Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA; Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA.
Brain Stimul. 2021 Jan-Feb;14(1):69-73. doi: 10.1016/j.brs.2020.11.009. Epub 2020 Nov 17.
White matter hyperintensities (WMH) are estimated to occur in greater than 63% of older adults over the age of 60 years. WMH identified in the T2-weighted FLAIR images can be combined with T1-weighted images to enhance individualized current flow models of older adults by accounting for the presence of WMH and its effects on delivered tES current in the aging brain.
Individualized head models were derived from T1-weighted images of 130 healthy older adults (mean = 71 years). Lesions segmented from FLAIR acquisition were added to individualized models. Current densities were computed in the brain and compared between models with and without lesions.
Integrating WMH into the models resulted in an overall decrease (up to 7%) in median current densities in the brain outside lesion regions. Changes in current density and total lesion volume was positively correlated (R = 0.31, p < 0.0001).
Incorporating WMH into individualized models may increase the accuracy of predicted tES current flow in the aging brain.
在 60 岁以上的老年人中,估计有超过 63%的人存在脑白质高信号(WMH)。在 T2 加权 FLAIR 图像中识别的 WMH 可以与 T1 加权图像相结合,通过考虑 WMH 的存在及其对衰老大脑中经颅电刺激(tES)电流的影响,增强老年人的个体化当前流模型。
从 130 名健康老年人(平均年龄=71 岁)的 T1 加权图像中得出个体化头部模型。从 FLAIR 采集的病变被添加到个体化模型中。在有和没有病变的模型中计算脑内的电流密度并进行比较。
将 WMH 整合到模型中,导致脑外病变区域的中位电流密度总体下降(最多 7%)。电流密度和总病变体积的变化呈正相关(R=0.31,p<0.0001)。
将 WMH 纳入个体化模型可能会提高预测衰老大脑中 tES 电流流动的准确性。