Literature DB >> 22748322

A real-time fMRI-based spelling device immediately enabling robust motor-independent communication.

Bettina Sorger1, Joel Reithler, Brigitte Dahmen, Rainer Goebel.   

Abstract

Human communication entirely depends on the functional integrity of the neuromuscular system. This is devastatingly illustrated in clinical conditions such as the so-called locked-in syndrome (LIS), in which severely motor-disabled patients become incapable to communicate naturally--while being fully conscious and awake. For the last 20 years, research on motor-independent communication has focused on developing brain-computer interfaces (BCIs) implementing neuroelectric signals for communication (e.g., [2-7]), and BCIs based on electroencephalography (EEG) have already been applied successfully to concerned patients. However, not all patients achieve proficiency in EEG-based BCI control. Thus, more recently, hemodynamic brain signals have also been explored for BCI purposes. Here, we introduce the first spelling device based on fMRI. By exploiting spatiotemporal characteristics of hemodynamic responses, evoked by performing differently timed mental imagery tasks, our novel letter encoding technique allows translating any freely chosen answer (letter-by-letter) into reliable and differentiable single-trial fMRI signals. Most importantly, automated letter decoding in real time enables back-and-forth communication within a single scanning session. Because the suggested spelling device requires only little effort and pretraining, it is immediately operational and possesses high potential for clinical applications, both in terms of diagnostics and establishing short-term communication with nonresponsive and severely motor-impaired patients.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22748322     DOI: 10.1016/j.cub.2012.05.022

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  32 in total

Review 1.  Detecting awareness after severe brain injury.

Authors:  Davinia Fernández-Espejo; Adrian M Owen
Journal:  Nat Rev Neurosci       Date:  2013-10-03       Impact factor: 34.870

Review 2.  Real-time fMRI neurofeedback: progress and challenges.

Authors:  J Sulzer; S Haller; F Scharnowski; N Weiskopf; N Birbaumer; M L Blefari; A B Bruehl; L G Cohen; R C DeCharms; R Gassert; R Goebel; U Herwig; S LaConte; D Linden; A Luft; E Seifritz; R Sitaram
Journal:  Neuroimage       Date:  2013-03-27       Impact factor: 6.556

3.  Performance measurement for brain-computer or brain-machine interfaces: a tutorial.

Authors:  David E Thompson; Lucia R Quitadamo; Luca Mainardi; Khalil Ur Rehman Laghari; Shangkai Gao; Pieter-Jan Kindermans; John D Simeral; Reza Fazel-Rezai; Matteo Matteucci; Tiago H Falk; Luigi Bianchi; Cynthia A Chestek; Jane E Huggins
Journal:  J Neural Eng       Date:  2014-05-19       Impact factor: 5.379

4.  A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes.

Authors:  Thomas Naselaris; Cheryl A Olman; Dustin E Stansbury; Kamil Ugurbil; Jack L Gallant
Journal:  Neuroimage       Date:  2014-10-29       Impact factor: 6.556

5.  A proof-of-principle study of multi-site real-time functional imaging at 3T and 7T: Implementation and validation.

Authors:  Sebastian Baecke; Ralf Lützkendorf; Johannes Mallow; Michael Luchtmann; Claus Tempelmann; Jörg Stadler; Johannes Bernarding
Journal:  Sci Rep       Date:  2015-02-12       Impact factor: 4.379

6.  Navigation of a telepresence robot via covert visuospatial attention and real-time fMRI.

Authors:  Patrik Andersson; Josien P W Pluim; Max A Viergever; Nick F Ramsey
Journal:  Brain Topogr       Date:  2012-09-11       Impact factor: 3.020

7.  [Motor-independent communication by severely physically challenged patients: neuroscientific research results and patient autonomy].

Authors:  K Brukamp
Journal:  Nervenarzt       Date:  2013-10       Impact factor: 1.214

Review 8.  Cognitive-motor brain-machine interfaces.

Authors:  Ariel Tankus; Itzhak Fried; Shy Shoham
Journal:  J Physiol Paris       Date:  2013-06-15

9.  Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains.

Authors:  Seung-Schik Yoo; Hyungmin Kim; Emmanuel Filandrianos; Seyed Javid Taghados; Shinsuk Park
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

10.  Retrieving Binary Answers Using Whole-Brain Activity Pattern Classification.

Authors:  Norberto E Nawa; Hiroshi Ando
Journal:  Front Hum Neurosci       Date:  2015-12-23       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.