Lai Xin, Huang Qiuping, Xin Jiang, Yu Hufei, Wen Jingxi, Huang Shucai, Zhang Hao, Shen Hongxian, Tang Yan
School of Computer Science and Engineering, Central South University, Changsha, China.
National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.
Front Psychol. 2021 Aug 11;12:684001. doi: 10.3389/fpsyg.2021.684001. eCollection 2021.
Few studies have investigated the functional patterns of methamphetamine abstainers. A better understanding of the underlying neurobiological mechanism in the brains of methamphetamine abstainers will help to explain their abnormal behaviors. Forty-two male methamphetamine abstainers, currently in a long-term abstinence status (for at least 14 months), and 32 male healthy controls were recruited. All subjects underwent functional MRI while responding to drug-associated cues. This study proposes to combine a convolutional neural network with a short-time Fourier transform to identify different brain patterns between methamphetamine abstainers and controls. The short-time Fourier transformation provides time-localized frequency information, while the convolutional neural network extracts the structural features of the time-frequency spectrograms. The results showed that the classifier achieved a satisfactory performance (98.9% accuracy) and could extract robust brain voxel information. The highly discriminative power voxels were mainly concentrated in the left inferior orbital frontal gyrus, the bilateral postcentral gyri, and the bilateral paracentral lobules. This study provides a novel insight into the different functional patterns between methamphetamine abstainers and healthy controls. It also elucidates the pathological mechanism of methamphetamine abstainers from the view of time-frequency spectrograms.
很少有研究调查甲基苯丙胺戒除者的功能模式。更好地理解甲基苯丙胺戒除者大脑中的潜在神经生物学机制将有助于解释他们的异常行为。招募了42名目前处于长期戒除状态（至少14个月）的男性甲基苯丙胺戒除者和32名男性健康对照者。所有受试者在对与药物相关的线索做出反应时接受功能磁共振成像。本研究建议将卷积神经网络与短时傅里叶变换相结合，以识别甲基苯丙胺戒除者和对照者之间不同的脑模式。短时傅里叶变换提供时间局部化的频率信息，而卷积神经网络提取时频谱图的结构特征。结果表明，该分类器取得了令人满意的性能（准确率98.9%），并能提取出可靠的脑体素信息。具有高度判别力的体素主要集中在左侧眶额下回、双侧中央后回和双侧中央旁小叶。本研究为甲基苯丙胺戒除者和健康对照者之间不同的功能模式提供了新的见解。它还从时频谱图的角度阐明了甲基苯丙胺戒除者的病理机制。
