Real-Time Clustered Multiple Signal Classification (RTC-MUSIC) |
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| Authors: | Christoph Dinh Lorenz Esch Johannes Rühle Steffen Bollmann Daniel Güllmar Daniel Baumgarten Matti S. Hämäläinen Jens Haueisen |
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| Affiliation: | 1.Athinoula A. Martinos Center for Biomedical Imaging,Massachusetts General Hospital - Massachusetts Institute of Technology - Harvard Medical School,Charlestown,USA;2.Institute of Biomedical Engineering and Informatics,Technische Universit?t Ilmenau,Ilmenau,Germany;3.Centre for Advanced Imaging,University of Queensland,Brisbane,Australia;4.Medical Physics Group, Institute of Diagnostic and Interventional Radiology,University Hospital Jena,Jena,Germany;5.Institute of Electrical and Biomedical Engineering,University of Health Sciences, Medical Informatics and Technology (UMIT),Hall in Tirol,Austria;6.Biomagnetic Center, Clinic for Neurology,Jena University Hospital,Jena,Germany |
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| Abstract: | ![]()
Magnetoencephalography (MEG) and electroencephalography provide a high temporal resolution, which allows estimation of the detailed time courses of neuronal activity. However, in real-time analysis of these data two major challenges must be handled: the low signal-to-noise ratio (SNR) and the limited time available for computations. In this work, we present real-time clustered multiple signal classification (RTC-MUSIC) a real-time source localization algorithm, which can handle low SNRs and can reduce the computational effort. It provides correlation information together with sparse source estimation results, which can, e.g., be used to identify evoked responses with high sensitivity. RTC-MUSIC clusters the forward solution based on an anatomical brain atlas and optimizes the scanning process inherent to MUSIC approaches. We evaluated RTC-MUSIC by analyzing MEG auditory and somatosensory data. The results demonstrate that the proposed method localizes sources reliably. For the auditory experiment the most dominant correlated source pair was located bilaterally in the superior temporal gyri. The highest activation in the somatosensory experiment was found in the contra-lateral primary somatosensory cortex. |
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