2021
DOI: 10.14814/phy2.14818
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The effect of alertness and attention on the modulation of the beta rhythm to tactile stimulation

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 7 publications
(12 citation statements)
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References 79 publications
(73 reference statements)
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“…Thus, Ilman et al, 2021 suggested that alertness level has an effect on the sensorimotor β -desynchronization during tactile stimulation. Yet, the effects they observed were not statistically significant at the group level [57].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, Ilman et al, 2021 suggested that alertness level has an effect on the sensorimotor β -desynchronization during tactile stimulation. Yet, the effects they observed were not statistically significant at the group level [57].…”
Section: Discussionmentioning
confidence: 99%
“…was statistically insignificant). βoscillations have been linked to the activity of the primary motor cortex activity as it is well known that somatosensory inputs modulate β oscillations because of motor-cortical mechanisms [56][57][58]. These effects are driven by the ascending projections to M1 [59,60] and by corticocortical connections with the somatosensory cortex [61].…”
Section: Sensorimotor Erd During Tactile Stimulation and Tactile Imagerymentioning
confidence: 99%
“…Mental fatigue caused by long-lasting attentive task and overload has been shown to enhance the beta power ( 68 ), whereas reduced alertness, for example, due to sleepiness decreases the beta power and the amplitude of beta suppression and rebound ( 43 ). Enhanced vigilance and active attention to stimuli have also been shown to increase the beta power ( 69 , 70 ), and either to increase ( 70 , 71 ) or decrease ( 72 ) the intensity of beta suppression and rebound.…”
Section: Discussionmentioning
confidence: 99%
“…The temporal spectral evolution (TSE) method was used to quantify the strength of the stimulus-related beta rhythm modulation in the follow-up measurements ( 7 ). MEG and EEG data were first filtered to a 13- to 25-Hz frequency band (a symmetric linear-phase FIR filter with a transition band of 1 Hz at the low- and high cutoff frequency and Hamming window, filter length 3.3), which in a previous study has been found to show the strongest beta rhythm modulation for all subjects ( 43 ). The lower beta frequencies are needed specifically to detect the beta rebound ( 5 , 29 , 44 ).…”
Section: Methodsmentioning
confidence: 99%
“…However, some caution is suggested when individual subjects are examined. While beta suppression and rebound in the SM1 are not sensitive to slightly reduced alertness or active attention at group level, they should be maintained high to reduce individual variability (Illman et al, 2021).…”
Section: Tablementioning
confidence: 99%