Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations

被引:0
作者
Freya Acar
Camille Maumet
Talia Heuten
Maya Vervoort
Han Bossier
Ruth Seurinck
Beatrijs Moerkerke
机构
[1] Ghent University,Department of Data
[2] Empenn ERL U 1228,Analysis, Faculty of Psychology and Educational Science
来源
Neuroinformatics | 2024年 / 22卷
关键词
fMRI; Meta-analysis; Review; CBMA;
D O I
暂无
中图分类号
学科分类号
摘要
Decisions made during the analysis or reporting of an fMRI study influence the eligibility of that study to be entered into a meta-analysis. In a meta-analysis, results of different studies on the same topic are combined. To combine the results, it is necessary that all studies provide equivalent pieces of information. However, in task-based fMRI studies we see a large variety in reporting styles. Several specific meta-analysis methods have been developed to deal with the reporting practices occurring in task-based fMRI studies, therefore each requiring a specific type of input. In this manuscript we provide an overview of the meta-analysis methods and the specific input they require. Subsequently we discuss how decisions made during the study influence the eligibility of a study for a meta-analysis and finally we formulate some recommendations about how to report an fMRI study so that it complies with as many meta-analysis methods as possible.
引用
收藏
页码:5 / 22
页数:17
相关论文
共 169 条
  • [21] Cox RW(2008)What we can do and what we cannot do with fMRI Nature 453 869-878
  • [22] Hyde JS(2016)Sharing brain mapping statistical results with the neuroimaging data model Scientific Data 3 1-15
  • [23] Durnez J(2013)Neuroergonomics: a review of applications to physical and cognitive work Frontiers in human neuroscience 7 889-161
  • [24] Moerkerke B(2018)Ten simple rules for neuroimaging meta-analysis Neuroscience Biobehavioral Reviews 84 151-268
  • [25] Nichols TE(2008)Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation NeuroImage 39 261-126
  • [26] Eickhoff SB(2014)Misconceptions in the use of the General Linear Model applied to functional MRI: A tutorial for junior neuro-imagers Frontiers in Neuroscience 18 115-402
  • [27] Nichols TE(2017)Scanning the horizon: towards transparent and reproducible neuroimaging research Nature Reviews Neuroscience 195 393-11
  • [28] Laird AR(2009)Voxel-wise meta-analysis of grey matter changes in obsessive−compulsive disorder The British Journal of Psychiatry 2 1-711
  • [29] Hoffstaedter F(2012)Meta-analytic methods for neuroimaging data explained Biology of Mood & Anxiety Disorders 67 701-611
  • [30] Amunts K(2010)Meta-analytical comparison of voxel-based morphometry studies in obsessive compulsive disorder vs other anxiety disorders Archives of General Psychiatry 27 605-8