Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories

Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories

Several studies showed evidence supporting the possibility of hand trajectory decoding from low-frequency electroencephalography (EEG). However, the decoding in the source space via source localization is scarcely investigated. In this study, we tried to tackle the problem of collinearity due to the...

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Bibliographic Details
Main Authors: Nitikorn Srisrisawang, Gernot R. Müller-Putz
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Human Neuroscience
Subjects:
electroencephalography (EEG)
magnetic resonance imaging (MRI)
source localization
partial least squares regression
unscented Kalman filter
frontoparietal network
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.830221/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2022.830221/full

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