The cerebral oscillatory network of parkinsonian resting tremor

Data from experiments in MPTP monkeys as well as from invasive and non‐invasive recordings in patients with Parkinson’s disease suggest an abnormal synchronization of neuronal activity in the generation of resting tremor in Parkinson’s disease. In six patients with tremor‐dominant idiopathic Parkins...

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Veröffentlicht in:Brain (London, England : 1878) England : 1878), 2003-01, Vol.126 (1), p.199-212
Hauptverfasser: Timmermann, Lars, Gross, Joachim, Dirks, Martin, Volkmann, Jens, Freund, Hans‐Joachim, Schnitzler, Alfons
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container_title Brain (London, England : 1878)
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creator Timmermann, Lars
Gross, Joachim
Dirks, Martin
Volkmann, Jens
Freund, Hans‐Joachim
Schnitzler, Alfons
description Data from experiments in MPTP monkeys as well as from invasive and non‐invasive recordings in patients with Parkinson’s disease suggest an abnormal synchronization of neuronal activity in the generation of resting tremor in Parkinson’s disease. In six patients with tremor‐dominant idiopathic Parkinson’s disease, we recorded simultaneously surface electromyograms (EMGs) of hand muscles, and brain activity with a whole‐head magnetoencephalography (MEG) system. Using a recently developed analysis tool (Dynamic Imaging of Coherent Sources; DICS), we determined cerebro‐muscular and cerebro‐cerebral coherence as well as the partial coherence between cerebral areas and muscle, and localized coherent sources within the individual MRI scans. The phase lag between the EMG and cerebral activity was determined by means of a Hilbert transform of both signals. After overnight withdrawal from medication, patients showed typical Parkinson’s disease resting tremor (4–6 Hz). This tremor was associated with strong coherence between the EMG of forearm muscles and activity in the contralateral primary motor cortex (M1) at tremor frequency but also at double tremor frequency. Phase lags between M1 activity and EMG were between 15 and 25 ms (M1 activity leading) at single, but also at double tremor frequency, corresponding well to the corticomuscular conduction time. Furthermore, significant coherence was observed between M1 and medial wall areas (cingulate/supplementary motor area; CMA/SMA), lateral premotor cortex (PM), diencephalon, secondary somatosensory cortex (SII), posterior parietal cortex (PPC) and the contralateral cerebellum at single tremor and, even stronger at double tremor frequency. Spectra of coherence between thalamic activity and cerebellum as well as several brain areas revealed additional broad peaks around 20 Hz. Power spectral analysis of activity in all central areas indicated the strongest frequency components at double tremor frequency. Partial coherence analysis and the calculation of phase shifts revealed a strong bidirectional coupling between the EMG and diencephalic activity and a direct afferent coupling between the EMG and SII and the PPC. In contrast, the cerebellum, SMA/CMA and PM show little evidence for direct coupling with the peripheral EMG but seem to be connected with the periphery via other cerebral areas (e.g. M1). In summary, our results demonstrate tremor‐related oscillatory activity within a cerebral network, with abnormal coupling
doi_str_mv 10.1093/brain/awg022
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Phase lags between M1 activity and EMG were between 15 and 25 ms (M1 activity leading) at single, but also at double tremor frequency, corresponding well to the corticomuscular conduction time. Furthermore, significant coherence was observed between M1 and medial wall areas (cingulate/supplementary motor area; CMA/SMA), lateral premotor cortex (PM), diencephalon, secondary somatosensory cortex (SII), posterior parietal cortex (PPC) and the contralateral cerebellum at single tremor and, even stronger at double tremor frequency. Spectra of coherence between thalamic activity and cerebellum as well as several brain areas revealed additional broad peaks around 20 Hz. Power spectral analysis of activity in all central areas indicated the strongest frequency components at double tremor frequency. Partial coherence analysis and the calculation of phase shifts revealed a strong bidirectional coupling between the EMG and diencephalic activity and a direct afferent coupling between the EMG and SII and the PPC. In contrast, the cerebellum, SMA/CMA and PM show little evidence for direct coupling with the peripheral EMG but seem to be connected with the periphery via other cerebral areas (e.g. M1). In summary, our results demonstrate tremor‐related oscillatory activity within a cerebral network, with abnormal coupling in a cerebello‐diencephalic–cortical loop and cortical motor (M1, SMA/CMA, PM) and sensory (SII, PPC) areas contralateral to the tremor hand. 