首页出版说明中文期刊中文图书环宇英文官网付款页面

基于表面的形态学测量方法在神经退行性疾病中的研究进展

张 树贤, 郝 璐*
新疆医科大学第二附属医院 医学影像中心 乌鲁木齐 830000

摘要


摘要:基于表面形态学测量方法(surface-basedmorphometry,SBM)是一种MRI分析方法,通过对脑结构磁共振影像(Structuralmagneticresonanceimaging,sMRI)数据进行一系列计算,最终获得目标脑区的皮层灰质信息,包括厚度(Corticalthickness,CT)、脑沟深度(Sulcaldepth,SD)、沟回指数(Gydficationindex,GI)、分形维数(Fractaldimension,FD)等大脑表面形态学的量化参数。这些参数可以反映生理病理状态下大脑皮质形态的细微改变,为医生和科研人员提供一个简便直观的途径,更好了解大脑正常神经生物学过程及疾病发生发展过程中的脑皮质形态变化。本文意在介绍SBM,并综述其在神经退行性疾病中的研究现状。

关键词


关键词:SBM;神经退行性疾病;基于表面的形态学测量方法

全文:

PDF


参考


[1]GOTO M, ABE O, HAGIWARA A, et al. Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications [J]. Magnetic Resonance in Medical Sciences, 2022, 21(1): 41-57.[2]SHENG L, ZHAO P, MA H, et al. Cortical thickness in Parkinson's disease: a coordinate-based meta-analysis [J]. Aging (Albany NY), 2021, 13(3): 4007-23.[3]POPESCU V, KLAVER R, VERSTEEG A, et al. Postmortem validation of MRI cortical volume measurements in MS [J]. Human Brain Mapping, 2016, 37(6): 2223-33.[4]CARDINALE F, CHINNICI G, BRAMERIO M, et al. Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements [J]. Neuroinformatics, 2014, 12(4): 535-42.[5]SEIGER R, GANGER S, KRANZ G S, et al. Cortical Thickness Estimations of FreeSurfer and the CAT12 Toolbox in Patients with Alzheimer's Disease and Healthy Controls [J]. J Neuroimaging, 2018, 28(5): 515-23.[6]CLARKSON M J, CARDOSO M J, RIDGWAY G R, et al. A comparison of voxel and surface based cortical thickness estimation methods [J]. Neuroimage, 2011, 57(3): 856-65.[7]YUN H J, IM K, JIN-JU Y, et al. Automated sulcal depth measurement on cortical surface reflecting geometrical properties of sulci [J]. PLoS One, 2013, 8(2): e55977.[8]GREGORY M D, KIPPENHAN J S, DICKINSON D, et al. Regional Variations in Brain Gyrification Are Associated with General Cognitive Ability in Humans [J]. Curr Biol, 2016, 26(10): 1301-5.[9]YUAN H, LI H, MU J, et al. Reduced cortical complexity in patients with end-stage kidney disease prior to dialysis initiation [J]. Front Neurosci, 2022, 16: 971010.[10]WINKLER A M, KOCHUNOV P, BLANGERO J, et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies [J]. Neuroimage, 2010, 53(3): 1135-46.[11]YOUNG P N E, ESTARELLAS M, COOMANS E, et al. Imaging biomarkers in neurodegeneration: current and future practices [J]. Alzheimers Res Ther, 2020, 12(1): 49.[12]BRAAK H, BRAAK E. Neuropathological stageing of Alzheimer-related changes [J]. Acta Neuropathol, 1991, 82(4): 239-59.[13]SCHMITTER D, ROCHE A, MARECHAL B, et al. An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease [J]. Neuroimage Clin, 2015, 7: 7-17.[14]E M A, K S A, A S M. Advanced Diagnostic Technique for Alzheimer's Disease using MRI Top-Ranked Volume and Surface-based Features [J]. J Biomed Phys Eng, 2022, 12(6): 569-82.[15]WU Z, PENG Y, HONG M, et al. Gray Matter Deterioration Pattern During Alzheimer's Disease Progression: A Regions-of-Interest Based Surface Morphometry Study [J]. Front Aging Neurosci, 2021, 13: 593898.[16]BACHMANN T, SCHROETER M L, CHEN K, et al. Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer's Disease [J]. Neuroimage Clin, 2023, 38: 103371.[17]COLEMAN M M, KEITH C M, WILHELMSEN K, et al. Surface-based correlates of cognition along the Alzheimer's continuum in a memory clinic population [J]. Front Neurol, 2023, 14: 1214083.[18]MA Z, JING B, LI Y, et al. Identifying Mild Cognitive Impairment with Random Forest by Integrating Multiple MRI Morphological Metrics [J]. J Alzheimers Dis, 2020, 73(3): 991-1002.[19]WILSON H, NICCOLINI F, PELLICANO C, et al. Cortical thinning across Parkinson's disease stages and clinical correlates [J]. J Neurol Sci, 2019, 398: 31-8.[20]JIN K, ZHANG T, SHAW M, et al. Relationship Between Sulcal Characteristics and Brain Aging [J]. Front Aging Neurosci, 2018, 10: 339.[21]WANG E, JIA Y, YA Y, et al. Patterns of Sulcal depth and cortical thickness in Parkinson's disease [J]. Brain Imaging Behav, 2021, 15(5): 2340-6.[22]BRAAK H, DEL TREDICI K, RUB U, et al. Staging of brain pathology related to sporadic Parkinson's disease [J]. Neurobiol Aging, 2003, 24(2): 197-211.[23]LI J, ZHANG Y, HUANG Z, et al. Cortical and subcortical morphological alterations in motor subtypes of Parkinson's disease [J]. NPJ Parkinsons Dis, 2022, 8(1): 167.[24]TANG X, ZHANG Y, LIU D, et al. Association of Gyrification Pattern, White Matter Changes, and Phenotypic Profile in Patients With Parkinson Disease [J]. Neurology, 2021, 96(19): e2387-e94.[25]JIANG A, HANDLEY R R, LEHNERT K, et al. From Pathogenesis to Therapeutics: A Review of 150 Years of Huntington's Disease Research [J]. Int J Mol Sci, 2023, 24(16).[26]CIAROCHI J A, CALHOUN V D, LOURENS S, et al. Patterns of Co-Occurring Gray Matter Concentration Loss across the Huntington Disease Prodrome [J]. Front Neurol, 2016, 7: 147.[27]ROSAS H D, SALAT D H, LEE S Y, et al. Cerebral cortex and the clinical expression of Huntington's disease: complexity and heterogeneity [J]. Brain, 2008, 131(Pt 4): 1057-68.




DOI: http://dx.doi.org/10.12361/2661-3603-05-20-147864

Refbacks

  • 当前没有refback。