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Leistungsmotivation (German Edition)

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Advanced Search Find a Library. Your list has reached the maximum number of items. Please create a new list with a new name; move some items to a new or existing list; or delete some items. Your request to send this item has been completed. Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. Our results contribute to the first factor, i. When further elucidating the correlates of BCI control it may, in the future, be possible to assign weights to the different factors dependent on the input signal for BCI control.

Future development could then focus on these aspects specifically with targeted end-users of BCI. Such trainings are applied successfully to improve concentration in people with attention deficit disorders and after stroke and are more accessible than the visuo-motor tasks with reduced motor control refs.

To be of value for potential BCI end-user with disease, the predictors need to be confirmed in clinical samples, which is, however, difficult due to the required larger sample size. Finally, some limitations of the current study must be mentioned: We recruited a sample of young and healthy people who had a high level of education. Such a selection of participants renders the sample more homogenous than the general population and leads to reduced variance Hammer et al.


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In more representative samples or in samples of patients with diseases that affect the central nervous system e. In relation to the large number of psychological test variables, the sample size was too small to maintain significance after Bonferroni correction. Furthermore, we only conducted three BCI sessions, which may not be sufficient for learning. Another limitation is the low correlation of the visuo-motor coordination ability and SMR-BCI performance and the lack of significance in the regression model in the current data set.

However, when enlarging the data set the predictor could be consolidated. Psychological variables explain a moderate amount of the variance of SMR feedback performance. Visuo-motor coordination abilities could be consolidated as a small predictor of performance.

Leistungsmotivation Und Entwicklung : Wolfgang Kunze :

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare no competing financial interests. The authors thank Frederike Beyer and Florian Baumgartner for their valuable support.

National Center for Biotechnology Information , U. Journal List Front Hum Neurosci v. Published online Aug 6. Author information Article notes Copyright and License information Disclaimer. Received Mar 24; Accepted Jul The use, distribution or reproduction in other forums is permitted, provided the original author s or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.

No use, distribution or reproduction is permitted which does not comply with these terms. This article has been cited by other articles in PMC. Introduction Prediction of behavior, performance or decisions of individuals or groups is a popular theme in modern psychology research.

Since those results serve as a basis for the current study, we present a summery about the methods, results and implications: Aims of the current study Firstly, we were aiming at replicating and thereby consolidating the two psychological predictors previously found.

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Experimental paradigms Two different feedback paradigms were used to feedback SMR modulation to the participants. Open in a separate window. Experimental schedule All participants attended one session for assessment of the psychological test battery prior to BCI training see Section Psychological Test Battery. Psychological test battery Following Hammer et al. Statistical analysis Normal distributions of data were checked with Kolmogorov-Smirnov tests and with visual inspection of the QQ-Plots. Table 1 Regression coefficients for standard regression models and for robust regression analyses.

Stability of the prediction model Although the 2HAND failed significance in the entire regression analysis, the correlation with SMR feedback performance was at a similar level as in Hammer et al. Discussion The purpose of the current study was to investigate whether psychological variables could predict performance with a BCI based on modulation of SMR and whether we could validate our previously found predictors of such performance. Practical implications Obviously, the practical value of the visuo-motor coordination ability for predicting later SMR-BCI performance is low because this predictor cannot be assessed and trained in potential BCI users in the locked-in state, in who no muscular movement is possible.

Limitations Finally, some limitations of the current study must be mentioned: Conclusions Psychological variables explain a moderate amount of the variance of SMR feedback performance. Conflict of interest statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments The authors declare no competing financial interests. Principles and Practice , eds Wolpaw J. Oxford University Press; , — Averbeck M. Swets Test Services Birbaumer N. The non-invasive Berlin Brain-computer interface: Neuroimage 37 , — Neuroimage 51 , — Is the locus of reinforcement a predictor of brain-computer interface performance? Talking off the top of your head: A scanning protocol for a senorimotor rhythm-based brain-computer interface.

Neural mechanisms of brain-computer interface control. Neuroimage 55 , — Out of the frying pan into the fire-the Pbased BCI faces real-world challenges. Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology 64 , — Learning to control heart rate: Psychophysiology 13 , — Diagnostica 57 , — Brain-computer interfaces based on the steady-state visual-evoked response. Combining brain-computer interfaces and assistive technologies: Imagery of motor actions: The influence of psychological state and motivation on a brain-computer interface performance in patients with amyotrophic lateral sclerosis—a longitudinal study.

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