Carmichael Owen, McLaren Donald G, Tommet Douglas, Mungas Dan, Jones Richard N
Department of Neurology, University of California, Davis, CA, USA.
Geriatric Research Education and Clinical Center, ENRM Veterans Hospital, Bedford, MA, USA; Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA.
Neuroimage. 2013 Feb 1;66:449-56. doi: 10.1016/j.neuroimage.2012.10.029. Epub 2012 Oct 24.
Network accounts of the progression of Alzheimer's disease (AD), based on cross-sectional brain imaging observations, postulate that the biological course of the disease is characterized by coordinated spatial patterns of brain change to distributed cognitive networks. This study tests this conjecture by quantifying inter-regional covariance in cortical gray matter atrophy rates in 317 Alzheimer's Disease Neuroimaging Initiative participants who were clinically diagnosed with amnestic mild cognitive impairment at baseline and underwent serial MRI at 6-month intervals over the course of 2years. A factor analysis model identified five factors (i.e. groupings of regions) that exhibited highly correlated rates of atrophy. Four groupings approximately corresponded to coordinated change within the posterior default mode network, prefrontal cortex, medial temporal lobe, and regions largely spared by the early pathological course of AD (i.e., sensorimotor and occipital cortex), while the fifth grouping represented diffuse, global atrophy. The data-driven observation of "frontal aging" superimposed upon medial temporal atrophy typical of early AD and default mode network changes supports the view that in individuals at high risk of eventual clinical AD, multiple patterns of distributed neuronal death corresponding to multiple biological substrates may be active.
基于横断面脑成像观察结果的阿尔茨海默病(AD)进展网络模型推测,该疾病的生物学进程以大脑变化到分布式认知网络的协调空间模式为特征。本研究通过量化317名阿尔茨海默病神经影像倡议参与者皮质灰质萎缩率的区域间协方差来检验这一推测,这些参与者在基线时被临床诊断为遗忘型轻度认知障碍,并在2年的时间里每6个月接受一次系列磁共振成像检查。一个因子分析模型确定了五个表现出高度相关萎缩率的因子(即区域分组)。四个分组大致对应于后默认模式网络、前额叶皮质、内侧颞叶以及在AD早期病理过程中基本未受影响的区域(即感觉运动和枕叶皮质)内的协调变化,而第五个分组代表弥漫性、全身性萎缩。在早期AD典型的内侧颞叶萎缩和默认模式网络变化基础上,数据驱动的“额叶老化”观察结果支持这样一种观点,即在最终临床发生AD风险较高的个体中,对应于多种生物学底物的多种分布式神经元死亡模式可能是活跃的。