Dynamic functional connectivity changes in Parkinson’s disease patients with REM sleep behavior disorder

Gan, Caiting; Ma, Kewei; Wang, Lina; Si, Qianqian; Wang, Min; Yuan, Yongsheng; Zhang, Kezhong

doi:10.1016/j.brainres.2021.147477

Cited by 15 publications

(14 citation statements)

References 43 publications

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“…29,40 The presence of impaired functional segregation and disrupted global integration in PD subtypes could be delineated efficiently by exploring the alterations of dynamic connections among brain regions. [13][14][15] The identification of dynamic patterns within regional neuronal activity has been recently proposed, validated by prominent findings associated to pathological mechanism, and consequently denoted as complementary to time-varying properties. However, the time-varying characteristics of local neuronal activity in PD need further elucidation because only one report explored the temporal fluctuation of local neuronal activity in PD patients by using the dynamic amplitude of low-frequency fluctuations (ALFF).…”

Section: Discussionmentioning

confidence: 99%

“…11,12 Recent PD investigations have focused on dynamic functional connectivity patterns and large-scale networks and yielded convincing insights into disease severity, subcortical networks disruption, cognitive impairment, and sleep behavior disorder. [13][14][15] However, studies are lacking on the temporal signature of regional neural activity, known as the crucial component of brain function, in PD, and the validation of its differentiating performance between PD patients and healthy control (HC) individuals.…”

Section: Introductionmentioning

confidence: 99%

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Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson’s disease

Shang

et al. 2022

J Cereb Blood Flow Metab

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Pathological process in Parkinson’s disease (PD) is accompanied with functional and metabolic alterations. The time-varying properties of functional coherence and their coupling to regional perfusion are still rarely elucidated. To investigate early disruption of dynamic regional homogeneity (dReho) and neurovascular coupling in cognitively normal PD patients, dynamic neuronal synchronization and regional perfusion were measured using dReho and cerebral blood flow (CBF), respectively. Neurovascular coupling was assessed by CBF-ReHo correlation coefficient and CBF/ReHo ratio. Multivariate pattern analysis was conducted for the differentiating ability of each feature. Relative to healthy controls (HC) subjects, PD patients demonstrated increased dReho in middle temporal gyrus (MTG), rectus gyrus, middle occipital gyrus, and precuneus, whereas reduced dReho in putamen and supplementary motor area (SMA); while higher CBF/dReho ratio was located in putamen, SMA, paracentral lobule, and postcentral gyrus, whereas lower CBF/dReho ratio in superior temporal gyrus, MTG, precuneus, and angular gyrus (AG). Global and regional CBF-Reho decoupling were both observed in PD groups. The CBF/Reho ratio features achieved more powerful classification performance than other features. From the view of dynamic neural synchronization and neurovascular coupling, this study reinforced the insights into neural basis underlying PD and the potential role in the disease diagnosis and differentiation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson’s disease

Shang

et al. 2022

J Cereb Blood Flow Metab

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“…Low metastability suggests that information transmission flexibility is low, and the activity in patients is more rigid and less variable. The evidence suggested that PD and RBD stayed longer in a weakly connected state and tended to have a decreased number of transitions, indicating a sparsely connected brain network with a relative loss of brain dynamics [ 27 , 28 ]. The decrease of metastability was found in the study of mental diseases, which was related to the impairment of cognitive ability [ 15 , 16 ].…”

Section: Discussionmentioning

confidence: 99%

Impaired Brain Information Transmission Efficiency and Flexibility in Parkinson’s Disease and Rapid Eye Movement Sleep Behavior Disorder: Evidence from Functional Connectivity and Functional Dynamics

