Why You Should Report Bayes Factors in Your Transcranial Brain Stimulation Studies

Por Biel, Anna Lena, Friedrich, Elisabeth V. C.
Publicado no Front Psychol (2018)

Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually

Por Friedrich, Elisabeth V. C., Neuper, Christa, Scherer, Reinhold
Publicado em 2013

Mind over brain, brain over mind: cognitive causes and consequences of controlling brain activity

Por Friedrich, Elisabeth V. C., Wood, Guilherme, Scherer, Reinhold, Neuper, Christa
Publicado em 2014

Neurorehabilitation of social dysfunctions: a model-based neurofeedback approach for low and high-functioning autism

Por Pineda, Jaime A., Friedrich, Elisabeth V. C., LaMarca, Kristen
Publicado em 2014

Brain–computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum

Por Friedrich, Elisabeth V. C., Suttie, Neil, Sivanathan, Aparajithan, Lim, Theodore, Louchart, Sandy, Pineda, Jaime A.
Publicado em 2014

A Scanning Protocol for a Sensorimotor Rhythm-Based Brain-Computer Interface

Por Friedrich, Elisabeth V. C., McFarland, Dennis J., Neuper, Christa, Vaughan, Theresa M., Brunner, Peter, Wolpaw, Jonathan R.
Publicado em 2008

Non-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment

Por Faller, Josef, Scherer, Reinhold, Friedrich, Elisabeth V. C., Costa, Ursula, Opisso, Eloy, Medina, Josep, Müller-Putz, Gernot R.
Publicado em 2014

Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability

Por Scherer, Reinhold, Faller, Josef, Friedrich, Elisabeth V. C., Opisso, Eloy, Costa, Ursula, Kübler, Andrea, Müller-Putz, Gernot R.
Publicado no PLoS One (2015)