Rewiring the disordered connectome with circuit-based paired stimulation after stroke—a randomized, double-blind, controlled phase II trial DOI Creative Commons

Xiang‐Xin Xing,

Jia‐Jia Wu,

Jiao Qu

и другие.

Brain Communications, Год журнала: 2024, Номер 6(6)

Опубликована: Янв. 1, 2024

Abstract The cortico-cortical paired associative stimulation, a combined stimulation based on two brain regions, may be an effective strategy for stroke rehabilitation. Our aim was to confirm that the strengthens connection between regions in motor circuit and promotes improvements function. This randomized double-blind, controlled Phase II trial. 44 Stroke patients were treated rehabilitation hospital from October 2020 January 2021 randomly assigned sham group group. Patients both groups received 12 days of therapy. Cortico-cortical one treatment invention. Both behavioural assessments such as Fugl–Meyer upper-extremity scale resting-state functional MRI scans prior intervention Day 14. 40 completed session. results showed more significant improvement function (6.33 ± 1.29) than (3.16 1.38) (P < 0.001). connectivity connections regions. Correlation analysis confirmed enhancement positively correlated with recovery (r2 = 0.146, P 0.034; r2 0.211, 0.0093). suggest It is expected this study will provide positive viewpoint neurorehabilitation circuit-level plasticity. (Chinese Clinical Trial Registry: ChiCTR2000036685).

Язык: Английский

Recent applications of EEG-based brain-computer-interface in the medical field DOI Creative Commons
Xiuyun Liu, Wenlong Wang, Miao Liu

и другие.

Military Medical Research, Год журнала: 2025, Номер 12(1)

Опубликована: Март 24, 2025

Abstract Brain-computer interfaces (BCIs) represent an emerging technology that facilitates direct communication between the brain and external devices. In recent years, numerous review articles have explored various aspects of BCIs, including their fundamental principles, technical advancements, applications in specific domains. However, these reviews often focus on signal processing, hardware development, or limited such as motor rehabilitation communication. This paper aims to offer a comprehensive electroencephalogram (EEG)-based BCI medical field across 8 critical areas, encompassing rehabilitation, daily communication, epilepsy, cerebral resuscitation, sleep, neurodegenerative diseases, anesthesiology, emotion recognition. Moreover, current challenges future trends BCIs were also discussed, personal privacy ethical concerns, network security vulnerabilities, safety issues, biocompatibility.

Язык: Английский

Процитировано

2
Age-Related Dysfunction in Balance: A Comprehensive Review of Causes, Consequences, and Interventions DOI Creative Commons
Jixian Wang,

Yongfang Li,

Guo-Yuan Yang

и другие.

Aging and Disease, Год журнала: 2024, Номер unknown, С. 0 - 0

Опубликована: Янв. 1, 2024

This review delves into the multifaceted aspects of age-related balance changes, highlighting their prevalence, underlying causes, and impact they have on elderly population. Central to this discussion is exploration various physiological changes that occur with aging, such as alterations in vestibular, visual, proprioceptive systems, musculoskeletal degeneration. We examine role neurological disorders, cognitive decline, medication side effects exacerbating issues. The underscores significance early detection effective intervention strategies mitigating risks associated problems, falls reduced mobility. It discusses effectiveness diverse strategies, including exercise programs, rehabilitation techniques, technological advancements like virtual reality, wearable devices, telemedicine. Additionally, stresses importance a holistic approach managing encompassing review, addressing comorbidities, environmental modifications. paper also presents future research directions, emphasizing need for deeper understanding complex mechanisms aging potential emerging technologies interdisciplinary approaches enhancing assessment methods. comprehensive aims provide valuable insights healthcare providers, researchers, policymakers developing targeted improve quality life ensure well-being

Язык: Английский

Процитировано

14
Effects of brain-computer interface based training on post-stroke upper-limb rehabilitation: a meta-analysis DOI Creative Commons
Dan Li, Ruoyu Li,

Yunping Song

и другие.

Journal of NeuroEngineering and Rehabilitation, Год журнала: 2025, Номер 22(1)

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

1
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation DOI
Ruoqing Zhang, Shanshan Feng, Nan Hu

и другие.

IEEE Journal of Biomedical and Health Informatics, Год журнала: 2024, Номер 28(7), С. 4194 - 4203

Опубликована: Апрель 22, 2024

Soft robotic glove controlled by a brain-computer interface (BCI) have demonstrated effectiveness in hand rehabilitation for stroke patients. Current systems mostly rely on static visual representations patients to perform motor imagination (MI) tasks, resulting lower BCI performance. Therefore, this study innovatively used MI and high-frequency steady-state evoked potential (SSVEP) construct friendly natural hybrid paradigm. Specifically, the stimulation sequentially presented decomposed action pictures of left right hands gripping ball, with flashing at specific frequencies (left: 34 Hz, right: 35 Hz). Integrating soft as feedback, we established comprehensive "peripheral - central peripheral" system facilitate Filter bank common spatial pattern (FBCSP) filter canonical correlation analysis (FBCCA) algorithms were identify SSVEP signals, respectively. Additionally, fuse features these two proposed novel fusion algorithm improving recognition accuracy system. The feasibility was validated through online experiments involving 12 healthy subjects 9 patients, achieving rates 95.83 ± 6.83% 63.33 10.38%, reached 81.67 15.63% 95.14 7.47%, both than after fusion, results confirmed algorithm. rate more 50% confirming

