Abstract
Simultaneous magnetoencephalography (MEG) and local field potential (LFP) recordings in patients with Parkinson’s disease (PD) undergoing deep brain stimulation (DBS) treatment is a promising tool for both clinical application and basic research. Recordings can be accomplished during the time interval between electrode insertion and its connection to the pulse generator while electrodes are being externalized. In nine PD patients, coherence (COH) between LFP and MEG signals was calculated from the data of a 5-min simultaneous MEG-LFP rest recording. For the observed COH patterns, a validation procedure is introduced based on time-shift principal component analysis (TSPCA), which was originally developed to suppress background signals from MEG. Here TSPCA is used as a regression of the MEG signal with filtered versions of the LFP signal to intentionally remove COH. The channel mean of the original COH is compared with the residual channel mean COH after TSPCA application. COH peaks are suppressed in the 15- to 30-Hz range; at lower frequencies, the results are less obvious due to the presence of an artifact caused by a weak remanent magnetization of the externalization wires. The COH suppression is statistically significant for four out of nine subjects, and validation has been achieved, as the COH suppression yields the hypothesized outcome.
We would like to thank V. Litvak, A. de Cheveigné, and K. Obermayer for helpful discussions and support. Two open-source software packages used here are gratefully acknowledged: FieldTrip (fieldtrip.fcdonders.nl) and NoiseTools (audition.ens.fr/adc/NoiseTools). A.B. was supported by a fellowship from the “Dr. Robert Leven und Dr. Maria Leven-Nievelstein-Stiftung”. This work was supported by a grant from the German Research Foundation to A.A.K. (DFG KFO 247).
References
[1] Amjad AM, Halliday DM, Rosenberg JR, Conway BA. An extended difference of coherence test for comparing and combining several independent coherence estimates: theory and application to the study of motor units and physiological tremor. J Neurosci Methods 1997; 73: 69–79.10.1016/S0165-0270(96)02214-5Suche in Google Scholar
[2] Bock A, Kühn AA, Trahms L, Sander TH. Cardiac cycle artefact removal in magnetoencephalographic data of patients with deep brain electrodes. In: Van Huffel S, Correia C, Fred A, Gamboa H, editors. Vilamoura, Portugal: SciTe Press – Science and Technology Publications 2012: 325–328.Suche in Google Scholar
[3] Brown P, Williams D. Basal ganglia local field potential activity: character and functional significance in the human. Clin Neurophysiol 2005; 116: 2510–2519.10.1016/j.clinph.2005.05.009Suche in Google Scholar
[4] de Cheveigné A, Simon JZ. Denoising based on time-shift PCA. J Neurosci Methods 2007; 165: 297–305.10.1016/j.jneumeth.2007.06.003Suche in Google Scholar
[5] Grosse P, Cassidy MJ, Brown P. EEG-EMG, MEG-EMG and EMG-EMG frequency analysis: physiological principles and clinical applications. Clin Neurophysiol 2002; 113: 1523–1531.10.1016/S1388-2457(02)00223-7Suche in Google Scholar
[6] Hammond C, Bergman H, Brown P. Pathological synchronization in Parkinson’s disease: networks, models and treatments. Trends Neurosci 2007; 30: 357–364.10.1016/j.tins.2007.05.004Suche in Google Scholar PubMed
[7] Hirschmann J, Özkurt TE, Butz M, et al. Distinct oscillatory STN-cortical loops revealed by simultaneous MEG and local field potential recordings in patients with Parkinson’s disease. Neuroimage 2011; 55: 1159–1168.10.1016/j.neuroimage.2010.11.063Suche in Google Scholar PubMed
[8] Kühn AA, Williams D, Kupsch A, et al. Event-related beta desynchronization in human subthalamic nucleus correlates with motor performance. Brain 2004; 127: 735–746.10.1093/brain/awh106Suche in Google Scholar PubMed
[9] Levy R, Ashby P, Hutchison WD, Lang AE, Lozano AM, Dostrovsky JO. Dependence of subthalamic nucleus oscillations on movement and dopamine in Parkinson’s disease. Brain 2002; 125: 1196–1209.10.1093/brain/awf128Suche in Google Scholar PubMed
[10] Litvak V, Eusebio A, Jha A, et al. Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients. Neuroimage 2010; 50: 1578–1588.10.1016/j.neuroimage.2009.12.115Suche in Google Scholar PubMed PubMed Central
[11] Litvak V, Jha A, Eusebio A, et al. Resting oscillatory cortico-subthalamic connectivity in patients with Parkinson’s disease. Brain 2011; 134: 359–374.10.1093/brain/awq332Suche in Google Scholar PubMed
