Literature DB >> 23754426

Distributed cortical adaptation during learning of a brain-computer interface task.

Jeremiah D Wander1, Timothy Blakely, Kai J Miller, Kurt E Weaver, Lise A Johnson, Jared D Olson, Eberhard E Fetz, Rajesh P N Rao, Jeffrey G Ojemann.   

Abstract

The majority of subjects who attempt to learn control of a brain-computer interface (BCI) can do so with adequate training. Much like when one learns to type or ride a bicycle, BCI users report transitioning from a deliberate, cognitively focused mindset to near automatic control as training progresses. What are the neural correlates of this process of BCI skill acquisition? Seven subjects were implanted with electrocorticography (ECoG) electrodes and had multiple opportunities to practice a 1D BCI task. As subjects became proficient, strong initial task-related activation was followed by lessening of activation in prefrontal cortex, premotor cortex, and posterior parietal cortex, areas that have previously been implicated in the cognitive phase of motor sequence learning and abstract task learning. These results demonstrate that, although the use of a BCI only requires modulation of a local population of neurons, a distributed network of cortical areas is involved in the acquisition of BCI proficiency.

Keywords:  brain–machine interface; electrophysiology; high gamma; motor learning; plasticity

Mesh:

Year:  2013        PMID: 23754426      PMCID: PMC3696802          DOI: 10.1073/pnas.1221127110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

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Review 2.  Central mechanisms of motor skill learning.

Authors:  Okihide Hikosaka; Kae Nakamura; Katsuyuki Sakai; Hiroyuki Nakahara
Journal:  Curr Opin Neurobiol       Date:  2002-04       Impact factor: 6.627

3.  Cortical activity during motor execution, motor imagery, and imagery-based online feedback.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-16       Impact factor: 11.205

4.  Machine-learning-based coadaptive calibration for brain-computer interfaces.

Authors:  Carmen Vidaurre; Claudia Sannelli; Klaus-Robert Müller; Benjamin Blankertz
Journal:  Neural Comput       Date:  2010-12-16       Impact factor: 2.026

Review 5.  The posterior parietal cortex: sensorimotor interface for the planning and online control of visually guided movements.

Authors:  Christopher A Buneo; Richard A Andersen
Journal:  Neuropsychologia       Date:  2005-11-21       Impact factor: 3.139

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Authors:  E E Fetz; M A Baker
Journal:  J Neurophysiol       Date:  1973-03       Impact factor: 2.714

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Authors:  E E Fetz
Journal:  Science       Date:  1969-02-28       Impact factor: 47.728

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Authors:  I H Jenkins; D J Brooks; P D Nixon; R S Frackowiak; R E Passingham
Journal:  J Neurosci       Date:  1994-06       Impact factor: 6.167

9.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization.

Authors:  N E Crone; D L Miglioretti; B Gordon; J M Sieracki; M T Wilson; S Uematsu; R P Lesser
Journal:  Brain       Date:  1998-12       Impact factor: 13.501

10.  Emergence of a stable cortical map for neuroprosthetic control.

Authors:  Karunesh Ganguly; Jose M Carmena
Journal:  PLoS Biol       Date:  2009-07-21       Impact factor: 8.029

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  56 in total

1.  Comparison of subdural and subgaleal recordings of cortical high-gamma activity in humans.

Authors:  Jared D Olson; Jeremiah D Wander; Lise Johnson; Devapratim Sarma; Kurt Weaver; Edward J Novotny; Jeffrey G Ojemann; Felix Darvas
Journal:  Clin Neurophysiol       Date:  2015-04-09       Impact factor: 3.708

2.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

3.  Cortical and subcortical mechanisms of brain-machine interfaces.

Authors:  Silvia Marchesotti; Roberto Martuzzi; Aaron Schurger; Maria Laura Blefari; José R Del Millán; Hannes Bleuler; Olaf Blanke
Journal:  Hum Brain Mapp       Date:  2017-03-21       Impact factor: 5.038

Review 4.  Physiological properties of brain-machine interface input signals.

Authors:  Marc W Slutzky; Robert D Flint
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

Review 5.  Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication.

Authors:  Kevin M Pitt; Jonathan S Brumberg
Journal:  Am J Speech Lang Pathol       Date:  2018-08-06       Impact factor: 2.408

Review 6.  Parsing learning in networks using brain-machine interfaces.

Authors:  Amy L Orsborn; Bijan Pesaran
Journal:  Curr Opin Neurobiol       Date:  2017-08-24       Impact factor: 6.627

7.  Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms.

Authors:  Bradley J Edelman; Jianjun Meng; Nicholas Gulachek; Christopher C Cline; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

8.  Short-time windowed covariance: a metric for identifying non-stationary, event-related covariant cortical sites.

Authors:  Timothy Blakely; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  J Neurosci Methods       Date:  2013-11-06       Impact factor: 2.390

9.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

10.  Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks.

Authors:  Jianjun Meng; Taylor Streitz; Nicholas Gulachek; Daniel Suma; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-01       Impact factor: 4.538

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