Please use this identifier to cite or link to this item:
http://oaps.umac.mo/handle/10692.1/174
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | LI, BENZHENG (李本正) | - |
dc.date.accessioned | 2017-10-06T10:48:10Z | - |
dc.date.available | 2017-10-06T10:48:10Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | LI, B. Z. (2017). Individual Alpha Peak Frequency Neurofeedback Training Improves Cognitioin: A Sham-Controlled Study in Healthy Adults (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository. | en_US |
dc.identifier.uri | http://oaps.umac.mo/handle/10692.1/174 | - |
dc.description.abstract | As reported in many studies, resting individual alpha peak frequency (iAPF) had been shown to positively correlate with cognitive performances. This study aimed to enhance cognition by up-regulating iAPFs in the eyes-closed condition using neurofeedback training (NFT). Before and after all training sessions, cognitive abilities were assessed by the mental rotation and n-back tests. Twenty-eight healthy adults were randomly assigned to a neurofeedback group, where real-time feedbacks of iAPFs were given, and a sham group, where irrelevant placebo feedbacks were provided. Results suggested that iAPFs and performance of the mental rotation test had been significantly increased in the neurofeedback group, while no significant changes were observed in the sham group. The finding suggested the effectiveness of the iAPF NFT on enhancement of cognitive performance. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Individual Alpha Peak Frequency Neurofeedback Training Improves Cognitioin: A Sham-Controlled Study in Healthy Adults | en_US |
dc.type | OAPS | en_US |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.description.instructor | Prof. WAN, FENG & Prof. ROSA, AGOSTINHO | en_US |
dc.contributor.faculty | Faculty of Science and Technology | en_US |
dc.description.programme | Bachelor of Science in Electrical and Computer Engineering | en_US |
Appears in Collections: | FST OAPS 2017 |
Files in This Item:
File | Description | Size | Format | |
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OAPS_2017_FST_024.pdf | 1.87 MB | Adobe PDF | View/Open |
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