Literature DB >> 23197181

Sensorimotor learning with stereo auditory feedback for a brain-computer interface.

Karl A McCreadie1, Damien H Coyle, Girijesh Prasad.   

Abstract

Motor imagery can be used to modulate sensorimotor rhythms (SMR) enabling detection of voltage fluctuations on the surface of the scalp using electroencephalographic electrodes. Feedback is essential in learning to modulate SMR for non-muscular communication using a brain-computer interface (BCI). A BCI not reliant upon the visual modality not only releases the visual channel for other uses but also offers an attractive means of communication for the physically impaired who are also blind or vision impaired. This study demonstrates the feasibility of replacing the traditional visual feedback modality with stereo auditory feedback. Results from a pilot study were used to select the most appropriate sounds for auditory feedback based on three options: broadband noise and two anechoic instrument samples. Subsequently, an SMR BCI was used to examine the effect on sensorimotor learning with broadband noise utilising a modified stereophonic presentation method. Twenty participants split into equal groups took part in ten sessions. The visual group performed best initially but did not improve over time whilst the auditory group improved as the study progressed. The results demonstrate the feasibility of using stereophonic auditory feedback with broadband noise as opposed to other auditory feedback presentation methods and sounds which are less intuitive.

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Year:  2012        PMID: 23197181     DOI: 10.1007/s11517-012-0992-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  21 in total

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2001-03       Impact factor: 3.802

2.  Auditory localization in the horizontal plane with single and double hearing protection.

Authors:  Douglas S Brungart; Alexander J Kordik; Brian D Simpson; Richard L McKinley
Journal:  Aviat Space Environ Med       Date:  2003-09

3.  A time-series prediction approach for feature extraction in a brain-computer interface.

Authors:  Damien Coyle; Girijesh Prasad; Thomas Martin McGinnity
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-12       Impact factor: 3.802

4.  Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Authors:  Petar Horki; Teodoro Solis-Escalante; Christa Neuper; Gernot Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

5.  Localization of sound in rooms.

Authors:  W M Hartmann
Journal:  J Acoust Soc Am       Date:  1983-11       Impact factor: 1.840

6.  An auditory oddball brain-computer interface for binary choices.

Authors:  S Halder; M Rea; R Andreoni; F Nijboer; E M Hammer; S C Kleih; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2010-01-22       Impact factor: 3.708

7.  A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.

Authors:  F Nijboer; E W Sellers; J Mellinger; M A Jordan; T Matuz; A Furdea; S Halder; U Mochty; D J Krusienski; T M Vaughan; J R Wolpaw; N Birbaumer; A Kübler
Journal:  Clin Neurophysiol       Date:  2008-06-20       Impact factor: 3.708

8.  An auditory brain-computer interface (BCI).

Authors:  Femke Nijboer; Adrian Furdea; Ingo Gunst; Jürgen Mellinger; Dennis J McFarland; Niels Birbaumer; Andrea Kübler
Journal:  J Neurosci Methods       Date:  2007-02-20       Impact factor: 2.390

9.  A multimodal brain-based feedback and communication system.

Authors:  Thilo Hinterberger; Nicola Neumann; Mirko Pham; Andrea Kübler; Anke Grether; Nadine Hofmayer; Barbara Wilhelm; Herta Flor; Niels Birbaumer
Journal:  Exp Brain Res       Date:  2003-11-29       Impact factor: 1.972

10.  A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System.

Authors:  Johannes Höhne; Martijn Schreuder; Benjamin Blankertz; Michael Tangermann
Journal:  Front Neurosci       Date:  2011-08-22       Impact factor: 4.677

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  5 in total

1.  Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly.

Authors:  Javier Gomez-Pilar; Rebeca Corralejo; Luis F Nicolas-Alonso; Daniel Álvarez; Roberto Hornero
Journal:  Med Biol Eng Comput       Date:  2016-02-23       Impact factor: 2.602

2.  Music of brain and music on brain: a novel EEG sonification approach.

Authors:  Shankha Sanyal; Sayan Nag; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh
Journal:  Cogn Neurodyn       Date:  2018-08-28       Impact factor: 5.082

Review 3.  Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface.

Authors:  Xiaowei Sun; Mingyue Li; Quan Li; Hongna Yin; Xicheng Jiang; Hongtao Li; Zhongren Sun; Tiansong Yang
Journal:  Biomed Res Int       Date:  2022-02-07       Impact factor: 3.411

4.  Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study.

Authors:  Xin Li; Lu Wang; Si Miao; Zan Yue; Zhiming Tang; Liujie Su; Yadan Zheng; Xiangzhen Wu; Shan Wang; Jing Wang; Zulin Dou
Journal:  Front Neurosci       Date:  2022-03-11       Impact factor: 4.677

5.  Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability.

Authors:  Brittany M Young; Zack Nigogosyan; Veena A Nair; Léo M Walton; Jie Song; Mitchell E Tyler; Dorothy F Edwards; Kristin Caldera; Justin A Sattin; Justin C Williams; Vivek Prabhakaran
Journal:  Front Neuroeng       Date:  2014-06-24
  5 in total

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