Modeling white matter tract integrity in aging with diffusional kurtosis imaging.
Modeling white matter tract integrity in aging with diffusional kurtosis imaging.
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DOI：
10.1016/j.neurobiolaging.2018.07.006
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发表时间：
2018-10
影响因子：
4.2
通讯作者：
Helpern JA
中科院分区：
文献类型：
--
作者：
Benitez A;Jensen JH;Falangola MF;Nietert PJ;Helpern JA
髓磷脂分解和神经纤维丢失发生在衰老过程中。这项研究使用了来自生物物理模型的白质束完整性指标，使用弥散峰度成像来评估认知功能未受损的老年人髓鞘（即轴外弥散性，径向，De,⊥）和轴突密度（即轴突水分数）的损失。基于神经束的空间统计和兴趣区域分析，利用一般线性和混合效应模型分析的横断面和纵向数据，试图确定白质神经束的个体差异和年龄相关变化。除了纯粹的扩散参数（即分数各向异性、平均扩散率、平均峰度）外，我们还发现白质束完整性指标在早期髓鞘束和晚期髓鞘束之间存在显著差异，与空间上不同区域的年龄相关，并随着时间的推移主要识别轴外变化。根据横断面数据和纵向数据，每年的变化幅度分别为0.3-0.9亿桶/年和0.0-1.9亿桶/年。老年时，一些晚期髓鞘束与早期髓鞘束的衰退速度加快。这些结果表明，这些指标可能为进一步研究从年龄相关变化到神经退行性衰退的转变提供信息。
Myelin breakdown and neural fiber loss occur in aging. This study used white matter tract integrity metrics derived from biophysical modeling using Diffusional Kurtosis Imaging to assess loss of myelin (i.e., extraaxonal diffusivity, radial direction, De,⊥) and axonal density (i.e., axonal water fraction) in cognitively unimpaired older adults. Tract-based spatial statistics and region of interest analyses sought to identify ontogenic differences and age-related changes in white matter tracts using cross-sectional and longitudinal data analyzed with general linear and mixed-effects models. In addition to pure diffusion parameters (i.e., fractional anisotropy, mean diffusivity, mean kurtosis), we found that white matter tract integrity metrics significantly differentiated early- from late-myelinating tracts, correlated with age in spatially distinct regions, and identified primarily extraaxonal changes over time. Percent metric changes were |0.3-0.9|% and |0.0-1.9|% per year using cross-sectional data and longitudinal data, respectively. There was accelerated decline in some late- versus early-myelinating tracts in older age. These results demonstrate that these metrics may inform further study of the transition from age-related changes to neurodegenerative decline.
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DOI：
10.1523/jneurosci.3252-09.2009
发表时间：
2009-12-02
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Fjell AM;Walhovd KB;Fennema-Notestine C;McEvoy LK;Hagler DJ;Holland D;Brewer JB;Dale AM
通讯作者：
Dale AM
影响因子：
4.2
作者：
Coutu JP;Chen JJ;Rosas HD;Salat DH
通讯作者：
Salat DH
影响因子：
4.4
作者：
Falangola, Maria F.;Jensen, Jens H.;Babb, James S.;Hu, Caixia;Castellanos, Francisco X.;Di Martino, Adriana;Ferris, Steven H.;Helpern, Joseph A.
通讯作者：
Helpern, Joseph A.
影响因子：
4.2
作者：
Bartzokis G
通讯作者：
Bartzokis G
影响因子：
5.7
作者：
Guglielmetti C;Veraart J;Roelant E;Mai Z;Daans J;Van Audekerke J;Naeyaert M;Vanhoutte G;Delgado Y Palacios R;Praet J;Fieremans E;Ponsaerts P;Sijbers J;Van der Linden A;Verhoye M
通讯作者：
Verhoye M