Potential Reporting Bias in fMRI Studies of the Brain

PLoS ONE

Volumn 8, Issue 7, 2013, Pages

  David, Sean P ^a,b,c   Ware, Jennifer J ^c,d   Chu, Isabella M ^a   Loftus, Pooja D ^a   Fusar Poli, Paolo ^e   Radua, Joaquim ^e   Munafò, Marcus R ^c   Ioannidis, John P A ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b SRI INTERNATIONAL   (United States)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d CARDIFF UNIVERSITY   (United Kingdom)

^e KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN FUNCTION; BRAIN REGION; CORRELATION COEFFICIENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; IMAGE ANALYSIS; IMAGE PROCESSING; PROCESS MODEL; SAMPLE SIZE; SENSITIVITY ANALYSIS;

BRAIN; DATABASES, BIBLIOGRAPHIC; HUMANS; MAGNETIC RESONANCE IMAGING; PUBLICATION BIAS; RESEARCH DESIGN; SAMPLE SIZE; STATISTICS AS TOPIC;

EID: 84880834861     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0070104     Document Type: Article

References (36)

1. Faro SH, Mohamed FB (2010) Functional MRI: Basic Principles and Clinical Applications: Springer.
2. Poldrack RA, Mumford JA, Nichols TE (2011) Handbook of Functional MRI Data Analysis. New York, NY: Cambridge University Press.
3. McGuire P, Howes OD, Stone J, Fusar-Poli P, (2008) Functional neuroimaging in schizophrenia: diagnosis and drug discovery. Trends Pharmacol Sci 29: 91-98.
4. Turkeltaub PE, Eden GF, Jones KM, Zeffiro TA, (2002) Meta-analysis of the functional neuroanatomy of single-word reading: method and validation. Neuroimage 16: 765-780.
5. Radua J, Mataix-Cols D, (2009) Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. Br J Psychiatry 195: 393-402.
6. Albrecht J, Kopietz R, Frasnelli J, Wiesmann M, Hummel T, et al. (2010) The neuronal correlates of intranasal trigeminal function-an ALE meta-analysis of human functional brain imaging data. Brain Research Reviews 62: 183-196.
7. Amanzio M, Benedetti F, Porro CA, Palermo S, Cauda F (2011) Activation likelihood estimation meta-analysis of brain correlates of placebo analgesia in human experimental pain. Human Brain Mapping.
8. Arsalidou M, Morris D, Taylor MJ, (2011) Converging evidence for the advantage of dynamic facial expressions. Brain Topography 24: 149-163.
9. Brooks SJ, Savov V, Allzén E, Benedict C, Fredriksson R, et al. (2012) Exposure to subliminal arousing stimuli induces robust activation in the amygdala, hippocampus, anterior cingulate, insular cortex and primary visual cortex: a systematic meta-analysis of fMRI studies. NeuroImage 59: 2962-2973.
10. Brown S, Gao X, Tisdelle L, Eickhoff SB, Liotti M, (2011) Naturalizing aesthetics: brain areas for aesthetic appraisal across sensory modalities. NeuroImage 58: 250-258.
11. Bzdok D, Langner R, Caspers S, Kurth F, Habel U, et al. (2011) ALE meta-analysis on facial judgments of trustworthiness and attractiveness. Brain Struct Funct 215: 209-223.
12. Caspers S, Zilles K, Laird AR, Eickhoff SB, (2010) ALE meta-analysis of action observation and imitation in the human brain. Neuroimage 50: 1148-1167.
13. Eickhoff SB, Laird AR, Grefkes C, Wang LE, Zilles K, et al. (2009) Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty. Hum Brain Mapp 30: 2907-2926.
14. Easterbrook PJ, Berlin JA, Gopalan R, Matthews DR, (1991) Publication bias in clinical research. Lancet 337: 867-876.
15. Dwan K, Altman DG, Arnaiz JA, Bloom J, Chan AW, et al. (2008) Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS ONE 3.
16. Ioannidis JPA, (2011) Excess significance bias in the literature on brain volume abnormalities. Archives of General Psychiatry 68: 773-780.
17. Moher D, Liberati A, Tetzlaff J, Altman DG, (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6: e1000097.
18. Madre M, Pomarol-Clotet E, McKenna P, Radua J, Ortiz-Gil J, et al. (2012) Brain functional abnormality in schizo-affective disorder: an fMRI study. Psychol Med 43: 143-153.
19. Friston KJ, Holmes AP, Worsley KJ, (1999) How many subjects constitute a study? Neuroimage 10: 1-5.
20. Friston K, (2012) Ten ironic rules for non-statistical reviewers. Neuroimage 61: 1300-1310.
21. Desmond JE, Glover GH, (2002) Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. J Neurosci Methods 118: 115-128.
22. Ingre M (2013) Why small low-powered studies are worse than large high-powered studies and how to protect against "trivial" findings in research: Comment on Friston (2012). Neuroimage.
23. Lindquist MA, Caffo B, Crainiceanu C (2013) Ironing out the statistical wrinkles in "ten ironic rules". Neuroimage.
24. Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, et al. (2013) Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14: 365-376.
25. Brown GG, Mathalon DH, Stern H, Ford J, Mueller B, et al. (2011) Multisite reliability of cognitive BOLD data. Neuroimage 54: 2163-2175.
26. Gountouna VE, Job DE, McIntosh AM, Moorhead TW, Lymer GK, et al. (2009) Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task. Neuroimage 49: 552-560.
27. Fusar-Poli P, Borgwardt S, Crescini A, Deste G, Kempton MJ, et al. (2010) Neuroanatomy of vulnerability to psychosis: a voxel-based meta-analysis. Neurosci Biobehav Rev 35: 1175-1185.
28. Fusar-Poli P, Radua J, McGuire P, Borgwardt S (2011) Neuroanatomical Maps of Psychosis Onset: Voxel-wise Meta-Analysis of Antipsychotic-Naive VBM Studies. Schizophr Bull.
29. Ziermans TB, Durston S, Sprong M, Nederveen H, van Haren NE, et al. (2009) No evidence for structural brain changes in young adolescents at ultra high risk for psychosis. Schizophr Res 112: 1-6.
30. Sterne JA, Sutton AJ, Ioannidis JP, Terrin N, Jones DR, et al. (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 343: d4002.
31. Lau J, Ioannidis JP, Terrin N, Schmid CH, Olkin I, (2006) The case of the misleading funnel plot. BMJ 333: 597-600.
32. Eickhoff SB, Bzdok D, Laird AR, Kurth F, Fox PT, (2012) Activation likelihood estimation meta-analysis revisited. Neuroimage 59: 2349-2361.
33. Radua J, Mataix-Cols D, (2012) Meta-analytic methods for neuroimaging data explained. Biol Mood Anxiety Disord 2: 6.
34. Radua J, Mataix-Cols D, Phillips ML, El-Hage W, Kronhaus DM, et al. (2011) A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Eur Psychiatry.
35. Kavvoura FK, McQueen MB, Khoury MJ, Tanzi RE, Bertram L, et al. (2008) Evaluation of the potential excess of statistically significant findings in published genetic association studies: application to Alzheimer's disease. Am J Epidemiol 168: 855-865.
36. Ioannidis JP, Trikalinos TA, (2007) An exploratory test for an excess of significant findings. Clin Trials 4: 245-253.