Relationship between motor activity-related cortical potential and voluntary muscle activation

Siemionow, Vlodek; Yue, Guang H.; Ranganathan, Vinoth K.; Liu, Jing Z.; Sahgal, Vinod

doi:10.1007/s002210000382

Cited by 164 publications

(126 citation statements)

References 35 publications

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“…The MRP is present both before self-generated and cued actions ( Jankelowitz & Colebatch, 2002), and during its late stages, it is characterized by a rapid increase in slope (Siemionow, Yue, Ranganathan, Liu, & Sahgal, 2002;Shibasaki, Barrett, Halliday, & Halliday, 1980;Deecke, Scheid, & Kornhuber, 1969). Our predictions for the MRP were similar to those for the CNV.…”

Section: Action Representationsupporting

confidence: 74%

Attention Allocation and Task Representation during Joint Action Planning

Kourtis

Knoblich²,

Woźniak

et al. 2014

Journal of Cognitive Neuroscience

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Abstract■ We investigated whether people take into account an interaction partnerʼs attentional focus and whether they represent in advance their partnerʼs part of the task when planning to engage in a synchronous joint action. The experiment involved two participants planning and performing joint actions (i.e., synchronously lifting and clinking glasses), unimanual individual actions (i.e., lifting and moving a glass as if clinking with another person), and bimanual individual actions. EEG was recorded from one of the participants. We employed a choice reaction paradigm where a visual cue indicated the type of action to be planned, followed 1.5 sec later by a visual go stimulus, prompting the participants to act. We studied attention allocation processes by examining two lateralized EEG components, namely the anterior directing attention negativity and the late directing attention positivity. Action planning processes were examined using the late contingent negative variation and the movement-related potential. The results show that early stages of joint action planning involve dividing attention between locations in space relevant for oneʼs own part of the joint action and locations relevant for oneʼs partnerʼs part of the joint action. At later stages of joint action planning, participants represented in advance their partnerʼs upcoming action in addition to their own action, although not at an effector-specific level. Our study provides electrophysiological evidence supporting the operation of attention sharing processes and predictive self/other action representation during the planning phase of a synchronous joint task. ■

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Section: Action Representationsupporting

confidence: 74%

Attention Allocation and Task Representation during Joint Action Planning

Kourtis

Knoblich²,

Woźniak

et al. 2014

Journal of Cognitive Neuroscience

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“…1). The MRCP signal within this period, roughly corresponding to the initiation of the muscle contraction, most likely represented cortical activities related to execution of the motor task (Hallett, 1994;Siemionow et al, 2000). However, a slight contribution from early sensory feedback to the MRCP signal in this time window cannot totally be ruled out.…”

Section: Eeg Source Reconstructionmentioning

confidence: 97%

Shifting of activation center in the brain during muscle fatigue: An explanation of minimal central fatigue?

et al. 2007

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Accumulating evidence suggests that the overall level of cortical activation controlling a voluntary motor task that leads to significant muscle fatigue does not decrease as much as the activation level of the motoneuron pool projecting to the muscle. One possible explanation for this "muscle fatigue>cortical fatigue" phenomenon is that the brain is an organ with built-in redundancies: it has multiple motor centers and parallel pathways, and the center of activation may shift from one location to another when neurons in the previous location become fatigued. This hypothesis was tested by estimating the changes of source locations of high-density (64 channels) scalp electroencephalographic (EEG) signals collected during both fatigue and non-fatigue motor tasks. A current dipole model was used to estimate the EEG sources. The fatigue motor task induced significant muscle fatigue, and the non-fatigue task did not. The EEG signal source that indicated the center of brain activation showed substantial location shifts during the fatigue motor task. The shifts could not be explained by variations of source locations caused by error estimated from the non-fatigue task EEG and simulated data. Compared to the non-fatigue condition, the weightedcenter of the source locations for all the participants shifted toward the right hemisphere (ipsilateral to the muscle activation), anterior, and inferior cortical regions under the fatigue condition. Fatigue did not alter dipole (source-signal) strength or the overall level of brain activation. The brain may avoid fatigue by shifting neuron populations that participate in a fatiguing motor task.

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“…In nonhuman primates, frequency of discharge of cells in M1 increases monotonically with forces (Cheney and Fetz 1980;Evarts 1968). Functional imaging (Dai et al 2001;Siemionow et al 2000) data in humans demonstrate a strong linear relationship between M1 activation and incremental forces in humans. Neurophysiological evidence, using transcranial magnetic stimulation (TMS), a noninvasive approach examining cortical and corticospinal excitability, similarly suggests that excitability varies strategically across contexts in which force is applied (Flament et al 1993).…”

mentioning

confidence: 99%

Neurophysiological correlates of aging-related muscle weakness

Plow

Cunningham

Bonnett

et al. 2013

Journal of Neurophysiology

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Muscle weakness associated with aging implicates central neural degeneration. However, role of the primary motor cortex (M1) is poorly understood, despite evidence that gains in strength in younger adults are associated with its adaptations. We investigated whether weakness of biceps brachii in aging analogously relates to processes in M1. We enrolled 20 young (22.6 Ϯ 0.87 yr) and 28 old (74.79 Ϯ 1.37 yr) right-handed participants. Using transcranial magnetic stimulation, representation of biceps in M1 was identified. We examined the effect of age and sex on strength of left elbow flexion, voluntary activation of biceps, corticospinal excitability and output, and short-interval intracortical and interhemispheric inhibition. Interhemispheric inhibition was significantly exaggerated in the old (P ϭ 0.047), while strength tended to be lower (P ϭ 0.075). Overall, women were weaker (P Ͻ 0.001). Processes of M1 related to strength or voluntary activation of biceps, but only in older adults. Corticospinal excitability was lower in weaker individuals (r ϭ 0.38), and corticospinal output, intracortical inhibition and interhemispheric inhibition were reduced too in individuals who poorly activated biceps (r ϭ 0.43, 0.54 and 0.38). Lower intracortical inhibition may reflect compensation for reduced corticospinal excitability, allowing weaker older adults to spread activity in M1 to recruit synergists and attempt to sustain motor output. Exaggerated interhemispheric inhibition, however, conflicts with previous evidence, potentially related to greater callosal damage in our older sample, our choice of proximal vs. distal muscle and differing influence of measurement of inhibition in rest vs. active states of muscle. Overall, age-specific relation of M1 to strength and muscle activation emphasizes that its adaptations only emerge when necessitated, as in a weakening neuromuscular system in aging.

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Relationship between motor activity-related cortical potential and voluntary muscle activation

Cited by 164 publications

References 35 publications

Attention Allocation and Task Representation during Joint Action Planning

Attention Allocation and Task Representation during Joint Action Planning

Shifting of activation center in the brain during muscle fatigue: An explanation of minimal central fatigue?

Neurophysiological correlates of aging-related muscle weakness

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