Brain-Computer Interface and Mind-Body Awareness Training
Status: | Completed |
---|---|
Conditions: | Healthy Studies |
Therapuetic Areas: | Other |
Healthy: | No |
Age Range: | 18 - 64 |
Updated: | 1/14/2018 |
Start Date: | March 2014 |
End Date: | June 28, 2017 |
Mind-Body Awareness Training (MBAT), in the forms of various yoga and meditative practices,
has become increasingly prevalent due to an increase in awareness of the potential health
benefits, and improvements in concentration that this training can provide to practitioners.
In the present study, we investigate the role of Mind-Body Awareness Training (MBAT) in the
initial learning of a sensorimotor (SMR) based Brain-Computer Interface (BCI).
The PI's hypothesis is that MBAT will improve performance in SMR based BCI.
has become increasingly prevalent due to an increase in awareness of the potential health
benefits, and improvements in concentration that this training can provide to practitioners.
In the present study, we investigate the role of Mind-Body Awareness Training (MBAT) in the
initial learning of a sensorimotor (SMR) based Brain-Computer Interface (BCI).
The PI's hypothesis is that MBAT will improve performance in SMR based BCI.
In this protocol, we will test the PI's hypothesis that MBAT including yoga will improve the
ability for subjects to concentrate on control the SMR thus improving the performance of BCI.
Subjects will be recruited for short term MBAT and then undergo BCI training. The performance
of subjects with MBAT will be compared with those without MBAT to test the hypothesis.
Procedures involved include 6 weeks yoga classes with at least 3 classes per week, and a EEG
brain noninvasive brain computer interface study.
ability for subjects to concentrate on control the SMR thus improving the performance of BCI.
Subjects will be recruited for short term MBAT and then undergo BCI training. The performance
of subjects with MBAT will be compared with those without MBAT to test the hypothesis.
Procedures involved include 6 weeks yoga classes with at least 3 classes per week, and a EEG
brain noninvasive brain computer interface study.
Inclusion Criteria:
- 18-64 years old healthy subjects
Exclusion Criteria:
- History of traumatic brain injury/brain lesion, history of neurological deficit or
neurodegenerative disorder, or history of epileptic seizures.
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