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社区居住的老年人认知迁移的神经影像学和临床特征。

Neuroimaging and clinical characteristics of cognitive migration in community-dwelling older adults.

机构信息

Department of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

出版信息

Neuroimage Clin. 2022;36:103232. doi: 10.1016/j.nicl.2022.103232. Epub 2022 Oct 12.

Abstract

BACKGROUND

Multiple neuroimaging and clinical biomarkers have been identified to predict cognitive decline and clinical progression to mild cognitive impairment (MCI) or dementia. However, early biomarkers associated with transition to and reversion from cognitive impairment (cognitive migration) require further understanding. We investigated the impacts of baseline neuroimaging and clinical biomarkers on cognitive migration in a community-dwelling older cohort.

METHODS

We studied 391 participants from the Wake Forest Alzheimer's Disease Research Center Clinical Core cohort who underwent neuropsychological assessment and magnetic resonance imaging (MRI). At baseline, each participant was categorized to a functional/cognitive state using global Clinical Dementia Rating (CDR) score: CDR = 0 indicates normal cognitive function; CDR = 0.5 is minimal cognitive impairment. The primary outcome was cognitive migration status determined by CDR change between baseline and follow-up (mean difference = 13.9 months): CDR-0 Stables (no migration; maintained CDR = 0), CDR-0.5 Stables (no migration; maintained CDR = 0.5), Migrants (negative migration; CDR 0 to CDR 0.5), and Reverters (positive migration; CDR 0.5 to CDR 0). Baseline T1-weighted MRI was analyzed for gray matter (GM) volume using voxel-based morphometry (VBM). For VBM, we used a two-sample t-test controlling for age, sex, education years and intracranial volume for group comparisons: CDR-0 Stables vs CDR-0.5 Stables, CDR-0 Stables vs Migrants, CDR-0.5 Stables vs Reverters and Migrants vs Reverters (thresholded at k = 30 voxels, p <.01 uncorrected). Oral Glucose Tolerance Testing (OGTT-2h) assessed blood glucose 120-minute post challenge. Multinomial logistic regression estimated average predicted probabilities of cognitive migration status using OGTT-2h and age range (55-65, 65-75 and 75+) as predictors.

RESULTS

VBM analyses revealed lower GM volume in inferior and middle temporal gyri, hippocampus, parahippocampal gyrus, and superior and inferior frontal regions in Migrants and CDR-0.5 Stables. Predicted probabilities indicated that individuals aged 55-65 with normal OGTT-2h levels were more likely to have better cognitive migration status (e.g., CDR-0 Stables or Reverters) than those aged 75+ with high OGTT-2h.

CONCLUSIONS

Lower GM volumes and high OGTT-2h glucose levels may predict worse cognitive migration status in early stages of disease. The opposite is true for better cognitive migration. Validating these biomarkers may guide clinical diagnosis and treatments.

摘要

背景

已经有多种神经影像学和临床生物标志物被确定可用于预测认知能力下降和向轻度认知障碍(MCI)或痴呆的临床进展。然而,与认知障碍(认知迁移)转变和恢复相关的早期生物标志物仍需要进一步研究。本研究旨在调查社区居住的老年队列中基线神经影像学和临床生物标志物对认知迁移的影响。

方法

我们研究了来自威克森林大学阿尔茨海默病研究中心临床核心队列的 391 名参与者,他们接受了神经心理学评估和磁共振成像(MRI)检查。在基线时,根据全球临床痴呆评定量表(CDR)评分将每位参与者分为功能/认知状态:CDR=0 表示认知功能正常;CDR=0.5 表示轻度认知障碍。主要结局是根据基线和随访期间 CDR 变化确定的认知迁移状态(平均差异=13.9 个月):CDR-0 稳定(无迁移;保持 CDR=0)、CDR-0.5 稳定(无迁移;保持 CDR=0.5)、迁移者(负迁移;CDR 从 0 变为 CDR 0.5)和恢复者(正迁移;CDR 从 0.5 变为 CDR 0)。使用基于体素的形态测量学(VBM)分析 T1 加权 MRI 的灰质(GM)体积。对于 VBM,我们使用双样本 t 检验控制年龄、性别、教育年限和颅内体积进行组间比较:CDR-0 稳定与 CDR-0.5 稳定、CDR-0 稳定与迁移者、CDR-0.5 稳定与恢复者和迁移者与恢复者(阈值为 k=30 个体素,p<.01 未校正)。口服葡萄糖耐量试验(OGTT-2h)评估挑战后 120 分钟的血糖水平。使用 OGTT-2h 和年龄范围(55-65、65-75 和 75+)作为预测因子,使用多项逻辑回归估计认知迁移状态的平均预测概率。

结果

VBM 分析显示,在迁移者和 CDR-0.5 稳定者中,下颞叶、海马体、海马旁回和额上回和额下回的 GM 体积较低。预测概率表明,OGTT-2h 水平正常的 55-65 岁个体比 75+岁个体具有更好的认知迁移状态(例如 CDR-0 稳定或恢复者)的可能性更高。

结论

较低的 GM 体积和较高的 OGTT-2h 血糖水平可能预示着疾病早期认知迁移状态较差。相反,OGTT-2h 水平正常的个体比血糖水平高的个体具有更好的认知迁移状态的可能性更高。验证这些生物标志物可能有助于指导临床诊断和治疗。

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