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首页> 外文期刊>Psychiatry Research. Neuroimaging >A mathematical formula for prediction of gray and white matter volume recovery in abstinent alcohol dependent individuals
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A mathematical formula for prediction of gray and white matter volume recovery in abstinent alcohol dependent individuals

机译：戒酒依赖者预测灰白物质体积恢复的数学公式

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摘要

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.
机译：我们提出了一个数学公式，该公式可预测持续戒酒的个人从大叶灰质和白质体积不足恢复的轨迹。通过使用MRI测量的16位酒精依赖者的体积数据验证了该公式，这些酒精依赖者在戒酒期间的三个时间点进行了脑部扫描。使用从前两个时间点测得的每个人的体积数据，我们使用公式估算了该人在第三个时间点的额叶，顶叶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，我们估计了每个人的第一时间点数据。从该公式预测的数据与所有波瓣以及灰和白质的实验测量数据非常相似。测量数据与根据公式估算的数据之间的类内相关系数>。几乎所有组织为0.95。该公式还可用于组织体积变化的其他神经影像学研究，例如大脑发育过程中的白质髓鞘化和神经退行性疾病（如阿尔茨海默氏病）中的白质脱髓鞘或脑体积损失。

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