University of California.
University of Colorado.
Neuropsychology. 2018 May;32(4):436-449. doi: 10.1037/neu0000447. Epub 2018 Mar 1.
Examine how longitudinal cognitive trajectories relate to brain baseline measures and change in lobar volumes in a racially/ethnically and cognitively diverse sample of older adults.
Participants were 460 older adults enrolled in a longitudinal aging study. Cognitive outcomes were measures of episodic memory, semantic memory, executive function, and spatial ability derived from the Spanish and English Neuropsychological Assessment Scales (SENAS). Latent variable multilevel modeling of the four cognitive outcomes as parallel longitudinal processes identified intercepts for each outcome and a second order global change factor explaining covariance among the highly correlated slopes. We examined how baseline brain volumes (lobar gray matter, hippocampus, and white matter hyperintensity) and change in brain volumes (lobar gray matter) were associated with cognitive intercepts and global cognitive change. Lobar volumes were dissociated into global and specific components using latent variable methods.
Cognitive change was most strongly associated with brain gray matter volume change, with strong independent effects of global gray matter change and specific temporal lobe gray matter change. Baseline white matter hyperintensity and hippocampal volumes had significant incremental effects on cognitive decline beyond gray matter change. Baseline lobar gray matter was related to cognitive decline, but did not contribute beyond gray matter change.
Cognitive decline was strongly influenced by gray matter volume change and, especially, temporal lobe change. The strong influence of temporal lobe gray matter change on cognitive decline may reflect involvement of temporal lobe structures that are critical for late life cognitive health but also are vulnerable to diseases of aging. (PsycINFO Database Record
在一个种族/民族和认知多样化的老年人群体中,研究纵向认知轨迹与大脑基线测量值和脑叶体积变化之间的关系。
参与者为 460 名参加纵向衰老研究的老年人。认知结果是从西班牙和英语神经心理评估量表(SENAS)中得出的情节记忆、语义记忆、执行功能和空间能力的测量值。四个认知结果的潜在变量多层次建模作为平行纵向过程,确定了每个结果的截距和解释高度相关斜率之间协方差的二阶全局变化因素。我们研究了基线大脑体积(脑叶灰质、海马体和脑白质高信号)和大脑体积变化(脑叶灰质)与认知截距和全球认知变化的关系。使用潜在变量方法将脑叶体积分解为全局和特定成分。
认知变化与大脑灰质体积变化最密切相关,全局灰质变化和特定颞叶灰质变化具有强烈的独立影响。基线脑白质高信号和海马体体积对认知下降的影响超过灰质变化具有显著的增量效应。基线脑叶灰质与认知下降有关,但在灰质变化之外没有贡献。
认知下降受灰质体积变化的强烈影响,特别是颞叶变化的影响。颞叶灰质变化对认知下降的强烈影响可能反映了颞叶结构的参与,这些结构对晚年认知健康至关重要,但也容易受到衰老疾病的影响。