Networks Are Associated With Depression in Patients With Parkinson’s Disease: A Resting-State Imaging Study

Liao, Haiyan; Cai, Sainan; Shen, Qin; Fan, Jie; Wang, Tianyu; Zi, Yuheng; Mao, Zhenni; Situ, Weijun; Li, Jun; Zou, Ting; Yi, Jinyao; Lee, Seonjoo; Tan, Chongqing

doi:10.3389/fnins.2020.573538

Cited by 22 publications

(18 citation statements)

References 51 publications

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“…Each person's fMR work data gets a KCC image, that is, a ReHo image. Divide the ReHo value of each voxel of the whole brain by the mean value of the ReHo value of all voxels in the whole brain to obtain a standardized ReHo graph, and then perform Gaussian smoothing on the normalized ReHo graph with a Gaussian parameter, after smoothing obtaining standardized ReHo graph enters the next step of statistics [ 19 ]. The calculation formula of KCC is as follows:

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Section: Data Processingmentioning

confidence: 99%

Analysis of Brain Activity Changes in Patients with Parkinson’s Disease Based on Resting-State Functional Magnetic Resonance Imaging

Shen

2022

Journal of Healthcare Engineering

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This paper uses resting-state functional magnetic resonance imaging to observe the changes in local consistency of brain activity in patients with Parkinson’s disease (PD). Both healthy volunteers and Parkinson’s disease patients were scanned for resting brain functional imaging, and the collected raw data were processed using resting functional magnetic resonance data processing toolkit software. This study adopted the use of Regional Homogeneity (ReHo). The postprocessing method of RS-fMRI is to study the spontaneous brain activity changes of patients with Parkinson’s disease and cognitive impairment and to explore the changes in the function of their brain regions in the hope of providing help for the treatment of Parkinson’s disease cognitive impairment. The results showed that, compared with the normal control group, the brain regions with increased ReHo values in the PD group were the right central anterior gyrus, the right lingual gyrus, the left middle occipital gyrus, and the bilateral anterior cuneiform lobes. The results show that PD patients have abnormal brain nerve activities in the resting state, and these abnormal brain nerve activities may be related to PD cognitive and behavioral dysfunction.

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Section: Data Processingmentioning

confidence: 99%

Analysis of Brain Activity Changes in Patients with Parkinson’s Disease Based on Resting-State Functional Magnetic Resonance Imaging

Shen

2022

Journal of Healthcare Engineering

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“…As we all know, the brain is a complex system with multiple functional brain networks. Moreover, brain regions and networks do not function independently ( Liao et al, 2020 ). However, previous research has mainly focused on few priori brain networks and little attention has been paid to the interaction between brain networks.…”

Section: Introductionmentioning

confidence: 99%

Networks Are Associated With Acupuncture Treatment in Patients With Diarrhea-Predominant Irritable Bowel Syndrome: A Resting-State Imaging Study

Zhao

Pei

Ning

et al. 2021

Front. Hum. Neurosci.

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Background: Irritable Bowel Syndrome (IBS), as a functional gastrointestinal disorder, is characterized by abdominal pain and distension. Recent studies have shown that acupuncture treatment improves symptoms of diarrhea-predominant irritable bowel syndrome (IBS-D) by altering networks in certain brain regions. However, few studies have used resting-state functional magnetic resonance imaging (fMRI) to compare altered resting-state inter-network functional connectivity in IBS-D patients before and after acupuncture treatment.Objective: To analyze altered resting-state inter-network functional connectivity in IBS-D patients before and after acupuncture treatment.Methods: A total of 74 patients with IBS-D and 31 healthy controls (HCs) were recruited for this study. fMRI examination was performed in patients with IBS-D before and after acupuncture treatment, but only at baseline in HCs. Data on the left frontoparietal network (LFPN), default mode network (DMN), salience network (SN), ventral attention network (VAN), auditory network (AN), visual network (VN), sensorimotor network (SMN), dorsal attention network (DAN), and right frontoparietal network (RFPN) were subjected to independent component analysis (ICA). The functional connectivity values of inter-network were explored.Results: Acupuncture decreased irritable bowel syndrome symptom severity score (IBS-SSS) and Hamilton Anxiety Scale (HAMA). It also ameliorated symptoms related to IBS-D. Notably, functional connectivity between AN and VAN, SMN and DMN, RFPN and VAN in IBS-D patients after acupuncture treatment was different from that in HCs. Furthermore, there were differences in functional connectivity between DMN and DAN, DAN and LFPN, DMN and VAN before and after acupuncture treatment. The inter-network changes in DMN-VAN were positively correlated with changes in HAMA, life influence degree, and IBS-SSS in IBS-D.Conclusion: Altered inter-network functional connectivity is involved in several important hubs in large-scale networks. These networks are altered by acupuncture stimulation in patients with IBS-D.

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“…Indeed, prior studies had proved that the DMN was implicated in numerous neurological and psychiatric disorders ( Buckner et al, 2008 ; Leech and Sharp, 2014 ). Studies covering regional cerebral activity, functional connectivity, and large-scale network analysis have demonstrated that the DMN may facilitate the occurrence of depressive symptoms in PD ( Luo et al, 2014 ; Wei et al, 2017 ; Liao et al, 2020 ). Sheline and colleagues found that failure to down-regulate activity within the DMN normally may result in dysregulation of automatic emotional processing, ultimately leading to depression ( Sheline et al, 2009 ; Belzung et al, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…Functional connectivity (FC) studies demonstrated that abnormal FC between the prefrontal and limbic regions may lead to emotional dysregulation in PD ( Luo et al, 2014 ; Hu et al, 2015 ; Huang et al, 2015 ). Recently, more studies focused on large-scale neural networks analysis and found that patients with dPD showed altered intra- and inter-network connectivity, with the involvement of the cognitive executive network (CEN), default mode network (DMN), and basal ganglia network (BGN) ( Wei et al, 2017 ; Liao et al, 2020 ; Lin et al, 2020 ). However, most studies were based on the assumption that neural activity remained stationary over the entire scanning, overlooking the time-varying characteristics of functional activation ( Chang and Glover, 2010 ).…”

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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Networks Are Associated With Depression in Patients With Parkinson’s Disease: A Resting-State Imaging Study

Cited by 22 publications

References 51 publications

Analysis of Brain Activity Changes in Patients with Parkinson’s Disease Based on Resting-State Functional Magnetic Resonance Imaging

Analysis of Brain Activity Changes in Patients with Parkinson’s Disease Based on Resting-State Functional Magnetic Resonance Imaging

Networks Are Associated With Acupuncture Treatment in Patients With Diarrhea-Predominant Irritable Bowel Syndrome: A Resting-State Imaging Study

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

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