从核磁共振成像的皮质结构预测抗抑郁治疗反应：来自 ENIGMA-MDD 工作组的大型分析"。

IF 3.5 2区医学 Q1 NEUROIMAGING

Human Brain Mapping Pub Date : 2025-02-05 DOI:10.1002/hbm.70144

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Correction to “Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group”

Poirot, M. G., D. E. Boucherie, M. W. A. Caan, et al. 2025. “Predicting Antidepressant Treatment Response From Cortical Structure on MRI: A Mega-Analysis From the ENIGMA-MDD Working Group.” Human Brain Mapping 46, no. 1: e70053. https://doi.org/10.1002/hbm.70053.

The ITEA (Reference number 21016 DAIsy) funding program was missing from the Acknowledgments section in the originally published version. Here is the corrected text:

This work was done with the ENIGMA major depressive disorder (ENIGMA-MDD) working group and was supported by the Eurostars (Reference number 113351 DEPREDICT) and ITEA (Reference number 21016 DAIsy) funding programs.

The online version has been corrected accordingly.

We apologize for this error.

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来源期刊

Human Brain Mapping 医学-核医学

CiteScore

8.30

自引率

6.20%

发文量

401

审稿时长

3-6 weeks

期刊介绍： Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.