© 2017

Brain-Computer Interface Research

A State-of-the-Art Summary 6

  • Christoph Guger
  • Brendan Allison
  • Mikhail Lebedev


  • Summarizes prize-winning BCI innovations

  • Extends the categories of disabilities and patient groups that can benefit from BCI technologies.

  • Includes both cutting edge science and important medical advances


Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Christoph Guger, Brendan Z. Allison, Mikhail A. Lebedev
    Pages 1-8
  3. Gaurav Sharma, Nicholas Annetta, David A. Friedenberg, Marcia Bockbrader
    Pages 9-20
  4. Seung Woo Lee, Shelley I. Fried
    Pages 21-33
  5. Sharlene Flesher, John Downey, Jennifer Collinger, Stephen Foldes, Jeffrey Weiss, Elizabeth Tyler-Kabara et al.
    Pages 43-54
  6. Thomas J. Oxley, Nicholas L. Opie, Sam E. John, Gil S. Rind, Stephen M. Ronayne, Anthony N. Burkitt et al.
    Pages 55-63
  7. Yueming Wang, Minlong Lu, Zhaohui Wu, Xiaoxiang Zheng, Gang Pan
    Pages 65-78
  8. Matthias Schultze-Kraft, Mario Neumann, Martin Lundfall, Patrick Wagner, Daniel Birman, John-Dylan Haynes et al.
    Pages 79-90
  9. Christoph Guger, Damien Coyle, Donatella Mattia, Marzia De Lucia, Leigh Hochberg, Brian L. Edlow et al.
    Pages 105-125

About this book


This book presents compact and informative descriptions of the most promising new projects in brain-computer interface (BCI) research. As in earlier volumes in this series, the contributions come from many of the best-known groups in BCI research. Each of these chapters provides an overview of a project that was nominated for the most prestigious award in the BCI community: the Annual BCI Research Award. The book also contains an introduction and discussion with a review of major trends reflected in the awards. This volume also introduces a new type of contribution, namely a chapter"Trends in BCI Research" that summarizes a top trend in the BCI research community. This year's "Trends in BCI Research" addresses BCI technology to help patients with disorders of consciousness (DOC) and related conditions, including new work that goes beyond communication to diagnosis and even prediction.


BCI Prize 2016 BCI innovation award BCI Research Award Brain-computer Interface Brain-machine Interface Electroencephalography Neurofeedback training Neural bypass reconnection Motor intention prediction Brain monitoring during awake surgery

Editors and affiliations

  • Christoph Guger
    • 1
  • Brendan Allison
    • 2
  • Mikhail Lebedev
    • 3
  1. 1.g.tec Guger Technologies OGSchiedlbergAustria
  2. 2.g.tec Guger Technologies OGSchiedlbergAustria
  3. 3.Department of NeurobiologyDuke UniversityDurhamUSA

About the editors

Dr. Christoph Guger studied Biomedical Engineering at the University of Technology Graz and Johns Hopkins University in Baltimore, USA. He then carried out research work at the Department of Medical Informatics (Prof. Pfurtscheller) at the University of Technology Graz and received his PhD in 1999. He co-founded G.TEC 1999, and has worked there ever since.

Dr. Brendan Allison studied Cognitive Science at the University of California in San Diego (Prof. Pineda) and received his PhD in 2003. He then worked as a postdoc or senior postdoc for several top experts, including Profs. Polich, Wolpaw, Pfurtscheller, and Neuper. He has been active in BCI research for about 20 years, with an h-index of 31.

Dr. Mikhail A. Lebedev is a senior research scientist at Duke University. He received a MSc from the Moscow Institute of Physics and Technology, Moscow in 1986 and a Ph.D. from the University of Tennessee, Memphis in 1995. He worked at the Institute for the Problems of Information Transm

ission, Moscow, (1986–1991), the International School for Advanced Studies, Trieste (1995–1997) and the National Institute of Mental Health (1997–2002). His main scientific interests are neurophysiology and brain–machine interfaces.

Bibliographic information