Zufferey Valérie, Donati Alessia, Popp Julius, Meuli Reto, Rossier Jérôme, Frackowiak Richard, Draganski Bogdan, von Gunten Armin, Kherif Ferath
Laboratoire de Recherche en Neuroimagerie (LREN), Département des neurosciences cliniques, Centre Hospitalier Universitaire Vaudois, Université de Lausanne, Lausanne, Switzerland.
Service of Old Age Psychiatry, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois, Prilly-Lausanne, Switzerland.
Alzheimers Dement (Amst). 2017 May 31;7:107-114. doi: 10.1016/j.dadm.2017.05.002. eCollection 2017.
Certain personality traits are associated with higher risk of Alzheimer's disease, similar to cognitive impairment. The identification of biological markers associated with personality in mild cognitive impairment could advance the early detection of Alzheimer's disease.
We used hierarchical multivariate linear models to quantify the interaction between personality traits, state of cognitive impairment, and MRI biomarkers (gray matter brain volume, gray matter mean water diffusion) in the medial temporal lobe (MTL).
Over and above a main effect of cognitive state, the multivariate linear model showed significant interaction between cognitive state and personality traits predicting MTL abnormality. The interaction effect was mainly driven by neuroticism and its facets (anxiety, depression, and stress) and was associated with right-left asymmetry and an anterior to posterior gradient in the MTL.
Our results support the hypothesis that personality traits can alter the vulnerability and pathoplasticity of disease and therefore modulate related biomarker expression.
某些人格特质与患阿尔茨海默病的较高风险相关,类似于认知障碍。识别与轻度认知障碍中的人格相关的生物标志物可能会推进阿尔茨海默病的早期检测。
我们使用分层多元线性模型来量化人格特质、认知障碍状态和内侧颞叶(MTL)的MRI生物标志物(灰质脑体积、灰质平均水扩散)之间的相互作用。
除了认知状态的主要影响外,多元线性模型显示认知状态与预测MTL异常的人格特质之间存在显著相互作用。这种相互作用效应主要由神经质及其方面(焦虑、抑郁和压力)驱动,并与MTL中的左右不对称和从前到后的梯度相关。
我们的结果支持这样的假设,即人格特质可以改变疾病的易感性和可塑性,从而调节相关生物标志物的表达。