The Role of Beta-Frequency Neural Oscillations in Motor Control

Davis, Nick J.; Tomlinson, Simon P.; Morgan, Helen M.

doi:10.1523/jneurosci.5106-11.2012

Cited by 65 publications

(50 citation statements)

References 9 publications

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“…challenging the patient to attain specific brain states that guide activity-dependent neural plasticity and thus might facilitate motor recovery (Bauer and Gharabaghi, 2015a,b;Daly and Wolpaw, 2008). Oscillations in the β-band (15-30 Hz) over the sensorimotor cortex are particularly suited for this approach (Gharabaghi et al, 2014a,b,c) as they are linked to the natural communication between cortex and peripheral muscular activity (Davis et al, 2012;Kilavik et al, 2013;Riddle and Baker, 2005;Witham et al, 2011), and reflect sensorimotor control (Brittain et al, 2014), motor learning (Herrojo Ruiz et al, 2014;Pollok et al, 2014), corticospinal excitability (Takemi et al, 2013a,b), and the extent of functional impairment after stroke (Rossiter et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality

2015

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Section: Introductionmentioning

confidence: 99%

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality

2015

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“…Beta activity is often associated with motor tasks (Davis et al, 2011) but MEG studies of visual word recognition have consistently reported activity within this frequency range (e.g., Barca et al, 2011;Cornelissen et al, 2009;Wheat et al, 2010). The beta band has been associated with longrange communication between different cortical regions (Fries, 2005;von Stein and Sarnthein, 2000), for example auditory-visual integration when participants are viewing talking faces (Fingelkurts et al, 2007) and at moments when the perception of an ambiguous visual stimulus changes from one interpretation to another (which we would interpret as reflecting fluctuating changes to the visual-to-semantic mappings; Okazaki et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Interactions between visual and semantic processing during object recognition revealed by modulatory effects of age of acquisition

et al. 2014

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.)Interactions between visual and semantic processing during object recognition revealed by modulatory effects of age of acquisition The age of acquisition (AoA) of objects and their names is a powerful determinant of processing speed in adulthood, with early-acquired objects being recognized and named faster than late-acquired objects. Previous research using fMRI . Traces of vocabulary acquisition in the brain: evidence from covert object naming. NeuroImage 33,[958][959][960][961][962][963][964][965][966][967][968] found that AoA modulated the strength of BOLD responses in both occipital and left anterior temporal cortex during object naming. We used magnetoencephalography (MEG) to explore in more detail the nature of the influence of AoA on activity in those two regions. Covert object naming recruited a network within the left hemisphere that is familiar from previous research, including visual, left occipito-temporal, anterior temporal and inferior frontal regions. Region of interest (ROI) analyses found that occipital cortex generated a rapid evoked response (~ 75-200 ms at 0-40 Hz) that peaked at 95 ms but was not modulated by AoA. That response was followed by a complex of later occipital responses that extended from ~ 300 to 850 ms and were stronger to early-than late-acquired items from ~ 325 to 675 ms at 10-20 Hz in the induced rather than the evoked component. Left anterior temporal cortex showed an evoked response that occurred significantly later than the first occipital response (~ 100-400 ms at 0-10 Hz with a peak at 191 ms) and was stronger to early-than late-acquired items from ~ 100 to 300 ms at 2-12 Hz. A later anterior temporal response from ~ 550 to 1050 ms at 5-20 Hz was not modulated by AoA. The results indicate that the initial analysis of object forms in visual cortex is not influenced by AoA. A fastforward sweep of activation from occipital and left anterior temporal cortex t...

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“…This outcome indicates that tACS facilitates sequence learning and promotes quicker skill acquisition. Nevertheless, as pointed out by Davis et al (2012), future studies employing tACS need to further clarify the role of beta-frequency neural oscillations in motor control. For example, it would be important to establish how close the stimulating frequency needs to be to the participant's individual beta peak to get the best enhancing effect on performance.…”

Section: Improvements In Motor Sequence Learning and Motor Skill Learmentioning

confidence: 99%

Noninvasive Brain Stimulation and Neural Entrainment Enhance Athletic Performance—a Review

2016

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Brain stimulation and neural entrainment relying on noninvasive techniques, applied to sports, might enhance brain activity in healthy athletes to improve their physical performance. In the past, several studies have employed stimulation procedures, either during athletic training or during separate sessions, to enhance physical and mental performance. Here, we review the available physiological and behavioral studies to clarify if and under which conditions noninvasive brain stimulation and neural entrainment might enhance athletic performance. Even though many studies suffer from small sample size, the results, compared to traditional training procedures, suggest advantages with regard to motor learning, motion perception, muscular strength, or decrements in muscle fatigue. Further, these techniques seem to be useful in fine-tuning crucial aspects of competitive sports such as speeding up the learning rate of specific motor skills. Although more research is needed to fully understand the effects of noninvasive brain stimulation and neural entrainment on athletic performance, we conclude that these emerging techniques are promising tools to enhance physical and mental performances in sports.

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The Role of Beta-Frequency Neural Oscillations in Motor Control

Cited by 65 publications

References 9 publications

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality

Interactions between visual and semantic processing during object recognition revealed by modulatory effects of age of acquisition

Noninvasive Brain Stimulation and Neural Entrainment Enhance Athletic Performance—a Review

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