Wei

Lyu

Xiang

et al. 2022

Parkinson's Disease

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Parkinson's disease (PD) is a common neurodegenerative disorder. Rapid eye movement sleep behavior disorder (RBD) is one of the prodromal symptoms of PD. Studies have shown that brain information transmission is affected in PD patients. Consequently, we hypothesized that brain information transmission is impaired in RBD and PD. To prove our hypothesis, we performed functional connectivity (FC) and functional dynamics analysis of three aspects—based on the whole brain, within the resting-state network (RSN), and the interaction between RSNs—using normal control (NC) ( n = 21), RBD ( n = 24), and PD ( n = 45) resting-state functional magnetic resonance imaging (rs-fMRI) data sets. Furthermore, we tested the explanatory power of FC and functional dynamics for the clinical features. Our results found that the global functional dynamics and FC of RBD and PD were impaired. Within RSN, the impairment concentrated in the visual network (VIS) and sensorimotor network (SMN), and the impaired degree of SMN in RBD was higher than that in PD. On the interaction between RSNs, RBD showed a widespread decrease, and PD showed a focal decrease which concentrated in SMN and VIS. Finally, we proved FC and functional dynamics were related to clinical features. These differences confirmed that brain information transmission efficiency and flexibility are impaired in RBD and PD, and these impairments are associated with the clinical features of patients.

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“…Emerging evidence revealed that dynamic FC analysis can add sensitivity to the exploration of neural activity ( Keilholz, 2014 ) in conditions such as psychiatric disorders and neurodegenerative diseases ( Filippi et al, 2019 ; Bolton et al, 2020 ). Importantly, multiple studies have identified the temporal fluctuation of functional connectivity in PD and showed that dynamic properties were associated with the severity of motor symptoms ( Kim et al, 2017 ) and several non-motor symptoms, including cognitive function ( Fiorenzato et al, 2019 ), impulse control disorders ( Navalpotro-Gomez et al, 2020 ), and rapid eye movement sleep behavior disorder ( Gan et al, 2021 ). Furthermore, dynamic graph-theoretical analysis is a novel approach for providing quantified measures reflective of information or community organization over time ( Yu et al, 2015 ; Bolton et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Altered Dynamic Functional Connectivity in de novo Parkinson’s Disease Patients With Depression

Wang

et al. 2022

Front. Aging Neurosci.

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BackgroundDepression is one of the most prevalent and disturbing non-motor symptoms in Parkinson’s disease (PD), with few dynamic functional connectivity (dFC) features measured in previous studies. Our aim was to investigate the alterations of the dynamics in de novo patients with PD with depression (dPD).MethodsWe performed dFC analysis on the data of resting-state functional MRI from 21 de novo dPD, 34 de novo patients with PD without depression (ndPD), and 43 healthy controls (HCs). Group independent component analysis, a sliding window approach, followed by k-means clustering were conducted to assess functional connectivity states (which represented highly structured connectivity patterns reoccurring over time) and temporal properties for comparison between groups. We further performed dynamic graph-theoretical analysis to examine the variability of topological metrics.ResultsFour distinct functional connectivity states were clustered via dFC analysis. Compared to patients with ndPD and HCs, patients with dPD showed increased fractional time and mean dwell time in state 2, characterized by default mode network (DMN)-dominated and cognitive executive network (CEN)-disconnected patterns. Besides, compared to HCs, patients with dPD and patients with ndPD both showed weaker dynamic connectivity within the sensorimotor network (SMN) in state 4, a regionally densely connected state. We additionally observed that patients with dPD presented less variability in the local efficiency of the network.ConclusionsOur study demonstrated that altered network connection over time, mainly involving the DMN and CEN, with abnormal dynamic graph properties, may contribute to the presence of depression in patients with PD.

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Dynamic functional connectivity changes in Parkinson’s disease patients with REM sleep behavior disorder

Cited by 15 publications

References 43 publications

Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson’s disease

Early disturbance of dynamic synchronization and neurovascular coupling in cognitively normal Parkinson’s disease

Impaired Brain Information Transmission Efficiency and Flexibility in Parkinson’s Disease and Rapid Eye Movement Sleep Behavior Disorder: Evidence from Functional Connectivity and Functional Dynamics

Altered Dynamic Functional Connectivity in de novo Parkinson’s Disease Patients With Depression

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