#Winner "Winner"

The Winners of 2019
 

1st Place

 

Sergey D. Stavisky1, Francis R. Willett1, Paymon Rezaii1, Leigh R. Hochberg2, Krishna V. Shenoy1,3, Jaimie M. Henderson1

Decoding speech from intracortical multielectrode arrays in dorsal motor cortex

1 Stanford University, USA.
2 Brown University, Harvard Medical School, Massachusetts General Hospital, Providence VA Medical Center, USA.
3 Howard Hughes Medical Institute, USA.

2nd Place

 

Junjie Bu1, Kymberly D. Young2, Wei Hong1, Ru Ma1, Hongwen Song5, Ying Wang1, Wei Zhang1,
Michelle Hampson
3, Talma Hendler4, Xiaochu Zhang1,5

BCI-based neurofeedback training for quitting smoking

1 Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.
2 Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
3 Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
4 Functional Brain Center, Tel-Aviv University, Tel-Aviv, Israel.
5 School of Humanities & Social Science, University of Science & Technology of China, Hefei, China.

3rd Place

 

Yuxiao Yang1, Omid G. Sani1, Morgan B. Lee2,3,4, Heather E. Dawes2,3,4, Edward F. Chang2,3,4, Maryam M. Shanechi1,5

Developing a closed-loop brain-computer interface for treatment of neuropsychiatric disorders using electrical brain stimulation

1 Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, USA.
2 Department of Neurological Surgery, University of California, USA.
3 Weill Institute for Neuroscience, University of California, San Francisco, USA.
4 Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, USA.
5 Neuroscience Graduate Program, University of Southern California, USA.

#Interview "Interview"

Decoding speech from intracortical multielectrode arrays in dorsal motor cortex

 

 

Showing that we can decode speech-related activity from implanted electrode arrays is a first step towards building BCIs to restore speech.

 

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Sergey D. Stavisky, PhD

Read the interview with the 1st place winner of the BCI Award 2019 about decoding speech.

 

#Nominees "Nominees"

The Nominees for 2019


This year, top-level research projects were submitted from all over the world.
The jury, chaired by Michael Tangermann, carefully scored 12 nominated projects:


 

Junjie Bu1, Kymberly D. Young2, Wei Hong1, Ru Ma1, Hongwen Song5, Ying Wang1, Wei Zhang1,
Michelle Hampson
3, Talma Hendler4, Xiaochu Zhang1,5

BCI-based neurofeedback training for quitting smoking

1 Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of
Science & Technology of China, Hefei, China
.
2 Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, USA.
3 Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
4 Functional Brain Center, Tel-Aviv University, Tel-Aviv, Israel.
5 School of Humanities & Social Science, University of Science & Technology of China, Hefei, China.


Sergey D. Stavisky1, Francis R. Willett1, Paymon Rezaii1, Leigh R. Hochberg2, Krishna V. Shenoy1,3, Jaimie M. Henderson1

Decoding speech from intracortical multielectrode arrays in dorsal motor cortex

1 Stanford University, USA.
2 Brown University, Harvard Medical School, Massachusetts General Hospital, Providence VA Medical Center, USA.
3 Howard Hughes Medical Institute, USA.


Masaaki Hayashi1, Nobuaki Mizuguchi2,3, Shohei Tsuchimoto1,2, Shoko Kasuga1,4,5, Junichi Ushiba3,4

Neurofeedback of scalp EEG sensorimotor rhythm guides hemispheric activation of sensorimotor cortex

1 School of Fundamental Science and Technology, Graduate School of Keio University, Kanagawa, Japan.
2 The Japan Society for the Promotion of Science, Tokyo, Japan.
3 Department of Biosciences and informatics, Faculty of Science and Technology, Keio University, Kanagawa, Japan.
4 Keio Institute of Pure and Applied Sciences, Kanagawa, Japan.
5 Centre for Neuroscience Studies, Queen’s University, Ontario, Canada


Yuxiao Yang1, Omid G. Sani1, Morgan B. Lee2,3,4, Heather E. Dawes2,3,4, Edward F. Chang2,3,4, Maryam M. Shanechi1,5

Developing a closed-loop brain-computer interface for treatment of neuropsychiatric disorders using electrical brain stimulation

1 Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, USA.
2 Department of Neurological Surgery, University of California, USA.
3 Weill Institute for Neuroscience, University of California, San Francisco, USA.
4 Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, USA.
5 Neuroscience Graduate Program, University of Southern California, USA.


 

Peter Yoo, Nicholas Opie, Thomas Oxley, Stephen Ronayne, Gil Rind, Amos Meltzer

StentrodeTM Neural Interface System: Minimally-invasive Brain-Computer Interface designed for everyday use

Synchron Inc., Australia.


Ben Somers, Damien Lesenfants, Jonas Vanthornhout, Lien Decruy, Eline
Verschueren
, Tom Francart

Interfacing hearing implants with the brain: closing the loop with intracochlear brain recordings

KU Leuven - University of Leuven, Department of Neurosciences, ExpORL, Leuven, Belgium.


