Brain-Computer Interface Research

1. Front Matter

   Pages i-vi

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2. Introduction

   • Christoph Guger, Brendan Z. Allison, Mikhail A. Lebedev

   Pages 1-8

3. Advances in BCI: A Neural Bypass Technology to Reconnect the Brain to the Body

   • Gaurav Sharma, Nicholas Annetta, David A. Friedenberg, Marcia Bockbrader

   Pages 9-20

4. Precise and Reliable Activation of Cortex with Micro-coils

   • Seung Woo Lee, Shelley I. Fried

   Pages 21-33

5. Re(con)volution: Accurate Response Prediction for Broad-Band Evoked Potentials-Based Brain Computer Interfaces

   • J. Thielen, P. Marsman, J. Farquhar, P. Desain

   Pages 35-42

6. Intracortical Microstimulation as a Feedback Source for Brain-Computer Interface Users

   • Sharlene Flesher, John Downey, Jennifer Collinger, Stephen Foldes, Jeffrey Weiss, Elizabeth Tyler-Kabara et al.

   Pages 43-54

7. A Minimally Invasive Endovascular Stent-Electrode Array for Chronic Recordings of Cortical Neural Activity

   • Thomas J. Oxley, Nicholas L. Opie, Sam E. John, Gil S. Rind, Stephen M. Ronayne, Anthony N. Burkitt et al.

   Pages 55-63

8. Visual Cue-Guided Rat Cyborg

   • Yueming Wang, Minlong Lu, Zhaohui Wu, Xiaoxiang Zheng, Gang Pan

   Pages 65-78

9. Predicting Motor Intentions with Closed-Loop Brain-Computer Interfaces

   • Matthias Schultze-Kraft, Mario Neumann, Martin Lundfall, Patrick Wagner, Daniel Birman, John-Dylan Haynes et al.

   Pages 79-90

10. Towards Online Functional Brain Mapping and Monitoring During Awake Craniotomy Surgery Using ECoG-Based Brain-Surgeon Interface (BSI)

    • L. Yao, T. Xie, Z. Wu, X. Sheng, D. Zhang, N. Jiang et al.

    Pages 91-96

11. A Sixteen-Command and 40 Hz Carrier Frequency Code-Modulated Visual Evoked Potential BCI

    • Daiki Aminaka, Tomasz M. Rutkowski

    Pages 97-104

12. Trends in BCI Research I: Brain-Computer Interfaces for Assessment of Patients with Locked-in Syndrome or Disorders of Consciousness

    • Christoph Guger, Damien Coyle, Donatella Mattia, Marzia De Lucia, Leigh Hochberg, Brian L. Edlow et al.

    Pages 105-125

13. Recent Advances in Brain-Computer Interface Research—A Summary of the BCI Award 2016 and BCI Research Trends

    • Christoph Guger, Brendan Z. Allison, Mikhail A. Lebedev

    Pages 127-134

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

• g.tec Guger Technologies OG, Schiedlberg, Austria

  Christoph Guger, Brendan Allison

• Department of Neurobiology, Duke University, Durham, USA

  Mikhail Lebedev

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.

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