Structural brain changes in normal individuals with a maternal history of Alzheimer's.

Structural brain changes in normal individuals with a maternal history of Alzheimer's.
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DOI:
10.1016/j.neurobiolaging.2011.01.001
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发表时间:
2011-12
影响因子:
4.2
通讯作者:
De Leon MJ
De Leon MJ
中科院分区:
医学2区
文献类型:
--
作者:
Berti V;Mosconi L;Glodzik L;Li Y;Murray J;De Santi S;Pupi A;Tsui W;De Leon MJ

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父母中有一方患有晚发性阿尔茨海默病(LOAD)是认知正常(NL)个体发生该病的主要风险因素。这项MRI研究检查了具有受LOAD影响的母体的NL是否显示临床前脑萎缩,以及是否存在母体效应。使用SPM '8上基于体素的形态测定法(VBM)检查60名中年晚期NL受试者的体积T1-MRI扫描,将其分为3个大小匹配、人口统计学平衡的组,每组20名受试者,包括具有LOAD的母亲(FHm)、父亲(FHp)或阴性家族史(FH-)的NL。临床和神经心理学指标以及ApoE状态无组间差异。在VBM上,与FH-相比,FHm显示额叶、顶叶、颞叶皮质和楔前叶的灰质体积(GMV)减少,与FHp相比,楔前叶的灰质体积减少(P<0.05,FWE校正)。控制年龄、性别、教育程度、ApoE和颅内总体积后,结果仍具有显著性。FHp和FH-在任何地区之间均未观察到差异。与FH和FHp相比,NL FHm在AD影响的大脑区域中显示出降低的GMV,表明AD的风险更高。我们的研究结果支持使用区域性脑萎缩作为临床前生物标志物的负载在风险个体。
Having a parent affected with late-onset Alzheimer's disease (LOAD) is a major risk factor for developing the disease among cognitively normal (NL) individuals. This MRI study examines whether NL with a LOAD-affected parent show preclinical brain atrophy, and whether there are parent-of-origin effects. Voxel-based morphometry (VBM) on SPM’8 was used to examine volumetric T1-MRI scans of 60 late-middle-aged NL subjects, divided into 3 size-matched, demographically balanced groups of 20 subjects each, including NL with a maternal (FHm), paternal (FHp), or negative family history (FH-) of LOAD. There were no group differences for clinical and neuropsychological measures, and ApoE status. On VBM, FHm showed reduced gray matter volumes (GMV) in frontal, parietal, temporal cortices and precuneus as compared to FH-, and in precuneus compared to FHp (P<0.05, FWE-corrected). Results remained significant controlling for age, gender, education, ApoE and total intracranial volume. No differences were observed between FHp and FH- in any regions. NL FHm showed reduced GMV in AD-affected brain regions compared to FH- and FHp, indicating higher risk for AD. Our findings support the use of regional brain atrophy as a preclinical biomarker for LOAD among at risk individuals.
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