We used previously analysed MEG data from 13 healthy subjects, where they formed part of studies on Parkinson's disease for which approval was obtained from the medical ethics committee of the VU University Medical Center. In these studies oscillatory power, as well as functional connectivity and network characteristics at the sensor level, were estimated and compared between healthy controls and demented and non-demented patients with Parkinson's disease (Bosboom et al., 2006, 2009 ).
All subjects gave written informed consent prior to participating. MEG data were acquired in the morning, using a 151-channel whole head MEG system (CTF Systems Inc., Port Coquitlam, Canada), situated in a magnetically shielded room (Vacuum-schmelze GmbH, Hanau, Germany). The data were sampled at 312.5 Hz, with a recording pass-band of 0–125 Hz, and a third-order software gradient was applied (Vrba and Robinson, 2002 ). Each session started with an approximately 5 minutes eyes-closed (EC) resting-state recording, followed by an approximately 5 minutes eyes-open (EO) recording. We only analysed the data recorded during the eyes-closed resting-state. Due to technical problems, 1–3 channels were discarded from the analysis (3, 3, and 7 datasets contained 148, 149, and 150 channels, respectively). For the construction of the beamformer weights, the eyes-closed data were band-pass filtered from 0.5 to 48 Hz, and after visual inspection, trials containing artefacts were removed. A time-window of, on average, 264.2 seconds (range: 175–360 s.) was used for the computation of the data covariance matrix. Broadband data were used for the estimation of the beamformer weights as this avoids overestimation of covariance between channels (Barnes and Hillebrand, 2003 (
link)).
For each subject, an anatomical MRI of the head was obtained at 1 T (Impact, Siemens, Erlangen, Germany), with an in-plane resolution of 1 mm and slice thickness of 1.5 mm. Vitamin E capsules were placed at anatomical landmarks, the pre-auricular points and the nasion, to guide co-registration with the MEG data. In the MEG setting, three head position indicator coils were placed at the same fiducial locations, and these coils were activated at the start of each MEG acquisition. Head position and orientation were computed on the basis of the magnetic fields produced by these coils. Using these two corresponding sets of fiducial markers, the MEG and MRI coordinate systems were matched. The co-registered MRI was subsequently segmented, and the outline of the scalp was used to compute a multi-sphere head model (Huang et al., 1999 (
link)) for the calculation of the lead-fields.
Hillebrand A., Barnes G.R., Bosboom J.L., Berendse H.W, & Stam C.J. (2012). Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution. Neuroimage, 59(4-2), 3909-3921.