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In six patients with tremor‐dominant idiopathic Parkinson’s disease, we recorded simultaneously surface electromyograms (EMGs) of hand muscles, and brain activity with a whole‐head magnetoencephalography (MEG) system. Using a recently developed analysis tool (Dynamic Imaging of Coherent Sources; DICS), we determined cerebro‐muscular and cerebro‐cerebral coherence as well as the partial coherence between cerebral areas and muscle, and localized coherent sources within the individual MRI scans. The phase lag between the EMG and cerebral activity was determined by means of a Hilbert transform of both signals. After overnight withdrawal from medication, patients showed typical Parkinson’s disease resting tremor (4–6 Hz). This tremor was associated with strong coherence between the EMG of forearm muscles and activity in the contralateral primary motor cortex (M1) at tremor frequency but also at double tremor frequency. Phase lags between M1 activity and EMG were between 15 and 25 ms (M1 activity leading) at single, but also at double tremor frequency, corresponding well to the corticomuscular conduction time. Furthermore, significant coherence was observed between M1 and medial wall areas (cingulate/supplementary motor area; CMA/SMA), lateral premotor cortex (PM), diencephalon, secondary somatosensory cortex (SII), posterior parietal cortex (PPC) and the contralateral cerebellum at single tremor and, even stronger at double tremor frequency. Spectra of coherence between thalamic activity and cerebellum as well as several brain areas revealed additional broad peaks around 20 Hz. Power spectral analysis of activity in all central areas indicated the strongest frequency components at double tremor frequency. Partial coherence analysis and the calculation of phase shifts revealed a strong bidirectional coupling between the EMG and diencephalic activity and a direct afferent coupling between the EMG and SII and the PPC. In contrast, the cerebellum, SMA/CMA and PM show little evidence for direct coupling with the peripheral EMG but seem to be connected with the periphery via other cerebral areas (e.g. M1). In summary, our results demonstrate tremor‐related oscillatory activity within a cerebral network, with abnormal coupling in a cerebello‐diencephalic–cortical loop and cortical motor (M1, SMA/CMA, PM) and sensory (SII, PPC) areas contralateral to the tremor hand. 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Prion diseases</subject><subject>DICS</subject><subject>DICS = Dynamic Imaging of Coherent Sources</subject><subject>Diencephalon - physiopathology</subject><subject>EDC = extensor digitorum communis</subject><subject>Electromyography</subject><subject>EMG = electromyography</subject><subject>Female</subject><subject>Forearm</subject><subject>GPI = internal globus pallidus</subject><subject>Hand</subject><subject>Humans</subject><subject>M1 = primary motor cortex</subject><subject>Magnetic Resonance Imaging</subject><subject>Magnetoencephalography</subject><subject>Male</subject><subject>Medical sciences</subject><subject>MEG</subject><subject>MEG = magnetoencephalography</subject><subject>Middle Aged</subject><subject>Motor Cortex - physiopathology</subject><subject>Muscle, Skeletal - physiopathology</subject><subject>Neurology</subject><subject>Parkinson Disease - physiopathology</subject><subject>Parkinson’s disease</subject><subject>PM = premotor cortex</subject><subject>PPC = posterior parietal cortex</subject><subject>Signal Processing, Computer-Assisted</subject><subject>SII = secondary somatosensory cortex</subject><subject>SMA = supplementary motor areas</subject><subject>Somatosensory Cortex - physiopathology</subject><subject>STN = subthalamic nucleus</subject><subject>Subthalamic Nucleus - physiopathology</subject><subject>tremor</subject><subject>Tremor - physiopathology</subject><issn>0006-8950</issn><issn>1460-2156</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0c1LHDEYBvBQlO5qe-u5DIKenPrme-YkIq4WLaWwheIlZDIZjc4mazLLuv-9sbu44MVDyCE_Ht48L0LfMPzAUNOTJmrnT_TyDgj5hMaYCSgJ5mIHjQFAlFXNYYT2UnoAwIwS8RmNMGFSSpBjdDq9t4Wx0eaYvgjJuL7XQ4irwtthGeJjEbpiruOj8yl4p30RbRqcvyuGaGchfkG7ne6T_bq599HfycX0_Kq8-X358_zspjQcy6HUDWdCSFGxmsp8GDG1NhJ0C6RtuTGyBmxEw01Lu4ZaTCmRnQBrjK6w7Og-OlrnzmN4WuQR1MwlY_Ow3oZFUpJUFRWCfAgJcFIJXmd48A4-hEX0-RMK15wxDJJndLxGJoaUou3UPLqZjiuFQb3Wr_7Xr9b1Z_59k7loZrbd4k3fGRxugE5G913U3ri0dYwxQvFrULl2Lg32-e0970EJSSVXV_9uFWeTyZ9f10xN6Quh2Z1M</recordid><startdate>20030101</startdate><enddate>20030101</enddate><creator>Timmermann, Lars</creator><creator>Gross, Joachim</creator><creator>Dirks, Martin</creator><creator>Volkmann, Jens</creator><creator>Freund, Hans‐Joachim</creator><creator>Schnitzler, Alfons</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20030101</creationdate><title>The