Movement speed effects on beta-band oscillations in sensorimotor cortex during voluntary activity

Abstract

Beta-band oscillations are a dominant feature in the sensorimotor system, which includes movement related beta desynchronization (MRBD) during the preparation and execution phases of movement and post-movement beta synchronization (PMBS) on movement cessation. Many studies have linked this rhythm to motor functions. However, its associations to the movement speed are still unclear. We make a hypothesis that PMBS will be modulated with increasing of movement speeds. We assessed the MRBD and PMBS during isotonic slower self-paced and ballistic movements with 15 healthy subjects. Furthermore, we conduct an additional control experiment with the isometric contraction with two levels of forces to match those in the isotonic slower self-paced and ballistic movements separately. We found that the amplitude of PMBS but not MRBD in motor cortex is modulated by the speed during voluntary movement. PMBS was positively correlated with movement speed and acceleration through the partial correlation analysis. However, there were no changes in the PMBS and MRBD during the isometric contraction with two levels of forces. These results demonstrate a different function of PMBS and MRBD to the movement speed during voluntary activity, and suggest that the movement speed would affect the amplitude of PMBS.

Reproducibility of Rolandic beta rhythm modulation in MEG and EEG

“…Although beta rhythm modulation has been reported to be reproducible for well-controlled active movement ( 34 , 46 ), active movement-induced beta rebound is susceptible for various factors, such as speed and intensity of movement ( 48 , 50 , 51 ). Movement preparation has been seen to induce the beta rhythm suppression before movement onset ( 1 , 52 ), and even motor imaging has been shown to cause beta rhythm modulation ( 4 ), which can hamper the evaluation of its reproducibility.…”

Reduced sensorimotor beta dynamics could represent a “slowed movement state” in healthy individuals

“…slowed movement). Previous work in HCs has shown a reduced magnitude of the MRBD (i.e., less negative beta) (Heideman et al, 2017; Heinrichs-Graham et al, 2016; Muralidharan & Aron, 2021) and PMBR (i.e., less positive beta) (Parkes et al, 2006; Zhang et al, 2020) during slower compared to faster movements. Similarly, in PD both the MRBD and PMBR have been observed to be reduced in magnitude (Heinrichs-Graham et al, 2014; Meissner et al, 2018; Gert Pfurtscheller et al, 1998; te Woerd et al, 2014, but see Rowland et al, 2015).…”

“…This schematic shows beta power over time with movement at 0 ms represented with a vertical dotted line. We expected our Slow blocks to have a MRBD and PMBR of reduced magnitude (compared to Fast blocks) based on what has been observed in PD bradykinetic movement (Heinrichs-Graham et al, 2014; Meissner et al, 2018; Gert Pfurtscheller et al, 1998; te Woerd et al, 2014) and slowed HC movement (Muralidharan & Aron, 2021; Parkes et al, 2006; Zhang et al, 2020). Note that while the normalized (baseline corrected) MRBD and PMBR are shown, we also expected beta to be overall higher throughout Slow blocks.…”

Secure Communication Scheme for Brain-Computer Interface Systems Based on High-Dimensional Hyperbolic Sine Chaotic System

“…The sampling rate of the EEG signal was 1 kHz. We collected EEG data of subjects performing ballistic index finger abduction movements [28], and the data length is about 15 min.…”

“…The reason why we use this route map is as follows: 1) The transmissive EEG data flow is a digital signal. There is no loss of EEG signal using the DCSK scheme for communication [28]. 2) The transmissive data in the DCSK scheme are the non-periodic chaotic signal or the modulated chaotic signal which can protect the EEG data from malicious tampering and privacy leakage [29].…”