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Beyond the state of the art, towards intuitive and reliable non-visual Brain-Computer-Interfacing
(2016)
For the present work three main goals were formulated:
goal 1 To design a tactile BCI used for mobility which is
intuitive (G1.1), reliable and fast while being usable
by participants aged 50 years and above.
goal 2 To design an auditory BCI used for communication
which is intuitive and reliable.
goal 3 To examine the effects of training on tactile and
auditory BCI performance.
Three studies were performed to achieve these goals.
In the first study nine participants aged above 50 years
performed a five-session training after which eight participants
were able to navigate a virtual wheelchair with
mean accuracy above 95% and an ITR above 20 bits / min.
In the second study 15 participants, four of them endusers
with motor-impairment, were able to communicate
meaningful with high accuracies using an auditory BCI.
In the third study nine healthy and nine visually impaired
participants (regarded as sensory experts for non-visual
perception) performed tactile, auditory and visual (for
healthy participants only) copy tasks. Participants with
trained perception significantly outperformed control
participants for tactile but not for auditory performance.
Tactile performance of sensory experts was on equal levels
as the visual performance of control participants.
We were able to demonstrate viability of intuitive gazeindependent
tactile and auditory BCI. Our tactile BCI performed
on levels similar to those of visual BCI, outperforming
current tactile BCI protocols. Furthermore, we were
able to demonstrate significant beneficial effect of training
on tactile BCI performance. Our results demonstrate previously
untapped potential for tactile BCI and avenues for
future research in the field of gaze-independent BCI.
In dieser Dissertation untersuchten wir die neuronalen Korrelate des Training-Effektes einer auditorischen P300 Gehirn-Computer Schnittstelle mittels fMRI Analyse in einem prä-post Design mit zehn gesunden Testpersonen. Wir wiesen in drei Trainings-sitzungen einen Trainingseffekt in der EEG-Analyse der P300 Welle nach und fanden entsprechende Kontraste in einer prä-post Analyse von fMRI Daten, wobei in allen fünf Sitzungen das gleiche Paradigma verwendet wurde. In der fMRI Analyse fanden wir fol-gende Ergebnisse: in einem Target-/ Nichttarget Kontrast zeigte sich verstärkte Aktivie-rung in Generatorregionen der P300 Welle (temporale und inferiore frontale Regionen) und interessanterweise auch in motorassoziierten Arealen, was höhere kognitiver Pro-zesse wie Aufmerksamkeitslenkung und Arbeitsspeicher widerspiegeln könnte. Der Kon-trast des Trainingseffektes zeigte nach dem Training einen stärkeren Rebound Effekt im Sinne einer verstärkten Aktivierung in Generatorregionen der P300 Welle, was eine ver-besserte Erkennung und Prozessierung von Target-Stimuli reflektieren könnte. Eine Ab-nahme von Aktivierung in frontalen Arealen in diesem Kontrast könnte durch effizientere Abläufe kognitiver Prozesse und des Arbeitsgedächtnis erklärt werden.