Hedden Trey, Schultz Aaron P, Rieckmann Anna, Mormino Elizabeth C, Johnson Keith A, Sperling Reisa A, Buckner Randy L
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Cereb Cortex. 2016 Apr;26(4):1388-400. doi: 10.1093/cercor/bhu238. Epub 2014 Oct 14.
Age-related alterations in brain structure and function have been challenging to link to cognition due to potential overlapping influences of multiple neurobiological cascades. We examined multiple brain markers associated with age-related variation in cognition. Clinically normal older humans aged 65-90 from the Harvard Aging Brain Study (N = 186) were characterized on a priori magnetic resonance imaging markers of gray matter thickness and volume, white matter hyperintensities, fractional anisotropy (FA), resting-state functional connectivity, positron emission tomography markers of glucose metabolism and amyloid burden, and cognitive factors of processing speed, executive function, and episodic memory. Partial correlation and mediation analyses estimated age-related variance in cognition shared with individual brain markers and unique to each marker. The largest relationships linked FA and striatum volume to processing speed and executive function, and hippocampal volume to episodic memory. Of the age-related variance in cognition, 70-80% was accounted for by combining all brain markers (but only ∼20% of total variance). Age had significant indirect effects on cognition via brain markers, with significant markers varying across cognitive domains. These results suggest that most age-related variation in cognition is shared among multiple brain markers, but potential specificity between some brain markers and cognitive domains motivates additional study of age-related markers of neural health.
由于多种神经生物学级联反应的潜在重叠影响,将与年龄相关的大脑结构和功能变化与认知联系起来一直具有挑战性。我们研究了与年龄相关的认知变化相关的多种大脑标志物。来自哈佛衰老大脑研究的65至90岁临床正常的老年人(N = 186),根据灰质厚度和体积、白质高信号、分数各向异性(FA)、静息态功能连接、葡萄糖代谢和淀粉样蛋白负荷的正电子发射断层扫描标志物以及处理速度、执行功能和情景记忆的认知因素进行了特征描述。偏相关和中介分析估计了与个体大脑标志物共享的以及每个标志物特有的与年龄相关的认知差异。最大的关联是FA和纹状体体积与处理速度和执行功能相关,海马体体积与情景记忆相关。在与年龄相关的认知差异中,70 - 80%可通过综合所有大脑标志物来解释(但仅占总差异的约20%)。年龄通过大脑标志物对认知有显著的间接影响,不同认知领域的显著标志物各不相同。这些结果表明,大多数与年龄相关的认知变化在多种大脑标志物之间是共享的,但一些大脑标志物与认知领域之间潜在的特异性促使对与年龄相关的神经健康标志物进行更多研究。