Kong, XZ, ENIGMA Laterality Working Group, , Brooks, SJ and Francks, C (2020) Reproducibility in the absence of selective reporting: An illustration from large-scale brain asymmetry research. Human Brain Mapping, 43 (1). pp. 244-254. ISSN 1065-9471

Preview

Text Reproducibility in the absence of selective reporting An illustration from large-scale brain asymmetry research.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left–right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an “ideal publishing environment,” that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes.

Item Type:	Article
Uncontrolled Keywords:	ENIGMA Laterality Working Group; Cerebral Cortex; Humans; Magnetic Resonance Imaging; Reproducibility of Results; Publication Bias; Adolescent; Adult; Aged; Middle Aged; Multicenter Studies as Topic; Young Adult; Neuroimaging; Datasets as Topic; Brain Cortical Thickness; P-hacking; multisite collaboration; publication bias; reproducibility; team science; Adolescent; Adult; Aged; Brain Cortical Thickness; Cerebral Cortex; Datasets as Topic; Humans; Magnetic Resonance Imaging; Middle Aged; Multicenter Studies as Topic; Neuroimaging; Publication Bias; Reproducibility of Results; Young Adult; 1109 Neurosciences; 1702 Cognitive Sciences; Experimental Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Divisions:	Psychology (from Sep 2019)
Publisher:	Wiley
SWORD Depositor:	A Symplectic
Date Deposited:	05 Nov 2024 15:45
Last Modified:	05 Nov 2024 15:45
DOI or ID number:	10.1002/hbm.25154
URI:	https://researchonline.ljmu.ac.uk/id/eprint/24673

View Item