Berenson-Allen Center for Noninvasive Brain Stimulation, Division of Cognitive Neurology, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
J Alzheimers Dis. 2018;65(4):1301-1312. doi: 10.3233/JAD-180570.
Alzheimer's disease (AD) and type 2 diabetes (T2DM) are common causes of cognitive decline among older adults and share strong epidemiological links. Distinct patterns of cortical atrophy are observed in AD and T2DM, but robust comparisons between structure-function relationships across these two disease states are lacking.
To compare how atrophy within distributed brain networks is related to cognition across the spectrum of cognitive aging.
The relationship between structural MRI changes and cognition was studied in 22 mild-to-moderate AD, 28 T2DM, and 27 healthy participants. Cortical thickness measurements were obtained from networks of interest (NOIs) matching the limbic, default, and frontoparietal resting-state networks. Composite cognitive scores capturing domains of global cognition, memory, and executive function were created. Associations between cognitive scores and the NOIs were assessed using linear regression, with age as a covariate. Within-network General Linear Model (GLM) analysis was run in Freesurfer 6.0 to visualize differences in patterns of cortical atrophy related to cognitive function in each group. A secondary analysis examined hemispheric differences in each group.
Across all groups, cortical atrophy within the limbic NOI was significantly correlated with Global Cognition (p = 0.009) and Memory Composite (p = 0.002). Within-network GLM analysis and hemispheric analysis revealed qualitatively different patterns of atrophy contributing to cognitive dysfunction between AD and T2DM.
Brain network atrophy is related to cognitive function across AD, T2DM, and healthy participants. Differences in cortical atrophy patterns were seen between AD and T2DM, highlighting neuropathological differences.
阿尔茨海默病（AD）和 2 型糖尿病（T2DM）是老年人认知能力下降的常见原因，并且具有很强的流行病学联系。在 AD 和 T2DM 中观察到明显不同的皮质萎缩模式，但在这两种疾病状态下，结构-功能关系的有力比较却缺乏。
比较在认知老化的整个范围内，大脑网络内的萎缩与认知之间的关系。
在 22 名轻度至中度 AD、28 名 T2DM 和 27 名健康参与者中，研究了结构 MRI 变化与认知之间的关系。从与边缘、默认和额顶叶静息态网络相匹配的感兴趣网络（NOI）中获得皮质厚度测量值。创建了包含整体认知、记忆和执行功能领域的综合认知评分。使用线性回归评估认知评分与 NOI 之间的关联，以年龄为协变量。在 Freesurfer 6.0 中运行网络内的一般线性模型（GLM）分析，以可视化与每组认知功能相关的皮质萎缩模式的差异。二次分析检查了每组的半球差异。
在所有组中，边缘 NOI 内的皮质萎缩与整体认知（p = 0.009）和记忆综合评分（p = 0.002）显著相关。网络内 GLM 分析和半球分析揭示了 AD 和 T2DM 之间导致认知功能障碍的皮质萎缩模式存在定性差异。
大脑网络萎缩与 AD、T2DM 和健康参与者的认知功能相关。在 AD 和 T2DM 之间观察到皮质萎缩模式的差异，突出了神经病理学的差异。
