Voxel-based morphometry of grey matter structures in Parkinson’s Disease with wearing-off

Zhai, Heng; Fan, Wenliang; Xiao, Yan; Zhu, Zhipeng; Ding, Ying; He, Chentao; Zhang, Wei; Xu, Yan; Zhang, Yuhu

doi:10.1007/s11682-023-00793-3

Cited by 4 publications

(2 citation statements)

References 52 publications

(60 reference statements)

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“…28,29 The technique's sensitivity to subtle and diffuse structural alterations is pivotal in delineating the neurodegenerative trajectory of such conditions. 30 Although our study was constrained by a modest sample size, the observed GMV changes in the FG and ITG are noteworthy and consistent with the anticipated neuroanatomical patterns in A-PD. It is important to acknowledge the intrinsic limitations of VBM, which include a lack of discernment between cortical thinning and alterations in surface area, as well as an absence of assessment regarding WM integrity.…”

Section: Advantages and Limitations Of Vbm In Pd Assessmentsupporting

confidence: 78%

Gray matter volume alterations in de novo Parkinson's disease: A mediational role in the interplay between sleep quality and anxiety

He,

Huang,

Sun

et al. 2024

CNS Neurosci Ther

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ObjectiveParkinson's disease (PD) is increasingly recognized for its non‐motor symptoms, among which emotional disturbances and sleep disorders frequently co‐occur. The commonality of neuroanatomical underpinnings for these symptoms is not fully understood. This study is intended to investigate the differences in gray matter volume (GMV) between PD patients with anxiety (A‐PD) and those without anxiety (NA‐PD). Additionally, it seeks to uncover the interplay between GMV variations and the manifestations of anxiety and sleep quality.MethodsA total of 37 A‐PD patients, 43 NA‐PD patients, and 36 healthy controls (HCs) were recruited, all of whom underwent voxel‐based morphometry (VBM) analysis. Group differences in GMV were assessed using analysis of covariance (ANCOVA). Partial correlation between GMV, anxiety symptom, and sleep quality were analyzed. Mediation analysis explored the mediating role of the volume of GMV‐distinct brain regions on the relationship between sleep quality and anxiety within the PD patient cohort.ResultsA‐PD patients showed significantly lower GMV in the fusiform gyrus (FG) and right inferior temporal gyrus (ITG) compared to HCs and NA‐PD patients. GMV in these regions correlated negatively with Hamilton Anxiety Rating Scale (HAMA) scores (right ITG: r = −0.690, p < 0.001; left FG: r = −0.509, p < 0.001; right FG: r = −0.576, p < 0.001) and positively with sleep quality in PD patients (right ITG: r = 0.592, p < 0.001; left FG: r = 0.356, p = 0.001; right FG: r = 0.470, p < 0.001). Mediation analysis revealed that GMV in the FG and right ITG mediated the relationship between sleep quality and anxiety symptoms, with substantial effect sizes accounted for by the right ITG (25.74%) and FG (left: 11.90%, right: 15.59%).ConclusionThis study has shed further light on the relationship between sleep disturbances and anxiety symptoms in PD patients. Given the pivotal roles of the FG and the ITG in facial recognition and the recognition of emotion‐related facial expressions, our findings indicate that compromised sleep quality, under the pathological conditions of PD, may exacerbate the reduction in GMV within these regions, impairing the recognition of emotional facial expressions and thereby intensifying anxiety symptoms.

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Section: Advantages and Limitations Of Vbm In Pd Assessmentsupporting

confidence: 78%

Gray matter volume alterations in de novo Parkinson's disease: A mediational role in the interplay between sleep quality and anxiety

He,

Huang,

Sun

et al. 2024

CNS Neurosci Ther

View full text Add to dashboard Cite

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“…Asymmetry Voxel-Based Morphometry (VBM) allows for the calculation of the asymmetry index (AI), which quantifies the asymmetry in gray matter volume between the hemispheres. 21 Although numerous studies using VBM have identified gray matter volume reduction in PD, [22][23][24] research into the asymmetry of gray matter volume between the cerebral hemispheres in PD remains limited.…”

Section: Introductionmentioning

confidence: 99%

Exploring brain asymmetry in early‐stage Parkinson's disease through functional and structural MRI

Liu,

Yuan,

Tan

et al. 2024

CNS Neurosci Ther

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ObjectiveThis study explores the correlation between asymmetrical brain functional activity, gray matter asymmetry, and the severity of early‐stage Parkinson's disease (PD).MethodsNinety‐three early‐stage PD patients (ePD, H‐Y stages 1–2.5) were recruited, divided into 47 mild (ePD‐mild, H‐Y stages 1–1.5) and 46 moderate (ePD‐moderate, H‐Y stages 2–2.5) cases, alongside 43 matched healthy controls (HCs). The study employed the Hoehn and Yahr (H‐Y) staging system for disease severity assessment and utilized voxel‐mirrored homotopic connectivity (VMHC) for analyzing brain functional activity asymmetry. Asymmetry voxel‐based morphometry analysis (VBM) was applied to evaluate gray matter asymmetry.ResultsThe study found that, relative to HCs, both PD subgroups demonstrated reduced VMHC values in regions including the amygdala, putamen, inferior and middle temporal gyrus, and cerebellum Crus I. The ePD‐moderate group also showed decreased VMHC in additional regions such as the postcentral gyrus, lingual gyrus, and superior frontal gyrus, with notably lower VMHC in the superior frontal gyrus compared to the ePD‐mild group. A negative correlation was observed between the mean VMHC values in the superior frontal gyrus and H‐Y stages, UPDRS, and UPDRS‐III scores. No significant asymmetry in gray matter was detected.ConclusionsAsymmetrical brain functional activity is a significant characteristic of PD, which exacerbates as the disease severity increases, resembling the dissemination of Lewy bodies across the PD neurological framework. VMHC emerges as a potent tool for characterizing disease severity in early‐stage PD.

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A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques

Priyadharshini,

Ramkumar,

Vairavasundaram

et al. 2024

Alexandria Engineering Journal

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Voxel-based morphometry of grey matter structures in Parkinson’s Disease with wearing-off

Cited by 4 publications

References 52 publications

Gray matter volume alterations in de novo Parkinson's disease: A mediational role in the interplay between sleep quality and anxiety

Gray matter volume alterations in de novo Parkinson's disease: A mediational role in the interplay between sleep quality and anxiety

Exploring brain asymmetry in early‐stage Parkinson's disease through functional and structural MRI

A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques

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