Depression in Parkinson’s disease: an EEG frequency analysis study

Filipović, Saša R.; Covickovic-Sternic, Nadezda; Stojanović-Svetel, Marina; Lecic, D.; Kostić, Vladimir

doi:10.1016/s1353-8020(98)00027-3

Cited by 8 publications

(9 citation statements)

References 40 publications

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“…The findings of this study are in discrepancy with findings from other functional studies (i.e., functional imaging, neuropsychological, electroencephalographic) that identified significant, albeit small, differences between depressed and non‐depressed PD patients 33–37. The lack of significant qualitative or quantitative difference in BPs between depressed and non‐depressed PD patients might be a consequence of the fact that different functional circuits are involved in producing depression and in generation of the BP.…”

Section: Discussioncontrasting

confidence: 99%

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

et al. 2001

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Impaired initiation and slowed execution of movements are two of the principal characteristics of Parkinson's disease (PD). A similar pattern of movement impairments (psychomotor retardation) can be seen frequently in patients with idiopathic depression. In addition, affective disorders have been frequently reported in patients with different basal ganglia disorders. The aim of this study was to determine whether there are some particularities in the cerebral electrical activity during the preparation and execution of voluntary internally paced movements (i.e., Bereitschaftspotential, BP) in depressed PD patients, which can distinguish them from non-depressed PD patients, as well as from healthy controls. The BPs were recorded in 16 patients with idiopathic PD, eight of whom were depressed (PD-D), and eight of whom were not (PD-ND). Additional recordings were taken from a group of eight age- and sex-matched healthy subjects. Depression was classified using the Research Diagnostic Criteria and the two PD groups were matched for age, disease severity, and disease duration. The amplitudes and slopes of the BPs from PD patients were generally smaller than in controls, but there was no specific pattern of BP changes that distinguished depressed from non-depressed PD patients. In addition, there was no particular association between measures of depression severity and BP parameters. The data suggest that presence of depression in PD might not have any additional deteriorating influence on already impaired preparation for self-paced spontaneous movements.

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Section: Discussioncontrasting

confidence: 99%

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

et al. 2001

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“…Our work is supported by prior qEEG studies describing that a single parameter can differentiate depression and dementia in PD [15]. An early study which averages across all EEG electrodes reported distinct scalp topography of depressed PD patients, focusing on alpha rhythms [7]. Our study is supportive of these differences, and we are able to localize these results to the left frontal electrodes.…”

Section: Discussionsupporting

confidence: 84%

“…Importantly, this aspect of PD is often missed by physicians, contributing to morbidity and decreased quality of life [3][4][5][6]. Despite its significance and impact [7], it is unclear which brain circuits contribute to PD-related depression [8]. Determining which brain circuits are involved could lead to the development of new diagnostic tools to identify PDrelated depression, as well as targeted treatments such as neuromodulation [9].…”

Section: Introductionmentioning

confidence: 99%

“…One technique that is particularly well-suited to capture cortical neurophysiology is electroeencephalography (EEG), which uses scalp electrodes to record activity from the cortex via an array of scalp electrodes. An early EEG study comparing depressed and non-depressed PD patients found widespread differences in alpha bands (8)(9)(10)(11)(12)(13) in posterior and frontal sites [7].…”

Section: Introductionmentioning

confidence: 99%

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Resting-state EEG distinguishes depression in Parkinson’s disease

Espinoza

May

Anjum

et al. 2022

Preprint

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Introduction: Depression is a non-motor symptom of Parkinson's disease (PD). PD-related depression is hard to diagnose and the neurophysiological basis is poorly understood. Depression can markedly affect cortical function, which suggests that scalp electroencephalography (EEG) may be able to distinguish depression in PD. Methods: We recruited 18 PD patients, 18 PD patients with depression, and 12 demographically-similar non-PD patients with clinical depression. All patients were on their usual medications. We collected resting-state EEG in all patients and compared cortical brain signal features between patients with and without depression. We used a machine-learning algorithm that harnesses the entire power spectrum (linear predictive coding of EEG Algorithm for PD: LEAPD), to distinguish between groups. Results: We found differences between PD patients with and without depression in the alpha band (8-13 Hz) globally and in the beta (13-30 Hz) and gamma (30-80 Hz) bands in the central electrodes. From two minutes of resting-state EEG we found that LEAPD-based machine learning could robustly distinguish between PD patients with and without depression with 97% accuracy, and between PD patients with depression and non-PD patients with depression with 100% accuracy. We verified the robustness of our finding by confirming that the classification accuracy declines gracefully as data are truncated. Conclusions: We demonstrated the efficacy of the LEAPD algorithm in identifying PD patients with depression from PD patients without depression and controls with depression. Our data provide insight into cortical mechanisms of depression and could lead to novel neurophysiologically-based biomarkers for non-motor symptoms of PD.

