Brain-machine interfaces for space applications-research, technological development, and opportunities.

Recent advances in brain research and brain-machine interfaces suggest these devices could play a central role in future generation computer interfaces. Successes in the use of brain machine interfaces for patients affected by motor paralysis, as well as first developments of games and gadgets based on this technology have matured the field and brought brain-machine interfaces to the brink of more general usability and eventually of opening new markets. In human space flight, astronauts are the most precious "payload" and astronaut time is extremely valuable. Astronauts operate under difficult and unusual conditions since the absence of gravity renders some of the very simple tasks tedious and cumbersome. Therefore, computer interfaces are generally designed for safety and functionality. All improvements and technical aids to enhance their functionality and efficiency, while not compromising safety or overall mass requirements, are therefore of great interest. Brain machine interfaces show some interesting properties in this respect. It is however not obvious that devices developed for functioning on-ground can be used as hands-free interfaces for astronauts. This chapter intends to highlight the research directions of brain machine interfaces with the perceived highest potential impact on future space applications, and to present an overview of the long-term plans with respect to human space flight. We conclude by suggesting research and development steps considered necessary to include brain-machine interface technology in future architectures for human space flight.

[1]  J. Gordon,et al.  Impairments of reaching movements in patients without proprioception. I. Spatial errors. , 1995, Journal of neurophysiology.

[2]  Philippe Kahane,et al.  Watching brain TV and playing brain ball exploring novel BCI strategies using real-time analysis of human intracranial data. , 2009, International review of neurobiology.

[3]  Philippe Kahane,et al.  Invasive EEG in the definition of the seizure onset zone: depth electrodes , 2003 .

[4]  Luca Citi,et al.  Defining brain–machine interface applications by matching interface performance with device requirements , 2008, Journal of Neuroscience Methods.

[5]  Jonathan R Wolpaw,et al.  Brain–computer interfaces as new brain output pathways , 2007, The Journal of physiology.

[6]  Paolo Maria Rossini,et al.  Implications of brain plasticity to brain-machine interfaces operation a potential paradox? , 2009, International review of neurobiology.

[7]  N. Birbaumer,et al.  Conscious perception of brain states: mental strategies for brain–computer communication , 2003, Neuropsychologia.

[8]  J. Donoghue,et al.  Primary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia , 2008, The Journal of Neuroscience.

[9]  P. Kennedy,et al.  Restoration of neural output from a paralyzed patient by a direct brain connection , 1998, Neuroreport.

[10]  A. Schwartz,et al.  Useful signals from motor cortex , 2005, The Journal of physiology.

[11]  Shamim Nemati,et al.  Biomimetic Brain Machine Interfaces for the Control of Movement , 2007, The Journal of Neuroscience.

[12]  Niels Birbaumer,et al.  Neurofeedback and brain-computer interface clinical applications. , 2009, International review of neurobiology.

[13]  D Mattia,et al.  On the use of brain-computer interfaces outside scientific laboratories toward an application in domotic environments. , 2009, International review of neurobiology.

[14]  S. Meagher.  Instant neural control of a movement signal , 2002 .

[15]  Andrew S. Whitford,et al.  Cortical control of a prosthetic arm for self-feeding , 2008, Nature.

[16]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[17]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.

[18]  F. Mauguière,et al.  Handbook of clinical neurophysiology , 2003 .

[19]  Dean J Krusienski,et al.  Brain-computer interface research at the wadsworth center developments in noninvasive communication and control. , 2009, International review of neurobiology.

[20]  Tobias Seidl,et al.  Validation of brain-machine interfaces during parabolic flight. , 2009, International review of neurobiology.

[21]  Luca Citi,et al.  Matching brain-machine interface performance to space applications. , 2009, International review of neurobiology.

[22]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[23]  Reinhold Scherer,et al.  Flexibility and practicality graz brain-computer interface approach. , 2009, International review of neurobiology.

[24]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces to restore motor function and probe neural circuits , 2003, Nature Reviews Neuroscience.

[25]  E. Fetz.  Volitional control of neural activity: implications for brain–computer interfaces , 2007, The Journal of physiology.

[26]  A Bengoetxea,et al.  Adaptive changes of rhythmic EEG oscillations in space implications for brain-machine interface applications. , 2009, International review of neurobiology.

[27]  P. Creola.  Has space a future , 1995 .

[28]  Luca Citi,et al.  Prospects of brain-machine interfaces for space system control , 2006 .

[29]  Dario Izzo,et al.  Beyond astronaut ’ s capabilities : a critical review , 2007 .

[30]  Dawn M. Taylor,et al.  Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.

[31]  Géraldine Naja-Corbin.  SPACE 2030-RESEARCH TRENDS AS INPUT FOR LONG-TERM PLANNING , 2008 .