Background - Brain-Computer Interfaces (BCI) enable their users to interact and communicate with the environment without requiring intact muscle control. To this end, brain activity is directly measured, digitized and interpreted by the computer. Thus, BCIs may be a valuable tool to assist severely or even completely paralysed patients. Many BCIs, however, rely on neurophysiological potentials evoked by visual stimulation, which can result in usability issues among patients with impaired vision or gaze control. Because of this, several non-visual BCI paradigms have been developed. Most notably, a recent study revealed promising results from a tactile BCI for wheelchair control. In this multi-session approach, healthy participants used the BCI to navigate a simulated wheelchair through a virtual apartment, which revealed not only that the BCI could be operated highly efficiently, but also that it could be trained over five sessions. The present thesis continues the research on this paradigm in order to - confirm its previously reported high performance levels and trainability - reveal the underlying factors responsible for observed performance increases - establish its feasibility among potential impaired end-users Methods - To approach these goals, three studies were conducted with both healthy participants and patients with amyotrophic lateral sclerosis (ALS). Brain activity during BCI operation was recorded via electroencephalography (EEG) and interpreted using a machine learning-based linear classifier. Wheelchair navigation was executed according to the classification results and visualized on a monitor. For offline statistical analysis, neurophysiological features were extracted from EEG data. Subjective data on usability were collected from all participants. Two specialized experiments were conducted to identify factors for training. Results and Discussion - Healthy participants: Results revealed positive effects of training on BCI performances and their underlying neurophysiological potentials. The paradigm was confirmed to be feasible and (for a non-visual BCI) highly efficient for most participants. However, some had to be excluded from analysis of the training effects because they could not achieve meaningful BCI control. Increased somatosensory sensitivity was identified as a possible mediator for training-related performance improvements. Participants with ALS: Out of seven patients with various stages of ALS, five could operate the BCI with accuracies significantly above chance level. Another ALS patient in a state of near-complete paralysis trained with the BCI for several months. Although no effects of training were observed, he was consistently able to operate the system above chance level. Subjective data regarding workload, satisfaction and other parameters were reported. Significance - The tactile BCI was evaluated on the example of wheelchair control. In the future, it could help impaired patients to regain some lost mobility and self-sufficiency. Further, it has the potential to be adapted to other purposes, including communication. Once visual BCIs and other assistive technologies fail for patients with (progressive) motor impairments, vision-independent paradigms such as the tactile BCI may be among the last remaining alternatives to interact with the environment. The present thesis has strongly confirmed the general feasibility of the tactile paradigm for healthy participants and provides first clues about the underlying factors of training. More importantly, the BCI was established among potential end-users with ALS, providing essential external validity.

The impact of acquired severe motor impairments is pervasive and may lead to a complete loss of communication and voluntary motor control, rendering the patient behaviourally unresponsive. In routine clinical care it may thus be unclear, whether some of these patients are even conscious. Given that finding a cure is unlikely, care focuses on providing the best possible quality of life (QoL), and knowing its predictors might contribute to that aim. Patients who still can communicate often report a high QoL, and several predictors have been identified. However, many instruments used to assess QoL require at least residual verbal and motor abilities. Thus, a method to assess QoL independent of these requirements is desirable. In addition, many instruments assume QoL to be temporarily stable, and little information is available on predictors of instantaneous QoL, i.e. QoL as it fluctuates from moment to moment throughout the day.

