validate results on epilepsy patients (N ​= ​2)
Beamformer Multiple spheres model (Huang et al., 1999), based on individual MRs
Pollok et al. (2008) MEG Motor Neurotypical (N ​= ​11) Long-range EMG connectivity Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs
Schnitzler et al. (2009) MEG Motor Essential Tremor patients (N ​= ​8) Long-range EMG connectivity Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs
Wilson et al. (2010) MEG Motor Neurotypical children and adolescents (N ​= ​10) Oscillations (beta band) Beamformer (DICS) Single shell head model, based on individual MRs∗
Marty et al. (2018) MEG Motor Neurotypical (N ​= ​11) Long-range connectivity Beamformer Single shell head model (Gramfort et al., 2013), based on individual MRs
Torres and Beardsley (2019) EEG Motor Neurotypical (N ​= ​15) Event-related potentials Minimum-norm estimate Three-layered Boundary Element Method (OpenMEEG; Gramfort et al., 2010), based on template brain with individual electrode locations
Reyes et al. (2005) EEG Audition Neurotypical (N ​= ​9) Steady-state response Minimum-norm estimate (LORETA) Three-layered Boundary Element Method (Curry 4.5 Neuroscan Labs Inc., El Paso, TX), based on template brain with individual electrode locations
Herrojo Ruiz et al. (2017) MEG Audition Neurotypical (N ​= ​21) Oscillations (theta and beta bands) Dipole fitting Single shell head model (Gramfort et al., 2013), based on individual MRs
Cao et al. (2017) MEG Audition Neurotypical (N ​= ​10) TMS and event-related fields Minimum-norm estimate (eLORETA) Single shell head model (Nolte, 2003), based on individual MRs
Tesche and Karhu (1997) MEG Somatosensation Neurotypical (N ​= ​4) Event-related fields. Dipole time course estimation Single shell head model (Hämäläinen and Sarvas, 1989), based on individual MRs
Tesche and Karhu (2000) MEG Somatosensation Neurotypical (N ​= ​9) Event-related fields and oscillations. Dipole time course estimation Single shell head model (Hämäläinen and Sarvas, 1989), based on individual MRs
Hashimoto et al. (2003) MEG Somatosensation Neurotypical (N ​= ​12) Event-related fields Beamformer Single sphere head model, based on individual MRs
Andersen and Lundqvist (2019) MEG Somatosensation Neurotypical (N ​= ​20) Oscillations (theta and beta bands) Beamformer (DICS) Single shell head model (Nolte, 2003), based on individual MRs
Jousmäki et al. (1996) MEG Visuomotor Neurotypical (N ​= ​8) Event-related fields Dipole fitting Single sphere head model, based on individual MRs
Bourguignon et al. (2013) MEG Visuomotor Neurotypical (N ​= ​10) Long-range connectivity Beamformer (DICS) Not indicated
Cebolla et al. (2016) EEG Visuomotor Astronauts in space and on Earth (N ​= ​5) Oscillations (alpha band) Minimum-norm estimate (swLORETA) Boundary element method, layers not specified, based on template MR
Guggisberg et al. (2008) MEG Cognition Neurotypical (N ​= ​10) Oscillations (Gamma) Beamformer Multiple spheres head model, based on individual MRs
Guggisberg et al. (2011) MEG Cognition Neurotypical (N ​= ​11) Oscillations (Gamma) Beamformer Multiple spheres head model, based on individual MRs
Styliadis et al. (2015) MEG Emotion Neurotypical (N ​= ​12) Oscillations (Gamma) Beamformer (SAM) Multiple spheres head model, based on individual MRs
Niedermeyer and Uematsu (1974) EEG Epilepsy Epileptic patients (N ​= ​3, ages 16, 18, 34) Ictal and apparently normal sleep/drowsiness waveforms Simultaneous intracranial EEG None
Mohamed et al. (2011) MEG Epilepsy Epileptic child (N ​= ​1) Ictal and validated with iEEG Beamformer Not indicated
Lascano et al. (2013) EEG Epilepsy Epileptic child (N ​= ​1) Intal and interictal. Minimum-norm-estimate (LAURA) Spherical Model with Anatomical Constraints (Spinelli et al., 2000) with individual MR
Elshoff et al. (2013) EEG Epilepsy Epileptic children (N ​= ​11) Ictal Beamformer (DICS) Five-concentric-spheres model with a single sphere for each layer corresponding to the white matter, grey matter, cerebral spinal fluid (CSF), skull and skin, based on individual MRs
Kujala et al. (2007) MEG Reading Neurotypical (N ​= ​9) Oscillations (alpha) and phase coupling Beamformer (DICS) Single-layer Boundary Element Method, based on individual MRs∗
Brookes et al. (2011) MEG Resting state Neurotypical (N ​= ​10) Independent components Beamformer Not indicated
Wibral et al. (2011) MEG Auditory memory Neurotypical (N ​= ​22) Oscillations (Gamma) and transfer entropy Beamformer Single shell head model (Nolte, 2003), based on individual MRs
Lin et al. (2019) Optically pumped magnetometers Air-puffs to the eyes Neurotypical (N ​= ​3) Event-related fields and oscillations Dipole fitting (event-related fields) and beamformer (oscillations) Single shell head model (Nolte, 2003), based on individual MRs