Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning.
Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic classification learning.
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DOI：
10.1016/j.neurobiolaging.2017.08.026
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发表时间：
2018-01
影响因子：
4.2
通讯作者：
Li SC
中科院分区：
文献类型：
--
作者：
Schuck NW;Petok JR;Meeter M;Schjeide BM;Schröder J;Bertram L;Gluck MA;Li SC
概率类别学习涉及海马体和纹状体之间的复杂相互作用，这可能取决于是否通过反馈或观察进行获取。人们对健康老龄化如何影响这些过程知之甚少。我们测试了是否年龄相关的行为差异的概率类别学习反馈或观察依赖于已知的影响海马功能的个体差异的遗传因素，KIBRA基因（SNP rs17070145）。结果显示，与年龄相关的性能障碍，观察以及反馈为基础的学习。此外，遗传分析表明，KIBRA对学习的年龄相关的交互作用：在老年人中，有益的T等位基因与从反馈中学习呈正相关，但与从观察中学习呈负相关。在年轻的成年人中，没有影响KIBRA被发现。我们的研究结果增加了行为遗传学证据，新兴的数据显示，年龄相关的差异，神经资源如何与记忆功能，即海马和纹状体的贡献，概率类别学习可能会随着年龄的变化。这些发现突出了遗传因素对不同记忆功能相对年龄相关性下降的影响。
Probabilistic category learning involves complex interactions between the hippocampus and striatum that may depend on whether acquisition occurs via feedback or observation. Little is known about how healthy aging affects these processes. We tested whether age-related behavioral differences in probabilistic category learning from feedback or observation depend on a genetic factor known to influence individual differences in hippocampal function, the KIBRA gene (SNP rs17070145). Results showed comparable age-related performance impairments in observational as well as feedback-based learning. Moreover, genetic analyses indicated an age-related interactive effect of KIBRA on learning: among older adults the beneficial T-allele was positively associated with learning from feedback, but negatively with learning from observation. In younger adults, no effects of KIBRA were found. Our results add behavioral genetic evidence to emerging data showing age-related differences in how neural resources relate to memory functions, namely that hippocampal and striatal contributions to probabilistic category learning may vary with age. Such findings highlight the effects genetic factors can have on relative age-related decline of different memory functions.
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影响因子：
4.3
作者：
Lindenberger U;Nagel IE;Chicherio C;Li SC;Heekeren HR;Bäckman L
通讯作者：
Bäckman L
影响因子：
2.6
作者：
Maddox WT;Pacheco J;Reeves M;Zhu B;Schnyer DM
通讯作者：
Schnyer DM
影响因子：
3.7
作者：
Filoteo, JV;Maddox, WT
通讯作者：
Maddox, WT
DOI：
10.1177/1073858410397054
发表时间：
2012-02
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Erickson KI;Miller DL;Roecklein KA
通讯作者：
Roecklein KA
影响因子：
5.7
作者：
Dickerson KC;Li J;Delgado MR
通讯作者：
Delgado MR