Brain-computer interfaces (BCIs) are devices that translate signals from the brain into control commands for applications. Within the last twenty years, BCI applications have been developed for communication, environmental control, entertainment, and substitution of motor functions. Since BCIs provide muscle independent communication and control of the environment by circumventing motor pathways, they are considered as assistive technologies for persons with neurological and neurodegenerative diseases leading to motor paralysis, such as amyotrophic lateral sclerosis (ALS), muscular dystrophy, spinal muscular atrophy and stroke (Kübler, Kotchoubey, Kaiser, Wolpaw, & Birbaumer, 2001). Although most researcher mention persons with severe motor impairment as target group for their BCI systems, most studies include healthy participants and studies including potential BCI end-users are sparse. Thus, there is a substantial lack of studies that investigate whether results obtained in healthy participants can be transferred to patients with neurodegenerative diseases. This clearly shows that BCI research faces a translational gap between intense BCI research and bringing BCI applications to end-users outside the lab (Kübler, Mattia, Rupp, & Tangermann, 2013). Translational studies are needed that investigate whether BCIs can be successfully used by severely disabled end-users and whether those end-users would accept BCIs as assistive devices. Another obvious discrepancy exists between a plethora of short-term studies and a sparse number of long-term studies. BCI research thus also faces a reliability gap (Kübler, Mattia, et al., 2013). Most studies present only one BCI session, however the few studies that include several testing sessions indicate high inter- and intra-individual variance in the end-users’ performance due to non-stationarity of signals. Long-term studies, however, are needed to demonstrate whether a BCI can be reliably used as assistive device over a longer period of time in the daily-life of a person. Therefore there is also a great need for reliability studies. The purpose of the present thesis was to address these research gaps and to bring BCIs closer to end-users in need, especially into their daily-lives, following a user-centred design (UCD). The UCD was suggested as theoretical framework for bringing BCIs to end-users by Kübler and colleagues (Kübler et al., 2014; Zickler et al., 2011). This approach aims at the close and iterative interaction between BCI developers and end-users with the final goal to develop BCI systems that are accepted as assistive devices by end-users. The UCD focuses on usability, that is, how well a BCI technology matches the purpose and meets the needs and requirements of the targeted end-users and was standardized with the ISO 9241-210. Within the UCD framework, usability of a device can be defined with regard to its effectiveness, efficiency and satisfaction. These aspects were operationalized by Kübler and colleagues to evaluate BCI-controlled applications. As suggested by Vaughan and colleagues, the number of BCI sessions, the total usage duration and the impact of the BCI on the life of the person can be considered as indicators of usefulness of the BCI in long-term daily-life use (Vaughan, Sellers, & Wolpaw, 2012). These definitions and metrics for usability and usefulness were applied for evaluating BCI applications as assistive devices in controlled settings and independent use. Three different BCI applications were tested and evaluated by in total N=10 end-users: In study 1 a motor-imagery (MI) based BCI for gaming was tested by four end-users with severe motor impairment. In study 2, a hybrid P300 event-related (ERP) based BCI for communication was tested by four severely motor restricted end-users with severe motor impairment. Study 1 and 2 are short-term studies conducted in a controlled-setting. In study 3 a P300-ERP BCI for creative expression was installed for long-term independent use at the homes of two end-users in the locked-in state. Both end-users are artists who had gradually lost the ability to paint after being diagnosed with ALS. Results reveal that BCI controlled devices are accepted as assistive devices. Main obstacles for daily-life use were the not very aesthetic design of the EEG-cap and electrodes (cap is eye-catching and looks medical), low comfort (cables disturb, immobility, electrodes press against head if lying on a head cushion), complicated and time-consuming adjustment, low efficiency and low effectiveness, and not very high reliability (many influencing factors). While effectiveness and efficiency in the MI based BCI were lower compared to applications using the P300-ERP as input channel, the MI controlled gaming application was nevertheless better accepted by the end-users and end-users would rather like to use it compared to the communication applications. Thus, malfunctioning and errors, low speed, and the EEG cap are rather tolerated in gaming applications, compared to communication devices. Since communication is essential for daily-life, it has to be fast and reliable. BCIs for communication, at the current state of the art, are not considered competitive with other assistive devices, if other devices, such as eye-gaze, are still an option. However BCIs might be an option when controlling an application for entertainment in daily-life, if communication is still available. Results demonstrate that BCI is adopted in daily-life if it matches the end-users needs and requirements. Brain Painting serves as best representative, as it matches the artists’ need for creative expression. Caveats such as uncomfortable cap, dependence on others for set-up, and experienced low control are tolerated and do not prevent BCI use on a daily basis. Also end-users in real need of means for communication, such as persons in the locked-in state with unreliable eye-movement or no means for independent communication, do accept obstacles of the BCI, as it is the last or only solution to communicate or control devices. Thus, these aspects are “no real obstacles” but rather “challenges” that do not prevent end-users to use the BCI in their daily-lives. For instance, one end-user, who uses a BCI in her daily-life, stated: “I don’t care about aesthetic design of EEG cap and electrodes nor amplifier”. Thus, the question is not which system is superior to the other, but which system is best for an individual user with specific symptoms, needs, requirements, existing assistive solutions, support by caregivers/family etc.; it is thereby a question of indication. These factors seem to be better “predictors” for adoption of a BCI in daily-life, than common usability criterions such as effectiveness or efficiency. The face valid measures of daily-life demonstrate that BCI-controlled applications can be used in daily-life for more than 3 years, with high satisfaction for the end-users, without experts being present and despite a decrease in the amplitude of the P300 signal. Brain Painting re-enabled both artists to be creatively active in their home environment and thus improved their feelings of happiness, usefulness, self-esteem, well-being, and consequently quality of life and supports social inclusion. This thesis suggests that BCIs are valuable tools for people in the locked-in state.

