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(Stroke. 2009;40:1683.)
© 2009 American Heart Association, Inc.
Original Contributions |
From the Department of Neurology (S.L., M.W., G.C., B.-M.M.), Campus Benjamin Franklin, Charite-Universitaetsmedizin Berlin, Berlin, Germany; Physikalisch-Technische Bundesanstalt (T.S., M.B., L.T.), Berlin, Germany; and the Department of Neurology (B.-M.M.), Vivantes Auguste-Viktoria-Klinikum, Berlin, Germany.
Correspondence to Stefanie Leistner, MD, Charite-Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, D-12200 Berlin, Germany. E-mail stefanie.leistner{at}charite.de
| Abstract |
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Methods— A simple motor condition was used to induce physiological cortical infraslow field changes. Five patients in a subacute state after ischemic stroke performed self-paced simple finger movements (30-second periods of finger movements, always separated by 30-second periods of rest, for a total of 15 minutes). Near-DC-magnetoencephalography signals were recorded over the contralateral primary motor cortex for the affected and unaffected hemisphere, respectively.
Results— In all patients, the time courses of the contralateral cortical field amplitudes in the infraslow frequency range followed closely the motor task cycles revealing statistically significant differences between finger movement and rest periods. In 4 of 5 patients, infraslow field amplitudes were significantly stronger over the unaffected hemisphere compared with the affected hemisphere.
Conclusions— This study demonstrates that cortical infraslow activity can be recorded noninvasively in patients in the subacute state after ischemic stroke. It is suggested that near-DC-magnetoencephalography is a promising tool to also detect cortical spreading depolarization noninvasively.
Key Words: infraslow (<0.1 Hz) potentials MEG stroke
| Introduction |
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CSD is characterized by a mass depolarization of neurons that is accompanied by a large infraslow potential change (approximately <0.05 Hz) and a spreading depression of high-frequency neuronal activity (approximately >0.05 Hz). The intracortical recording of this infraslow potential change with microelectrodes in fact represents the gold standard to measure CSD in animals.
Magnetoencephalography (MEG) has been found capable to record infraslow activity in healthy subjects noninvasively. Infraslow potentials are also interesting for the assessment of functional activity and might help to characterize the repair after neuronal injury. Functional restitution after stroke is governed by several factors such as lesion localization, adaptive and compensatory processes, and local reorganization. Little is known about if and how neurovascular mechanisms after stroke are modified. In particular, longitudinal studies after stroke are missing. The longitudinal poststroke assessment of infraslow neuronal changes using near-DC-MEG could allow deriving possible prognostic factors.
The present feasibility study examined if near-DC-MEG can be performed and cortical field changes in the infraslow frequency range can be recorded also in patients with stroke. The feasibility to qualitatively and quantitatively analyze infraslow cortical signals in patients with stroke would open up the avenue to further develop the technology for the monitoring of CSDs in patients with stroke and to assess the progress of repair in rehabilitation studies.
| Materials and Methods |
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Five consecutive patients with arm paresis due to ischemic stroke of the motor cortex were investigated during their stay in the hospital using an in-house MEG with modulation facility enabling DC recordings. On patient admission and the day of MEG measurement, the leading clinical symptoms, ie, the National Institutes of Health Stroke Scale, modified Rankin Scale, and Barthel Index were documented. Hand motor strength was graded according to the Medical Research Council Scale. Handedness of the subjects was tested using the Edinburgh Handedness Inventory. All patients received CT in 4- to 8-mm slices. Ischemic infarct localization, size, and etiology were documented.
Directly before the near-DC-MEG recordings, the phasic somatosensory evoked magnetic response "N20m" was recorded using conventional AC-MEG recording techniques and localized conventionally using a single dipole model (for recording details, see Mackert et al6). The localization of this response served as a functional "landmark" identifying the primary somatosensory hand cortex in each subject. Because the N20 is known to be generated by the pyramidal neurons of area 3b, the tonic motor-related field can be spatially related to this well-established primary somatosensory cortex source.7 Two patients refused the N20 measurements due to concerns about the electric impulses.
