Yuan K, Zhang J, Liu D H, Yu Dahua
School of Life Science and Technology, Xidian University, Xi'an 710126, China.
Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China.
Zhonghua Yi Xue Za Zhi. 2022 Sep 20;102(35):2734-2737. doi: 10.3760/cma.j.cn112137-20220621-01360.
Neuroimaging technologies can non-invasively characterize the structure and function of addiction brain, reveal the neural mechanism of addictive behavior, and provide a priori for the potential targets of brain stimulation. Neuroimaging technologies has played an important role in the study of drug addiction diseases, relapse prediction, and therapeutic evaluation of non-invasive brain stimulations, but it also faces many challenges. In this manuscript, we discuss the classification and analysis methods of neuroimaging technologies, its application in addiction and challenges, thus to promote the application of neuroimaging technology in the treatment of drug addiction.
神经成像技术可以非侵入性地表征成瘾大脑的结构和功能,揭示成瘾行为的神经机制,并为脑刺激的潜在靶点提供先验依据。神经成像技术在药物成瘾疾病的研究、复发预测以及非侵入性脑刺激的治疗评估中发挥了重要作用,但也面临许多挑战。在本手稿中,我们讨论了神经成像技术的分类和分析方法、其在成瘾方面的应用及挑战,从而促进神经成像技术在药物成瘾治疗中的应用。