Shi Yuhu, Zeng Weiming, Wang Nizhuan
College of Information Engineering, Shanghai Maritime University, Shanghai, China.
Artificial Intelligence and Neuro-Informatics Engineering (ARINE) Laboratory, School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China.
Front Hum Neurosci. 2021 Apr 22;15:656638. doi: 10.3389/fnhum.2021.656638. eCollection 2021.
As a special occupational group, the working and living environments faced by seafarers are greatly different from those of land. It is easy to affect the psychological and physiological activities of seafarers, which inevitably lead to changes in the brain functional activities of seafarers. Therefore, it is of great significance to study the neural activity rules of seafarers' brain. In view of this, this paper studied the seafarers' brain alteration at the activated voxel level based on functional magnetic resonance imaging technology by comparing the differences in functional connectivities (FCs) between seafarers and non-seafarers. Firstly, the activated voxels of each group were obtained by independence component analysis, and then the distribution of these voxels in the brain and the common activated voxels between the two groups were statistically analyzed. Next, the FCs between the common activated voxels of the two groups were calculated and obtained the FCs that had significant differences between them through two-sample -test. Finally, all FCs and FCs with significant differences (DFCs) between the common activated voxels were used as the features for the support vector machine to classify seafarers and non-seafarers. The results showed that DFCs between the activated voxels had better recognition ability for seafarers, especially for Precuneus_L and Precuneus_R, which may play an important role in the classification prediction of seafarers and non-seafarers, so that provided a new perspective for studying the specificity of neurological activities of seafarers.
作为一个特殊的职业群体，海员所面临的工作和生活环境与陆地工作者有很大不同。这很容易影响海员的心理和生理活动，不可避免地导致海员大脑功能活动的变化。因此，研究海员大脑的神经活动规律具有重要意义。鉴于此，本文基于功能磁共振成像技术，通过比较海员与非海员之间功能连接性（FCs）的差异，在激活体素水平上研究了海员大脑的改变。首先，通过独立成分分析获得每组的激活体素，然后对这些体素在大脑中的分布以及两组之间的共同激活体素进行统计分析。接下来，计算两组共同激活体素之间的FCs，并通过双样本检验获得它们之间具有显著差异的FCs。最后，将所有共同激活体素之间的FCs和具有显著差异的FCs（DFCs）作为支持向量机对海员和非海员进行分类的特征。结果表明，激活体素之间的DFCs对海员具有较好的识别能力，尤其是楔前叶_L和楔前叶_R，它们可能在海员和非海员的分类预测中发挥重要作用，从而为研究海员神经活动的特异性提供了新的视角。
