Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.
Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.
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DOI：
10.1016/j.neuroimage.2018.08.075
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发表时间：
2018-09-01
期刊：
影响因子：
5.7
通讯作者：
Bastin ME
中科院分区：
文献类型：
--
作者：
Alloza C;Cox SR;Blesa Cábez M;Redmond P;Whalley HC;Ritchie SJ;Muñoz Maniega S;Valdés Hernández MDC;Tucker-Drob EM;Lawrie SM;Wardlaw JM;Deary IJ;Bastin ME
较高的精神分裂症多基因风险评分（szPGRS）与较低的认知功能相关，并且可能是表面健康人群大脑结构下降的预测因素。从横截面数据中可以明显看出，与年龄相关的大脑结构连接性下降（使用白质扩散 MRI 测量）。然而，目前尚不清楚结构连接组的图论指标如何随时间变化，以及 szPGRS 是否与人类大脑连接的衰老相关变化的差异相关。在这里，我们研究了一个大型、相对健康、同年出生、年龄较大的队列，历时 3 年（年龄~73 岁，N=731；年龄~76 岁，N=488）。从他们的脑部扫描中，我们得出了束平均分数各向异性 (FA) 和平均扩散率 (MD) 以及网络拓扑特性。我们研究了这些大脑结构变量与 szPGRS 之间的横截面和纵向关联。较高的 szPGRS 显示与压部 (β=0.132，pFDR=0.040)、弓形 (β=0.291，pFDR=0.040)、前丘脑辐射 (β=0.215，pFDR=0.040) 和扣带回 (β=0.165，pFDR=0.040) 的 MD 纵向增加显着相关。 pFDR=0.040）。随着时间的推移，FA 加权网络的图论指标出现显着下降，例如平均边权重 (β=-0.039，pFDR=0.048) 和强度 (β=-0.027，pFDR=0.048)。 szPGRS 和图论指标之间没有发现显着的关联。这些结果与 szPGRS 赋予结构连通性某些方面与老化相关的退化风险的假设是一致的。狭窄年龄范围老年群体脑结构的大型纵向 MRI 研究。从 73 岁到 76 岁，白质束发生纵向变化。图论指标也显示了该时期的纵向减少。白质微观结构的变化与大脑网络的变化相关。精神分裂症的较高遗传风险与大脑结构的变化有关。
Higher polygenic risk score for schizophrenia (szPGRS) has been associated with lower cognitive function and might be a predictor of decline in brain structure in apparently healthy populations. Age-related declines in structural brain connectivity—measured using white matter diffusion MRI —are evident from cross-sectional data. Yet, it remains unclear how graph theoretical metrics of the structural connectome change over time, and whether szPGRS is associated with differences in ageing-related changes in human brain connectivity. Here, we studied a large, relatively healthy, same-year-of-birth, older age cohort over a period of 3 years (age ∼ 73 years, N = 731; age ∼76 years, N = 488). From their brain scans we derived tract-averaged fractional anisotropy (FA) and mean diffusivity (MD), and network topology properties. We investigated the cross-sectional and longitudinal associations between these structural brain variables and szPGRS. Higher szPGRS showed significant associations with longitudinal increases in MD in the splenium (β = 0.132, pFDR = 0.040), arcuate (β = 0.291, pFDR = 0.040), anterior thalamic radiations (β = 0.215, pFDR = 0.040) and cingulum (β = 0.165, pFDR = 0.040). Significant declines over time were observed in graph theory metrics for FA-weighted networks, such as mean edge weight (β = −0.039, pFDR = 0.048) and strength (β = −0.027, pFDR = 0.048). No significant associations were found between szPGRS and graph theory metrics. These results are consistent with the hypothesis that szPGRS confers risk for ageing-related degradation of some aspects of structural connectivity. Large longitudinal MRI study of brain structure in narrow age range older age cohort. Longitudinal changes occur in white matter tracts from age 73 to 76. Graph theory metrics also showed longitudinal reductions over that period. Microstructural changes in white matter correlate with changes in brain’s network. Higher genetic risk for schizophrenia is associated with changes in brain structure.
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影响因子：
5.7
作者：
Bastin, Mark E.;Maniega, Susana Munoz;Clayden, Jonathan D.
通讯作者：
Clayden, Jonathan D.
影响因子：
5.7
作者：
Buchanan, Colin R.;Pernet, Cyril R.;Bastin, Mark E.
通讯作者：
Bastin, Mark E.
影响因子：
14.5
作者：
ABOITIZ, F;SCHEIBEL, AB;ZAIDEL, E
通讯作者：
ZAIDEL, E
影响因子：
4.5
作者：
Collin, G.;de Nijs, J.;van den Heuvel, M. P.
通讯作者：
van den Heuvel, M. P.
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y