This book showcases recent trends in brain-computer interface development. It highlights fascinating results in areas such as language decoding, spinal cord stimulation to enable gait and to restore hand functions. The contributions are based on the 12 nominated brain-computer interface projects of the BCI Award 2022. Every year an international jury selects the most innovate BCI projects and nominates 12 projects before selecting the 1st, 2nd and 3rd place winners. In the book, each project is described in detail by the team of scientists behind it, and the editors provide a concluding discussion of the highlights and overall progress in the field.

Autorentext

Christoph Guger studied electrical and biomedical engineering at the University of Technology Graz in Austria and Johns Hopkins University in the USA and received his PhD in 1999. In 1999 he started the company g.tec which was now branches in Austria, Spain, the USA, Canada and Hong Kong. g.tec produces high-quality neurotechnology and real-time brain computer interfaces for the research, medical and consumer markets. The company is active in many international research projects about brain-computer interfacing, neuromodulation, stroke rehabilitation, assessment and communication with patients with disorders of consciousness and high-gamma mapping in epilepsy and tumor patients.

Dr. Allison has been active in EEG research for over 20 years, most of which involved brain-computer interface (BCI) systems. He earned his PhD in Cognitive Science in 2003 at UC San Diego, where he focused on BCIs based on visual attention (primarily P300) and imagined movement. He has since worked with several top researchers and institutes, including Prof. Wolpaw at the New York State Dept of Health, Prof. Polich at The Scripps Research Institute, and Profs. Pfurtscheller and Neuper at Graz University of Technology. He returned to his alma mater and is again with the Cognitive Science Dept. at UCSD. He is a Founding Board Member of the BCI Society and editor of the BCI Journal. Dr. Allison's recent work involves extending BCI technology to help new groups. This includes persons seeking motor rehabilitation after a stroke and persons with disorders of consciousness (DOC).

Tomasz M. Rutkowski holds a Master of Science in Electronics and a Ph.D. in Telecommunications and Acoustics from Wroclaw University of Technology, Poland. He has worked as a research scientist at RIKEN Brain Science Institute, Japan, and has held various academic positions in Japan at Kyoto University, University of Tsukuba, The University of Tokyo, and currently at RIKEN AIP,as well as in Poland at Nicolaus Copernicus University. His research interests include computational neuroscience, brain-computer interfacing, and AI applications for dementia biomarkers. In recognition of his work, Tomasz won The BCI Annual Research Award in 2014 and was nominated for the award in 2016. He also serves as a jury member for the Maria Sklodowska-Curie Prize for Young Female Scientists in Japan.

Dr. Milena Korostenskaja, Ph.D., is a neuroscientist who specializes in the clinical applications of Brain-Computer Interfaces (BCIs). This includes functional mapping for epilepsy surgery and motor rehabilitation post-stroke. She has contributed to over 50 peer-reviewed publications and has given more than 90 talks at various scientific venues. Dr. Korostenskaja also teaches neuroscience-related courses to both graduate and undergraduate students, including a course on adaptive neurotechnologies and brain-computer interfaces (BCIs). She is the founder of "The Institute ofNeuroapproaches", where she offers career coaching and education to help people build successful careers in neuroscience and neurotechnologies. Additionally, Dr. Korostenskaja hosts the "Neurocareers: Doing the Impossible!" podcast, which aims to inspire and support people in exploring careers in neuroscience and neurotechnologies. She is also an official host of a special "BCI Award Neurocareers podcast series" featuring nominees and winners of the International BCI Award.