[12] Litvak V, Eusebio A, Jha A, et al. Movement-related changes in local and long-range synchronization in Parkinson’s disease revealed by simultaneous magnetoencephalography and intracranial recordings. J Neurosci 2012; 32: 10541–10553.10.1523/JNEUROSCI.0767-12.2012Suche in Google Scholar PubMed PubMed Central
[13] Maris E, Schoeffelen JM, Fries P. Nonparametric statistical testing of coherence differences. J Neurosci Methods 2007; 163: 161–175.10.1016/j.jneumeth.2007.02.011Suche in Google Scholar PubMed
[14] Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M. Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol 2004; 115: 2292–2307.10.1016/j.clinph.2004.04.029Suche in Google Scholar PubMed
[15] Sander TH, Burghoff M, Van Leeuwen P, Trahms L. Application of decorrelation independent component analysis to biomagnetic multi-channel measurements. Biomed Tech (Berl) 2007; 52: 130–136.10.1515/BMT.2007.025Suche in Google Scholar PubMed
[16] Sander TH, Bock A, Leistner S, Kühn AA, Trahms L. Coherence and imaginary part of coherency identifies cortico-muscular and cortico-thalamic coupling. Buenos Aires, Argentina: IEEE EMBS – Engineering in Medicine and Biology Society 2010: 1714–1717.10.1109/IEMBS.2010.5626851Suche in Google Scholar PubMed
[17] Silberstein P, Kühn AA, Kupsch A, et al. Patterning of globus pallidus local field potentials differs between Parkinson’s disease and dystonia. Brain 2003; 126: 2597–2608.10.1093/brain/awg267Suche in Google Scholar PubMed
[18] Volegov P, Matlachov A, Mosher J, Espy MA, Kraus RH Jr. Noise-free magnetoencephalography recordings of brain function. Phys Med Biol 2004; 49: 2117–2128.10.1088/0031-9155/49/10/020Suche in Google Scholar PubMed
©2013 by Walter de Gruyter Berlin Boston
Artikel in diesem Heft
- Masthead
- Masthead
- Editorial
- Young scientist award papers from the workshop on bioelectric and biomagnetic signal processing 2012
- Research articles
- Ectopic beats and their influence on the morphology of subsequent waves in the electrocardiogram
- Online learning algorithms for principal component analysis applied on single-lead ECGs
- Coupling analysis of transient cardiovascular dynamics
- Multiple circular-circular correlation coefficients for the quantification of phase synchronization processes in the brain
- Validity of subthalamic-cortical coherency observed in patients with Parkinson’s disease
- Identifying causal networks of neuronal sources from EEG/MEG data with the phase slope index: a simulation study
- QRS complex duration enhancement as ventricular late potential indicator by signal-averaged ECG using time-amplitude alignments
- Are there any differences in various polyaxial locking systems? A mechanical study of different locking screws in multidirectional angular stable distal radius plates
- Integrating strength tests of amputees within the protocol of conventional clinical gait analysis: a novel approach
- Simultaneous assessment of autonomic nervous and vascular endothelial functions in a rat model
Artikel in diesem Heft
- Masthead
- Masthead
- Editorial
- Young scientist award papers from the workshop on bioelectric and biomagnetic signal processing 2012
- Research articles
- Ectopic beats and their influence on the morphology of subsequent waves in the electrocardiogram
- Online learning algorithms for principal component analysis applied on single-lead ECGs
- Coupling analysis of transient cardiovascular dynamics
- Multiple circular-circular correlation coefficients for the quantification of phase synchronization processes in the brain
- Validity of subthalamic-cortical coherency observed in patients with Parkinson’s disease
- Identifying causal networks of neuronal sources from EEG/MEG data with the phase slope index: a simulation study
- QRS complex duration enhancement as ventricular late potential indicator by signal-averaged ECG using time-amplitude alignments
- Are there any differences in various polyaxial locking systems? A mechanical study of different locking screws in multidirectional angular stable distal radius plates
- Integrating strength tests of amputees within the protocol of conventional clinical gait analysis: a novel approach
- Simultaneous assessment of autonomic nervous and vascular endothelial functions in a rat model