The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial

被引:2
|
作者
Cipriani, Marta [1 ,2 ]
Pichiorri, Floriana [3 ]
Colamarino, Emma [3 ,4 ]
Toppi, Jlenia [3 ,4 ]
Tamburella, Federica [3 ]
Lorusso, Matteo [3 ]
Bigioni, Alessandra [3 ]
Morone, Giovanni [3 ]
Tomaiuolo, Francesco [5 ]
Santoro, Filippo [6 ]
Cordella, Daniele [7 ]
Molinari, Marco [3 ]
Cincotti, Febo [3 ,4 ]
Mattia, Donatella [3 ]
Puopolo, Maria [1 ]
机构
[1] Ist Super Sanita, Dept Neurosci, Rome, Italy
[2] Sapienza Univ Rome, Dept Stat Sci, Rome, Italy
[3] Fdn Santa Lucia, IRCCS, Rome, Italy
[4] Sapienza Univ Rome, Dept Comp Control & Management Engn Antonio Rubert, Rome, Italy
[5] Univ Messina, Dept Clin & Expt Med, Messina, Italy
[6] Ist Super Sanita, Res Coordinat & Support Serv, Rome, Italy
[7] Ist Super Sanita, IT Serv, Rome, Italy
关键词
EEG-based brain-computer interface; Stroke; Hand functional motor recovery; Neurorehabilitation; Randomized controlled trial; Statistical analysis plan; REHABILITATION; METHODOLOGY; IMPAIRMENT; EFFICIENCY;
D O I
10.1186/s13063-023-07773-4
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundElectroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. The Promotoer study aims to assess the short and long-term efficacy of the Promotoer system, an EEG-based BCI assisting motor imagery (MI) practice, in enhancing post-stroke functional hand motor recovery. This paper details the statistical analysis plan of the Promotoer study.MethodsThe Promotoer study is a randomized, controlled, assessor-blinded, single-centre, superiority trial, with two parallel groups and a 1:1 allocation ratio. Subacute stroke patients are randomized to EEG-based BCI-assisted MI training or to MI training alone (i.e. no BCI). An internal pilot study for sample size re-assessment is planned. The primary outcome is the effectiveness of the Upper Extremity Fugl-Meyer Assessment (UE-FMA) score. Secondary outcomes include clinical, functional, and user experience scores assessed at the end of intervention and at follow-up. Neurophysiological assessments are also planned. Effectiveness formulas have been specified, and intention-to-treat and per-protocol populations have been defined. Statistical methods for comparisons of groups and for development of a predictive score of significant improvement are described. Explorative subgroup analyses and methodology to handle missing data are considered.DiscussionThe Promotoer study will provide robust evidence for the short/long-term efficacy of the Promotoer system in subacute stroke patients undergoing a rehabilitation program. Moreover, the development of a predictive score of response will allow transferring of the Promotoer system to optimal clinical practice. By carefully describing the statistical principles and procedures, the statistical analysis plan provides transparency in the analysis of data.Trial registrationClinicalTrials.gov NCT04353297. Registered on April 15, 2020.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery With and Without tDCS: A Pilot Study
    Hu, Mengjiao
    Cheng, Hsiao-Ju
    Ji, Fang
    Chong, Joanna Su Xian
    Lu, Zhongkang
    Huang, Weimin
    Ang, Kai Keng
    Phua, Kok Soon
    Chuang, Kai-Hsiang
    Jiang, Xudong
    Chew, Effie
    Guan, Cuntai
    Zhou, Juan Helen
    FRONTIERS IN HUMAN NEUROSCIENCE, 2021, 15
  • [22] Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
    Hu, Yi-Qian
    Gao, Tian-Hao
    Li, Jie
    Tao, Jia-Chao
    Bai, Yu-Long
    Lu, Rong-Rong
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2021, 2021
  • [23] Effects of Brain-Computer Interface and Classical Motor Imagery for Upper Limb Impairment After Stroke: A Case Report
    Hu, Yi-Qian
    Lu, Rong-Rong
    Gao, Tian-Hao
    Zhuang, Jie
    Bai, Yu-Long
    INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2022), PT III, 2022, 13457 : 71 - 78
  • [24] Brain-Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review)
    Mokienko, O. A.
    Lyukmanov, R. Kh.
    Bobrov, P. D.
    Suponeva, N. A.
    Piradov, M. A.
    SOVREMENNYE TEHNOLOGII V MEDICINE, 2023, 15 (06) : 63 - 73
  • [25] Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
    Girijesh Prasad
    Pawel Herman
    Damien Coyle
    Suzanne McDonough
    Jacqueline Crosbie
    Journal of NeuroEngineering and Rehabilitation, 7
  • [26] REINVENT: A Low-Cost, Virtual Reality Brain-Computer Interface for Severe Stroke Upper Limb Motor Recovery
    Spicer, Ryan
    Anglin, Julia
    Krum, David M.
    Liew, Sook-Lei
    2017 IEEE VIRTUAL REALITY (VR), 2017, : 385 - 386
  • [27] Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study
    Prasad, Girijesh
    Herman, Pawel
    Coyle, Damien
    McDonough, Suzanne
    Crosbie, Jacqueline
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2010, 7
  • [28] Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort
    Pichiorri, F.
    Colamarino, E.
    Cincotti, F.
    Mattia, D.
    EUROPEAN JOURNAL OF NEUROLOGY, 2018, 25 : 50 - 50
  • [29] Effects of Brain-Computer Interface Controlled Functional Electrical Stimulation on Motor Recovery in Stroke Survivors: a Systematic Review
    Alashram, Anas R.
    Padua, Elvira
    Annino, Giuseppe
    CURRENT PHYSICAL MEDICINE AND REHABILITATION REPORTS, 2022, 10 (04) : 299 - 310
  • [30] Effects of Brain-Computer Interface Controlled Functional Electrical Stimulation on Motor Recovery in Stroke Survivors: a Systematic Review
    Anas R. Alashram
    Elvira Padua
    Giuseppe Annino
    Current Physical Medicine and Rehabilitation Reports, 2022, 10 : 299 - 310