EEG changes and motor deficits in Parkinson’s disease patients: Correlation of motor scales and EEG power bands

Miladinović, Aleksandar; Ajčević, Miloš; Busan, Pierpaolo; Jarmolowska, Joanna; Deodato, Manuela; Mezzarobba, Susanna; Battaglini, Piero Paolo; Accardo, Agostino

doi:10.1016/j.procs.2021.09.031

Cited by 3 publications

(4 citation statements)

References 39 publications

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“…We also found a widespread significant increase of relative theta power in both EC and EO with a significant correlation with MDS-UPDRS score, although the latter was less sensitive in differentiating PD from the control group. Our results agree with previous studies that proposed this measure as the most pronounced differences with the control group [ 24 , 40 , 74 ], besides its significant correlation in EC [ 75 ]. Theta activity is associated with a variety of cognitive and attentional processes involving both frontal and posterior cortical regions, including the periodic sampling of unattended visual information and navigation of the sensory environment [ 76 ].…”

Section: Discussionsupporting

confidence: 93%

“…Few studies found a significantly reduced relative beta power in PD in EC [ 25 , 44 ], while other studies reported no significant differences between PD and the control group in EC [ 16 , 28 , [88] , [89] , [90] , [91] ], which is consistent with our findings. Our results partially agree with Miladinović [ 75 ] and Neumann [ 92 ] who found a significant correlation between UPDRS-III, which is a subcomponent of the MDS-UPDRS score and low beta in PD under pharmacological treatment [ 75 ] which has been shown to reduce the low beta band and increase the high-beta [ 52 , 93 , 94 ]. We also found that beta reactivity is more sensitive in detecting PD than either EC or EO, obtaining a diffuse significant difference, as well as a strong correlation with the MDS-UPDRS score.…”

Section: Discussionsupporting

confidence: 91%

See 1 more Smart Citation

Early detection of Parkinson's disease: Systematic analysis of the influence of the eyes on quantitative biomarkers in resting state electroencephalography

Gimenez-Aparisi,

Guijarro-Estelles,

Chornet-Lurbe

et al. 2023

Heliyon

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 91%

Early detection of Parkinson's disease: Systematic analysis of the influence of the eyes on quantitative biomarkers in resting state electroencephalography

Gimenez-Aparisi,

Guijarro-Estelles,

Chornet-Lurbe

et al. 2023

Heliyon

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“…Although most studies have found that resting-state alpha is elevated in PD (Stoffers et al, 2007), others have reported a decrease (Caviness et al, 2016). Furthermore, abnormal oscillations (e.g., beta power and alpha/theta ratios) have been linked to several factors related to the severity of PD (Miladinović et al, 2021). These include disease stage, disease progression, and the severity of cognitive impairment (Jaramillo-Jimenez et al, 2021;Olde Dubbelink et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Medication-Invariant Resting Aperiodic and Periodic Neural Activity in Parkinson’s Disease

McKeown,

Jones,

Pihl

et al. 2023

Preprint

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Parkinsons Disease (PD) has been associated with greater total power in canonical frequency bands (i.e., alpha, beta) of the resting electroencephalogram (EEG). However, PD has also been associated with a reduction in the proportion of total power across all frequency bands. This discrepancy may be explained by aperiodic activity (exponent and offset) present across all frequency bands. Here, we examined differences in the eyes-open and eyes-closed resting EEG of PD participants (N = 26) on and off medication, and age-matched controls (CTL; N = 26). We extracted power from canonical frequency bands using traditional methods (total alpha and beta power) and extracted separate parameters for periodic (parameterized alpha and beta power) and aperiodic activity (exponent and offset). Cluster-based permutation tests over spatial and frequency dimensions indicated that total alpha and beta power, and aperiodic exponent and offset were greater in PD participants, independent of medication status. After removing the exponent and offset, greater alpha power in PD (vs. CTL) was only present in eyes-open recordings and no reliable differences in beta power were observed. Differences between PD and CTLs in the resting EEG are likely driven by aperiodic activity, suggestive of greater relative inhibitory neural activity and greater neuronal spiking. Our findings suggest that resting EEG activity in PD is characterized by medication-invariant differences in aperiodic activity which is independent of the increase in alpha power with EO. This highlights the importance of considering aperiodic activity contributions to the neural correlates of brain disorders.

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“…Although most studies have found that resting‐state alpha is elevated in PD (Stoffers et al., 2007), others have reported a decrease (Caviness et al., 2016). Furthermore, abnormal oscillations (e.g., beta power and alpha/theta ratios) have been linked to several factors related to the severity of PD (Miladinović et al., 2021). These include disease stage, disease progression, and the severity of cognitive impairment (Jaramillo‐Jimenez et al., 2021; Olde Dubbelink et al., 2013).…”

Section: Introductionmentioning

confidence: 99%

Medication‐invariant resting aperiodic and periodic neural activity in Parkinson's disease

McKeown,

Jones,

Pihl

et al. 2023

Psychophysiology

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Parkinson's disease (PD) has been associated with greater total power in canonical frequency bands (i.e., alpha, beta) of the resting electroencephalogram (EEG). However, PD has also been associated with a reduction in the proportion of total power across all frequency bands. This discrepancy may be explained by aperiodic activity (exponent and offset) present across all frequency bands. Here, we examined differences in the eyes‐open (EO) and eyes‐closed (EC) resting EEG of PD participants (N = 26) on and off medication, and age‐matched healthy controls (CTL; N = 26). We extracted power from canonical frequency bands using traditional methods (total alpha and beta power) and extracted separate parameters for periodic (parameterized alpha and beta power) and aperiodic activity (exponent and offset). Cluster‐based permutation tests over spatial and frequency dimensions indicated that total alpha and beta power, and aperiodic exponent and offset were greater in PD participants, independent of medication status. After removing the exponent and offset, greater alpha power in PD (vs. CTL) was only present in EO recordings and no reliable differences in beta power were observed. Differences between PD and CTL in the resting EEG are likely driven by aperiodic activity, suggestive of greater relative inhibitory neural activity and greater neuronal spiking. Our findings suggest that resting EEG activity in PD is characterized by medication‐invariant differences in aperiodic activity which is independent of the increase in alpha power with EO. This highlights the importance of considering aperiodic activity contributions to the neural correlates of brain disorders.

show abstract

EEG changes and motor deficits in Parkinson’s disease patients: Correlation of motor scales and EEG power bands

Cited by 3 publications

References 39 publications

Early detection of Parkinson's disease: Systematic analysis of the influence of the eyes on quantitative biomarkers in resting state electroencephalography

Early detection of Parkinson's disease: Systematic analysis of the influence of the eyes on quantitative biomarkers in resting state electroencephalography

Medication-Invariant Resting Aperiodic and Periodic Neural Activity in Parkinson’s Disease

Medication‐invariant resting aperiodic and periodic neural activity in Parkinson's disease

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