Universidad Complutense de Madrid
E-Prints Complutense

Test-Retest Reliability of Resting-State Magnetoencephalography Power in Sensor and Source Space

Impacto

Downloads

Downloads per month over past year

Martín-Buro, María Carmen and Garcés, Pilar and Maestú Unturbe, Fernando (2015) Test-Retest Reliability of Resting-State Magnetoencephalography Power in Sensor and Source Space. Human brain mapping, 37 (1). pp. 179-190. ISSN 1065-9471

[img]
Preview
PDF
828kB

Official URL: http://dx.doi.org/10.1002/hbm.23027




Abstract

Several studies have reported changes in spontaneous brain rhythms that could be used asclinical 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 inhigh 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 power estimates in each frequency band, which could be considered in disease characterization or clinical trials.


Item Type:Article
Uncontrolled Keywords:MEG; Reliability, Esting state, Rain rhythms, Test-retest, Spectral power, Signal to noise ratio, Intraclass correlation coefficient
Palabras clave (otros idiomas):Coeficiente de correlación intraclase, Espectro de potencia, Fiabilidad, Magnetoencefalografía, Resting state, Ritmos cerebrales.
Subjects:Medical sciences > Psychology > Cognitive psychology
Medical sciences > Biology > Neurosciences
ID Code:39218
Deposited On:04 Oct 2016 14:05
Last Modified:29 Nov 2018 12:56

Origin of downloads

Repository Staff Only: item control page