Infraslow MEG signals were recorded over the affected and unaffected hemisphere in a randomized order. As exemplary physiological activation modality, an established motor paradigm was chosen, which is simply practicable.6,8 Patients performed self-paced simple finger movements, which were trained before the recording session. Patients were instructed to bend the fingers only slightly without great muscular effort. For a total of 15 minutes recording time, 30-second periods of finger movements following a prerecorded spoken instruction were monitored above the contralateral hemisphere by MEG. Each movement period was followed by a 30-second rest period. In total, 30 minutes recording time was performed (affected and unaffected hemisphere). To assess reliably the movement onset time, the surface electromyogram was recorded from forearm muscles.
For the recording of infraslow magnetic fields, a modulation-based MEG technique was used inside a conventional magnetically shielded room. Patients were lying in a supine position on a sinusoidally horizontally moving bed with a multichannel planar 49-channel SQUID device positioned tangentially over the pericentral motor cortex representing the hand area. The bed/head modulation transposed cranial infraslow fields to the modulation frequency of 0.4 Hz, in which the magnetic noise is much lower than <0.1 Hz. Magnetic fields were recorded with a bandpass from 0.016 to 64 Hz with a sampling rate of 250 Hz. The infraslow field values were calculated by demodulation and reconstruction using an extended current source. Experimental setup, data acquisition, and analysis were performed according to previous study protocols (for technical and methodical details and data analysis, see Mackert et al,6 Wübbeler et al,9 Mackert et al,10 and Sander et al.11
| Results |
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In all data sets, finger movements were accompanied by motor-related infraslow magnetic field changes over the contralateral motor cortex, which were clearly above noise level. These infraslow field changes were characterized by a fast increase of field strength at the beginning of activation, sustained field amplitudes during the 30-second activation, and a slower decrease after the end of the finger movement (Figure 1).
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In 2 patients (S1 and S2), motor output (using electromyography) and heart rate were monitored. In patient S1, electromyographic activity was approximately 60% stronger on the healthy compared with the affected side, but muscle action was clearly visible on both sides. Heart rate was approximately 80 beats/min for both sides. In patient S2, electromyographic strength was similar on the healthy and affected sides with muscle action clearly visible. Heart rate was approximately 75 beats/min for both sides.
For the data analysis, averaged signals over 30 periods were used. (The recording technique allows also data analysis on a single trial basis.6) The amplitudes of motor-related infraslow field changes were significantly stronger for the unaffected compared with the affected hemisphere in 4 of 5 patients (S1 to S4) and in one case approximately the same (S5; mean amplitude: 496.0 fT±70.0 versus 268.5 fT±51.3, paired t test; see Figure 1 and Table). Subjects with cortical infarcts (S1 and S2) showed the clearest difference in the motor-induced field changes.
In 3 patients, the spatial motor-related field patterns of the unaffected hemisphere had a predominantly dipolar structure compared with predominantly distorted patterns over the affected hemisphere (Figure 2). Thereby, the dipolar generator was individually located close to the N20 field pattern.
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| Discussion |
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By analyzing temporal dynamics, strength of amplitude, and field pattern, the physiological stimulus condition revealed stable and clearly separable activation-related infraslow field changes above noise level in all patients. The profiles of infraslow magnetic fields followed the motor activation closely during the 30-minute recording session as known from studies in healthy subjects.6,10,12,13 A fast increase of the amplitude was recorded at the beginning of finger movements. Sustained elevated amplitudes were seen during the activation period over 30 seconds. A slower decrease characterized the period after the finger movements.
Beyond revealing stable signal changes, the noninvasive DC-MEG technique allowed to detect intraindividual differences. In 4 of 5 patients, the motor-related activation generated significantly stronger infraslow signals over the unaffected compared with the affected hemispheres. Thereby, the clearest difference was found for subjects with cortical lesions compared with subcortical lesions. Because cortical lesions affect a greater cerebral network, cortical lesions are expected to cause the greater reduction of activation-related amplitudes. However, because functional asymmetry, eg, caused by handedness14 or performance differences due to the degree of individual functional impairment,15,16 could also contribute to the differential results, follow-up studies have to further characterize these findings.
The reconstructed motor-related infraslow magnetic field pattern displayed a predominantly bipolar structure over the unaffected hemisphere, whereas the spatial pattern over the affected hemisphere was not bipolar or showed major distortions.
| Summary |
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| Acknowledgments |
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Supported by BMBF Grants GF GO 01184601, 01 GO 0208, 01 GO 0518, and DFG Cu 36/1-3,5,6, and Center for Stroke Research Berlin.
Disclosures
None.
Received August 31, 2008; revision received October 29, 2008; accepted November 3, 2008.
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