Advanced time-series analysis of MEG data as a method to explore olfactory function in healthy controls and Parkinson's disease patients.
| Autor: | Boesveldt S; Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands. sboesveldt@monell.org, Stam CJ, Knol DL, Verbunt JP, Berendse HW |
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| Jazyk: | angličtina |
| Zdroj: | Human brain mapping [Hum Brain Mapp] 2009 Sep; Vol. 30 (9), pp. 3020-30. |
| DOI: | 10.1002/hbm.20726 |
| Abstrakt: | Objectives: To determine whether time-series analysis of magnetoencephalography (MEG) data is a suitable method to study brain activity related to olfactory information processing, and to detect differences in odor-induced brain activity between patients with Parkinson's disease (PD) and controls. Methods: Whole head 151-channel MEG recordings were obtained in 21 controls and 20 patients with PD during a 10-min olfactory stimulus paradigm, consisting of 10 alternating rest-stimulus cycles (30 s each), using phenylethyl alcohol administered by means of a Burghart olfactometer. Relative spectral power and synchronization likelihood (SL; an unbiased measure of functional connectivity) were calculated for delta, theta, alpha1, alpha2, beta, and gamma frequency bands. Results: In controls, olfactory stimulation produced an increase in theta power and a decrease in beta power. In patients with PD, there was a decrease in alpha1 power. No significant interaction between group and condition was found for spectral power. SL analysis revealed a significantly different response to olfactory stimulation in patients with PD compared to controls. In controls, the odor stimulus induced a decrease in local beta band SL. The response in patients with PD involved a decrease in intrahemispheric alpha2 band SL. Conclusion: This is the first study to show that time-series analysis of MEG data, including spectral power and SL, can be used to detect odor-induced changes in brain activity. In addition, differences in odor-induced brain activity were found between patients with PD and controls using analysis of SL, but not of spectral power. (2009 Wiley-Liss, Inc.) |
| Databáze: | MEDLINE |
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