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The effect of hypercapnia on resting and stimulus induced MEG signals

Authors :
Hall, Emma L.
Driver, Ian D.
Croal, Paula L.
Francis, Susan T.
Gowland, Penny A.
Morris, Peter G.
Brookes, Matthew J.
Source :
NeuroImage. Oct2011, Vol. 58 Issue 4, p1034-1043. 10p.
Publication Year :
2011

Abstract

Abstract: The effect of hypercapnia (an increase in CO2 concentration in the blood) on the functional magnetic resonance imaging (fMRI) blood oxygenation level dependent (BOLD) haemodynamic response has been well characterised and is commonly used for BOLD calibration. However, relatively little is known of the effect of hypercapnia on the electrical brain processes that underlie the BOLD response. Here, we investigate the effect of hypercapnia on resting and stimulus induced changes in neural oscillations using a feed-forward low gas flow system to deliver a reliable and repeatable level of hypercapnia. Magnetoencephalography (MEG) is used in conjunction with beamformer source localisation algorithms to non-invasively image changes in oscillatory amplitude. At rest, we find robust oscillatory power loss in the alpha (8Hz–13Hz), beta (13Hz–30Hz) and low gamma (30Hz–50Hz) frequency bands in response to hypercapnia. Further, we show that the spatial signature of this power loss differs across frequency bands, with the largest effect being observed for the beta band in sensorimotor cortices. We also measure changes in oscillatory activity induced by visual and motor events, and the effect of hypercapnia on these changes; whilst the percentage change in oscillatory activity on activation was largely unaffected by hypercapnia, the absolute change in oscillatory amplitude differed between normocapnia and hypercapnia. This work supports invasive recordings made in animals, and the results have potential implications for calibrated BOLD studies. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
10538119
Volume :
58
Issue :
4
Database :
Academic Search Index
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
65351216
Full Text :
https://doi.org/10.1016/j.neuroimage.2011.06.073