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James Stieger

3 papers in the library · 2 citations · publishing 2020-2021

Papers

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Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation.

Scientific Reports March 25, 2021 Haiteng Jiang, James Stieger, Mary Jo Kreitzer et al.

Brain-computer interfaces (BCIs) are capable of translating human intentions into signals controlling an external device to assist patients with severe neuromuscular disorders. Prior work has demonstrated that participants with mindfulness meditation experience evince improved BCI performance, but the underlying neural mechanisms remain unclear. Here, we conducted a large-scale longitudinal...

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning

Frontiers in Neuroscience January 21, 2021 Xiyuan Jiang, Emily Lopez, James Stieger et al.

Sensorimotor rhythm (SMR)-based brain–computer interfaces (BCIs) provide an alternative pathway for users to perform motor control using motor imagery. Despite the non-invasiveness, ease of use, and low cost, this kind of BCI has limitations due to long training times and BCI inefficiency—that is, the SMR BCI control paradigm may not work well on a subpopulation of users. Meditation is a mental...

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm Based BCI Learning

bioRxiv Preprint Server September 9, 2020 Xiyuan Jiang, Emily Lopez, James Stieger et al. 2 citations preprint

Sensorimotor rhythm (SMR) based brain-computer interfaces (BCIs) provide an alternative pathway for users to perform motor control using motor imagery (MI). Despite the non-invasiveness, ease of use and low cost, this kind of BCI has limitation due to long training times and BCI inefficiency— where a subpopulation cannot generate decodable EEG signals to perform the control task. Meditation is...