Event-Related Changes of Band Power and Coherence: Methodology and Interpretation

Pfurtscheller, Gert; Andrew, Colin

doi:10.1097/00004691-199911000-00003

Cited by 210 publications

(141 citation statements)

References 39 publications

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“…Different methods focus on correlating different features of the spatiotemporal waveforms associated with the measured electrical activity. One approach evaluates the coherence, which is defined as the correlation in the frequency domain between EEG signals at different scalp sites (e.g., Pfurtscheller and Andrew, 1999). The amplitude of an EEG signal is thought to provide a measure of the amount of synchrony of a localized neural population within range of the scalp electrode.…”

Section: Functional and Effective Connectivity-a Very Brief Historymentioning

confidence: 99%

The elusive concept of brain connectivity

2003

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Section: Functional and Effective Connectivity-a Very Brief Historymentioning

confidence: 99%

The elusive concept of brain connectivity

2003

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“…Furthermore, on the basis of the lower cortical motor spectral power (SP) during UF described in Omlor et al (2011), we predicted stronger cortical motor desynchronization during UF, which would be reflected in smaller cortical motor SP. We also expected a stronger cortical activation, as measured by the task-related desynchronization (TRD) computed by the SP during the task with reference to a baseline (Pfurtscheller 1992;Pfurtscheller and Andrew 1999;Pfurtscheller and Aranibar 1977). We also expected higher muscular activation under the unpredictable frequency-modulation condition.…”

mentioning

confidence: 92%

The strength of the corticospinal coherence depends on the predictability of modulated isometric forces

Méndez-Balbuena

Naranjo

Wang

et al. 2013

Journal of Neurophysiology

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The strength of the corticospinal coherence depends on the predictability of modulated isometric forces. J Neurophysiol 109: 1579 -1588, 2013. First published December 19, 2012 doi:10.1152/jn.00187.2012.-Isometric compensation of predictably frequency-modulated low forces is associated with corticomuscular coherence (CMC) in beta and low gamma range. It remains unclear how the CMC is influenced by unpredictably modulated forces, which create a mismatch between expected and actual sensory feedback. We recorded electroencephalography from the contralateral hand motor area, electromyography (EMG), and the motor performance of 16 subjects during a visuomotor task in which they had to isometrically compensate target forces at 8% of the maximum voluntary contraction with their right index finger. The modulated forces were presented with predictable or unpredictable frequencies. We calculated the CMC, the cortical motor alpha-, beta-, and gamma-range spectral powers (SP), and the taskrelated desynchronization (TRD), as well as the EMG SP and the performance. We found that in the unpredictable condition the CMC was significantly lower and associated with lower cortical motor SP, stronger TRD, higher EMG SP, and worse performance. The findings suggest that due to the mismatch between predicted and actual sensory feedback leading to higher computational load and less stationary motor state, the unpredictable modulation of the force leads to a decrease in corticospinal synchrony, an increase in cortical and muscle activation, and a worse performance. coherence; human; predictable; oscillations; unpredictable THE BETA AND GAMMA OSCILLATIONS over the sensorimotor cortex are known to synchronize with oscillations in the contralateral motoneuronal pool that can be computed by coherence. Previous primate and human studies showed that beta-range corticomuscular coherence (CMC) is mainly associated with isometric compensation of steady-state forces (Baker and Baker 2003; Baker et al. 1997Baker et al. , 2006 Bressler 2009; Brown 2000; Cheyne et al. 2008;Conway et al. 1995; Engel and Fries 2010; Feige et al. 2000;Gross et al. 2000;Halliday et al. 1998;Houweling et al. 2010;Kristeva-Feige et al. 1993;Murthy and Fetz 1992, 1996a, 1996bPerez et al. 2006;Riddle and Baker 2006;Salenius et al. 1997;Sanes and Donoghue 1993;Tecchio et al. 2006;Witham et al. 2010). The CMC is most likely mediated by monosynaptic connections to the motoneurons (Baker et al. 2003;Conway et al. 1995). However, a large body of evidence was accumulated indicating that the CMC also represents sensory feedback from the moving part of the body (Baker et al. 2006). We have reported that the beta-range CMC is not specific for static forces only. The sensorimotor system may resort to stronger and also broader beta-range CMC to generate stable corticospinal interaction at higher force levels than 4% maximum voluntary contraction (MVC) when compensating for dynamic predictable frequency-modulated forces (from 8 to 16 and to 24% MVC) (Chakarov et al. 2009). Interesti...

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“…Analytical techniques which evaluate EEG signals in the frequency domain are able to capture this aspect of brain function, allowing the sensorimotor areas to be viewed as a dynamic network (Serrien et al 2004;Wheaton et al 2005a, b). As well, EEG provides high temporal resolution, which increases confidence in relating scalp-recorded brain activity with resultant behavior or movement (Pfurtscheller and Andrew 1999).…”

Section: Introductionmentioning

confidence: 99%

Preparatory band specific premotor cortical activity differentiates upper and lower extremity movement

et al. 2007

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Event related desynchronization (ERD) allows evaluation of brain signals in multiple frequency dimensions. The purpose of this study was to determine left hemispheric non-primary motor cortex differences at varying frequencies of premovement ERD for similar movements by endeffectors of the upper and lower extremities. We recorded 32-channel electroencephalography (EEG) while subjects performed self-paced right ankle dorsiflexion and wrist extension. Electromyography (EMG) was recorded over the tibialis anterior and extensor carpi ulnaris. EEG was analyzed for premovement ERD within the alpha (8-12 Hz), low beta (13-18 Hz) and high beta (18-22 Hz) frequencies over the premotor, motor, and sensory areas of the left and mesial cortex from −1.5 to 0 s before movement. Within the alpha and high beta bands, wrist movements showed limited topography, but greater ERD over posterior premotor cortex areas. Alpha ERD was also significantly greater over the lateral motor cortex for wrist movements. In the low beta band, wrist movements provided extensive ERD differences to include the left motor and mesial/ lateral premotor areas, whereas ankle movements showed only limited ERD activity. Overall, alpha and high beta activity demonstrated distinctions that are consistent with mapping of wrist Correspondence to: Lewis A. Wheaton, lwheaton@grecc.umaryland.edu. and ankle representations over the sensorimotor strip, whereas the low beta representation demonstrated the clearest distinctions between the limbs over widespread brain areas, particularly the lateral premotor cortex. This suggests limited leg premovement activity at the dorsolateral premotor cortex. Low beta ERD may be reflect joint or limb specific preparatory activity in the premotor area. Further work is required to better evaluate the extent of this low beta activity for multiple comparative joints. NIH Public Access

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Event-Related Changes of Band Power and Coherence: Methodology and Interpretation

Cited by 210 publications

References 39 publications

The elusive concept of brain connectivity

The elusive concept of brain connectivity

The strength of the corticospinal coherence depends on the predictability of modulated isometric forces

Preparatory band specific premotor cortical activity differentiates upper and lower extremity movement

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