Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

Qiu, Yihui; Huang, Zhiheng; Gao, Yuyuan; Feng, Shujun; Huang, Biao; Wang, Wanyi; Xu, Qi-Huan; Zhao, Jing; Zhang, Yuhu; Wang, Limin; Nie, Kun

doi:10.1111/cns.13467

Cited by 19 publications

(22 citation statements)

References 46 publications

(47 reference statements)

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“…By analyzing the correlation between HAMA/HAMD scores and brain connection at the network level, we found a linear relationship between the HAMA score and the function connectivity strength of the SMN, DGN, and LBN; a similar result was obtained regarding the function connectivity strength of the SMN, DGN, and VAN. Previous studies have reached similar conclusions ( Hu et al, 2015 ; Liao et al, 2020 ; Qiu et al, 2021 ), and our findings provide guidance for further studies investigating early PD pathogenesis in drug-naïve patients.…”

Section: Discussionsupporting

confidence: 87%

Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson’s Disease

Zeng

Fan

Kong

et al. 2022

Front. Aging Neurosci.

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The aim of our study was to investigate differences in whole brain connectivity at different levels between drug-naïve individuals with early Parkinson’s disease (PD) and healthy controls (HCs). Resting-state functional magnetic resonance imaging data were collected from 47 patients with early-stage, drug-naïve PD and 50 HCs. Functional brain connectivity was analyzed at the integrity, network, and edge levels; UPDRS-III, MMSE, MOCA, HAMA, and HAMD scores, reflecting the symptoms of PD, were collected for further regression analysis. Compared with age-matched HCs, reduced functional connectivity were mainly observed in the visual (VSN), somatomotor (SMN), limbic (LBN), and deep gray matter networks (DGN) at integrity level [p < 0.05, false discovery rate (FDR) corrected]. Intra-network analysis indicated decreased functional connectivity in DGN, SMN, LBN, and ventral attention networks (VAN). Inter-network analysis indicated reduced functional connectivity in nine pairs of resting-state networks. At the edge level, the LBN was the center of abnormal functional connectivity (p < 0.05, FDR corrected). MOCA score was associated with the intra-network functional connectivity strength (FC) of the DGN, and inter-network FC of the DGN-VAN. HAMA and HAMD scores were associated with the FC of the SMN and DGN, and either the LBN or VAN, respectively. We demonstrated variations in whole brain connections of drug-naïve patients with early PD. Major changes involved the SMN, DGN, LBN, and VSN, which may be relevant to symptoms of early PD. Additionally, our results support PD as a disconnection syndrome.

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Section: Discussionsupporting

confidence: 87%

Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson’s Disease

Zeng

Fan

Kong

et al. 2022

Front. Aging Neurosci.

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“…Furthermore, our results found the altered connectivity within the VAN was mainly located in the left middle temporal cortex and observed a negative correlation between the connectivity values and depression severity in dPD patients. The middle temporal cortex is a crucial network hub for effective information transmission in the brain, in which the node topological properties and cortical thickness were correlated with depressive symptoms in different stages of PD (Hanganu et al, 2017;Qiu et al, 2021). We speculated that the early targets of the neuropathological damage in dPD tend to be highly interactive brain regions, worsening progressively with the course of the disease.…”

Section: Discussionmentioning

confidence: 99%

Altered Neural Network Connectivity Predicts Depression in de novo Parkinson’s Disease

Chen

Wang

et al. 2022

Front. Neurosci.

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BackgroundDepression, one of the most frequent non-motor symptoms in Parkinson’s disease (PD), was proposed to be related to neural network dysfunction in advanced PD patients. However, the underlying mechanisms in the early stage remain unclear. The study was aimed to explore the alterations of large-scale neural networks in de novo PD patients with depression.MethodsWe performed independent component analysis (ICA) on the data of resting-state functional magnetic resonance imaging from 21 de novo PD patients with depression (dPD), 34 de novo PD patients without depression (ndPD), and 43 healthy controls (HCs) to extract functional networks. Intranetwork and internetwork connectivity was calculated for comparison between groups, correlation analysis, and predicting the occurrence of depression in PD.ResultsWe observed an ordered decrease of connectivity among groups within the ventral attention network (VAN) (dPD < ndPD < HCs), mainly located in the left middle temporal cortex. Besides, dPD patients exhibited hypoconnectivity between the auditory network (AUD) and default mode network (DMN) or VAN compared to ndPD patients or healthy controls. Correlation analysis revealed that depression severity was negatively correlated with connectivity value within VAN and positively correlated with the connectivity value of AUD-VAN in dPD patients, respectively. Further analysis showed that the area under the curve (AUC) for dPD prediction was 0.863 when combining the intranetwork connectivity in VAN and internetwork connectivity in AUD-DMN and AUD-VAN.ConclusionOur results demonstrated that early dPD may be associated with abnormality of attention bias and especially auditory attention processing. Altered neural network connectivity is expected to be a potential neuroimaging biomarker to predict depression in PD.

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“…The thalamus is also critical to the regulation of emotion processing and the cingulate regions (i.e., ACC and MCC) are the bridges for the transmission of the information related to emotion [31]. The decreased activation within thalamus, as well as the reduced structural and functional connections of cingulate regions to thalamus, has been linked to the presence of DPD [12,[32][33][34]. The STG played an important role in the regulation of socioemotional function, and the alteration in this region (e.g., reduced FC) is observed in DPD [35,36].…”

Section: Discussionmentioning

confidence: 99%

The altered multiscale dynamics of spontaneous brain activity in depression with Parkinson’s disease

et al. 2022

Neurol Sci

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Background Depression is one typical mood disorder in Parkinson’s disease (DPD). The alterations in the resting-state brain activities are believed to be associated with DPD. These resting-state activities are regulated by neurophysiological components over multiple temporal scales. The multiscale dynamics of these spontaneous fluctuations are thus complex, but not well-characterized. Objective To characterize the complexity of the spontaneous blood-oxygen-level-dependent (BOLD) of fMRI in DPD. We hypothesized that (1) compared to non-depression PD (NDPD), the complexity in DPD would be lower; and (2) the diminished complexity would be associated with lower connections/communications between brain regions. Methods Twenty-nine participants (10 in DPD and 19 in NDPD) who were naïve to medications completed a resting-sate functional MRI scan. The BOLD complexity within each voxel was calculated by using multiscale entropy (MSE). The complexity of the whole brain and each of the 90 regions parcellated following automated-anatomical-labeling template was then obtained by averaging voxel-wised complexity across all brain regions or within each region. The level of connections of regions with diminished complexity was measured by their own global functional connectivity (FC). Results As compared to NDPD patients, the whole-brain complexity and complexity in 18 regions were significantly lower in DPD (F > 16.3, p < 0.0005). Particularly, in eight of the 18 regions, lower complexity was associated with lower global FC (Beta = 0.333 ~ 0.611, p = 0.000 ~ 0.030). Conclusion The results from this pilot study suggest that the resting-state BOLD complexity may provide critical knowledge into the pathology of DPD. Future studies are thus warranted to confirm the findings of this study.

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Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: A resting‐state functional magnetic resonance imaging study

Cited by 19 publications

References 46 publications

Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson’s Disease

Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson’s Disease

Altered Neural Network Connectivity Predicts Depression in de novo Parkinson’s Disease

The altered multiscale dynamics of spontaneous brain activity in depression with Parkinson’s disease

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