Alexander Gene E, Chen Kewei, Merkley Tricia L, Reiman Eric M, Caselli Richard J, Aschenbrenner Melaney, Santerre-Lemmon Laura, Lewis Diana J, Pietrini Pietro, Teipel Stefan J, Hampel Harald, Rapoport Stanley I, Moeller James R
Neuroimage Analysis Laboratory, Department of Psychology, Arizona State University, Tempe, AZ 85287-1104, USA.
Neuroreport. 2006 Jul 17;17(10):951-6. doi: 10.1097/01.wnr.0000220135.16844.b6.
Healthy aging has been associated with brain volume reductions preferentially affecting the frontal cortex, but also involving other regions. We used a network model of regional covariance, the Scaled Subprofile Model, with magnetic resonance imaging voxel-based morphometry to identify the regional distribution of gray matter associated with aging in 26 healthy adults, 22-77 years old. Scaled Subprofile Model analysis identified a pattern that was highly correlated with age (R2=0.66, P<or=0.0001). Older age was associated with less gray matter in the bilateral frontal, temporal,thalamic, and right cerebellar regions. Gender differences suggested more advanced brain aging in the men. In this healthy adult sample, aging was associated with a regional pattern of gray matter atrophy most prominently involving the frontal and temporal cortices. Scaled Subprofile Model network analysis may aid in the detection and tracking of brain aging and in the evaluation of putative antiaging therapies.
健康衰老与脑容量减少有关，这种减少优先影响额叶皮质，但也涉及其他区域。我们使用区域协方差网络模型——尺度子轮廓模型，结合基于磁共振成像体素的形态测量法，来确定26名年龄在22至77岁之间的健康成年人中与衰老相关的灰质区域分布。尺度子轮廓模型分析确定了一种与年龄高度相关的模式（R2 = 0.66，P≤0.0001）。年龄较大与双侧额叶、颞叶、丘脑和右侧小脑区域的灰质减少有关。性别差异表明男性的脑衰老更为明显。在这个健康成人样本中，衰老与灰质萎缩的区域模式有关，最显著的是涉及额叶和颞叶皮质。尺度子轮廓模型网络分析可能有助于检测和跟踪脑衰老以及评估假定的抗衰老疗法。
