Cerebral haemodynamics during motor imagery of self-feeding with chopsticks: differences between dominant and non-dominant hand

Matsuo, Masatsugu; Iso, Nozomi; Fujiwara, Kengo; Moriuchi, Takefumi; Tanaka, Goro; Honda, Sumihisa; Matsuda, Daiki; Higashi, Toshio

doi:10.1080/08990220.2019.1699044

Cited by 10 publications

(12 citation statements)

References 26 publications

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“…However, although the experience in tasks and the degree of learning have been shown to affect MI (Mulder et al, 2004;Mulder, 2007;Schuster et al, 2011), no studies have examined how much they affect the changes in cerebral hemodynamics during MI. We previously examined the performance of motions and cerebral hemodynamics during MI (Iso et al, 2016), and the effects of the dominant/non-dominant hand (Matsuo et al, 2020). The results showed an increase in cerebral hemodynamic change in the PMA and SMA, comparable to that observed during exercise.…”

Section: Introductionmentioning

confidence: 78%

“…First, cerebral hemodynamics during the BR-MI task was measured. A block design was used for the measurements, in line with previous research (Wriessnegger et al, 2008;Amemiya et al, 2010;Iso et al, 2016;Matsuo et al, 2020). The participants were instructed to perform the BR-MI task for 30 s and then maintain a resting condition for 40 s. NIRS measurement takes about 5 min depending on the block design.…”

Section: Methodsmentioning

confidence: 99%

“…Channels with high noise levels were marked using a 3.0 Hz high-pass filter, and noise components were separated and analyzed using wave analysis. Channels whose standard deviation exceeded 0.08 were assumed to be influenced by excessive noise and were thus excluded (Iso et al, 2016;Matsuo et al, 2020). In addition, during NIRS measurement, the contraction of participants' thenar muscles was monitored using electromyography (MYOTRACE400 EM-501, Sakai Medico, Japan).…”

Section: Nirs Measurement and Analysismentioning

confidence: 99%

“…Thus, it could be easily used in the field of rehabilitation. Several studies have examined brain activation during MI using NIRS and cerebral hemodynamics during MI of a tapping task (Iso et al, 2016), swallowing , and eating have been shown (Matsuo et al, 2020). In addition, several studies have aimed to increase the effect of MI by feeding the cerebral hemodynamics measured by NIRS back to patients to enhance brain activation (Mihara et al, 2012;Kober et al, , 2018Ota et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Hemodynamic Signal Changes During Motor Imagery Task Performance Are Associated With the Degree of Motor Task Learning

Iso

Moriuchi

Fujiwara

et al. 2021

Front. Hum. Neurosci.

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PurposeThis study aimed to investigate whether oxygenated hemoglobin (oxy-Hb) generated during a motor imagery (MI) task is associated with the motor learning level of the task.MethodsWe included 16 right-handed healthy participants who were trained to perform a ball rotation (BR) task. Hemodynamic brain activity was measured using near-infrared spectroscopy to monitor changes in oxy-Hb concentration during the BR MI task. The experimental protocol used a block design, and measurements were performed three times before and after the initial training of the BR task as well as after the final training. The BR count during training was also measured. Furthermore, subjective vividness of MI was evaluated three times after NIRS measurement using the Visual Analog Scale (VAS).ResultsThe results showed that the number of BRs increased significantly with training (P < 0.001). VAS scores also improved with training (P < 0.001). Furthermore, oxy-Hb concentration and the region of interest (ROI) showed a main effect (P = 0.001). An interaction was confirmed (P < 0.001), and it was ascertained that the change in oxy-Hb concentrations due to training was different for each ROI. The most significant predictor of subjective MI vividness was supplementary motor area (SMA) oxy-Hb concentration (coefficient = 0.365).DiscussionHemodynamic brain activity during MI tasks may be correlated with task motor learning levels, since significant changes in oxy-Hb concentrations were observed following initial and final training in the SMA. In particular, hemodynamic brain activity in the SMA was suggested to reflect the MI vividness of participants.

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Section: Introductionmentioning

confidence: 78%

Section: Methodsmentioning

confidence: 99%

Section: Nirs Measurement and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hemodynamic Signal Changes During Motor Imagery Task Performance Are Associated With the Degree of Motor Task Learning

Iso

Moriuchi

Fujiwara

et al. 2021

Front. Hum. Neurosci.

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“…In the case of B01T, the assessed relevance set is comparable to those obtained by BT08, as shown in the middle row. However, the contribution from the left-hemisphere channels (C3 and 14) is higher than provided by the right hemisphere (C4 and 18), suggesting a right-hand dominance [ 45 ].…”

Section: Experiments and Resultsmentioning

confidence: 99%

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

Velásquez-Martínez

Caicedo-Acosta

Castellanos-Domínguez

2020

Entropy

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Assessment of brain dynamics elicited by motor imagery (MI) tasks contributes to clinical and learning applications. In this regard, Event-Related Desynchronization/Synchronization (ERD/S) is computed from Electroencephalographic signals, which show considerable variations in complexity. We present an Entropy-based method, termed VQEnt, for estimation of ERD/S using quantized stochastic patterns as a symbolic space, aiming to improve their discriminability and physiological interpretability. The proposed method builds the probabilistic priors by assessing the Gaussian similarity between the input measured data and their reduced vector-quantized representation. The validating results of a bi-class imagine task database (left and right hand) prove that VQEnt holds symbols that encode several neighboring samples, providing similar or even better accuracy than the other baseline sample-based algorithms of Entropy estimation. Besides, the performed ERD/S time-series are close enough to the trajectories extracted by the variational percentage of EEG signal power and fulfill the physiological MI paradigm. In BCI literate individuals, the VQEnt estimator presents the most accurate outcomes at a lower amount of electrodes placed in the sensorimotor cortex so that reduced channel set directly involved with the MI paradigm is enough to discriminate between tasks, providing an accuracy similar to the performed by the whole electrode set.

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An optimized EEGNet decoder for decoding motor image of four class fingers flexion

Rao,

Zhang,

Jing

et al. 2024

Brain Research

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Cerebral haemodynamics during motor imagery of self-feeding with chopsticks: differences between dominant and non-dominant hand

Cited by 10 publications

References 26 publications

Hemodynamic Signal Changes During Motor Imagery Task Performance Are Associated With the Degree of Motor Task Learning

Hemodynamic Signal Changes During Motor Imagery Task Performance Are Associated With the Degree of Motor Task Learning

Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns

An optimized EEGNet decoder for decoding motor image of four class fingers flexion

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