Analytical Transparency and Reproducibility in Human Neuroimaging Studies.
作者信息
Picciotto Marina
机构信息
Yale University School of Medicine, New Haven, Connecticut 06510.
出版信息
J Neurosci. 2018 Apr 4;38(14):3375-3376. doi: 10.1523/JNEUROSCI.0424-18.2018.
Abstract
摘要
相似文献
1
Analytical Transparency and Reproducibility in Human Neuroimaging Studies.人类神经影像学研究中的分析透明度与可重复性
J Neurosci. 2018 Apr 4;38(14):3375-3376. doi: 10.1523/JNEUROSCI.0424-18.2018.
2
A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research.提高神经影像学研究透明度和可重复性实用指南。
PLoS Biol. 2016 Jul 7;14(7):e1002506. doi: 10.1371/journal.pbio.1002506. eCollection 2016 Jul.
3
Introduction to the special issue on reproducibility in neuroimaging.神经影像学可重复性特刊引言
Neuroimage. 2020 Sep;218:116357. doi: 10.1016/j.neuroimage.2019.116357. Epub 2019 Nov 13.
4
Reproducibility and transparency in biomedical sciences.生物医学科学中的可重复性和透明度。
Oral Dis. 2017 Oct;23(7):813-816. doi: 10.1111/odi.12588. Epub 2016 Nov 24.
5
Assessment of the impact of shared brain imaging data on the scientific literature.评估共享脑影像数据对科学文献的影响。
Nat Commun. 2018 Jul 19;9(1):2818. doi: 10.1038/s41467-018-04976-1.
6
Announcement: Transparency upgrade for Nature journals.公告：《自然》系列期刊透明度提升
Nature. 2017 Mar 15;543(7645):288. doi: 10.1038/543288b.
7
A Path Forward for Reproducibility.实现可重复性的前进道路。
EBioMedicine. 2016 May;7:1. doi: 10.1016/j.ebiom.2016.05.020. Epub 2016 May 19.
8
Reproducibility in ecological research.生态研究中的可重复性
Science. 2014 Dec 12;346(6215):1307. doi: 10.1126/science.346.6215.1307-c.
9
The long road to reproducibility.通往可重复性的漫长道路。
Nat Cell Biol. 2015 Dec;17(12):1513-4. doi: 10.1038/ncb3283.
10
Journals unite for reproducibility.期刊为可重复性而联合。
Science. 2014 Nov 7;346(6210):679. doi: 10.1126/science.aaa1724.
引用本文的文献
1
Detection of motor-related mu rhythm desynchronization by ear EEG.通过耳部脑电图检测与运动相关的μ节律去同步化。
PLoS One. 2025 Apr 8;20(4):e0321107. doi: 10.1371/journal.pone.0321107. eCollection 2025.
2
Baby Brains at Work: How Task-Based Functional Magnetic Resonance Imaging Can Illuminate the Early Emergence of Psychiatric Risk.婴儿大脑在工作：任务型功能磁共振成像如何阐明精神疾病风险的早期出现。
Biol Psychiatry. 2023 May 15;93(10):880-892. doi: 10.1016/j.biopsych.2023.01.010. Epub 2023 Jan 20.
3
Looking Back on My Time as Editor-in-Chief.回首我担任主编的时光。
J Neurosci. 2022 Dec 14;42(50):9294-9295. doi: 10.1523/JNEUROSCI.2137-22.2022.
4
A Systematic, Open-Science Framework for Quantification of Cell-Types in Mouse Brain Sections Using Fluorescence Microscopy.一种使用荧光显微镜对小鼠脑切片中的细胞类型进行定量分析的系统开放科学框架。
Front Neuroanat. 2021 Dec 6;15:722443. doi: 10.3389/fnana.2021.722443. eCollection 2021.
5
Reassessing associations between white matter and behaviour with multimodal microstructural imaging.采用多模态微观结构成像技术重新评估脑白质与行为之间的关联。
Cortex. 2021 Dec;145:187-200. doi: 10.1016/j.cortex.2021.08.017. Epub 2021 Oct 8.