Tomislav Milekovic1,2, Flavio Raschellà3, Matthew G. Perich2, Shiqi Sun1,4, Eduardo Martin Moraud6,7, Giuseppe Schiavone5, Yang Jianzhong8,9, Andrea Galvez2, Christopher Hitz1, Alessio Salomon1, David Borton1,10, Jean Laurens1,11, Isabelle Vollenweider1, Simon Borgognon1, Jean-Baptiste Mignardot1, Wai Kin D Ko8,9, Cheng YunLong8,9, Li Hao8,9, Peng Hao8,9, Qin Li8,9, Marco Capogrosso12, Tim Denison13, Stéphanie P. Lacour5, Silvestro Micera3,14, Chuan Qin9, Jocelyne Bloch6,7, Erwan Bezard8,10,15,16, Grégoire Courtine1,6,7

A brain–spine interface alleviating gait deficits in a primate model of Parkinson’s disease

1 Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, EPFL, Switzerland.
2 Department of Fundamental Neuroscience, Faculty of
Medicine, University of Geneva, Switzerland.

3 Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, EPFL, Switzerland.
4 Beijing Engineering Research Center for Intelligent Rehabilitation, College of Engineering, Peking University, People's Republic of China.
5 Center for Neuroprosthetics, Institute of Microengineering and Institute of Bioengineering, School of Engineering, EPFL, Switzerland.
6 Department of Clinical Neuroscience, Lausanne University Hospital (CHUV) and University of Lausanne, Switzerland.
7 Department of Neurosurgery, CHUV, Switzerland.
8 Motac Neuroscience, United Kingdom.
9 Institute of Laboratory Animal Sciences, China Academy of Medical Sciences, People's Republic of China.
10 Carney Institute for Brain Science, School of Engineering, Brown University, USA.
11 Department of Neuroscience, Baylor College of Medicine, USA.
12 Translational Neuroscience platform, University of Fribourg, Switzerland;

13 Oxford University, United Kingdom.
14 The BioRobotics Institute, Scuola Superiore Sant'Anna,
Italy.

15 Université de Bordeaux, Institut des Maladies Neurodégénératives (IMN), France.
16 CNRS, IMN, France.


 

Frolov Alexander1,2, Biryukova Elena1,2, Bobrov Pavel1,2, Bobrov Dmirty1, Lekin Alexander1, Mokienko Olesya3, Lyukmanov Roman3, Kotov Sergey4, Kondur Anna4, Ivanova Galina1, Bushkova Yulia1

Post-stroke rehabilitation training with a motor-imagery-based brain-computer interface (BCI)-controlled hand exoskeleton: a randomized controlled multicenter trial

1 Pirogov Russian National Research Medical University, Russia.
2 Institute of Higher Nervous Activity, Russia.
3 Research Centre of Neurology, Russia.
4 Vladimirsky Moscow Regional Research Clinical Institute, Russia.


Solaiman Shokur, Debora S. F. Campos, A. R. C. Donati, Eduardo J. L. Alho, Mikhail
Lebedev,
Miguel Nicolelis

The Walk Again Neurorehabilitation Protocol: a BMI-based clinical application to induce partial neurological recovery in spinal cord injury patients 

Neurorehabilitation laboratory AASDAP.


M.Yarici, H.J. Davies, T. Nakamura, I. Williams and D.P. Mandic
Hearables: In-Ear Multimodal Brain Computer Interfacing

Imperial College London.


Tianxiao Jiang1, Priscella Asman1, Giuseppe Pellizzer2, Sudhakar Tummala3, Sujit Prabhu3 and Nuri F. Ince1

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate with TimeDerivative of Force During Sustained Hand Grasp

1 University of Houston, USA.
2 University of Minnesota, USA.
3 MDAnderson Cancer Center, USA.


Farah L. Laiwalla1, Vincent W. Leung2, Jihun Lee1, Patrick Mercier2, Peter Asbeck2, Ramesh Rao2, Lawrence Larson1, Arto Nurmikko1

Next-Generation Microscale Wireless Implant System for High-Density, Multi-Areal Closed-loop Brain Computer Interfaces

1 Brown University, USA.
2 University of California San Diego, USA.


 

#Interview "Interview"

BCI-based neurofeedback training for quitting smoking

 

 

We hope that our neurofeedback could help the patients reduce the symptoms of addiction and change their life. 

 

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Junjie Bu, PhD

Read the interview with the 2nd place winner of the BCI Award 2019 about BCI-based neurofeedback training that reduces cigarette craving in order to quit smoking.

 

#Jury "Jury"

The Jury of 2019
 

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Michael Tangermann (DE)

Chair 2019
Albert-Ludwigs-University Freiburg
Brain State Decoding Lab

 

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Abidemi Bolu Ajiboye (US)

Winner 2018
Case Western Reserve University Ohio

 

 

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Rossella Spataro (IT)

University of Palermo

 

 

 

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Michael Smith (US)

University of California, Berkeley
 

 

 

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Keiichi Kitajo (JP)

RIKEN Center for Brain Science
National Institute for Physiological Sciences

 

 

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Selina Wriessnegger (AT)

Graz University of Technology
Institute of Neural Engineering

 

 

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#Ceremony "Ceremony"

The 2019 BCI Award Ceremony

 

… took place on September 17th, 2019 at the
8th Graz Brain-Computer Interface Conference 2019.

Graz University of Technology, Austria
Stremayrgasse 16, 8020 Graz, Austria

 

 

Awarded by
 

  


Sponsored by

 

#Interview "Interview"

Developing a closed-loop brain-computer interface for treatment of neuropsychiatric disorders using electrical brain stimulation

 

 

We envision that in the future, our BCI can provide a precisely-tailored alternative therapy for treatment-resistant major depression.

 

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Read the interview with the 3rd place winners of the BCI Award 2019 about their closed-loop BCI to treat patients with neuropsychiatric disorders. 

 

Photocredit: Johannes Gellner (AT)