Effects of attention and precision of exerted force on beta range EEG-EMG synchronization during a maintained motor contraction task

Kristeva-Feige, Rumyana; Fritsch, Christoph; Timmer, Jens; Ch, Lücking

doi:10.1016/s1388-2457(01)00722-2

Cited by 208 publications

(171 citation statements)

References 33 publications

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“…Although oscillations in both frequency bands are e↵ectively carried down the corticospinal tract (Baker et al, 2003), most studies using sustained contractions find that only beta-band oscillations are coherent between motor cortex and muscle activity Halliday et al, 1998;Baker et al, 1997;Gross et al, 2000). Corticomuscular beta-band coherence is most prominent during tonic muscle contractions and disappears during movement (Baker et al, 1997;Riddle and Baker, 2006;Kilner et al, 2000;Baker et al, 1999) and beta-band activity is enhanced when higher precision is required Kristeva-Feige et al, 2002;Witte et al, 2007;Gilbertson et al, 2005). These findings suggest that the beta-band activity is related to a mechanism that maintains the current sensorimotor state (Baker, 2007;Engel and Fries, 2010;Van Wijk et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

The reorganization of corticomuscular coherence during a transition between sensorimotor states

2014

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Recent research suggests that neural oscillations in di↵erent frequency bands support distinct and sometimes parallel processing streams in neural circuits. Studies of the neural dynamics of human motor control have primarily focused on oscillations in the beta band (15 30 Hz). During sustained muscle contractions, corticomuscular coherence is mainly present in the beta band, while coherence in the alpha (8 12 Hz) and gamma (30 80 Hz) bands has not been consistently found. Here we test the hypothesis that the frequency of corticomuscular coherence changes during transitions between sensorimotor states. Corticomuscular coherence was investigated in twelve participants making rapid transitions in force output between two targets. Corticomuscular coherence was present in the beta band during sustained contractions but vanished before movement onset, being replaced by transient synchronization in the alpha and gamma bands during dynamic force output. Analysis of the phase spectra suggested a time delay from muscle to cortex for alpha-band coherence, by contrast to a time delay from cortex to muscle for gamma-band coherence, indicating a↵erent and e↵erent corticospinal interactions respectively. Moreover, alpha and gamma -band coherence revealed distinct spatial topologies, suggesting di↵erent generative mechanisms. Coherence in the alpha and gamma bands was almost exclusively confined to trials showing a movement overshoot, suggesting a functional role related to error correction. We interpret the dual-band synchronization in the alpha and gamma bands as parallel streams of corticospinal processing involved in parsing prediction errors and generating new motor predictions.

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Section: Introductionmentioning

confidence: 99%

The reorganization of corticomuscular coherence during a transition between sensorimotor states

2014

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“…Beta activity has often been associated with states of high alertness, concentration and focused attention (e.g. Gomez et al, 1998;Vazquez Marrufo et al, 2001;Kristeva-Feige et al, 2002). The low levels of beta produced by children with ADHD (Clarke et al, 1998(Clarke et al, , 2001Monastra et al, 1999) are thought to have a detrimental effect on their ability to focus and concentrate.…”

Section: Introductionmentioning

confidence: 99%

Validating the efficacy of neurofeedback for optimising performance

Gruzelier

Egner

Вернон

2006

Progress in Brain Research

144

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Abstract:The field of neurofeedback training has largely proceeded without validation.Here we review our studies directed at validating SMR, beta and alpha-theta protocols for improving attention, memory, mood and music and dance performance in healthy participants. Important benefits were demonstrable with cognitive and neurophysiological measures which were predicted on the basis of regression models of learning. These are initial steps in providing a much needed scientific basis to neurofeedback, but much remains to be done.

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“…Cerebral activation, including changes in electrical (Kristeva-Feige et al, 2002;Rasmussen et al, 2004) and sensory (Friedman et al, 1991) activity during physical exercise, increases the brain's uptake of carbohydrate out of proportion to its oxygen uptake, that is cerebral activation is intimately coupled to so-called nonoxidative carbohydrate consumption (Dalsgaard, 2006;Fox et al, 1988;Ide et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Brain Nonoxidative Carbohydrate Consumption is Not Explained by Export of an Unknown Carbon Source: Evaluation of the Arterial and Jugular Venous Metabolome

Rasmussen

Nyberg

Jaroszewski

et al. 2010

J Cereb Blood Flow Metab

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Brain activation provokes nonoxidative carbohydrate consumption and during exercise it is dominated by the cerebral uptake of lactate resulting in that up to B1 mmol/ 100 g of glucose equivalents cannot be accounted for by cerebral oxygen uptake. The fate of this 'extra' carbohydrate uptake is unknown, but it may be that brain metabolism is balanced by a yet-unidentified substance(s). This study used a nuclear magnetic resonance-based metabolomics approach to plasma samples obtained from the brachial artery and the right internal jugular vein in 16 healthy young males to identify carbon species going to and from the brain. We observed a carbohydrate accumulation of 255 ± 37 lmol/100 g glucose equivalents at exhaustion not accounted for by the oxygen uptake. Although the cumulated uptake was lower than earlier observed, the results show that glucose and lactate are responsible for the majority of the carbon exchange across the brain. Even during intense exercise associated with the largest nonoxidative carbohydrate consumption, the brain did not show significant release of any other metabolite. We conclude that during exercise, the surplus carbohydrate uptake by the brain cannot be accounted for by changes in the NMRderived plasma metabolome across the brain.

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Effects of attention and precision of exerted force on beta range EEG-EMG synchronization during a maintained motor contraction task

Cited by 208 publications

References 33 publications

The reorganization of corticomuscular coherence during a transition between sensorimotor states

The reorganization of corticomuscular coherence during a transition between sensorimotor states

Validating the efficacy of neurofeedback for optimising performance

Brain Nonoxidative Carbohydrate Consumption is Not Explained by Export of an Unknown Carbon Source: Evaluation of the Arterial and Jugular Venous Metabolome

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