Literature DB >> 17234689

Volitional control of neural activity: implications for brain-computer interfaces.

Eberhard E Fetz1.   

Abstract

Successful operation of brain-computer interfaces (BCI) and brain-machine interfaces (BMI) depends significantly on the degree to which neural activity can be volitionally controlled. This paper reviews evidence for such volitional control in a variety of neural signals, with particular emphasis on the activity of cortical neurons. Some evidence comes from conventional experiments that reveal volitional modulation in neural activity related to behaviours, including real and imagined movements, cognitive imagery and shifts of attention. More direct evidence comes from studies on operant conditioning of neural activity using biofeedback, and from BCI/BMI studies in which neural activity controls cursors or peripheral devices. Limits in the degree of accuracy of control in the latter studies can be attributed to several possible factors. Some of these factors, particularly limited practice time, can be addressed with long-term implanted BCIs. Preliminary observations with implanted circuits implementing recurrent BCIs are summarized.

Mesh:

Year:  2007        PMID: 17234689      PMCID: PMC2151376          DOI: 10.1113/jphysiol.2006.127142

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  52 in total

1.  Correlations between the same motor cortex cells and arm muscles during a trained task, free behavior, and natural sleep in the macaque monkey.

Authors:  Andrew Jackson; Jaideep Mavoori; Eberhard E Fetz
Journal:  J Neurophysiol       Date:  2006-10-04       Impact factor: 2.714

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Review 3.  Assistive technology and robotic control using motor cortex ensemble-based neural interface systems in humans with tetraplegia.

Authors:  John P Donoghue; Arto Nurmikko; Michael Black; Leigh R Hochberg
Journal:  J Physiol       Date:  2007-02-01       Impact factor: 5.182

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Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

Review 5.  Mental imagery in the motor context.

Authors:  M Jeannerod
Journal:  Neuropsychologia       Date:  1995-11       Impact factor: 3.139

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Journal:  Behav Brain Res       Date:  1995-09       Impact factor: 3.332

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Authors:  Niels Birbaumer; Leonardo G Cohen
Journal:  J Physiol       Date:  2007-01-18       Impact factor: 5.182

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Authors:  G Pfurtscheller
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1981-03

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Journal:  Brain Res       Date:  1983-02-07       Impact factor: 3.252

10.  Learning to control a brain-machine interface for reaching and grasping by primates.

Authors:  Jose M Carmena; Mikhail A Lebedev; Roy E Crist; Joseph E O'Doherty; David M Santucci; Dragan F Dimitrov; Parag G Patil; Craig S Henriquez; Miguel A L Nicolelis
Journal:  PLoS Biol       Date:  2003-10-13       Impact factor: 8.029

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  79 in total

Review 1.  Patterned control of human locomotion.

Authors:  Francesco Lacquaniti; Yuri P Ivanenko; Myrka Zago
Journal:  J Physiol       Date:  2012-03-12       Impact factor: 5.182

2.  Subcortical neuronal ensembles: an analysis of motor task association, tremor, oscillations, and synchrony in human patients.

Authors:  Timothy L Hanson; Andrew M Fuller; Mikhail A Lebedev; Dennis A Turner; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2012-06-20       Impact factor: 6.167

3.  Reversible large-scale modification of cortical networks during neuroprosthetic control.

Authors:  Karunesh Ganguly; Dragan F Dimitrov; Jonathan D Wallis; Jose M Carmena
Journal:  Nat Neurosci       Date:  2011-04-17       Impact factor: 24.884

4.  Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression.

Authors:  David M Brandman; Michael C Burkhart; Jessica Kelemen; Brian Franco; Matthew T Harrison; Leigh R Hochberg
Journal:  Neural Comput       Date:  2018-09-14       Impact factor: 2.026

Review 5.  Neural syntax: cell assemblies, synapsembles, and readers.

Authors:  György Buzsáki
Journal:  Neuron       Date:  2010-11-04       Impact factor: 17.173

6.  Brain-machine interfaces and transcranial stimulation: future implications for directing functional movement and improving function after spinal injury in humans.

Authors:  Jose M Carmena; Leonardo G Cohen
Journal:  Handb Clin Neurol       Date:  2012

7.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

8.  Brain-machine interface in chronic stroke rehabilitation: a controlled study.

Authors:  Ander Ramos-Murguialday; Doris Broetz; Massimiliano Rea; Leonhard Läer; Ozge Yilmaz; Fabricio L Brasil; Giulia Liberati; Marco R Curado; Eliana Garcia-Cossio; Alexandros Vyziotis; Woosang Cho; Manuel Agostini; Ernesto Soares; Surjo Soekadar; Andrea Caria; Leonardo G Cohen; Niels Birbaumer
Journal:  Ann Neurol       Date:  2013-08-07       Impact factor: 10.422

9.  Medial gastrocnemius myoelectric control of a robotic ankle exoskeleton.

Authors:  Catherine R Kinnaird; Daniel P Ferris
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

10.  A brain-machine interface instructed by direct intracortical microstimulation.

Authors:  Joseph E O'Doherty; Mikhail A Lebedev; Timothy L Hanson; Nathan A Fitzsimmons; Miguel A L Nicolelis
Journal:  Front Integr Neurosci       Date:  2009-09-01
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