Literature DB >> 15188866

An EEG-driven brain-computer interface combined with functional magnetic resonance imaging (fMRI).

Thilo Hinterberger1, Nikolaus Weiskopf, Ralf Veit, Barbara Wilhelm, Elena Betta, Niels Birbaumer.   

Abstract

Self-regulation of slow cortical potentials (SCPs) has been successfully used to prevent epileptic seizures as well as to communicate with completely paralyzed patients. The thought translation device (TTD) is a brain-computer interface (BCI) that was developed for training and application of SCP self-regulation. To investigate the neurophysiological mechanisms of SCP regulation the TTD was combined with functional magnetic resonance imaging (fMRI). The technical aspects and pitfalls of combined fMRI data acquisition and EEG neurofeedback are discussed. First data of SCP feedback during fMRI are presented.

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Year:  2004        PMID: 15188866     DOI: 10.1109/TBME.2004.827069

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

1.  Magnetoencephalographic signals predict movement trajectory in space.

Authors:  Apostolos P Georgopoulos; Frederick J P Langheim; Arthur C Leuthold; Alexander N Merkle
Journal:  Exp Brain Res       Date:  2005-10-29       Impact factor: 1.972

2.  Model analyses of visual biofeedback training for EEG-based brain-computer interface.

Authors:  Chih-Wei Chen; Ming-Shaung Ju; Yun-Nien Sun; Chou-Ching K Lin
Journal:  J Comput Neurosci       Date:  2009-04-09       Impact factor: 1.621

3.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

Review 4.  Brain-computer interfaces: communication and restoration of movement in paralysis.

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

5.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

6.  Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm.

Authors:  Jong-Hwan Lee; Jeongwon Ryu; Ferenc A Jolesz; Zang-Hee Cho; Seung-Schik Yoo
Journal:  Neurosci Lett       Date:  2008-11-14       Impact factor: 3.046

7.  A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition.

Authors:  Gopikrishna Deshpande; D Rangaprakash; Luke Oeding; Andrzej Cichocki; Xiaoping P Hu
Journal:  Front Neurosci       Date:  2017-06-07       Impact factor: 4.677

8.  Phase informed model for motion and susceptibility.

Authors:  Chloe Hutton; Jesper Andersson; Ralf Deichmann; Nikolaus Weiskopf
Journal:  Hum Brain Mapp       Date:  2012-06-27       Impact factor: 5.038

Review 9.  Evolution of electroencephalogram signal analysis techniques during anesthesia.

Authors:  Mahmoud I Al-Kadi; Mamun Bin Ibne Reaz; Mohd Alauddin Mohd Ali
Journal:  Sensors (Basel)       Date:  2013-05-17       Impact factor: 3.576

Review 10.  A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders.

Authors:  Aklima Akter Lima; M Firoz Mridha; Sujoy Chandra Das; Muhammad Mohsin Kabir; Md Rashedul Islam; Yutaka Watanobe
Journal:  Biology (Basel)       Date:  2022-03-18
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