cerebral oscillatory network of parkinsonian resting tremor</title><author>Timmermann, Lars ; Gross, Joachim ; Dirks, Martin ; Volkmann, Jens ; Freund, Hans‐Joachim ; Schnitzler, Alfons</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-ab5466768493749342c9ac70ad02dd5cc7901c6b5cd3fb3e13327f60ecca817f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Brain - physiopathology</topic><topic>Cerebellum - physiopathology</topic><topic>CMA = cingulate motor area</topic><topic>coherence</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. 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In six patients with tremor‐dominant idiopathic Parkinson’s disease, we recorded simultaneously surface electromyograms (EMGs) of hand muscles, and brain activity with a whole‐head magnetoencephalography (MEG) system. Using a recently developed analysis tool (Dynamic Imaging of Coherent Sources; DICS), we determined cerebro‐muscular and cerebro‐cerebral coherence as well as the partial coherence between cerebral areas and muscle, and localized coherent sources within the individual MRI scans. The phase lag between the EMG and cerebral activity was determined by means of a Hilbert transform of both signals. After overnight withdrawal from medication, patients showed typical Parkinson’s disease resting tremor (4–6 Hz). This tremor was associated with strong coherence between the EMG of forearm muscles and activity in the contralateral primary motor cortex (M1) at tremor frequency but also at double tremor frequency. Phase lags between M1 activity and EMG were between 15 and 25 ms (M1 activity leading) at single, but also at double tremor frequency, corresponding well to the corticomuscular conduction time. Furthermore, significant coherence was observed between M1 and medial wall areas (cingulate/supplementary motor area; CMA/SMA), lateral premotor cortex (PM), diencephalon, secondary somatosensory cortex (SII), posterior parietal cortex (PPC) and the contralateral cerebellum at single tremor and, even stronger at double tremor frequency. Spectra of coherence between thalamic activity and cerebellum as well as several brain areas revealed additional broad peaks around 20 Hz. Power spectral analysis of activity in all central areas indicated the strongest frequency components at double tremor frequency. Partial coherence analysis and the calculation of phase shifts revealed a strong bidirectional coupling between the EMG and diencephalic activity and a direct afferent coupling between the EMG and SII and the PPC. In contrast, the cerebellum, SMA/CMA and PM show little evidence for direct coupling with the peripheral EMG but seem to be connected with the periphery via other cerebral areas (e.g. M1). In summary, our results demonstrate tremor‐related oscillatory activity within a cerebral network, with abnormal coupling in a cerebello‐diencephalic–cortical loop and cortical motor (M1, SMA/CMA, PM) and sensory (SII, PPC) areas contralateral to the tremor hand. The main frequency of cerebro‐cerebral coupling corresponds to double the tremor frequency.</abstract><cop>Oxford</cop><pub>Oxford University Press</pub><pmid>12477707</pmid><doi>10.1093/brain/awg022</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Biological and medical sciences
Brain - physiopathology
Cerebellum - physiopathology
CMA = cingulate motor area
coherence
Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases
DICS
DICS = Dynamic Imaging of Coherent Sources
Diencephalon - physiopathology
EDC = extensor digitorum communis
Electromyography
EMG = electromyography
Female
Forearm
GPI = internal globus pallidus
Hand
Humans
M1 = primary motor cortex
Magnetic Resonance Imaging
Magnetoencephalography
Male
Medical sciences
MEG
MEG = magnetoencephalography
Middle Aged
Motor Cortex - physiopathology
Muscle, Skeletal - physiopathology
Neurology
Parkinson Disease - physiopathology
Parkinson’s disease
PM = premotor cortex
PPC = posterior parietal cortex
Signal Processing, Computer-Assisted
SII = secondary somatosensory cortex
SMA = supplementary motor areas
Somatosensory Cortex - physiopathology
STN = subthalamic nucleus
Subthalamic Nucleus - physiopathology
tremor
Tremor - physiopathology
title The cerebral oscillatory network of parkinsonian resting tremor
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