Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Abnormally low sensorimotor α band nonlinearity serves as an effective EEG biomarker of Parkinson’s disease
Date
2024-02-01
Author
Özkurt, Tolga Esat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
119
views
0
downloads
Cite This
Biomarkers obtained from the neurophysiological signals of patients with Parkinson’s disease (PD) have objective value in assessing their motor condition for effective diagnosis, monitoring, and clinical intervention. Prominent cortical biomarkers of PD have typically been derived from various β band wave features. This study approached the topic from an alternative perspective and attempted to estimate a recently suggested measure representing α band nonlinear autocorrelative memory from a publicly available EEG dataset that involves 15 patients with earlier-stage PD (dopaminergic medication OFF and ON states) and 16 age-matched healthy controls. The cortical nonlinearity was elevated for the PD ON state compared with the OFF state for bilateral sensorimotor channels C3 and C4 (n= 26;P= 0.003). A similar statistical difference was also identified between PD OFF state and healthy subjects (n= 26;P= 0.049). Analysis over all channels revealed that the α band nonlinearity induced upon medication was constrained to sensorimotor regions. The α nonlinearity measure was compared with a well-accepted cortical biomarker of β-γ phase-amplitude coupling (PAC). They were in moderate negative correlation (r= –0.412;P= 0.036) for only healthy subjects, but not for the patients. The nonlinearity measure was found to be insusceptible to the nonstationary variations within the particular data. Our study provides further evidence that the α band nonlinearity measure can serve as a promising cortical biomarker of PD. The suggested measure can be estimated from a noninvasive low-resolution single scalp EEG channel of patients with relatively early-stage PD, who did not yet need to undergo deep brain stimulation operation.
URI
https://hdl.handle.net/11511/108626
Journal
JOURNAL OF NEUROPHYSIOLOGY
DOI
https://doi.org/10.1152/jn.00272.2023
Collections
Graduate School of Informatics, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. E. Özkurt, “Abnormally low sensorimotor α band nonlinearity serves as an effective EEG biomarker of Parkinson’s disease,”
JOURNAL OF NEUROPHYSIOLOGY
, vol. 131, no. 2, pp. 435–445, 2024, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/108626.