Язык: Английский

Процитировано

6
Mi-Bci Training: Quantifying and Evaluating the Motor Imagery Ability of Subjects Based on Eeg Microstate DOI
Mingyu Zhang, Yuxin Zhang, Wentao Liu

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Effectiveness of technology-based stroke interventions to improve upper limb functioning in low- and middle-income countries: a systematic review and meta-analysis DOI
Meiling Carbajal Galarza, Nathaly Olga Chinchihualpa Paredes, Sergio Alejandro Abanto-Perez

и другие.

Topics in Stroke Rehabilitation, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Март 10, 2025

Stroke is one of the leading causes disability worldwide, with low- and middle- income countries (LMICs) representing 69% stroke incidence. Technology-based interventions offer potential for improving motor function rehabilitation adherence; however, their impact in LMICs remains unknown. To measure efficacy technological compared to conventional physical post- upper limb LMICs. We conducted a systematic review (PROSPERO registration: CRD42020213333) randomized clinical trials (RCTs) from PubMed, Global Index Medicus, Physiotherapy Evidence Databases. Studies included survivors receiving rehabilitation. Effectiveness outcomes function, performance activities daily living, quality life. A meta-analysis was performed using mean differences (MD) 95% confidence intervals (95% CI). Risk bias assessed Cochrane Collaboration tool RCTs. Fifty studies were after screening phase, comprising total 2646 participants. Nine evaluated, including: virtual reality (40%), robotics (22%), telerehabilitation (10%), among others. Meta-analysis showed significant effect immersive on Fugl-Meyer Scale (MD 5.65; CI 4.88 6.43) activity Functional Independence Measure 4,82; 2,45-7,19). difference also found between therapy modified Barthel index 3.28; 0.86 5.70). Immersive are effective

Язык: Английский

Процитировано

0
A review of hybrid EEG-based multimodal human–computer interfaces using deep learning: applications, advances, and challenges DOI
Hyung-Tak Lee, Miseon Shim,

Xianghong Liu

и другие.

Biomedical Engineering Letters, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0
Brain–computer interfaces in 2023–2024 DOI Creative Commons
Shugeng Chen, Mingyi Chen, Xu Wang

и другие.

Brain‐X, Год журнала: 2025, Номер 3(1)

Опубликована: Март 1, 2025

Abstract Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly the medical domain. This review provides comprehensive summary of progress made BCIs during 2023–2024 period, covering wide range topics from invasive to non‐invasive techniques, and fundamental mechanisms clinical applications. The period saw numerous research breakthroughs applications BCI technology. As hardware software continue evolve, as understanding basic principles deepens, expectation is that innovative inventions will increasingly be introduced practice. Both technologies are paving way for broader It anticipated offer greater hope disease treatment, provide additional methods enhancing human bodily functions, ultimately improve quality life.

Язык: Английский

Процитировано

0
Efficacy of brain-computer interfaces on upper extremity motor function rehabilitation after stroke: A systematic review and meta-analysis DOI
Ming Zhang, Feilong Zhu, Fan Jia

и другие.

Neurorehabilitation, Год журнала: 2023, Номер 54(2), С. 199 - 212

Опубликована: Дек. 22, 2023

BACKGROUND: The recovery of upper limb function is crucial to the daily life activities stroke patients. Brain-computer interface technology may have potential benefits in treating dysfunction. OBJECTIVE: To systematically evaluate efficacy brain-computer interfaces (BCI) rehabilitation motor METHODS: Six databases up July 2023 were reviewed according PRSIMA guidelines. Randomized controlled trials BCI-based functional for patients selected meta-analysis by pooling standardized mean difference (SMD) summarize evidence. Cochrane risk bias tool was used assess methodological quality included studies. RESULTS: Twenty-five studies included. showed that BCI had a small effect on improvement after intervention. In terms total duration training, < 12 hours training result better rehabilitation, but greater than suggests non significant therapeutic training. CONCLUSION: This has slight improving and favorable long-term outcomes. lead rehabilitation.

Язык: Английский

Процитировано

9
Brain–Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review) DOI Open Access
О. А. Мокиенко, R. Kh. Lyukmanov, Pavel Bobrov

и другие.

Sovremennye tehnologii v medicine, Год журнала: 2023, Номер 15(6), С. 63 - 63

Опубликована: Дек. 27, 2023

Brain-computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties these have been studied in numerous clinical trials more than 10 years, and their construct software constantly being improved. Despite the positive treatment results availability registered medical devices, there currently number problems wide application BCI technologies. This review provides information on most types BCIs its protocols describes evidence base effectiveness upper limb recovery after stroke. The main scaling this technology ways to solve them also described.

Язык: Английский

Процитировано

3