Für eine gesunde kindliche Entwicklung ist besonders in der frühen Kindheit guter Schlaf sehr wichtig. Gerade im Baby- und Kleinkindalter sind Schlafschwierigkeiten jedoch ein häufiges Phänomen. Vor allem Ein- und Durchschlafstörungen kommen vielfach vor, die nicht automatisch mit zunehmendem Alter eines Kindes remittieren. Sie können persistieren und zum Teil auch schwerwiegende Folgen für die kindliche Entwicklung haben. Nicht nur Hyperaktivität, Reizbarkeit und Aggressivität treten bei Kindern mit Schlafstörungen gehäuft auf, sondern auch Tagesmüdigkeit, Konzentrationsund Gedächtnisstörungen sowie kognitive Beeinträchtigungen können die Folge sein. Darüber hinaus können Depressionen, Angststörungen und Übergewicht langfristige Folgen von Schlafstörungen sein. Auch wirken sich die Schlafstörungen bei jungen Kindern negativ auf die Eltern aus. Daher ist es wichtig, Schlafprobleme im frühen Kindesalter zu erkennen, ernst zu nehmen und frühzeitig zu behandeln. Die vorliegende Arbeit besteht aus drei Teilen. Es wurden das elterliche Wissen über Schlaf im Kleinkindalter sowie eine Auswahl von Elternratgeberliteratur für kindliche Schlafprobleme untersucht. Ferner wurde das multimodale Elterntrainingsprogramm „Mini-KiSS“, ein Elterntraining für Kinder bis vier Jahren mit Schlafstörungen (Schlarb_2014), hinsichtlich seiner externen Validität betrachtet. Da Eltern diejenigen sind, die als erste mit den Schlafproblemen ihres Kindes konfrontiert sind, sollten sie kindliche Schlafstörungen als diese erkennen und auch einschätzen können, um ggf. weiterführende Maßnahme einzuleiten. Deshalb ist es wichtig, dass Eltern über den kindlichen Schlaf informiert sind. Um dieses elterliche Wissen über Schlaf von jungen Kindern zu erfassen, wurde ein Fragebogen entwickelt, in dem Anwendungs- und Faktenwissen über Schlaf im Baby- und Kleinkindalter erfragt wurden. Dieser wurde einer Online-Stichprobe (N = 1291) vorgelegt. Insgesamt verfügten die Eltern über ein gutes Wissen, sie beantworteten 65% der Fragen korrekt. Es zeigte sich jedoch ein Unterschied zwischen dem Anwendungswissen, wo die Eltern 72% korrekt beantworteten und dem Faktenwissen, wo die Eltern 61% der gestellten Fragen korrekt beantworteten. Allerdings wurden auch Unsicherheiten sowie Wissensdefizite deutlich, die noch genauer erfasst werden und denen künftig mit unverbindlichen Informations- und Beratungsangeboten begegnet werden sollte. Insbesondere bei den Interventionsmöglichkeiten zum Umgang mit einer Schlafproblematik im Kleinkindalter wurde ein Dissens deutlich, der sich auch in der nachfolgenden Analyse von Elternratgeberliteratur für Schlafschwierigkeiten widerspiegelte. Es wurden Literaturanalysen über Ratgeber für das Kindesalter einerseits und für das Baby- und Kleinkindalter andererseits durchgeführt. Dabei konnte gezeigt werden, dass die Autoren entweder eine Position zum lerntheoretischen Ansatz der graduierten Extinktion bezogen und diese Methode empfohlen oder das Co-Sleeping, also das gemeinsame Schlafen von Eltern und Kind in einem Bett, favorisierten. Zudem wurde in der vorliegenden Arbeit das multimodale Elterntraining Mini-KiSS bezüglich der externen Validität im Langzeitverlauf erfolgreich überprüft. Das Elterntraining richtet sich an Eltern von Kindern im Alter von sechs Monaten bis vier Jahren mit Schlafstörungen und findet in Form von sechs aufeinanderfolgenden Elternabenden statt. Durch das Training kam es zu signifikanten Verbesserungen des kindlichen und mütterlichen Schlafes, diese bis zur Ein-Jahres-Katamnese stabil. Auch weitere mit problematischem kindlichem Schlafverhalten assoziierte Parameter, wie das allgemeine kindliche Problemverhalten sowie die elterliche Gesamtbelastung, konnten nachhaltig reduziert werden. Im Rahmen der vorliegenden Arbeit konnte gezeigt werden, dass sich die Intervention sowohl auf das Kind als auch auf die Eltern positiv auswirkte, was auch anhand von objektiven Verfahren bestätigt werden konnte. Zusammengefasst leistet diese Arbeit somit mit der Befragung einer großen Online-Stichprobe zu frühkindlichem Schlaf, der literaturanalytischen Betrachtung ausgewählter Ratgeberliteratur sowie der erfolgreichen Prüfung der externen Validität des Mini-KiSS-Trainings einen wichtigen und richtungsweisenden Beitrag zur aktuellen Forschung im Bereich der nichtorganischen Schlafstörungen im Kleinkindalter.

