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  1.  36
    Brain-Computer Interfaces and Personhood: Interdisciplinary Deliberations on Neural Technology.Matthew Sample, Marjorie Aunos, Stefanie Blain-Moraes, Christoph Bublitz, Jennifer Chandler, Tiago H. Falk, Orsolya Friedrich, Deanna Groetzinger, Ralf J. Jox & Johannes Koegel - 2019 - Journal of Neural Engineering 16 (6).
    Scientists, engineers, and healthcare professionals are currently developing a variety of new devices under the category of brain-computer interfaces (BCIs). Current and future applications are both medical/assistive (e.g., for communication) and non-medical (e.g., for gaming). This array of possibilities comes with ethical challenges for all stakeholders. As a result, BCIs have been an object of both hope and concern in various media. We argue that these conflicting sentiments can be productively understood in terms of personhood, specifically the impact of BCIs (...)
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  2. Editorial: Cognitive and Motor Control Based on Brain-Computer Interfaces for Improving the Health and Well-Being in Older Age.Abdelkader Nasreddine Belkacem, Tiago H. Falk, Takufumi Yanagisawa & Christoph Guger - 2022 - Frontiers in Human Neuroscience 16.
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    Multimodal Resting-State Connectivity Predicts Affective Neurofeedback Performance.Lucas R. Trambaiolli, Raymundo Cassani, Claudinei E. Biazoli, André M. Cravo, João R. Sato & Tiago H. Falk - 2022 - Frontiers in Human Neuroscience 16.
    Neurofeedback has been suggested as a potential complementary therapy to different psychiatric disorders. Of interest for this approach is the prediction of individual performance and outcomes. In this study, we applied functional connectivity-based modeling using electroencephalography and functional near-infrared spectroscopy modalities to investigate whether resting-state connectivity predicts performance during an affective neurofeedback task and evaluate the extent to which predictive connectivity profiles are correlated across EEG and fNIRS techniques. The fNIRS oxyhemoglobin and deoxyhemoglobin concentrations and the EEG beta and gamma (...)
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