Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy

Xi, Xu; Ding, Jinsuo; Wang, Junhong; Zhao, Yun‐Bo; Wang, Ting; Kong, Wanzeng; Li, Jingqi

doi:10.1109/jbhi.2022.3193984

Cited by 11 publications

(7 citation statements)

References 50 publications

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“…Considering the similarity of the local frequency band characteristics of the FCMC in the hand grip task, we selected one participant randomly as a visual demonstration. Figure 5 illustrates the brain topography maps obtained using TDMISC in both directions (EEG → EMG and EMG → EEG) for the unaffected and affected sides of patient one during the hand grip task across the alpha band (8-15 Hz), beta band (15-30 Hz), and gamma band (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45). Patients with stroke had a higher peak TDMISC on the unaffected side when performing the hand grip task.…”

Section: Results For Experimental Data 321 Corticomuscular Coupling A...mentioning

confidence: 99%

“…Additionally, for patients with stroke, we observed a larger activated cortical area in the unaffected upper limb during steady-state force output compared with the affected side, and the most significant difference was observed in the beta band. Given that FCMC is used in assessing post-stroke motor control function, Xi et al [40] found that the coupling strength on the affected side was lower than that in the healthy control group. Notably, in the low beta band, the coupling strength on the affected side was significantly lower than on the unaffected side.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient

Tang,

Xi,

Wang

et al. 2023

J. Neural Eng.

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Objective. The study of brain networks has become an influential tool for investigating post-stroke brain function. However, studies on the dynamics of cortical networks associated with muscle activity are limited. This is crucial for elucidating the altered coordination patterns in the post-stroke motor control system. Approach. In this study, we introduced the time-delayed maximal information spectral coefficient (TDMISC) method to assess the local frequency band characteristics (alpha, beta, and gamma bands) of functional corticomuscular coupling (FCMC) and cortico-cortical network parameters. We validated the effectiveness of TDMISC using a unidirectionally coupled Hénon maps model and a neural mass model. Main result. A grip task with 25% of maximum voluntary contraction was designed, and simulation results demonstrated that TDMISC accurately characterizes signals’ local frequency band and directional properties. In the gamma band, the affected side showed significantly strong FCMC in the ascending direction. However, in the beta band, the affected side exhibited significantly weak FCMC in all directions. For the cortico-cortical network parameters, the affected side showed a lower clustering coefficient than the unaffected side in all frequency bands. Additionally, the affected side exhibited a longer shortest path length than the unaffected side in all frequency bands. In all frequency bands, the unaffected motor cortex in the stroke group exerted inhibitory effects on the affected motor cortex, the parietal associative areas, and the somatosensory cortices. Significance. These results provide meaningful insights into neural mechanisms underlying motor dysfunction.

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Section: Results For Experimental Data 321 Corticomuscular Coupling A...mentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient

Tang,

Xi,

Wang

et al. 2023

J. Neural Eng.

Self Cite

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“…Next, the EEG data was downsampled to 512 Hz, and the independent component analysis (ICA) was used to remove eye artifact component, muscle artifact component, and other noise. Finally, re-reference them to the common average [37,38]. Use MATLAB 2021a (MathWorks, Inc., Natick, MA, United States) to preprocess sEMG signals.…”

Section: Preprocessing Of Eeg and Semgmentioning

confidence: 99%

“…12 Hz, point 5-7), beta (14-30 Hz, point[8][9][10][11][12][13][14][15][16] and gamma(32)(33)(34)(35)(36)(37)(38)(39)(40) bands[40]. The coherence value was between 0 and 1, where 1 represented that the two signals were completely coherent, and 0 represented that the two signals were completely incoherent.…”

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confidence: 99%

cTBS over primary motor cortex increased contralateral corticomuscular coupling and interhemispheric functional connection