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“…Higher spectral alpha1 power indicates relaxation and a higher degree of calmness [31]. In addition, there is evidence from a study in Parkinson patients that those suffering from depressive symptomatology showed significantly lower absolute alpha1 spectral power [32]. The increase observed in the presence of Zembrin ® may be interpreted as a positive effect on calmness and mood.…”

Section: Discussionmentioning

confidence: 99%

Psychophysiological Effects of Zembrin<sup>®</sup>Using Quantitative EEG Source Density in Combination with Eye-Tracking in 60 Healthy Subjects. A Double-Blind, Randomized, Placebo-Controlled, 3-Armed Study with Parallel Design

Dimpfel¹,

Gericke²,

Suliman³

et al. 2016

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The endemic South African succulent plant Sceletium tortuosum (L.) N.E. Br., family Mesembryathemaceae, is known as kanna in Nama, kougoed in Afrikaans, and sceletium in English. The plant has been used as a tea and as a masticatory for millennia by indigenous San hunter-gatherers and Nama pastoralists for endurance and well-being. It has been reported that the plant "gives strength to their limbs, and takes away pain, and makes their memory strong". The current investigation aimed at the psychophysiological characterization of 25.0 and 50.0 mg of a special extract marketed as Zembrin ® in comparison to placebo using a new methodology called "EnkephaloVision". This combination of EEG Neurocode-Tracking and Eye-Tracking allows for concomitant analysis of time epochs of only 364 ms duration. Spectral EEG analysis during cognitive and emotional challenges revealed statistically significant increases of delta (p < 0.01 during arithmetic calculation and watching a boring animal video) and theta spectral power (p < 0.10 during these same challenges) in the presence of Zembrin ® within the frontal brain. It is these same increases of slow waves in the frontal brain that are described in the literature during performance of mental tests. This indicates a positive effect of Zembrin ® on the electrical activity of the brain during cognitive processing. In addition, alpha1 and alpha2 spectral power in the frontal brain was increased during several challenges including brain teasing, arithmetic calculations and performance of a memory test. From the literature, increases of spectral alpha1 power indicate a greater degree of W. Dimpfel et al. 115calmness and may represent decreased depressive symptoms, while increases in alpha2 waves have been related to memory. Beta2 waves increased during mental performance in the presence of the higher dosage of Zembrin ® in parietal, occipital and temporal brain regions. In comparison to placebo, Zembrin ® induced frequency changes in the brain, which have been related to enhanced attention and memory. These results may represent a positive action of Zembrin ® on cognitive and emotional processes in the brain.

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Depression in Parkinson’s disease: an EEG frequency analysis study

Cited by 8 publications

References 40 publications

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

Resting-state EEG distinguishes depression in Parkinson’s disease

Psychophysiological Effects of Zembrin<sup>®</sup>Using Quantitative EEG Source Density in Combination with Eye-Tracking in 60 Healthy Subjects. A Double-Blind, Randomized, Placebo-Controlled, 3-Armed Study with Parallel Design

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Depression in Parkinson’s disease: an EEG frequency analysis study

Cited by 8 publications

References 40 publications

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

Bereitschaftspotential in depressed and non‐depressed patients with Parkinson's disease

Resting-state EEG distinguishes depression in Parkinson’s disease

Psychophysiological Effects of Zembrin&lt;sup&gt;&#174;&lt;/sup&gt;Using Quantitative EEG Source Density in Combination with Eye-Tracking in 60 Healthy Subjects. A Double-Blind, Randomized, Placebo-Controlled, 3-Armed Study with Parallel Design

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Product

Resources

About

Psychophysiological Effects of Zembrin<sup>®</sup>Using Quantitative EEG Source Density in Combination with Eye-Tracking in 60 Healthy Subjects. A Double-Blind, Randomized, Placebo-Controlled, 3-Armed Study with Parallel Design