MEG’s ability to localise accurately weak transient neural sources
Abstract
Objective
To investigate the accurate localisation of weak, transient, neural sources under conditions of varying difficulty.
Methods
Multiple dipolar sources placed within a head-shaped phantom at superficial and deep locations were driven separately or simultaneously by a short-lasting current with varied amplitudes. Artificial MEG signals that were very similar to the human High Frequency Oscillations (HFO) were produced. MEG signals of HFO were also recorded from median nerve stimulation. Different inverse techniques were used to localise the phantom dipoles and the human HFO generators.
Results
The human HFO were measured around 200 and 600
Hz by using only 120 trials. The 200
Hz HFO were localised to BA3b. The superficial phantom’s source was localised with an accuracy of 2–3
mm by all inverse techniques (120 trials). The ‘subcortical’ source was localised with an error of ∼5
mm. Localisation of deeper ‘thalamic’ sources required more trials.
Conclusion
MEG can detect and localise weak transient activations and the human HFO with an accuracy of a few mm at cortical and subcortical regions even when a small number of trials are used.
Significance
Localizing HFO to specific anatomical structures has high clinical utility, for example in epilepsy, where discrete HFO appears to be generated just before focal epileptic activity.
Keywords: MEG, High Frequency Oscillations, Localisation, Phantom, ECD, MUSIC, SAM, MFT
Abbreviations: Av-ECD, Equivalent Current Dipole on averages, ECD, Equivalent Current Dipole, ECG, electrocardiogram, EEG, electroencephalography, EOG, electro-oculogram, GOF, goodness of fit, HFO, high frequency oscillation, ICA, independent component analysis, ITS, intertrial synchronization index, LE, localisation error, LGN, lateral geniculate nucleus, MEG, magnetoencephalography, MFT, Magnetic Field Tomography, MLS, multiple local spheres, MTH, motor threshold, MUSIC, MUltiple SIgnal Classification, NP, noise power, S1, primary somatosensory area, SAM, Synthetic Aperture Magnetometry, SEF, somatosensory-evoked field, SMA, supplementary motor area, SNR, signal-noise-ratio, SP, signal power, SPM, statistical parametric map, SS, single sphere, ST, single trial, STH, sensory threshold
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PII: S1388-2457(09)00522-7
doi:10.1016/j.clinph.2009.08.018
© 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Inc. All rights reserved.