Brain computer interfaces based on sensorimotor rhythms modulation (SMR-BCIs) allow people to emit commands to an interface by imagining right hand, left hand or feet movements. The neurophysiological activation associated with those specific mental imageries can be measured by electroencephalography and detected by machine learning algorithms. Improvements for SMR-BCI accuracy in the last 30 years seem to have reached a limit. The currrent main issue with SMR-BCIs is that between 15% to 30% cannot use the BCI, called the "BCI inefficiency" issue. Alternatively to hardware and software improvements, investigating the individual characteristics of the BCI users has became an interesting approach to overcome BCI inefficiency. In this dissertation, I reviewed existing literature concerning the individual sources of variation in SMR-BCI accuracy and identified generic individual characteristics. In the empirical investigation, attention and motor dexterity predictors for SMR-BCI performance were implemented into a trainings that would manipulate those predictors and lead to higher SMR-BCI accuracy. Those predictors were identified by Hammer et al. (2012) as the ability to concentrate (associated with relaxation levels) and "mean error duration" in a two-hand visuo-motor coordination task (VMC). Prior to a SMR-BCI session, a total of n=154 participants in two locations took part of 23 min sessions of either Jacobson’s Progressive Muscle Relaxation session (PMR), a VMC session, or a control group (CG). No effect of PMR or VMC manipulation was found, but the manipulation checks did not consistently confirm whether PMR had an effect of relaxation levels and VMC on "mean error duration". In this first study, correlations between relaxation levels or "mean error duration" and accuracy were found but not in both locations. A second study, involving n=39 participants intensified the training in four sessions on four consecutive days or either PMR, VMC or CG. The effect or manipulation was assessed for in terms of a causal relationship by using a PRE-POST study design. The manipulation checks of this second study validated the positive effect of training on both relaxation and "mean error duration". But the manipulation did not yield a specific effect on BCI accuracy. The predictors were not found again, displaying the instability of relaxation levels and "mean error duration" in being associated with BCI performance. An effect of time on BCI accuracy was found, and a correlation between State Mindfulness Scale and accuracy were reported. Results indicated that a short training of PMR or VMC were insufficient in increasing SMR-BCI accuracy. This study contrasted with studies succeeding in increasing SMR-BCI accuracy Tan et al. (2009, 2014), by the shortness of its training and the relaxation training that did not include mindfulness. It also contrasted by its manipulation checks and its comprehensive experimental approach that attempted to replicate existing predictors or correlates for SMR-BCI accuracy. The prediction of BCI accuracy by individual characteristics is receiving increased attention, but requires replication studies and a comprehensive approach, to contribute to the growing base of evidence of predictors for SMR-BCI accuracy. While short PMR and VMC trainings could not yield an effect on BCI performance, mindfulness meditation training might be beneficial for SMR-BCI accuracy. Moreover, it could be implemented for people in the locked-in-syndrome, allowing to reach the end-users that are the most in need for improvements in BCI performance.