6
Development of brain atlases for early-to-middle adolescent collision-sport athletes.为青少年早期到中期的碰撞运动运动员开发大脑图谱。
Sci Rep. 2021 Mar 19;11(1):6440. doi: 10.1038/s41598-021-85518-6.
7
Analysis of Consistency in Structural and Functional Connectivity of Human Brain.人类大脑结构与功能连接的一致性分析
Proc IEEE Int Symp Biomed Imaging. 2020 Apr;2020:1694-1697. doi: 10.1109/isbi45749.2020.9098412. Epub 2020 May 22.
8
Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective.研究综述：青少年抑郁症的脑网络连接与异质性——精准心理健康视角。
J Child Psychol Psychiatry. 2020 Dec;61(12):1282-1298. doi: 10.1111/jcpp.13250. Epub 2020 May 26.
9
Consideration of Sample Size in Neuroscience Studies.神经科学研究中的样本量考量。
J Neurosci. 2020 May 20;40(21):4076-4077. doi: 10.1523/JNEUROSCI.0866-20.2020.
10
Connectomic consistency: a systematic stability analysis of structural and functional connectivity.连接组一致性：结构和功能连接的系统稳定性分析
J Neural Eng. 2020 Jul 13;17(4):045004. doi: 10.1088/1741-2552/ab947b.
本文引用的文献
1
A manifesto for reproducible science.可重复科学宣言。
Nat Hum Behav. 2017 Jan 10;1(1):0021. doi: 10.1038/s41562-016-0021.
2
Power-up: A Reanalysis of 'Power Failure' in Neuroscience Using Mixture Modeling.启动：使用混合模型对神经科学中“电源故障”的重新分析。
J Neurosci. 2017 Aug 23;37(34):8051-8061. doi: 10.1523/JNEUROSCI.3592-16.2017. Epub 2017 Jul 13.
3
Progress toward openness, transparency, and reproducibility in cognitive neuroscience.认知神经科学在开放性、透明度和可重复性方面的进展。
Ann N Y Acad Sci. 2017 May;1396(1):5-18. doi: 10.1111/nyas.13325. Epub 2017 May 2.
4
Best practices in data analysis and sharing in neuroimaging using MRI.使用磁共振成像（MRI）进行神经成像数据分析与共享的最佳实践。
Nat Neurosci. 2017 Feb 23;20(3):299-303. doi: 10.1038/nn.4500.
5
Scanning the horizon: towards transparent and reproducible neuroimaging research.审视前沿：迈向透明且可重复的神经影像学研究。
Nat Rev Neurosci. 2017 Feb;18(2):115-126. doi: 10.1038/nrn.2016.167. Epub 2017 Jan 5.
6
Publication and other reporting biases in cognitive sciences: detection, prevalence, and prevention.认知科学中的出版及其他报告偏倚：检测、发生率及预防
Trends Cogn Sci. 2014 May;18(5):235-41. doi: 10.1016/j.tics.2014.02.010. Epub 2014 Mar 18.
7
Introduction to the special issue on reliability and replication in cognitive and affective neuroscience research.认知与情感神经科学研究中的可靠性与可重复性特刊引言
Cogn Affect Behav Neurosci. 2013 Dec;13(4):687-9. doi: 10.3758/s13415-013-0201-7.
8
Power failure: why small sample size undermines the reliability of neuroscience.停电：为什么小样本量会破坏神经科学的可靠性。
Nat Rev Neurosci. 2013 May;14(5):365-76. doi: 10.1038/nrn3475. Epub 2013 Apr 10.
9
Good practice for conducting and reporting MEG research.脑磁图（MEG）研究的良好实践。
Neuroimage. 2013 Jan 15;65:349-63. doi: 10.1016/j.neuroimage.2012.10.001. Epub 2012 Oct 6.
10
Circular analysis in systems neuroscience: the dangers of double dipping.系统神经科学中的循环分析：二次利用数据的风险。
Nat Neurosci. 2009 May;12(5):535-40. doi: 10.1038/nn.2303.
Zotero 插件