Regional homogeneity analysis of major Parkinson’s disease subtypes based on functional magnetic resonance imaging

Hu, Jun; Xiao, Chaoyong; Gong, Dawei; Qiu, Chen; Liu, Weiguo; Zhang, Wenbin

doi:10.1016/j.neulet.2019.05.013

Cited by 28 publications

(22 citation statements)

References 19 publications

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“…Abnormalities of grey matter (Goldman et al 2014), neuronal activity (Meppelink et al 2009), and nodal centralities (Luo et al 2015) in temporal-occipital regions have been reported in PD patients compared with HC, even before visual symptoms become clinically evident. Lower metabolism of the visual cortex was found in a different motor subtype of PD, suggesting that PD patients may control their motor symptoms through visual information (Hu et al 2019). Our results suggest that impaired visual processing might occur early, before the recognized visuospatial dysfunction in early-stage PD patients.…”

Section: Discussionmentioning

confidence: 60%

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Suo

Lei

et al. 2021

Brain Struct Funct

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While previous structural-covariance studies have an advanced understanding of brain alterations in Parkinson's disease (PD), brain–behavior relationships have not been examined at the individual level. This study investigated the topological organization of grey matter (GM) networks, their relation to disease severity, and their potential imaging diagnostic value in PD. Fifty-four early-stage PD patients and 54 healthy controls (HC) underwent structural T1-weighted magnetic resonance imaging. GM networks were constructed by estimating interregional similarity in the distributions of regional GM volume using the Kullback–Leibler divergence measure. Results were analyzed using graph theory and network-based statistics (NBS), and the relationship to disease severity was assessed. Exploratory support vector machine analyses were conducted to discriminate PD patients from HC and different motor subtypes. Compared with HC, GM networks in PD showed a higher clustering coefficient (P = 0.014) and local efficiency (P = 0.014). Locally, nodal centralities in PD were lower in postcentral gyrus and temporal-occipital regions, and higher in right superior frontal gyrus and left putamen. NBS analysis revealed decreased morphological connections in the sensorimotor and default mode networks and increased connections in the salience and frontoparietal networks in PD. Connection matrices and graph-based metrics allowed single-subject classification of PD and HC with significant accuracy of 73.1 and 72.7%, respectively, while graph-based metrics allowed single-subject classification of tremor-dominant and akinetic–rigid motor subtypes with significant accuracy of 67.0%. The topological organization of GM networks was disrupted in early-stage PD in a way that suggests greater segregation of information processing. There is potential for application to early imaging diagnosis.

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Section: Discussionmentioning

confidence: 60%

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Suo

Lei

et al. 2021

Brain Struct Funct

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“…TD have also shown more regional homogeneity (ReHo) alterations, a resting‐state analysis that examines synchronizations of temporal changes in BOLD signal, in the cerebellum, right para‐hippocampal gyrus, and CTC loops while PIGD showed increased ReHo values in areas involved in the STC loop including in the frontal, parietal, occipital, temporal, and limbic lobes, basal ganglia, and thalamus 78, 89 . Lastly, compared to AR, TD have shown lower voxel‐mirrored homotopic connectivity (VMHC) values, which denote synchrony in patterns of spontaneous rs‐fMRI activity, in the posterior lobe of the cerebellum 90 …”

Section: Resultsmentioning

confidence: 99%

Neuroimaging Detectable Differences between Parkinson's Disease Motor Subtypes: A Systematic Review

Boonstra

Michielse

Temel

et al. 2020

Movement Disord Clin Pract

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Background The neuroanatomical substrates of Parkinson's disease (PD) with tremor‐dominance (TD) and those with non‐tremor dominance (nTD), postural instability and gait difficulty (PIGD), and akinetic‐rigid (AR) are not fully differentiated. A better understanding of symptom specific pathoanatomical markers of PD subtypes may result in earlier diagnosis and more tailored treatment. Here, we aim to give an overview of the neuroimaging literature that compared PD motor subtypes. Methods A systematic literature review on neuroimaging studies of PD subtypes was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines. Search terms submitted to the PubMed database included: “Parkinson's disease”, “MRI” and “motor subtypes” (TD, nTD, PIGD, AR). The results are first discussed from macro to micro level of organization (i.e., (1) structural; (2) functional; and (3) molecular) and then by applied imaging methodology. Findings Several neuroimaging methods including diffusion imaging and positron emission tomography (PET) distinguish specific PD motor subtypes well, although findings are mixed. Furthermore, our review demonstrates that nTD‐PD patients have more severe neuroalterations compared to TD‐PD patients. More specifically, nTD‐PD patients have deficits within striato‐thalamo‐cortical (STC) circuitry and other thalamocortical projections related to cognitive and sensorimotor function, while TD‐PD patients tend to have greater cerebello‐thalamo‐cortical (CTC) circuitry dysfunction. Conclusions Based on the literature, STC and CTC circuitry deficits seem to be the key features of PD and the subtypes. Future research should make greater use of multimodal neuroimaging and techniques that have higher sensitivity in delineating subcortical structures involved in motor diseases.

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“…In the present study, both LPD and RPD patients displayed increased ReHo in the right temporal pole. Previous studies have also identified this area with abnormal ReHo in PD, but its clinical significance in PD has rarely been discussed [ 34 – 37 ]. Although the two groups had different patterns of asymmetry of motor symptoms, most of the patients had bilateral motor symptoms.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Side of Onset and Cerebral Regional Homogeneity in Parkinson’s Disease: A Resting-State fMRI Study

Zhao

et al. 2020

Parkinson's Disease

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Objective. Motor symptoms are usually asymmetric in Parkinson’s disease (PD), and asymmetry in PD may involve widespread brain areas. We sought to evaluate the effect of asymmetry on the whole brain spontaneous activity using the measure regional homogeneity (ReHo) through resting-state functional MRI. Methods. We recruited 30 PD patients with left onset (LPD), 27 with right side (RPD), and 32 controls with satisfactory data. Their demographic, clinical, and neuropsychological information were obtained. Resting-state functional MRI was performed, and ReHo was used to determine the brain activity. ANCOVA was utilized to analyze between-group differences in ReHo and the associations between abnormal ReHo, and various clinical and neuropsychological variables were explored by Spearman’s correlation. Results. LPD patients had higher ReHo in the right temporal pole than the controls. RPD patients had increased ReHo in the right temporal pole and decreased ReHo in the primary motor cortex and premotor area, compared with the controls. Directly comparing LPD and RPD patients did not show a significant difference in ReHo. ReHo of the right temporal pole was significantly correlated with depression and anxiety in RPD patients. Conclusions. Both LPD and RPD have increased brain activity synchronization in the right temporal pole, and only RPD has decreased brain activity synchronization in the right frontal motor areas. The changed brain activity in the right temporal pole may play a compensatory role for depression and anxiety in PD, and the altered cerebral function in the right frontal motor area in RPD may represent the reorganization of the motor system in RPD.

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Regional homogeneity analysis of major Parkinson’s disease subtypes based on functional magnetic resonance imaging

Cited by 28 publications

References 19 publications

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Disrupted morphological grey matter networks in early-stage Parkinson’s disease

Neuroimaging Detectable Differences between Parkinson's Disease Motor Subtypes: A Systematic Review

The Relationship between Side of Onset and Cerebral Regional Homogeneity in Parkinson’s Disease: A Resting-State fMRI Study

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