MRI uncovers disrupted hippocampal microstructure that underlies memory impairments after early-life adversity.

MRI uncovers disrupted hippocampal microstructure that underlies memory impairments after early-life adversity.
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DOI:
10.1002/hipo.22661
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发表时间:
2016-12
期刊:
影响因子:
3.5
通讯作者:
Baram TZ
Baram TZ
中科院分区:
医学3区
文献类型:
--
作者:
Molet J;Maras PM;Kinney-Lang E;Harris NG;Rashid F;Ivy AS;Solodkin A;Obenaus A;Baram TZ

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在经历童年逆境和压力的一组个体中,记忆和相关的认知功能逐渐受损。然而,不可能及早确定易受伤害的个人,这是干预的一个关键步骤。在这项研究中,高分辨率磁共振成像(MRI)和海马内扩散张量成像(DTI)被用来检查早期生活逆境的啮齿动物模型中认知青少年脆弱性的结构特征。这些方法得到了补充,在青春期,成年期和中年海马网络的完整性的神经解剖和功能评估。高分辨率MRI确定了背海马体积的选择性损失,海马内DTI发现了树突结构的破坏,与破坏的局部连接一致,已经在青春期后期经历了逆境的大鼠中。随着时间的推移,记忆力下降,海马树突树发育迟缓在神经解剖学分析中很明显。因此,在经历早期生活逆境的大鼠中,通过非侵入性成像方式可以检测到与认知障碍相关的海马神经元结构和连通性受损。这些高分辨率的成像方法可能构成有前途的工具,在临床上的风险个人的预测和评估。
Memory and related cognitive functions are progressively impaired in a subgroup of individuals experiencing childhood adversity and stress. However, it is not possible to identify vulnerable individuals early, a crucial step for intervention. In this study, high-resolution magnetic resonance imaging (MRI) and intra-hippocampal diffusion tensor imaging (DTI) were employed to examine for structural signatures of cognitive adolescent vulnerabilities in a rodent model of early-life adversity. These methods were complemented by neuroanatomical and functional assessments of hippocampal network integrity during adolescence, adulthood and middle-age. The high-resolution MRI identified selective loss of dorsal hippocampal volume, and intra-hippocampal DTI uncovered disruption of dendritic structure, consistent with disrupted local connectivity, already during late adolescence in adversity-experiencing rats. Memory deteriorated over time, and stunting of hippocampal dendritic trees was apparent on neuroanatomical analyses. Thus, disrupted hippocampal neuronal structure and connectivity, associated with cognitive impairments, are detectable via non-invasive imaging modalities in rats experiencing early-life adversity. These high-resolution imaging approaches may constitute promising tools for prediction and assessment of at-risk individuals in the clinic.