Brain Topography

, Volume 30, Issue 3, pp 333–342 | Cite as

The Effect of Lateralization of Motor Onset and Emotional Recognition in PD Patients Using EEG

Original Paper


The objective of this research was to investigate the relationship between emotion recognition and lateralization of motor onset in Parkinson’s disease (PD) patients using electroencephalogram (EEG) signals. The subject pool consisted of twenty PD patients [ten with predominantly left-sided (LPD) and ten with predominantly right-sided (RPD) motor symptoms] and 20 healthy controls (HC) that were matched for age and gender. Multimodal stimuli were used to evoke simple emotions, such as happiness, sadness, fear, anger, surprise, and disgust. Artifact-free emotion EEG signals were processed using the auto regressive spectral method and then subjected to repeated ANOVA measures. No group differences were observed across behavioral measures; however, a significant reduction in EEG spectral power was observed at alpha, beta and gamma frequency oscillations in LPD, compared to RPD and HC participants, suggesting that LPD patients (inferred right-hemisphere pathology) are impaired compared to RPD patients in emotional processing. We also found that PD-related emotional processing deficits may be selective to the perception of negative emotions. Previous findings have suggested a hemispheric effect on emotion processing that could be related to emotional response impairment in a subgroup of PD patients. This study may help in clinical practice to uncover potential neurophysiologic abnormalities of emotional changes with respect to PD patient’s motor onset.


EEG Emotion Parkinson’s disease Body side of motor onset 



This research was financially supported by Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education, Malaysia, Grant No: 9003-00507.

Compliance of Ethical Standards

Conflict of interest

The Author(s) declare(s) that there is no conflict of interest.

Supplementary material

10548_2016_524_MOESM1_ESM.docx (409 kb)
Supplementary material 1 (DOCX 409 kb)


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringSri Sivasubramaniya Nadar (SSN) College of EngineeringChennaiIndia
  2. 2.Department of Electronics and Communication EngineeringKuwait College of Science and TechnologySafatKuwait
  3. 3.School of ComputingUniversity of KentMedwayUK
  4. 4.Neural Systems Laboratory, Department of Biomedical EngineeringUniversity of KentuckyLexingtonUSA

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