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Elsevier, Clinical Neurophysiology, 7(124), p. 1277-1282

DOI: 10.1016/j.clinph.2012.03.082

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Utility of Temporally-Extended Signal Space Separation Algorithm for Magnetic Noise from Vagal Nerve Stimulators

This paper is available in a repository.
This paper is available in a repository.

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Data provided by SHERPA/RoMEO

Abstract

OBJECTIVE: To evaluate the utility of a temporally-extended signal space separation algorithm (tSSS) for patients with vagal nerve stimulator (VNS). METHODS: We evaluated median nerve somatosensory evoked responses (SER) of magnetoencephalography (MEG) in 27 VNS patients (48 sides) with/without tSSS processing. We classified SER dipoles as 'acceptable' if: (A) the location of the dipole was in the expected location in the central sulcus, and (B) the goodness of fit value (GOF) was greater than 80%. We evaluated (1) the number of sides which produced acceptable dipoles in each dataset (i.e. with/without tSSS processing), and in cases where the both data produced reliable dipoles, (2) compared their GOFs and the 95% confidence volumes (CV) (mm(3)). Statistical differences in the GOF and CV between with/without tSSS conditions were determined by paired t test. RESULTS: Only 11 (23%) responses had reliable dipoles without tSSS processing, while all 48 (100%) had acceptable dipoles under tSSS processing. Additionally, the latter group had significantly higher GOF (increased by 7% on average) and lower CV (mean decrease of 200mm(3)) than the former (p<0.01). CONCLUSIONS: Processing with tSSS quantitatively improves dipole fitting of known sources in VNS patients. SIGNIFICANCE: This algorithm permits satisfactory MEG testing in the relatively commonly encountered epilepsy patient with VNS.