Intracortical brain-computer interfaces for improved motor function: a systematic review

被引:0
|
作者
Holt, Matthew W. [1 ]
Robinson, Eric C. [2 ]
Shlobin, Nathan A. [3 ]
Hanson, Jacob T. [4 ]
Bozkurt, Ismail [5 ,6 ]
机构
[1] Univ South Carolina Beaufort, Dept Nat Sci, 1 Univ Blvd, Bluffton, SC 29909 USA
[2] Ross Univ, Sch Med, Miramar, FL 33027 USA
[3] Northwestern Univ, Feinberg Sch Med, Dept Neurol Surg, Chicago, IL 60611 USA
[4] Rocky Vista Univ, Coll Osteopath Med, Englewood, CO 80112 USA
[5] Yuksek Ihtisas Univ, Sch Med, Dept Neurosurg, TR-06530 Ankara, Turkiye
[6] Med Pk Ankara Hosp, Dept Neurosurg, TR-06680 Ankara, Turkiye
关键词
brain-computer interface; brain-machine interface; implant; motor cortex; intracortical; EEG BIOFEEDBACK; ALPHA RHYTHMS; COMMUNICATION; TETRAPLEGIA; ENSEMBLES; MOVEMENT; FEEDBACK; NEURONS;
D O I
10.1515/revneuro-2023-0077
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In this systematic review, we address the status of intracortical brain-computer interfaces (iBCIs) applied to the motor cortex to improve function in patients with impaired motor ability. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Guidelines for Systematic Reviews. Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) and the Effective Public Health Practice Project (EPHPP) were used to assess bias and quality. Advances in iBCIs in the last two decades demonstrated the use of iBCI to activate limbs for functional tasks, achieve neural typing for communication, and other applications. However, the inconsistency of performance metrics employed by these studies suggests the need for standardization. Each study was a pilot clinical trial consisting of 1-4, majority male (64.28 %) participants, with most trials featuring participants treated for more than 12 months (55.55 %). The systems treated patients with various conditions: amyotrophic lateral sclerosis, stroke, spinocerebellar degeneration without cerebellar involvement, and spinal cord injury. All participants presented with tetraplegia at implantation and were implanted with microelectrode arrays via pneumatic insertion, with nearly all electrode locations solely at the precentral gyrus of the motor cortex (88.88 %). The development of iBCI devices using neural signals from the motor cortex to improve motor-impaired patients has enhanced the ability of these systems to return ability to their users. However, many milestones remain before these devices can prove their feasibility for recovery. This review summarizes the achievements and shortfalls of these systems and their respective trials.
引用
收藏
页码:213 / 223
页数:11
相关论文
共 50 条
  • [21] A Systematic Review of Bimanual Motor Coordination in Brain-Computer Interface
    Tantawanich, Poraneepan
    Phunruangsakao, Chatrin
    Izumi, Shin-Ichi
    Hayashibe, Mitsuhiro
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2025, 33 : 266 - 285
  • [22] A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
    Choi, Inchul
    Rhiu, Ilsun
    Lee, Yushin
    Yun, Myung Hwan
    Nam, Chang S.
    PLOS ONE, 2017, 12 (04):
  • [23] Motor imagery and brain-computer interfaces for restoration of movement
    Neuper, Christa
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 724 - 724
  • [24] The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces
    Maynard, EM
    Nordhausen, CT
    Normann, RA
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1997, 102 (03): : 228 - 239
  • [25] Power-saving design opportunities for wireless intracortical brain-computer interfaces
    Even-Chen, Nir
    Muratore, Dante G.
    Stavisky, Sergey D.
    Hochberg, Leigh R.
    Henderson, Jaimie M.
    Murmann, Boris
    Shenoy, Krishna V.
    NATURE BIOMEDICAL ENGINEERING, 2020, 4 (10) : 984 - 996
  • [26] A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces
    Willett, Francis R.
    Murphy, Brian A.
    Young, Daniel
    Memberg, William D.
    Blabe, Christine H.
    Pandarinath, Chethan
    Franco, Brian
    Saab, Jad
    Walter, Benjamin L.
    Sweet, Jennifer A.
    Miller, Jonathan P.
    Henderson, Jaimie M.
    Shenoy, Krishna V.
    Simeral, John D.
    Jarosiewicz, Beata
    Hochberg, Leigh R.
    Kirsch, Robert F.
    Ajiboye, A. Bolu
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2018, 65 (09) : 2066 - 2078
  • [27] Feedback control policies employed by people using intracortical brain-computer interfaces
    Willett, Francis R.
    Pandarinath, Chethan
    Jarosiewicz, Beata
    Murphy, Brian A.
    Memberg, William D.
    Blabe, Christine H.
    Saab, Jad
    Walter, Benjamin L.
    Sweet, Jennifer A.
    Miller, Jonathan P.
    Henderson, Jaimie M.
    Shenoy, Krishna V.
    Simeral, John D.
    Hochberg, Leigh R.
    Kirsch, Robert F.
    Ajiboye, A. Bolu
    JOURNAL OF NEURAL ENGINEERING, 2017, 14 (01)
  • [28] Riemannian Approaches in Brain-Computer Interfaces: A Review
    Yger, Florian
    Berar, Maxime
    Lotte, Fabien
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (10) : 1753 - 1762
  • [29] Brain-computer interfaces
    Sajda, Paul
    Mueller, Klaus-Robert
    Shenoy, Krishna V.
    IEEE SIGNAL PROCESSING MAGAZINE, 2008, 25 (01) : 16 - 17
  • [30] Brain-Computer Interfaces Systems for Upper and Lower Limb Rehabilitation: A Systematic Review
    Camargo-Vargas, Daniela
    Callejas-Cuervo, Mauro
    Mazzoleni, Stefano
    SENSORS, 2021, 21 (13)