Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Psychiatry Res. 2011 Nov 30;194(2):198-204. doi: 10.1016/j.pscychresns.2011.05.003. Epub 2011 Sep 7.
We propose a mathematical formula that predicts the trajectory of the recovery from lobar gray and white matter volume deficits in individuals with sustained abstinence from alcohol. The formula was validated by using MRI-measured volumetric data from 16 alcohol dependent individuals who had brain scans at three time points during abstinence from alcohol. Using the measured volumetric data of each individual from the first two time points, we estimated the individual's gray and white matter volume of the frontal, parietal and temporal lobes for the third time point using the formula. Similarly, using the measured data for the second and third time points, we estimated the first time point data for each individual. The data predicted from the formula were very similar to the experimentally measured data for all lobes and for both gray and white matter. The intra-class correlation coefficients between the measured data and the data estimated from the formula were >0.95 for almost all the tissues. The formula may also be applicable in other neuroimaging studies of tissue volume changes such as white matter myelination during brain development and white matter demyelination or brain volume loss in neurodegenerative diseases, such as Alzheimer's disease.
我们提出了一个数学公式，用于预测持续戒酒的个体从大脑白质和灰质体积缺损中恢复的轨迹。该公式通过使用 16 名酒精依赖个体在戒酒期间三个时间点的 MRI 测量体积数据进行了验证。使用前两个时间点的每个个体的测量体积数据，我们使用公式估算了第三个时间点的个体额、顶和颞叶的灰质和白质体积。同样，使用第二和第三时间点的测量数据，我们估算了每个个体的第一个时间点数据。该公式预测的数据与所有脑叶和灰质与白质的实验测量数据非常相似。在几乎所有组织中，测量数据与公式估算数据之间的组内相关系数均>0.95。该公式也可能适用于其他神经影像学研究中的组织体积变化，例如大脑发育过程中的白质髓鞘形成以及神经退行性疾病（如阿尔茨海默病）中的白质脱髓鞘或脑体积丢失。
