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Adaptive neurofeedback on parieto-occipital cortex for motor learning performance (Motor öğrenme performansı için parieto-oksipital korteks üzerinde uyarlamalı nörogeribesleme)

Özdenizci, Ozan and Meyer, Timm and Çetin, Müjdat and Grosse-Wentrup, Moritz (2015) Adaptive neurofeedback on parieto-occipital cortex for motor learning performance (Motor öğrenme performansı için parieto-oksipital korteks üzerinde uyarlamalı nörogeribesleme). In: 23th Signal Processing and Communications Applications Conference (SIU 2015), Malatya

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Official URL: http://dx.doi.org/10.1109/SIU.2015.7130213

Abstract

Numerous electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems are being used as alternative means of communication for locked-in patients. Beyond these, BCIs are also considered in the context of post-stroke motor rehabilitation. Such research usually focuses on exploiting information decoded from sensorimotor activity of the brain. Here, we propose to extend this current focus beyond sensorimotor to also include associative brain areas. In this pilot study, we present an adaptive neurofeedback training paradigm to up-regulate particular EEG activity that is likely to enhance post-stroke motor rehabilitation. Our experimental results support the interpretation that the neurofeedback paradigm enables subjects to up-regulate intended activity and sustain that modulation in inter-trial resting periods in a state that we believe can support motor learning performance. These results serve as a beginning on viability of our claim on integrating a neurofeedback approach to BCI-based motor rehabilitation protocols.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:brain-computer interface, neurofeedback, motor learning, stroke rehabilitation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QP Physiology > QP1-(981) Physiology > QP351-495 Neurophysiology and neuropsychology
ID Code:28924
Deposited By:Müjdat Çetin
Deposited On:24 Dec 2015 12:58
Last Modified:24 Dec 2015 13:05

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