Effect of BCI-Controlled Pedaling Training System With Multiple Modalities of Feedback on Motor and Cognitive Function Rehabilitation of Early Subacute Stroke Patients

Yuan, Ziwen; Yu, Pei; Wang, Lisha; Song, Seok-Bo; Chen, Shi; Yang, Liu; Liu, Huanhuan; Wang, Haochong; Shi, Gaige; Han, Chengcheng; Cammon, Jared; Zhang, Yingchun; Qiao, Jin; Wang, Gang

doi:10.1109/tnsre.2021.3132944

Cited by 18 publications

(24 citation statements)

References 57 publications

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“…From a total of 1973 sources screened, 357 full-text sources were assessed for eligibility, then after grouping sources that referred to a single study, 103 (5%) distinct sources were included in the review [ 46 - 148 ] ( Figure 1 ). Of the 245 sources excluded at full-text screening, 165 (67%) were excluded due to a lack of a behavior change approach.…”

Section: Resultsmentioning

confidence: 99%

Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review

Gooch,

Jarvis,

Stockley

2024

J Med Internet Res

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Background Digital health technologies (DHTs) are increasingly used in physical stroke rehabilitation to support individuals in successfully engaging with the frequent, intensive, and lengthy activities required to optimize recovery. Despite this, little is known about behavior change within these interventions. Objective This scoping review aimed to identify if and how behavior change approaches (ie, theories, models, frameworks, and techniques to influence behavior) are incorporated within physical stroke rehabilitation interventions that include a DHT. Methods Databases (Embase, MEDLINE, PsycINFO, CINAHL, Cochrane Library, and AMED) were searched using keywords relating to behavior change, DHT, physical rehabilitation, and stroke. The results were independently screened by 2 reviewers. Sources were included if they reported a completed primary research study in which a behavior change approach could be identified within a physical stroke rehabilitation intervention that included a DHT. Data, including the study design, DHT used, and behavior change approaches, were charted. Specific behavior change techniques were coded to the behavior change technique taxonomy version 1 (BCTTv1). Results From a total of 1973 identified sources, 103 (5%) studies were included for data charting. The most common reason for exclusion at full-text screening was the absence of an explicit approach to behavior change (165/245, 67%). Almost half (45/103, 44%) of the included studies were described as pilot or feasibility studies. Virtual reality was the most frequently identified DHT type (58/103, 56%), and almost two-thirds (65/103, 63%) of studies focused on upper limb rehabilitation. Only a limited number of studies (18/103, 17%) included a theory, model, or framework for behavior change. The most frequently used BCTTv1 clusters were feedback and monitoring (88/103, 85%), reward and threat (56/103, 54%), goals and planning (33/103, 32%), and shaping knowledge (33/103, 32%). Relationships between feedback and monitoring and reward and threat were identified using a relationship map, with prominent use of both of these clusters in interventions that included virtual reality. Conclusions Despite an assumption that DHTs can promote engagement in rehabilitation, this scoping review demonstrates that very few studies of physical stroke rehabilitation that include a DHT overtly used any form of behavior change approach. From those studies that did consider behavior change, most did not report a robust underpinning theory. Future development and research need to explicitly articulate how including DHTs within an intervention may support the behavior change required for optimal engagement in physical rehabilitation following stroke, as well as establish their effectiveness. This understanding is likely to support the realization of the transformative potential of DHTs in stroke rehabilitation.

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Section: Resultsmentioning

confidence: 99%

Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review

Gooch,

Jarvis,

Stockley

2024

J Med Internet Res

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“…In this study, the attention scores of participants during motor imagery tasks were displayed in real-time on a screen, providing them with visual feedback of their brain activity. This neurofeedback intervention aimed to enhance the participants' attention, potentially leading to improvements in their motor abilities 53 . Additionally, motor imagery can be considered as a cognitive task, while training involving active movements or active-passive movements (driven by a robotic arm) can be viewed as motor tasks.…”

Section: Discussionmentioning

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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“…A 32-channel semi-dry electrode cap was used to record EEG data using a wireless multi-channel EEG acquisition device (ZhenTec NT1, ZhenTec Intelligence, China) (Yuan et al, 2021 ; Han et al, 2022 ). The sampling rate was 500 Hz.…”

Section: Methodsmentioning

confidence: 99%

Questionnaires based on natural language processing elicit immersive ruminative thinking in ruminators: Evidence from behavioral responses and EEG data

Li²,

Zhang³

et al. 2023

Front. Neurosci.

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Rumination is closely related to mental disorders and can thus be used as a marker of their presence or a predictor of their development. The presence of masking and fabrication in psychological selection can lead to inaccurate detection of psychological disorders. Human language is considered crucial in eliciting specific conscious activities, and the use of natural language processing (NLP) in the development of questionnaires for psychological tests has the potential to elicit immersive ruminative thinking, leading to changes in neural activity. Electroencephalography (EEG) is commonly used to detect and record neural activity in the human brain and is sensitive to changes in brain activity. In this study, we used NLP to develop a questionnaire to induce ruminative thinking and then recorded the EEG signals in response to the questionnaire. The behavioral results revealed that ruminators exhibited higher arousal rates and longer reaction times, specifically in response to the ruminative items of the questionnaire. The EEG results showed no significant difference between the ruminators and the control group during the resting state; however, a significant alteration in the coherence of the entire brain of the ruminators existed while they were answering the ruminative items. No differences were found in the control participants while answering the two items. These behavioral and EEG results indicate that the questionnaire elicited immersive ruminative thinking, specifically in the ruminators. Therefore, the questionnaire designed using NLP is capable of eliciting ruminative thinking in ruminators, offering a promising approach for the early detection of mental disorders in psychological selection.

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Effect of BCI-Controlled Pedaling Training System With Multiple Modalities of Feedback on Motor and Cognitive Function Rehabilitation of Early Subacute Stroke Patients

Cited by 18 publications

References 57 publications

Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review

Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review

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

Questionnaires based on natural language processing elicit immersive ruminative thinking in ruminators: Evidence from behavioral responses and EEG data

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