Closed-loop brain training: the science of neurofeedback

被引:0
|
作者
Ranganatha Sitaram
Tomas Ros
Luke Stoeckel
Sven Haller
Frank Scharnowski
Jarrod Lewis-Peacock
Nikolaus Weiskopf
Maria Laura Blefari
Mohit Rana
Ethan Oblak
Niels Birbaumer
James Sulzer
机构
[1] Institute for Biological and Medical Engineering,Department of Psychiatry
[2] and Section of Neuroscience,Department of Psychology
[3] Pontificia Universidad Católica de Chile,Department of Neurophysics
[4] Neurology and Imaging of Cognition Lab,Department of Mechanical Engineering
[5] University of Geneva,undefined
[6] National Institute of Diabetes,undefined
[7] Digestive and Kidney Diseases,undefined
[8] National Institutes of Health,undefined
[9] Affidea Centre Diagnostique Radiologique de Carouge CDRC,undefined
[10] Psychiatric University Hospital,undefined
[11] University of Zürich,undefined
[12] Imaging Research Center,undefined
[13] University of Texas at Austin,undefined
[14] Max Planck Institute for Human Cognitive and Brain Sciences,undefined
[15] Wellcome Trust Centre for Neuroimaging,undefined
[16] Institute of Neurology,undefined
[17] University College London,undefined
[18] Defitech Chair in Brain-Machine Interface,undefined
[19] Center for Neuroprosthetics,undefined
[20] École Polytechnique Fédérale de Lausanne,undefined
[21] University of Texas at Austin,undefined
[22] Wyss Center for Bio and Neuroengeneering,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Neurofeedback is a type of biofeedback in which neural activity is measured and presented through one or more sensory channels to the participant in real time to facilitate self-regulation of the putative neural substrates that underlie a particular behaviour or pathologyAnimal and human brain self-regulation has been demonstrated using various invasive and non-invasive recording methods and with different features of the brain signals, such as frequency spectra, functional connectivity or spatiotemporal patterns of brain activityNeurofeedback provides the possibility of endogenously manipulating brain activity as an independent variable, making it a powerful neuroscientific toolNeurofeedback training results in specific neural changes relevant to the trained brain circuit and the associated behavioural changes. These changes have been shown to last anywhere from hours to months after training and to correlate with changes in grey and white matter structureThe underlying neural circuitry relating to the process of brain self-regulation is becoming clearer. Accumulating evidence suggests the involvement of the thalamus and the dorsolateral prefrontal, posterior parietal and occipital cortices in neurofeedback control, and the dorsal and ventral striatum, anterior cingulate cortex and anterior insula in neurofeedback reward processingPsychological factors, such as the differential influence of feedback, reward and experimental instructions, and other factors, such as sense of agency and locus of control, are now being investigated for their effects on neurofeedbackThe demonstration of robust clinical effects remains a major hurdle in neurofeedback research. The results of randomized controlled trials in attention deficit and hyperactivity disorder and stroke rehabilitation have been mixed, and have been affected by differences in study design, difficulty of identifying responders and the scarcity of homogenous patient populationsFuture neurofeedback research will probably clarify the psychological and neural mechanisms that may help to address issues in clinical translation
引用
收藏
页码:86 / 100
页数:14
相关论文
共 50 条
  • [41] Closed-loop stability
    VanDoren, Vance
    [J]. CONTROL ENGINEERING, 2010, 57 (06) : 64 - 64
  • [42] CLOSED-LOOP IN SCHOOL
    Bratina, N.
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2020, 22 : A12 - A13
  • [43] Individualized treatment of motor stroke: A perspective on open-loop, closed-loop and adaptive closed-loop brain state-dependent TMS
    Roesch, Johanna
    Vetter, David Emanuel
    Baldassarre, Antonello
    Souza, Victor H.
    Lioumis, Pantelis
    Roine, Timo
    Jooss, Andreas
    Baur, David
    Kozak, Gabor
    Jovellar, D. Blair
    Vaalto, Selja
    Romani, Gian Luca
    Ilmoniemi, Risto J.
    Ziemann, Ulf
    [J]. CLINICAL NEUROPHYSIOLOGY, 2024, 158 : 204 - 211
  • [44] CLOSED-LOOP MULCHING
    不详
    [J]. BIOCYCLE, 1992, 33 (07) : 20 - 21
  • [45] CLOSED-LOOP PUMPING
    CAVANAUGH, GJ
    [J]. JOURNAL AMERICAN WATER WORKS ASSOCIATION, 1983, 75 (11): : 550 - 552
  • [46] Closed-loop anesthesia
    Le Guen, Morgan
    Liu, Ngai
    Chazot, Thierry
    Fischler, Marc
    [J]. MINERVA ANESTESIOLOGICA, 2016, 82 (05) : 573 - 581
  • [47] CLOSED-LOOP CASE
    THORNE, HM
    [J]. HARVARD BUSINESS REVIEW, 1985, 63 (05) : 230 - 230
  • [48] CLOSED-LOOP BAKING
    HOPE, VE
    [J]. FOOD ENGINEERING, 1978, 50 (02): : 78 - 82
  • [49] The Closed-Loop Revolution
    Sidwall, Kati
    [J]. IEEE POWER & ENERGY MAGAZINE, 2020, 18 (02): : 38 - 46
  • [50] Closed-loop recycling
    DeGaspari, J
    [J]. MECHANICAL ENGINEERING, 2002, 124 (05) : 26 - 26