Abstract
Objective: To investigate the extent to which functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) can be concomitantly used to quantify motor dysfunction in Parkinson’s Disease (PD) patients versus neurotypical controls (NTC).
Background: Objective and efficient measures to quantify the symptoms of PD are lacking. We developed a system of synchronized brain neuroimaging consisting of fNIRS and EEG to study the changes in brain activity while PD patients and controls performed a set of motor tasks.
Design/Methods: 9 PD patients and 9 NTC participants performed motor tasks including finger tapping, hand flipping, arm movement, and foot stomping on both left and right sides while fNIRS and EEG were recorded from the area covering the motor cortex of both hemispheres. Each task was performed for 5 trials, each consists of 10-seconds of activity followed by 10-seconds of rest.
Oxygenated hemoglobin (HbO2) obtained from the fNIRS signal, and power spectral density (PSD) of EEG in the frequency bands of Theta [4–7 Hz], Alpha [8–15 Hz], and Beta [16–30 Hz] were used for further analysis. Support vector machine (SVM) was used to distinguish PD from NTC group. 60% of the data was used for training and the rest for testing the classifier. Three different feature sets have been used: Only fNIRS data, Only EEG data, and Hybrid fNIRS and EEG data.
Results: 12 different SVM classifiers were trained and tested for each set, and the SVM with radial kernel function and small margins resulted in the optimum results. The accuracy of distinguishing PD and NTC groups was 81.23%, 92.79%, and 93.27% for fNIRS only, EEG only, and hybrid modalities, respectively.
Conclusions: The results of this pilot study demonstrate the feasibility of objectively distinguishing PD and control based on brain activity, and could be beneficial in the diagnosis of PD and quantification of symptoms. Validation in larger groups is needed.
Disclosure: Dr. Abtahi has nothing to disclose. Dr. Shahriari has nothing to disclose. Dr. Saikia has nothing to disclose. Dr. Cay has nothing to disclose. Dr. Akbar has nothing to disclose. Dr. Mankodiya has nothing to disclose.
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