Test-retest reliability of resting-state magnetoencephalography power in sensor and source space

Abstract

Several studies have reported changes in spontaneous brain rhythms that could be used as clinical biomarkers or in the evaluation of neuropsychological and drug treatments in longitudinal studies using magnetoencephalography (MEG). There is an increasing necessity to use these measures in early diagnosis and pathology progression; however, there is a lack of studies addressing how reliable they are. Here, we provide the first test-retest reliability estimate of MEG power in resting-state at sensor and source space. In this study, we recorded 3 sessions of resting-state MEG activity from 24 healthy subjects with an interval of a week between each session. Power values were estimated at sensor and source space with beamforming for classical frequency bands: delta (2-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), low beta (13-20 Hz), high beta (20-30 Hz), and gamma (30-45 Hz). Then, test-retest reliability was evaluated using the intraclass correlation coefficient (ICC). We also evaluated the relation between source power and the within-subject variability. In general, ICC of theta, alpha, and low beta power was fairly high (ICC > 0.6) while in delta and gamma power was lower. In source space, fronto-posterior alpha, frontal beta, and medial temporal theta showed the most reliable profiles. Signal-to-noise ratio could be partially responsible for reliability as low signal intensity resulted in high within-subject variability, but also the inherent nature of some brain rhythms in resting-state might be driving these reliability patterns. In conclusion, our results described the reliability of MEG

Test-retest reliability of a single-channel, wireless EEG system

“…These findings are in accord with reliability data obtained for conventional lab-based EEG recording systems (Fernández et al, 1993, McEvoy et al, 2000, Salinsky et al, 1991, Burgess and Gruzelier, 1993, Corsi-Cabrera et al, 2007, Cannon et al, 2012. Reliability values from the portable EEG device also compare well to those reported for other commonly utilized functional measures, include resting (Zuo and Xing, 2014) and active fMRI (Bennett and Miller, 2010), PET/SPECT (Egerton et al, 2010, Catafau et al, 2008, and MEG (Martín-Buro et al, 2016). The reliability of conventional EEG systems has also been demonstrated over periods in excess of one-year (Näpflin et al, 2007, Hatz et al, 2014, Vuga et al, 2006, Gevins et al, 2012.…”

Attention training improves aberrant neural dynamics during working memory processing in veterans with PTSD

“…Such a repeated session would have provided a powerful control for natural variability over time in WM responses. We did not collect a second MEG session in controls because of the cost of MEG, and because there are many publications that have shown high test–retest reliability for MEG metrics (Ahonen, Huotilainen, & Brattico, 2016; Becker et al, 2012; Edgar et al, 2015; Martín-Buro, Garcés, & Maestú, 2016; Tan, Gross, & Uhlhaas, 2015). Importantly, Ahonen and colleagues (2016) found that neurophysiological responses during an N -back WM task were highly reliable.…”

Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics

“…For each parcel, the PSDs were averaged across subjects and runs, and then normalized such that the integrated PSD over the range 3-50 Hz equals 1. Analyses were performed on these cortical relative power maps, as in prior studies (Mellem et al, 2017;Hillebrand et al, 2012;Martín-Buro et al, 2016). The relative power map, defined for a particular frequency or band, provides a regional topography of the relative contribution of that frequency to the region's power.…”