2014
DOI: 10.1016/j.neuroimage.2013.12.011
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EEG signatures of arm isometric exertions in preparation, planning and execution

Abstract: The electroencephalographic (EEG) activity patterns in humans during motor behaviour provide insight into normal motor control processes and for diagnostic and rehabilitation applications. While the patterns preceding brisk voluntary movements, and especially movement execution, are well described, there are few EEG studies that address the cortical activation patterns seen in isometric exertions and their planning. In this paper, we report on time and time-frequency EEG signatures in experiments in normal sub… Show more

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Cited by 15 publications
(19 citation statements)
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“…For example, via measuring the BOLD signal56, functional Magnetic Resonant Imaging (fMRI) has been used to capture human visual cortex activities7, detect awareness of a brain in a vegetative state8, image dopaminergic signals in the ventral tegmental area9, and for general brain activity imaging purposes10. Scalp electroencephalography (EEG) has been developed for the brain-machine interface1112 and for detecting the area of onset of epilepsy13. But the source localisation is an ill-imposed inverse problem that has not been successfully solved1415.…”
mentioning
confidence: 99%
“…For example, via measuring the BOLD signal56, functional Magnetic Resonant Imaging (fMRI) has been used to capture human visual cortex activities7, detect awareness of a brain in a vegetative state8, image dopaminergic signals in the ventral tegmental area9, and for general brain activity imaging purposes10. Scalp electroencephalography (EEG) has been developed for the brain-machine interface1112 and for detecting the area of onset of epilepsy13. But the source localisation is an ill-imposed inverse problem that has not been successfully solved1415.…”
mentioning
confidence: 99%
“…The analysis did not detect any significant effect due to the order of the experiments and at the same time showed a very high effect sizes (partial η 2 ) and the probability of reproducibility (very high statistical power) for the force-position effect. Future studies with additional recordings such as electromyography, EMG (Laine et al, 2015;Pizzamiglio et al, 2017), electroencephalography, EEG (Nasseroleslami, Lakany, et al, 2014;Xu et al, 2014;Vuckovic et al, 2015), as well as the computational simulation of the potential neural (Nasseroleslami, Vossoughi, et al, 2014) and biomechanical (Rashedi et al, 2010;Sedighi et al, 2011) factors can be used to further elucidate the neurophysiological mechanisms giving rise to the behavioral specialization. Eventually, the findings from this and other studies, need to be assessed with accurate reference to the limb (upper/lower, dominant/non-dominant) and joint (proximal: shoulder, elbow, distal: wrist, hand) involved in the task, and measures used to quantify the skill level.…”
Section: Limitationsmentioning
confidence: 99%
“…Some neurophysiological differences between lower and upper limb suggest that the performance of tasks involving visuomotor coordination may be different in ankle: (1) The neuro-circuitries for individuated digit control are evolved differently in lower vs. upper limbs (Hashimoto et al, 2013), (2) the H-reflex responses in lower limb are different from those in upper limb (Zehr, 2002), and (3) altering the cutaneous feedback through electrical stimulation affects the performance in visuomotor ankle forcematching, but not the position-matching tasks (Choi et al, 2013). Among similarities, the system-level neurophysiological signatures such as motor-related cortical potential are present for both upper limbs (Waldert et al, 2009;Nasseroleslami et al, 2011aNasseroleslami et al, , 2011bNasseroleslami, Lakany, et al, 2014) and lower limbs (Nascimento et al, 2006;Nascimento & Farina, 2008) in position and force control. From a neurophysiological perspective, the complex differences between the upper and lower extremity limit the generalization of the previous findings in upper limb (negligible to some degree advantage for force control) to the lower extremity and ankle joint.…”
Section: Introductionmentioning
confidence: 99%
“…It has also been proven that different tasks require different levels of cerebral alert for an optimal performance [11]. In fact, according to the empirical law of Yerkes-Dodson, while routine tasks are made easier by a high alert level, complex tasks requiring a higher level of meditation are carried out more efficiently at a lower alert level.…”
Section: Introductionmentioning
confidence: 99%