Frontiers in Human Neuroscience
December 20, 2022
Jeehyun Kim, Xiyuan Jiang, Dylan Forenzo et al.
4 citations
Introduction: Meditation has been shown to enhance a user's ability to control a sensorimotor rhythm (SMR)-based brain-computer interface (BCI). For example, prior work have demonstrated that long-term meditation practices and an 8-week mindfulness-based stress reduction (MBSR) training have positive behavioral and neurophysiological effects on SMR-based BCI. However, the effects of short-term...
Cerebral Cortex
September 4, 2022
Xiaoli Guo, Meiyun Wang, Xu Wang et al.
Meditation has been a spiritual and healing practice in the East for thousands of years. However, the neurophysiologic mechanisms underlying its traditional form remain unclear. In this study, we recruited a large sample of monks (n = 73) who practice Tibetan Buddhist meditation and compared with meditation-naive local controls (n = 30). Their electroencephalography (EEG) and electrocardiogram...
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...
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...
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...
Cerebral Cortex
March 21, 2020
Haiteng Jiang, Bin He, Xiaoli Guo et al.
40 citations
Despite accumulating evidence suggesting improvement in one's well-being as a result of meditation, little is known about if or how the brain and the periphery interact to produce these behavioral and mental changes. We hypothesize that meditation reflects changes in the neural representations of visceral activity, such as cardiac behavior, and investigated the integration of neural and...
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics
October 1, 2019
Meiyun Wang, Shanbao Tong, Xiaoli Guo et al.
Meditation is a progressive process in which meditators may experience different stages to finally reach a deep meditation state. However, the temporal-dynamic process of meditation remains unclear. In this study, we recruited 38 experienced Tibetan Buddhism meditators to explore the dynamic process from resting to deep meditation from the aspects of EEG oscillations and networks. We found that...
Neuroimage
February 20, 2017
Abhrajeet V Roy, Keith W Jamison, Sheng He et al.
Binocular rivalry is a phenomenon in which perception spontaneously shifts between two different images that are dichoptically presented to the viewer. By elucidating the cortical networks responsible for these stochastic fluctuations in perception, we can potentially learn much about the neural correlates of visual awareness. We obtained concurrent EEG-fMRI data for a group of 20 healthy human...
Technology
September 2014
Kaitlin Cassady, Albert You, Alex Doud et al.
Brain-computer interface (BCI) systems allow users to interact with their environment by bypassing muscular control to tap directly into the users' thoughts. In the present study, we investigate the role of prior experience with yoga and meditation, examples of formalized mind-body awareness training (MBAT), in learning to use a one-dimensional sensorimotor rhythm based BCI. Thirty-six human...