雜志介紹

Neuroimage-clinical雜志介紹

《Neuroimage-clinical》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱神經(jīng)影像臨床，本刊主要出版、報道醫(yī)學-NEUROIMAGING領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為3.4，最新CiteScore 指數(shù)為7.5。

本刊近期中國學者發(fā)表的論文主要有：

• A presurgical voxel-wise predictive model for cerebellar mutism syndrome in children with posterior fossa tumors

  Author: Yang, Wei; Li, Yiming; Ying, Zesheng; Cai, Yingjie; Peng, Xiaojiao; Sun, HaiLang; Chen, Jiashu; Zhu, Kaiyi; Hu, Geli; Peng, Yun; Ge, Ming

• The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis

  Author: Yang, Chengxiao; Xiao, Kunchen; Ao, Yujia; Cui, Qian; Jing, Xiujuan; Wang, Yifeng

• Sex differences in frontotemporal atrophy in CADASIL revealed by 7-Tesla MRI

  Author: Jia, Xiuqin; Ling, Chen; Li, Yingying; Zhang, Jinyuan; Li, Zhixin; Jia, Xuejia; Wang, Danny J. J.; Zhang, Zihao; Yuan, Yun; Yang, Qi

• Age-level bias correction in brain age prediction

  Author: Zhang, Biao; Zhang, Shuqin; Feng, Jianfeng; Zhang, Shihua

英文介紹

Neuroimage-clinical雜志英文介紹

NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging.

The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.