Literature DB >> 23839069

Better living through transparency: improving the reproducibility of fMRI results through comprehensive methods reporting.

Joshua Carp1.   

Abstract

Recent studies suggest that a greater proportion of published scientific findings than expected cannot be replicated. The field of functional neuroimaging research is no exception to this trend, with estimates of false positive results ranging from 10 % to 40 %. While false positive results in neuroimaging studies stem from a variety of causes, incomplete methodological reporting is perhaps the most obvious: Most published reports of neuroimaging studies provide ambiguous or incomplete descriptions of their methods and results. If neuroimaging researchers do not report methods and results in adequate detail, independent scientists can neither check their work for errors nor accurately replicate their efforts. Thus, I argue that comprehensive methods reporting is essential for reproducible research. I recommend three strategies for improving transparency and reproducibility in neuroimaging research: improving natural language descriptions of research protocols; sharing source code for data collection and analysis; and sharing formal, machine-readable representations of methods and results. Last, I discuss the technological and cultural barriers to implementing these recommendations and suggest steps toward overcoming those barriers.

Entities:  

Mesh:

Year:  2013        PMID: 23839069     DOI: 10.3758/s13415-013-0188-0

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.526


  26 in total

Review 1.  The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomized trials.

Authors:  D Moher; K F Schulz; D Altman
Journal:  JAMA       Date:  2001-04-18       Impact factor: 56.272

2.  The case for open computer programs.

Authors:  Darrel C Ince; Leslie Hatton; John Graham-Cumming
Journal:  Nature       Date:  2012-02-22       Impact factor: 49.962

3.  Drug development: Raise standards for preclinical cancer research.

Authors:  C Glenn Begley; Lee M Ellis
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

4.  False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant.

Authors:  Joseph P Simmons; Leif D Nelson; Uri Simonsohn
Journal:  Psychol Sci       Date:  2011-10-17

Review 5.  Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review.

Authors:  Amy C Plint; David Moher; Andra Morrison; Kenneth Schulz; Douglas G Altman; Catherine Hill; Isabelle Gaboury
Journal:  Med J Aust       Date:  2006-09-04       Impact factor: 7.738

6.  Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009).

Authors:  Tal Yarkoni
Journal:  Perspect Psychol Sci       Date:  2009-05

Review 7.  The secret lives of experiments: methods reporting in the fMRI literature.

Authors:  Joshua Carp
Journal:  Neuroimage       Date:  2012-07-10       Impact factor: 6.556

Review 8.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

9.  Towards structured sharing of raw and derived neuroimaging data across existing resources.

Authors:  D B Keator; K Helmer; J Steffener; J A Turner; T G M Van Erp; S Gadde; N Ashish; G A Burns; B N Nichols
Journal:  Neuroimage       Date:  2013-05-30       Impact factor: 6.556

Review 10.  Evaluating the consistency and specificity of neuroimaging data using meta-analysis.

Authors:  Tor D Wager; Martin A Lindquist; Thomas E Nichols; Hedy Kober; Jared X Van Snellenberg
Journal:  Neuroimage       Date:  2008-11-20       Impact factor: 6.556

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  9 in total

1.  Repeatability of language fMRI lateralization and localization metrics in brain tumor patients.

Authors:  Shruti Agarwal; Jun Hua; Haris I Sair; Sachin Gujar; Chetan Bettegowda; Hanzhang Lu; Jay J Pillai
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

Review 2.  The reporting of observational clinical functional magnetic resonance imaging studies: a systematic review.

Authors:  Qing Guo; Melissa Parlar; Wanda Truong; Geoffrey Hall; Lehana Thabane; Margaret McKinnon; Ron Goeree; Eleanor Pullenayegum
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

Review 3.  Data to knowledge: how to get meaning from your result.

Authors:  Helen M Berman; Margaret J Gabanyi; Colin R Groom; John E Johnson; Garib N Murshudov; Robert A Nicholls; Vijay Reddy; Torsten Schwede; Matthew D Zimmerman; John Westbrook; Wladek Minor
Journal:  IUCrJ       Date:  2015-01-01       Impact factor: 4.769

4.  First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage.

Authors:  Ian A Clark; Katherine E Niehaus; Eugene P Duff; Martina C Di Simplicio; Gari D Clifford; Stephen M Smith; Clare E Mackay; Mark W Woolrich; Emily A Holmes
Journal:  Behav Res Ther       Date:  2014-08-04

5.  Sharing brain mapping statistical results with the neuroimaging data model.

Authors:  Camille Maumet; Tibor Auer; Alexander Bowring; Gang Chen; Samir Das; Guillaume Flandin; Satrajit Ghosh; Tristan Glatard; Krzysztof J Gorgolewski; Karl G Helmer; Mark Jenkinson; David B Keator; B Nolan Nichols; Jean-Baptiste Poline; Richard Reynolds; Vanessa Sochat; Jessica Turner; Thomas E Nichols
Journal:  Sci Data       Date:  2016-12-06       Impact factor: 6.444

6.  What Has Replication Ever Done for Us? Insights from Neuroimaging of Speech Perception.

Authors:  Samuel Evans
Journal:  Front Hum Neurosci       Date:  2017-02-01       Impact factor: 3.169

7.  Sharing voxelwise neuroimaging results from rhesus monkeys and other species with Neurovault.

Authors:  Andrew S Fox; Daniel Holley; Peter Christiaan Klink; Spencer A Arbuckle; Carol A Barnes; Jörn Diedrichsen; Sze Chai Kwok; Colin Kyle; J Andrew Pruszynski; Jakob Seidlitz; XuFeng Zhou; Russell A Poldrack; Krzysztof J Gorgolewski
Journal:  Neuroimage       Date:  2020-10-31       Impact factor: 6.556

8.  The dissemination of brain imaging guidelines and recommendations.

Authors:  Andy Wai Kan Yeung; Pradeep Singh; Simon B Eickhoff
Journal:  IBRO Neurosci Rep       Date:  2021-12-02

9.  Effective connectivity during animacy perception--dynamic causal modelling of Human Connectome Project data.

Authors:  Hauke Hillebrandt; Karl J Friston; Sarah-Jayne Blakemore
Journal:  Sci Rep       Date:  2014-09-01       Impact factor: 4.379

  9 in total

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