Theta and gamma connectivity is linked with affective and cognitive symptoms in Parkinson's disease

Iyer, Kartik K.; Au, Tiffany R.; Angwin, Anthony J.; Copland, David A.; Dissanayaka, N.

doi:10.1016/j.jad.2020.08.086

Cited by 13 publications

(11 citation statements)

References 68 publications

(74 reference statements)

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“…Genetic studies have found an association between the SLC6A15, TPH2 78 and BDNF genes 79 and PD depression, but multiple studies examining the serotonin (SERT) and dopamine (DAT) transporter genes have been inconclusive. Recent studies have found associations with higher α-synuclein burden in the substantia nigra, ventral tegmental area, and nucleus accumbens 80 , neuronal loss in substantia nigra pars compacta 81 , and changes in brain functional connectivity using EEG 82 and fMRI 83 . Cerebral small vessel disease may also contribute to motor and non-motor symptoms in PD 84 .…”

Section: Affect Depressionmentioning

confidence: 99%

The neuropsychiatry of Parkinson's disease: advances and challenges

Weintraub

Aarsland

Chaudhuri

et al. 2022

The Lancet Neurology

190

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Section: Affect Depressionmentioning

confidence: 99%

The neuropsychiatry of Parkinson's disease: advances and challenges

Weintraub

Aarsland

Chaudhuri

et al. 2022

The Lancet Neurology

190

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“…Theta activity is generally considered to reflect fundamental cognitive functions (Biel et al, 2022;Cowley et al, 2022). An association between increased theta connectivity and cognitive dysfunction has been reported in some diseases such as Alzheimer's disease, Parkinson's disease, and schizophrenia (Andreou et al, 2015;Iyer et al, 2020;Yan et al, 2021). Increased gamma connectivity can facilitate synchronization during cognitive processing (Başar, 2013).…”

Section: Discussionmentioning

confidence: 99%

Is frontoparietal electroencephalogram activity related to the level of functional disability in patients emerging from a minimally conscious state? A preliminary study

Huang

et al. 2022

Front. Hum. Neurosci.

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ObjectiveWhen regaining consciousness, patients who emerge from a minimally conscious state (EMCS) present with different levels of functional disability, which pose great challenges for treatment. This study investigated the frontoparietal activity in EMCS patients and its effects on functional disability.Materials and methodsIn this preliminary study, 12 EMCS patients and 12 healthy controls were recruited. We recorded a resting-state scalp electroencephalogram (EEG) for at least 5 min for each participant. Each patient was assessed using the disability rating scale (DRS) to determine the level of functional disability. We analyzed the EEG power spectral density and sensor-level functional connectivity in relation to the patient’s functional disability.ResultsIn the frontoparietal region, EMCS patients demonstrated lower relative beta power (P < 0.01) and higher weighted phase lag index (wPLI) values in the theta (P < 0.01) and gamma (P < 0.01) bands than healthy controls. The frontoparietal theta wPLI values of EMCS patients were positively correlated with the DRS scores (rs = 0.629, P = 0.029). At the whole-brain level, EMCS patients only had higher wPLI values in the theta band (P < 0.01) than healthy controls. The whole-brain theta wPLI values of EMCS patients were also positively correlated with the DRS scores (rs = 0.650, P = 0.022). No significant difference in the power and connectivity between the frontoparietal region and the whole brain in EMCS patients was observed.ConclusionEMCS patients still experience neural dysfunction, especially in the frontoparietal region. However, the theta connectivity in the frontoparietal region did not increase specifically. At the level of the whole brain, the same shift could also be seen. Theta functional connectivity in the whole brain may underlie different levels of functional disability.

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“…A neuroimaging meta-analysis implied increased neural activity and structural changes in the prefrontal regions in depressed and anxious patients with PD ( Wen et al, 2016 ). EEG studies suggested spatiotemporal patterns of cortical activity and functional connectivity altered in patients with PD with affective symptoms ( Iyer et al, 2020 ). Consistent with the above studies, our results suggested a positive correlation between the Hamilton emotion scale with k PLI in the theta band (especially in the prefrontal region) in patients with TD, further confirming that patients with TD who develop mood disturbances have a greater magnitude of dynamic fluctuation of brain connectivity.…”

Section: Discussionmentioning

confidence: 99%

Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease

Yang

Li²,

Bai³

et al. 2022

Front. Aging Neurosci.

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ObjectiveThe aim of this study was to investigate the correlations of plasma neurodegenerative proteins and electroencephalography (EEG) dynamic functional network (DFN) parameters with disease progression in early Parkinson’s disease (PD) with different motor subtypes, including tremor-dominant (TD) and postural instability and gait disorder (PIGD).MethodsIn our study, 33 patients with PD (21 TD and 12 PIGD) and 33 healthy controls (HCs) were enrolled. Plasma neurofilament light chain (NfL), α-synuclein (α-syn), total-tau (t-tau), β-amyloid 42 (Aβ42), and β-amyloid 40 (Aβ40) levels were measured using an ultrasensitive single-molecule array (Simoa) immunoassay. All the patients with PD underwent EEG quantified by DFN analysis. The motor and non-motor performances were evaluated by a series of clinical assessments. Subsequently, a correlation analysis of plasma biomarkers and EEG measures with clinical scales was conducted.ResultsIn the TD group, plasma NfL exhibited a significant association with MDS-UPDRS III and Montreal Cognitive Assessment (MoCA). A higher Aβ42/40 level was significantly related to a decrease in Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA) in the PIGD group. In terms of the correlation between EEG characteristic parameters and clinical outcomes, trapping time (TT) delta was positively correlated with MDS-UPDRS III and MoCA scores in the TD group, especially in the prefrontal and frontal regions. For other non-motor symptoms, there were significant direct associations of kPLI theta with HAMD and HAMA, especially in the prefrontal region, and kPLI gamma was particularly correlated with Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ) scores in the prefrontal, frontal, and parietal regions in the TD group. Furthermore, there was a significant positive correlation between plasma t-tau and kPLI, and pairwise correlations were found among plasma NfL, theta TT, and MoCA scores in the TD group.ConclusionThese results provide evidence that plasma neurodegenerative proteins and EEG measures have great potential in predicting the disease progression of PD subtypes, especially for the TD subtype. A combination of these two kinds of markers may have a superposition effect on monitoring and estimating the prognosis of PD subtypes and deserves further research in larger, follow-up PD cohorts.

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Theta and gamma connectivity is linked with affective and cognitive symptoms in Parkinson's disease

Cited by 13 publications

References 68 publications

The neuropsychiatry of Parkinson's disease: advances and challenges

The neuropsychiatry of Parkinson's disease: advances and challenges

Is frontoparietal electroencephalogram activity related to the level of functional disability in patients emerging from a minimally conscious state? A preliminary study

Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease

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