BBCI - Skills

IN CONSTRUCTION

Here, we list references that each member of the BBCI should know, and skills and knowledge that everybody should have.

Literature - General BCI

BCI Overview

• Kübler A, Müller KR, An introducton to brain computer interfacing, in Toward Brain-Computer Interfacing, MIT press, 2007 pdf.

• Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin Neurophysiol, 113:767-791, 2002. pdf.

ERD/ERS

• Pfurtscheller G, Lopes da Silva FH. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110(11):1842-1857, Nov 1999 pdf.

ERPs (suggestions for better/other references?)

• Patel SH, Azzam PN, Characterization of N200 and P300: Selected Studies of the Event-Related Potential. Int J Medical Sciences 2(4):147-154, 2005 pdf.

Techniques

• Blankertz B, Lemm S, Treder MS, Haufe S, Müller KR, Single-trial analysis and classification of ERP components - a tutorial, NeuroImage, in press. pdf

• Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller KR. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Proc Magazine, 25(1):41-56, 2008. pdf

• Lemm S, Dickhaus T, Blankertz B, Müller KR. Machine Learning and Pattern Recognition in Computational Neuroscience - a Review, NeuroImage, in press pdf

• Parra LC, Spence CD, Gerson AD, Sajda P. Recipes for the linear analysis of EEG. NeuroImage, 28(2):326-341, 2005. pdf

• Parra LC, Christoforou C, Gerson AD, Dyrholm M, Luo A, Wagner M, Philastides M, Sajda P. Spatiotemporal Linear Decoding of Brain State. IEEE Signal Proc Magazine, 25(1): 107-115, 2008. pdf

Literature - Specific BBCI Research

Approach of Co-adaptive Calibration

• Vidaurre C, Sannelli C, Müller KR, Blankertz B, Machine-Learning Based Co-adaptive Calibration, Neural Comput, in press pdf.

Mental Typewriter Hex-o-Spell

• Williamson J, Murray-Smith R, Blankertz B, Krauledat M, Müller KR, Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces. Int J Hum Comput Stud, 67(10):827-841, 2009 pdf

Spatial Auditory Speller

• Schreuder M, Blankertz B, Tangermann M, A New Auditory Multi-class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue, PLoS ONE, 5(4):e9813, 2010 link.

Matrix Speller and the Role of Eye Gaze

• Treder MS, Blankertz B, (C)overt attention and visual speller design in an ERP-based brain-computer interface, Behav Brain Funct, 6:28, 2010 link.

Visual ERP-Speller Independent from Gaze

• Treder MS, Schmidt NM, Blankertz B, Gaze-independent high-accuracy brain-computer interfaces based on covert attention and feature attention, submitted manuscript: pdf.

Literature - BBCI Approaches

Operant Conditioning of Slow Cortical Potentials (SCPs)

• Kübler A, Kotchoubey B, Hinterberger T, Ghanayim N, Perelmouter J, Schauer M, Fritsch C, Taub E, Birbaumer N. The thought translation device: a neurophysiological approach to communication in total motor paralysis. Exp Brain Res 124(2):223-32, 1999 pdf.

Steady State Visual Evoked Potentials

• Original Publication: Vidal JJ. Toward direct brain-computer communication. Annu Rev Biophys, 2:157-180, 1973. pdf

• The Chinese Champions: Cheng M, Gao X, Gao S, Xu D. Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng 2002 Oct;49(10):1181-6 pdf.

• Independent of Eye Gaze (1): Allison BZ, McFarland DJ, Schalk G, Zheng SD, Jackson MM, Wolpaw JR. Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol 119(2):399-408, 2008.

• Independent of Eye Gaze (2): Zhang D, Maye A, Gao X, Hong B, Engel AK, Gao S. An independent brain-computer interface using covert non-spatial visual selective attention. J Neural Eng 2010 Feb;7(1):16010 pdf.

Matrix Speller (ERP-based)

• Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol, 70:510-523, 1988 pdf.

Modulation of Sensorimotor Rythms (SMRs)

• Motor Imagery: Guger C, Ramoser H, Pfurtscheller G. Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). IEEE Trans Rehabil Eng 2000 Dec;8(4):447-56 pdf.

• Motor Imagery & Operant Learning: Wolpaw JR, McFarland DJ, Vaughan TM. Brain-computer interface research at the Wadsworth Center. IEEE Trans Rehab Eng, 8(2):222-226, 2000 pdf.

• 2D Cursor Control: Wolpaw JR, McFarland DJ. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc Natl Acad Sci USA, 101(51):17849-17854, 2004. pdf
  Note: 2D BCI control was already achieved in 1994, see Electroencephalogr Clin Neurophysiol. 1994 abstract.

BBCI Projects

• BCI I-III: [w/Charite]

• AUGCOG: [w/Charite, Daimler] Quantification of 'mental workload' during (real!) car driving on a highway. One possible application is the usage in the development of novel car features: In test drivers, it may be verified that devices, like navigation systems, do not increase the mental workload during driving. For more details, see pdf

• FaSor: [w/Charite, Daimler, Brain Products]

• Vital-BCI: [w/U Würzburg] Establish motor-imagery-based BCI control for all!

• brain@work: [w/Charite, Siemens, Daimler] Industrial applications of BCI technology.