Xu,

Zhang,

Liu

et al. 2024

J. Neural Eng.

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Objective. Transcranial magnetic stimulation is a non-invasive brain stimulation technique that changes the activity of the cerebral cortex. Contralesional continuous theta burst stimulation (cTBS) has been proposed and verified beneficial to stroke motor recovery. However, the underlying mechanism is still unclear. Approach. Twenty healthy right-handed subjects were recruited in this study, receiving real-cTBS over their left primary motor cortex or sham-cTBS. We designed the finger tapping task (FTT) before and after stimulation and recorded the accuracy and reaction time (RT) of the task. The electroencephalogram and surface electromyogram signals were recorded during the left finger pinching task (FPT) before and after stimulation. We calculated cortico-muscular coherence (CMC) in the contralateral hemisphere and cortico-cortical coherence (CCC) in the bilateral hemisphere. The two-way repeated measures analysis of variance was used to analyze the effect of cTBS.Main results. In the FTT, there was a significant main effect of “time” on RT (F(1, 38) = 24.739, p < 0.001). In the FPT, the results showed that there was a significant interaction effect on the CMC peak and area in the beta band (peak: F(1, 38) = 8.562, p = 0.006; area: F(1, 38) = 5.273, p = 0.027), on the CCC peak in the alpha band (F(1, 38) = 4.815, p = 0.034) and area in the beta band (F(1, 38) = 4.822, p = 0.034). The post hoc tests showed that the CMC peak (W = 20, p = 0.002), the CMC area (W = 13, p = 0.003) and the CCC peak (t = -2.696, p = 0.014) increased significantly after real-cTBS. However, there was no significant decrease or increase after sham-cTBS. Significance. Our study found that cTBS can improve CMC of contralateral hemisphere and CCC of bilateral hemisphere, indicating that cTBS can strengthen cortico-muscular and cortico-cortical coupling.

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“…Then, the 5thorder IIR lter in EEGLAB was used to apply low pass ltering with a low frequency of 30 Hz to the remaining EEG signals, where the baseline drift was removed and over owed. Independent component analysis (ICA) was used to remove artifacts: EEGLAB's default runica algorithm was used to calculate ICA, and we used EEGLAB's 'adjust' plugin to remove 3 of the 32 independent components, thus removing the ECG and EOG artifacts 32 . EEG 50 Hz power signals were ltered using a xed-lag Kalman smoother 33 .…”

Section: The Action Research Arm Test (Arat)mentioning

confidence: 99%

tDCS combined with kinesthetic motor imagery-based brain computer interface training promotes upper limb function in subacute stroke: A randomized controlled study

Zhang,

Wu,

Jia

et al. 2024

Preprint

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Background Most stroke survivors have upper extremity dysfunction. According to neuroplasticity theory, transcranial direct current stimulation (tDCS) and kinesthetic motor imagery-based brain computer interface (KI-BCI) have the potential to improve the upper extremity function of participants with subacute stroke. However, the efficacy of tDCS combined with KI-BCI in participants with subacute stroke is unknown. Objective To investigate whether the combined effect of tDCS and KI-BCI on upper limb function in participants with subacute stroke is more effective than the effects of tDCS or KI-BCI alone. Methods We randomized 48 participants into a tDCS group (n = 16), a KI-BCI group (n = 16), and a tDCS-BCI group (n = 16). Participants in the tDCS group received 30 min of tDCS with the anode over M1. The KI-BCI group performed 30 min of KI-BCI training. Participants in the tDCS-BCI group received 15 min of tDCS and 15 min of KI-BCI. All participants received conventional intervention. The treatment cycle consisted of a 1 session each day, 5 days per week for 4 weeks. The Fugl–Meyer Assessment of Upper Extremity (FMA-UE) subscale, Motor Status Scale (MSS), Action Research Arm Test (ARAT), and Modified Barthel Index (MBI) were used to assess upper limb function, and activities of daily living (ADL) before and after the 4-week treatment period. In addition, electroencephalography (EEG) was used to explore potential clinical brain mechanisms. Results After four weeks of intervention, the tDCS-BCI group was superior to the tDCS group in terms of the MSS. The FMA-UE, MSS, and MBI scores of the KI-BCI group were superior to those of the tDCS group. There was no difference in the number of quantitative EEGs among the three groups, while the number of quantitative EEGs was greater than before. Conclusion TDCS combined with KI-CI training can improve upper extremity function. However, KI-BCI training alone can improve upper limb function and ADL simultaneously. TDCS could alter the electrical excitatory levels of the cerebral hemispheres. Trial registry number: ChiCTR2000034730

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Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy

Cited by 11 publications

References 50 publications

Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient

Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient

cTBS over primary motor cortex increased contralateral corticomuscular coupling and interhemispheric functional connection

tDCS combined with kinesthetic motor imagery-based brain computer interface training promotes upper limb function in subacute stroke: A randomized controlled study

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