Literature DB >> 12899251

The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome.

Niels Birbaumer1, Thilo Hinterberger, Andrea Kübler, Nicola Neumann.   

Abstract

The thought-translation device (TTD) consists of a training device and spelling program for the completely paralyzed using slow-cortical brain potentials (SCP). During the training phase, the self-regulation of SCPs is learned through visual-auditory feedback and positive reinforcement of SCPs; during the spelling phase, patients select letters or words with their SCPs. A psychophysiological system for detection of cognitive functioning in completely paralyzed patients is an integral part of the TTD. The neurophysiological and anatomical basis of SCP-regulation was investigated by recording of BOLD-response in functional magnetic resonance imaging. Results showed involvement of basal ganglia and premotor cortex for required SCP positivity. The clinical outcome of 11 paralyzed patients using the TTD and quality of life of severely paralyzed patients is described. First attempts to improve learning of brain regulation with transcranial magnetic stimulation were successful.

Entities:  

Mesh:

Year:  2003        PMID: 12899251     DOI: 10.1109/TNSRE.2003.814439

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  19 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

Review 2.  [Neuroethics--a future discipline?].

Authors:  G Northoff; J Witzel; B Bogerts
Journal:  Nervenarzt       Date:  2006-01       Impact factor: 1.214

Review 3.  The development of brain-machine interface neuroprosthetic devices.

Authors:  Parag G Patil; Dennis A Turner
Journal:  Neurotherapeutics       Date:  2008-01       Impact factor: 7.620

4.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
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5.  Joint spatial-spectral feature space clustering for speech activity detection from ECoG signals.

Authors:  Vasileios G Kanas; Iosif Mporas; Heather L Benz; Kyriakos N Sgarbas; Anastasios Bezerianos; Nathan E Crone
Journal:  IEEE Trans Biomed Eng       Date:  2014-04       Impact factor: 4.538

6.  Unsupervised movement onset detection from EEG recorded during self-paced real hand movement.

Authors:  Bashar Awwad Shiekh Hasan; John Q Gan
Journal:  Med Biol Eng Comput       Date:  2009-11-04       Impact factor: 2.602

7.  Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface.

Authors:  Jing Jin; Brendan Z Allison; Eric W Sellers; Clemens Brunner; Petar Horki; Xingyu Wang; Christa Neuper
Journal:  Med Biol Eng Comput       Date:  2010-10-02       Impact factor: 2.602

Review 8.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

9.  Brain-Computer Interfaces for Speech Communication.

Authors:  Jonathan S Brumberg; Alfonso Nieto-Castanon; Philip R Kennedy; Frank H Guenther
Journal:  Speech Commun       Date:  2010-04-01       Impact factor: 2.017

10.  A wireless brain-machine interface for real-time speech synthesis.

Authors:  Frank H Guenther; Jonathan S Brumberg; E Joseph Wright; Alfonso Nieto-Castanon; Jason A Tourville; Mikhail Panko; Robert Law; Steven A Siebert; Jess L Bartels; Dinal S Andreasen; Princewill Ehirim; Hui Mao; Philip R Kennedy
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

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