School of Science, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, People's Republic of China.
Aging Clin Exp Res. 2021 Feb;33(2):367-381. doi: 10.1007/s40520-020-01539-7. Epub 2020 Apr 10.
The disease roots of Alzheimer's disease (AD) are unknown. Functional connection (FC) methodology based on functional MRI data is an effective lever to investigate macroscopic neural activity patterns. However, regional properties of brain architecture have been less investigated by special markers of graph indexes in general mental disorders. In terms of the set of the abnormal edges in the FCs matrix, this paper introduces the strength index (S-scores) of region centrality on the principle of holism. Then, the important process is to investigate the S-scores of regions and subsystems in 36 healthy controls, 38 mild cognitive impairment (MCI) patients and 34 AD patients. At the edge level, abnormal FCs is numerically increasing progressively from MCI to AD brains. At the region level, the CUN.L, PAL.R, THA.L, and TPOsup.R regions are highlighted with abnormal S-scores in MCI patients. By comparison, more regions are abnormal in AD patients, which are PreCG.L, INS.R, DCG.L, AMYG.R, IOG.R, FFG.L, PoCG.L, PCUN.R, TPOsup.L, MTG.L, and TPOmid.L. Importantly, the regions in DMN have abnormal S-scores in AD groups. At the module level, the S-scores of frontal, parietal, occipital lobe, and cerebellum are found in MCI and AD patients. Meanwhile, the abnormal lateralization is inferred because of the S-scores of left and top hemisphere in the AD group. Though this is strictly a contrastive study, the S-score may be a meaningful imaging marker for excavating AD psychopathology.
阿尔茨海默病(AD)的发病机制尚不清楚。基于功能磁共振成像(fMRI)数据的功能连接(FC)方法是研究宏观神经活动模式的有效手段。然而,一般精神障碍的图指标很少用于研究大脑结构的区域属性。在 FC 矩阵的异常边集合中,本文基于整体论原理引入了区域中心性的强度指数(S 分数)。然后,重要的过程是研究 36 名健康对照者、38 名轻度认知障碍(MCI)患者和 34 名 AD 患者的区域和子系统的 S 分数。在边缘水平上,从 MCI 到 AD 大脑,异常 FC 呈数值递增趋势。在区域水平上,MCI 患者的 CUN.L、PAL.R、THA.L 和 TPOsup.R 区域的 S 分数异常。相比之下,AD 患者的异常区域更多,包括 PreCG.L、INS.R、DCG.L、AMYG.R、IOG.R、FFG.L、PoCG.L、PCUN.R、TPOsup.L、MTG.L 和 TPOmid.L。重要的是,AD 组的默认模式网络(DMN)区域的 S 分数异常。在模块水平上,MCI 和 AD 患者的额叶、顶叶、枕叶和小脑的 S 分数异常。同时,由于 AD 组的左半球和上半球的 S 分数,推断出异常的偏侧化。虽然这是一项严格的对比研究,但 S 分数可能是挖掘 AD 精神病理学的有意义的影像学标志物。