Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders

Author:

Backhausen Lea L.ORCID,Herting Megan M.,Tamnes Christian K.,Vetter Nora C.

Abstract

AbstractStructural magnetic resonance imaging (sMRI) offers immense potential for increasing our understanding of how anatomical brain development relates to clinical symptoms and functioning in neurodevelopmental disorders. Clinical developmental sMRI may help identify neurobiological risk factors or markers that may ultimately assist in diagnosis and treatment. However, researchers and clinicians aiming to conduct sMRI studies of neurodevelopmental disorders face several methodological challenges. This review offers hands-on guidelines for clinical developmental sMRI. First, we present brain morphometry metrics and review evidence on typical developmental trajectories throughout adolescence, together with atypical trajectories in selected neurodevelopmental disorders. Next, we discuss challenges and good scientific practices in study design, image acquisition and analysis, and recent options to implement quality control. Finally, we discuss choices related to statistical analysis and interpretation of results. We call for greater completeness and transparency in the reporting of methods to advance understanding of structural brain alterations in neurodevelopmental disorders.

Funder

Deutsche Forschungsgemeinschaft

Foundation for the National Institutes of Health

Research Council of Norway

South-Eastern Norway Regional Health Authority

Universitätsklinikum Carl Gustav Carus Dresden an der Technischen Universität Dresden

Publisher

Springer Science and Business Media LLC

Subject

Neuropsychology and Physiological Psychology

Reference137 articles.

1. Ai, L., Craddock, R. C., Tottenham, N., Dyke, J. P., Lim, R., Colcombe, S., Milham, M., & Franco, A. R. (2020). Is it Time to Switch Your T1W Sequence? Assessing the Impact of Prospective Motion Correction on the Reliability and Quality of Structural Imaging. NeuroImage, 117585. https://doi.org/10.1016/j.neuroimage.2020.117585

2. Aickin, M., & Gensler, H. (1996). Adjusting for multiple testing when reporting research results: The Bonferroni vs Holm methods. American Journal of Public Health, 86(5), 726–728. https://doi.org/10.2105/ajph.86.5.726

3. Alexander-Bloch, A. F., Raznahan, A., Vandekar, S. N., Seidlitz, J., Lu, Z., Matthias, S. R., Knowles, E., Mollon, J., Rodrigue, A., Curran, J. E., Görring, H. H. H., Satterthwaite, T. D., Gur, R. E., Bassett, D. S., Hoftman, G. D., Pearlson, G., Shinohara, R. T., Liu, S., Fox, P. T., & Glahn, D. C. (2020). Imaging local genetic influences on cortical folding. Proceedings of the National Academy of Sciences, 117(13), 7430–7436. https://doi.org/10.1073/pnas.1912064117

4. Alexander-Bloch, A., Raznahan, A., Bullmore, E., & Giedd, J. (2013). The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks. Journal of Neuroscience, 33(7), 2889–2899. https://doi.org/10.1523/JNEUROSCI.3554-12.2013

5. Ambrosino, S., de Zeeuw, P., Wierenga, L. M., van Dijk, S., & Durston, S. (2017). What can Cortical Development in Attention-Deficit/Hyperactivity Disorder Teach us About the Early Developmental Mechanisms Involved? Cerebral Cortex, 27(9), 4624–4634. https://doi.org/10.1093/cercor/bhx182

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3