FNIRS-Based Binary Communication Using Mental Imagery
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Brain-computer interfacing in patient populations should be straightforward and enable in-session communication. An fNIRS-based binary communication paradigm is presented that requires limited preparation time and employs merely nine optodes on the left parietal-frontal hemisphere. Eighteen healthy participants performed two mental imagery tasks, mental drawing and spatial navigation, during auditorily cued time windows to answer yes/no questions. Participants’ answers were decoded in simulated real-time with a general linear model. A multi-trial group accuracy of 67% was reached using the oxygenated hemoglobin signal, whereas seven participants showed significant response in the deoxygenated hemoglobin signal. A simulated real-time multivariate approach was explored and showed discernibility of the two tasks, based on spatial patterns ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["binary communication","brain computer interface","functional near infrared spectroscopy (fNIRS)","mental drawing","mental imagery","motor imagery","spatial navigation","yes/no decoding"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Brain-computer interfacing in patient populations should be straightforward and enable in-session communication. An fNIRS-based binary communication paradigm is presented that requires limited preparation time and employs merely nine optodes on the left parietal-frontal hemisphere. Eighteen healthy participants performed two mental imagery tasks, mental drawing and spatial navigation, during auditorily cued time windows to answer yes/no questions. Participants’ answers were decoded in simulated real-time with a general linear model. A multi-trial group accuracy of 67% was reached using the oxygenated hemoglobin signal, whereas seven participants showed significant response in the deoxygenated hemoglobin signal. A simulated real-time multivariate approach was explored and showed discernibility of the two tasks, based on spatial patterns ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Brain-computer interfacing in patient populations should be straightforward and enable in-session communication. An fNIRS-based binary communication paradigm is presented that requires limited preparation time and employs merely nine optodes on the left parietal-frontal hemisphere. Eighteen healthy participants performed two mental imagery tasks, mental drawing and spatial navigation, during auditorily cued time windows to answer yes/no questions. Participants’ answers were decoded in simulated real-time with a general linear model. A multi-trial group accuracy of 67% was reached using the oxygenated hemoglobin signal, whereas seven participants showed significant response in the deoxygenated hemoglobin signal. A simulated real-time multivariate approach was explored and showed discernibility of the two tasks, based on spatial patterns 
binary communication; brain computer interface; functional near infrared spectroscopy (fNIRS); mental drawing; mental imagery; motor imagery; spatial navigation; yes/no decoding