Mathieu Bourguignon1, Stephen Whitmarsh2, Harri Piitulainen3, Riitta Hari3, Veikko Jousmäki3, Daniel Lundqvist2. 1. Brain Research Unit, Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, PO Box 15100, FI-00076 Aalto, Espoo, Finland. Electronic address: mathieu.bourguignon@aalto.fi. 2. NatMEG, Department of Clinical Neuroscience, Karolinska Institutet, Nobels väg 9, 171 77 Stockholm, Sweden. 3. Brain Research Unit, Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, PO Box 15100, FI-00076 Aalto, Espoo, Finland.
Abstract
OBJECTIVE: Corticokinematic coherence (CKC) is the coupling between magnetoencephalographic (MEG) signals and limb kinematics during fast movements. Our objective was to assess the robustness of CKC-based identification of the primary sensorimotor (SM1) cortex of subjects producing strong magnetic artifacts when the MEG signals were cleaned with temporal signal space separation (tSSS). METHODS: We recorded MEG during active and passive forefinger movements and during median-nerve stimulation in the following conditions: (1) artifact-free, (2) a magnetic wire attached to the scalp at C3 location, and (3) a magnetic wire attached behind the lower central incisors. Data were pre-processed with tSSS and analyzed using standard CKC methods, somatosensory evoked fields (SEFs), and dipole modeling. RESULT: Artifacts were effectively suppressed by tSSS, enabling successful identification of the SM1 cortex in all subjects based on CKC and SEFs. The sources were in artifact conditions ∼5 mm away from the sources identified in artifact-free conditions. CONCLUSION: tSSS suppressed artifacts strongly enough to enable reliable identification of the SM1 cortex on the basis of CKC mapping, with localization accuracy comparable to SEF-based mapping. SIGNIFICANCE: The results suggest that CKC can be used for SM1 cortex identification and for studies of proprioception even in patients implanted with magnetic material.
OBJECTIVE: Corticokinematic coherence (CKC) is the coupling between magnetoencephalographic (MEG) signals and limb kinematics during fast movements. Our objective was to assess the robustness of CKC-based identification of the primary sensorimotor (SM1) cortex of subjects producing strong magnetic artifacts when the MEG signals were cleaned with temporal signal space separation (tSSS). METHODS: We recorded MEG during active and passive forefinger movements and during median-nerve stimulation in the following conditions: (1) artifact-free, (2) a magnetic wire attached to the scalp at C3 location, and (3) a magnetic wire attached behind the lower central incisors. Data were pre-processed with tSSS and analyzed using standard CKC methods, somatosensory evoked fields (SEFs), and dipole modeling. RESULT: Artifacts were effectively suppressed by tSSS, enabling successful identification of the SM1 cortex in all subjects based on CKC and SEFs. The sources were in artifact conditions ∼5 mm away from the sources identified in artifact-free conditions. CONCLUSION: tSSS suppressed artifacts strongly enough to enable reliable identification of the SM1 cortex on the basis of CKC mapping, with localization accuracy comparable to SEF-based mapping. SIGNIFICANCE: The results suggest that CKC can be used for SM1 cortex identification and for studies of proprioception even in patients implanted with magnetic material.
Authors: Minna Pitkänen; Shogo Yazawa; Katja Airaksinen; Pantelis Lioumis; Jussi Nurminen; Eero Pekkonen; Jyrki P Mäkelä Journal: Brain Topogr Date: 2019-05-15 Impact factor: 3.020
Authors: Harri Piitulainen; Santtu Seipäjärvi; Janne Avela; Tiina Parviainen; Simon Walker Journal: Front Aging Neurosci Date: 2018-06-14 Impact factor: 5.750