• TOBI: [w/several european partners] BCI application areas for patients: Communication, Motor Substitution, Entertainment, Rehabilitation

• BFNT-A1: [w/Charite]

• BFNT-A3: [w/Charite, T-Labs] "Neuro-Usability": Brain-based perceptual quality assessment (currently restricted to EEG and audio signals). Investigation in how far EEG signals can be used for assessing the quality of audio signals. The aim is then to use this as an objective measure of quality perception, complementing conventional behavioral tests by adding detection sensitivity, e.g. at the threshold of perception (subconscious processing).

• BFNT-B4: [w/BNIC,Charite]

BCI Groups

Graz

• General comments: the Graz BCI Lab is one of the leading labs in brain-computer communication. The so-called "Graz BCI" was one of the first online EEG-based BCIs introduced over 15 years ago. Various applications for this system, including spelling devices, computer games, functional electrical stimulation (FES), and navigation in virtual environments have been developed and tested in healthy users and several patient populations.
• Key Members:
• Gert Pfurtscheller, Professor Emeritus. Studied Electrical Engineering. He is the most famous ERD/ERS investigator. So far has authored more than 300 publications in peer-reviewed journals and published 4 books.
• Christa Neuper: Professor, director (successor of Pfurtscheller) Studied Psychology.
• Gernot R. Müller-Putz, Associate Professor. Studied Biomedical Engineering. His research interests include brain-computer communication systems, neuroprosthetic devices, assistive technology and the human somatosensory system.
• Post Docs: Brendan Z. Allison (Psych), Clemens Brunner (Inf?), Reinhold Scherer (Inf?), Selina Wriessnegger (Psych), Thorsten Zander (Psych)

• homepage: http://bci.tugraz.at/index.html

• paradigms: SMR (ERD/ERS, beta rebound for Motor Imagery), hybrid (EEG+NIRS, SMR+SSVEP), BetaRebound for Brain Switsch between SMR and SSVEP, navigation in virtual environments, FES, self-paced, neuroprosthesis, multi-class motor imagery.

• methods: CSP, LDA, Band power, Laplacian
• research focus: to be completed
• key publications: to be completed

• projects: Graz BCI Lab recently completed the EU projects Presenccia (2006-2009) and Eye-To-IT (2006-2009). It is currently involved in the EU projects TOBI (2008-2012), DECODER (2010-2012), BETTER (2010-2012), BrainAble (2010-2012), and Future BNCI (2010-2011).

Ecole Polytechnique Fédérale de Lausanne

• chair: Prof. José del R. Millán
• postdocs: Ricardo Chavarriaga, Robert Leeb, Tom Carlson, Sarah Degallier

• homepage: http://cnbi.epfl.ch/

• paradigms: to be completed
• methods: to be completed
• research focus: to be completed
• key publications: to be completed
• general comments: the Non-Invasive Brain-Machine Interface at the EPFL is responsible for coordinating the TOBI project

Fondazione Santa Lucia

• members: Febo Cincotti, Donatella Mattia, Fabio Aloise, Luigi Bianchi, Lucia Quitadamo, Angela Riccio, Annalisa Bononati, Floriana Pichiorri, Monica Risetti
• homepage: ---
• paradigms: P300, SSVEP, SMR
• methods: ---
• research focus: assistive robots, domotics, software, standardization
• key publication: Febo Cincotti, Lucia Rita Quitadamo, Fabio Aloise, Luigi Bianchi, Fabio Babiloni, Donatella Mattia: Interacting with the Environment through Non-invasive Brain-Computer Interfaces. HCI (6) 2009: 483-492

Singapore BCI lab

• key members: Cuntai Guan, Kai Keng Ang, Fabien Pierre Robert Lotte, Haihong Zhang

• homepage: http://nsp.i2r.a-star.edu.sg/

• paradigms: P300, MI
• methods: CSP, SVMs, NIRS-BCI

• research focus: methodology (CSP-extensions, NIRS-BCI, MI+ERP, asynchronous BCI) & application (e.g. Wheelchair, ADHS, epilepsy)!

• key publications: Ranganatha Sitaram (Neuroimage, 2007); Yuanqing Li (IEEE TBE, 2010); Fabien Lotte (IEEE TBE, 2010)
• general comments: quite a big BCI group focusing methodology and various applications of noninvasive BCI. Collaboration with the Tübingen group (NIRS-BCI). In the BCI field since about 2006.

BrainGain Consortium

Radboud Universiteit / FC Donders, Nijmegen

• key members: Peter Desain, Rebecca Schaeffer, Robert Oostenveld, Ole Jensen
• homepage:
• paradigms:
• methods: ---
• research focus:
• key publication:

Twente University

• key members: Anton Nijholt, Femke Nijboer
• homepage:
• paradigms:
• methods: ---
• research focus: Applied BCI, serious gaming
• key publication:

Utrecht University

• key members: Nick Ramsey, Dora Hermes
• homepage:
• paradigms: Invasive, ECoG
• methods: ---
• research focus:
• key publication:

Maastricht University

• key members: Rainer Goebel
• homepage:
• paradigms: fMRI
• methods: ---
• research focus:
• key publication:

TNO

• key members: Jan van Erp, Anne-Marie Brouwer, Marieke Thurlings

• homepage: http://www.tno.nl/content.cfm?context=kennis&content=techno&laag1=37&item_id=37

• paradigms: Mainly P300 and SSEP
• methods: ---
• research focus: Tactile interfaces. Applied BCI.
• key publication:

Analysis Techniques

To be added: Links to certain 'case analyses' of the toolbox documentation (which does not exist yet).