Bellander Martin, Berggren Rasmus, Mårtensson Johan, Brehmer Yvonne, Wenger Elisabeth, Li Tie-Qiang, Bodammer Nils C, Shing Yee-Lee, Werkle-Bergner Markus, Lövdén Martin
Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Neuroimage. 2016 May 1;131:205-13. doi: 10.1016/j.neuroimage.2015.10.020. Epub 2015 Oct 23.
Experience can affect human gray matter volume. The behavioral correlates of individual differences in such brain changes are not well understood. In a group of Swedish individuals studying Italian as a foreign language, we investigated associations among time spent studying, acquired vocabulary, baseline performance on memory tasks, and gray matter changes. As a way of studying episodic memory training, the language learning focused on acquiring foreign vocabulary and lasted for 10weeks. T1-weighted structural magnetic resonance imaging and cognitive testing were performed before and after the studies. Learning behavior was monitored via participants' use of a smartphone application dedicated to the study of vocabulary. A whole-brain analysis showed larger changes in gray matter structure of the right hippocampus in the experimental group (N=33) compared to an active control group (N=23). A first path analyses revealed that time spent studying rather than acquired knowledge significantly predicted change in gray matter structure. However, this association was not significant when adding performance on baseline memory measures into the model, instead only the participants' performance on a short-term memory task with highly similar distractors predicted the change. This measure may tap similar individual difference factors as those involved in gray matter plasticity of the hippocampus.
经验会影响人类的灰质体积。人们对这种大脑变化中个体差异的行为相关性了解甚少。在一组将意大利语作为外语学习的瑞典人中,我们研究了学习时间、习得词汇量、记忆任务的基线表现与灰质变化之间的关联。作为一种研究情景记忆训练的方式,语言学习聚焦于习得外语词汇,持续了10周。在研究前后分别进行了T1加权结构磁共振成像和认知测试。通过参与者使用一款专门用于词汇学习的智能手机应用程序来监测学习行为。全脑分析显示,与主动对照组(N = 23)相比,实验组(N = 33)右侧海马体的灰质结构变化更大。首次路径分析表明,学习时间而非习得的知识能显著预测灰质结构的变化。然而,当将基线记忆测量的表现纳入模型时,这种关联并不显著,相反,只有参与者在具有高度相似干扰物的短期记忆任务中的表现能够预测这种变化。该测量方法可能挖掘出了与海马体灰质可塑性相关的类似个体差异因素。