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Updated: May 6, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Emotion processing in Parkinson's disease: an EEG spectral power study
R Yuvaraj1, M Murugappan, Mohd Iqbal Omar
11School of Mechatronic Engineering, University Malaysia Perlis (UniMAP), Malaysia.
Parkinson's disease (PD) patients exhibit distinct electroencephalogram (EEG) patterns during emotional processing. Their brain activity shows altered theta, alpha, beta, and gamma band powers, suggesting unique neurobiological mechanisms for emotion recognition deficits in PD.
Area of Science:
- Neuroscience
- Neurology
- Psychology
Background:
- Emotional deficits are common in Parkinson's disease (PD).
- The neurobiological underpinnings of emotion recognition impairments in PD remain unclear.
- This study investigates the neural mechanisms of emotion processing in PD using electroencephalogram (EEG).
Purpose of the Study:
- To examine emotion processing deficits in Parkinson's disease (PD) patients.
- To investigate the neurobiological mechanisms of emotion recognition using electroencephalogram (EEG) signals.
- To compare EEG patterns between PD patients and normal controls (NCs) during emotional tasks.
Main Methods:
- EEG signals were recorded from 14 PD patients and 14 age-matched normal controls (NCs).
- Relative power in theta, alpha, beta, and gamma frequency bands was computed across anterior, central, and posterior brain regions.
- Participants processed both positive and negative emotional stimuli.
Main Results:
- PD patients demonstrated reduced performance in classifying emotional stimuli.
- Significant differences in EEG power across all frequency bands and brain regions were observed between PD patients and NCs (p < 0.05).
- PD patients showed increased relative spectral power in theta and gamma bands and decreased power in alpha and beta bands compared to NCs.
Conclusions:
- Distinct neurobiological substrates may underlie emotional information processing in Parkinson's disease (PD).
- Altered spectral power distributions in various frequency bands offer insights into emotional processing deficits in PD.
- EEG analysis provides a potential biomarker for understanding emotion recognition impairments in PD.
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