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帕金森病运动亚型在辅助运动区的灰质体积差异

Grey matter volume differences across Parkinson's disease motor subtypes in the supplementary motor cortex.

作者信息

Martin A, Nassif J, Chaluvadi L, Schammel C, Newman-Norlund R, Bollmann S, Absher J

机构信息

College of Arts and Sciences, University of South Carolina, Columbia, SC, USA.

Darla Moore School of Business, University of South Carolina, Columbia, SC, USA.

出版信息

Neuroimage Clin. 2025;45:103724. doi: 10.1016/j.nicl.2024.103724. Epub 2024 Dec 10.

Abstract

Parkinson's Disease (PD) is the second most prevalent neurodegenerative disease worldwide due to loss of dopaminergic neurons projecting from the basal ganglia (BG). It is associated with various motor symptoms that are grouped into subtypes, each with different clinical presentations and disease progressions. Neuroimaging biomarkers focusing on regions a part of motor circuits projecting from the BG can distinguish and improve overall subtyping. The supplementary motor cortex (SMC) is well established in PD neuropathology and associated with freezing of gait and bradykinesia, but has not been thoroughly evaluated across subtypes. This study aims to identify volumetric differences of the SMC based on PD subtypes of tremor dominant (TD), postural instability with gait difficulty (PIGD), and akinetic rigid (AR) using data from Parkinson's Progression Markers Initiative. To segment grey matter volume and extract region of interest values, voxel-based processing was used. Multi-factor ANCOVAs, Tukey Honest Significance Test, and Kruskal-Wallis were utilized for volumetric analyses (α < 0.05). Subjects were classified and evaluated using TD, PIGD, and AR subtypes from the MDS-UPDRS rating scales. Inter-subtype differences in SMC GMV between TD and PIGD were significant in the right hemisphere for females (p = 0.01). No significant inter-subtype differences were found in the TD/AR system. These results support the use of broader motor networks, specifically the SMC in further understanding the neuropathological heterogeneity of PD. Furthermore, it reveals SMC differences across sexes, subtypes, and subtyping systems, calling for further evaluation of subtyping schemas, specifically regarding sex differences.

摘要

帕金森病(PD)是全球第二常见的神经退行性疾病,病因是基底神经节(BG)投射的多巴胺能神经元丧失。它与各种运动症状相关,这些症状被分为不同亚型,每个亚型都有不同的临床表现和疾病进展。聚焦于从BG投射的运动回路一部分区域的神经影像学生物标志物可以区分并改善整体亚型分类。辅助运动皮层(SMC)在PD神经病理学中已得到充分证实,与步态冻结和运动迟缓相关,但尚未在各亚型中进行全面评估。本研究旨在利用帕金森病进展标志物倡议组织的数据,基于震颤为主型(TD)、姿势不稳伴步态障碍型(PIGD)和运动不能-强直型(AR)的PD亚型,确定SMC的体积差异。为了分割灰质体积并提取感兴趣区域的值,采用了基于体素的处理方法。多因素协方差分析、图基诚实显著性检验和克鲁斯卡尔-沃利斯检验用于体积分析(α<0.05)。使用MDS-UPDRS评定量表的TD、PIGD和AR亚型对受试者进行分类和评估。女性右半球TD和PIGD之间的SMC灰质体积存在显著的亚型间差异(p=0.01)。在TD/AR系统中未发现显著的亚型间差异。这些结果支持使用更广泛的运动网络,特别是SMC,以进一步了解PD的神经病理异质性。此外,它揭示了SMC在性别、亚型和亚型分类系统之间的差异,呼吁进一步评估亚型分类模式,特别是关于性别差异。

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