重复经颅磁刺激(repetitive transcranial magnetic stimulation,rTMS)已成为精神医学领域重要的治疗手段,然而在临床应用中还存在不少问题。本文对中国医药教育协会发布的T/CMEAS 011-2023《重复经颅磁刺激技术在精神障碍临床应用中的...重复经颅磁刺激(repetitive transcranial magnetic stimulation,rTMS)已成为精神医学领域重要的治疗手段,然而在临床应用中还存在不少问题。本文对中国医药教育协会发布的T/CMEAS 011-2023《重复经颅磁刺激技术在精神障碍临床应用中的操作规范》团体标准进行解读,内容包括rTMS的应用范围、规范性引用文件、rTMS相关术语和定义、场地规范、设备规范、rTMS专业技术人员的能力规范、rTMS的操作流程规范、相关不良反应等,为重复经颅磁刺激技术在精神障碍中的规范应用提供参考。展开更多
Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders.By pooling images from various cohorts,statistical power has increased,enabling the detection of subtle abnormali...Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders.By pooling images from various cohorts,statistical power has increased,enabling the detection of subtle abnormalities and robust associations,and fostering new research methods.Global collaborations in imaging have furthered our knowledge of the neurobiological foundations of brain disorders and aided in imaging-based prediction for more targeted treatment.Large-scale magnetic resonance imaging initiatives are driving innovation in analytics and supporting generalizable psychiatric studies.We also emphasize the significant role of big data in understanding neural mechanisms and in the early identification and precise treatment of neuropsychiatric disorders.However,challenges such as data harmonization across different sites,privacy protection,and effective data sharing must be addressed.With proper governance and open science practices,we conclude with a projection of how large-scale imaging resources and collaborations could revolutionize diagnosis,treatment selection,and outcome prediction,contributing to optimal brain health.展开更多
文摘带状疱疹后遗神经痛(postherpetic neuralgia,PHN)是临床上一种慢性顽固性神经病理性疼痛,然而,对于其潜在的中枢机制还知之甚少.为了进一步探讨带状疱疹后遗神经痛患者的相关脑区活动,利用功能核磁共振成像低频振幅振荡(ALFF)技术观察带状疱疹后遗神经痛患者的基础脑区活动.8名带状疱疹后遗神经痛患者与8名性别、年龄相匹配的健康者行静息态功能磁共振(f MRI)成像扫描,用SPM8中的多重回归分析,在控制被试年龄、性别、教育年限的影响下,将每个体素的ALFF值同每个被试的病程、视觉模拟评分(visual analog scale,VAS)进行相关分析.与健康志愿者相比,PHN组与VAS评分相关的ALFF值增高的脑区有:右侧小脑后叶、前额叶背外侧区域(BA11/46/47)、右侧顶叶(BA40)、右侧舌回(BA17/18/19);与VAS评分相关的ALFF值降低的脑区有:右侧颞中回(BA21)、左侧舌回(BA17/18)、右侧小脑前叶、左侧后扣带回(BA30/19)和右侧中央前回(BA3/4/6);PHN组与病程相关的ALFF值增高的脑区有:右侧小脑后叶、前额叶背外侧区域(BA9/10/11/47)、左侧颞上回(BA38)、右侧顶叶和右侧舌回(BA17/18/19);与病程相关ALFF值降低的脑区有:左侧海马旁回(BA28)、右侧小脑前叶、左侧扣带回(BA24)、右侧颞上回(BA13)、左侧中央前回和右侧顶下小叶(BA39/40).研究结果提示,涉及疼痛的情绪、警觉行为、注意的脑区在带状疱疹后遗痛慢性疼痛的产生和维持中发挥重要作用.
文摘重复经颅磁刺激(repetitive transcranial magnetic stimulation,rTMS)已成为精神医学领域重要的治疗手段,然而在临床应用中还存在不少问题。本文对中国医药教育协会发布的T/CMEAS 011-2023《重复经颅磁刺激技术在精神障碍临床应用中的操作规范》团体标准进行解读,内容包括rTMS的应用范围、规范性引用文件、rTMS相关术语和定义、场地规范、设备规范、rTMS专业技术人员的能力规范、rTMS的操作流程规范、相关不良反应等,为重复经颅磁刺激技术在精神障碍中的规范应用提供参考。
基金supported by the Sci-Tech Innovation 2030-Major Projects of Brain Science and Brain-inspired Intelligence Technology(2021ZD0200600)the National Natural Science Foundation of China(82122035,81671774,81630031,32300933)+3 种基金the Key Research Program of the Chinese Academy of Sciences(ZDBS-SSW-JSC006)Beijing Nova Program of Science and Technology(Z191100001119104 and 20230484465)Beijing Natural Science Foundation(J230040)the Scientific Foundation of Institute of Psychology,Chinese Academy of Sciences(E3CX1425,E2CX4425YZ).
文摘Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders.By pooling images from various cohorts,statistical power has increased,enabling the detection of subtle abnormalities and robust associations,and fostering new research methods.Global collaborations in imaging have furthered our knowledge of the neurobiological foundations of brain disorders and aided in imaging-based prediction for more targeted treatment.Large-scale magnetic resonance imaging initiatives are driving innovation in analytics and supporting generalizable psychiatric studies.We also emphasize the significant role of big data in understanding neural mechanisms and in the early identification and precise treatment of neuropsychiatric disorders.However,challenges such as data harmonization across different sites,privacy protection,and effective data sharing must be addressed.With proper governance and open science practices,we conclude with a projection of how large-scale imaging resources and collaborations could revolutionize diagnosis,treatment selection,and outcome prediction,contributing to optimal brain health.
