Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing

NeuroImage

Volumn 142, Issue , 2016, Pages 55-66

  Lombardo, Michael V ^a,b   Auyeung, Bonnie ^b,c   Holt, Rosemary J ^b   Waldman, Jack ^b   Ruigrok, Amber N V ^b   Mooney, Natasha ^b   Bullmore, Edward T ^d   Baron Cohen, Simon ^b   Kundu, Prantik ^e  

^a UNIVERSITY OF CYPRUS   (Cyprus)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^e MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

Cerebellum; Denoising; Mentalizing; Multi echo EPI; Statistical power; Task fMRI

Indexed keywords

ADOLESCENT; ARTICLE; ARTIFACT REDUCTION; CEREBELLUM; CLINICAL TRIAL; DENOISING; ECHO PLANAR IMAGING; EFFECT SIZE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; MALE; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RESTING STATE NETWORK; SAMPLE SIZE; SOCIAL COGNITION; THEORY OF MIND; BRAIN; BRAIN MAPPING; DIAGNOSTIC IMAGING; PHYSIOLOGY; PROCEDURES; STATISTICAL ANALYSIS;

ADOLESCENT; BRAIN; BRAIN MAPPING; CEREBELLUM; DATA INTERPRETATION, STATISTICAL; ECHO-PLANAR IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; THEORY OF MIND;

EID: 84993986313     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.07.022     Document Type: Article

References (57)

1. Andrews-Hanna, J.R., Saxe, R., Yarkoni, T., Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses. NeuroImage 91 (2014), 324–335.
2. Baron-Cohen, S., Leslie, A.M., Frith, U., Does the autistic child have a “theory of mind”?. Cognition 21 (1985), 37–46.
3. Buckner, R.L., The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging. Neuron 80 (2013), 807–815.
4. Buckner, R.L., Krienen, F.M., Castellanos, A., Diaz, J.C., Yeo, B.T., The organization of the human cerebellum estimated by intrinsic functional connectivity. J. Neurophysiol. 106 (2011), 2322–2345.
5. Button, K.S., Ioannidis, J.P., Mokrysz, C., Nosek, B.A., Flint, J., Robinson, E.S., Munafo, M.R., Power failure: why small sample size undermines the reliability of neuroscience. Nat. Rev. Neurosci. 14 (2013), 365–376.
6. Courchesne, E., Yeung-Courchesne, R., Press, G.A., Hesselink, J.R., Jernigan, T.L., Hypoplasia of cerebellar vermal lobules VI and VII in autism. N. Engl. J. Med. 318 (1988), 1349–1354.
7. Desmond, J.E., Glover, G.H., Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. J. Neurosci. Methods 118 (2002), 115–128.
8. Evans, J.W., Kundu, P., Horovitz, S.G., Bandettini, P.A., Separating slow BOLD from non-BOLD baseline drifts using multi-echo fMRI. NeuroImage 105 (2015), 189–197.
9. Friston, K., Ten ironic rules for non-statistical reviewers. NeuroImage 61 (2012), 1300–1310.
10. Frith, U., Frith, C.D., Development and neurophysiology of mentalizing. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 358 (2003), 459–473.
11. Genovese, C.R., Lazar, N.A., Nichols, T., Thresholding of statistical maps in functional neuroimaging using the false discovery rate. NeuroImage 15 (2002), 870–878.
12. Gweon, H., Dodell-Feder, D., Bedny, M., Saxe, R., Theory of mind performance in children correlates with functional specialization of a brain region for thinking about thoughts. Child Dev. 83 (2012), 1853–1868.
13. Ioannidis, J.P., Why most published research findings are false. PLoS Med., 2, 2005, e124.
14. Ito, M., Control of mental activities by internal models in the cerebellum. Nat. Rev. Neurosci. 9 (2008), 304–313.
15. Jenkins, A.C., Macrae, C.N., Mitchell, J.P., Repetition suppression of ventromedial prefrontal activity during judgments of self and others. Proc. Natl. Acad. Sci. U. S. A. 105 (2008), 4507–4512.
16. Kamitani, Y., Sawahata, Y., Spatial smoothing hurts localization but not information: pitfalls for brain mappers. NeuroImage 49 (2010), 1949–1952.
17. Kay, K.N., Rokem, A., Winawer, J., Dougherty, R.F., Wandell, B.A., GLMdenoise: a fast, automated technique for denoising task-based fMRI data. Front. Neurosci., 7, 2013, 247.
18. Kirilina, E., Lutti, A., Poser, B.A., Blankenburg, F., Weiskopf, N., The quest for the best: the impact of different EPI sequences on the sensitivity of random effect fMRI group analyses. NeuroImage 126 (2016), 49–59.
19. Kriegeskorte, N., Mur, M., Bandettini, P., Representational similarity analysis — connecting the branches of systems neuroscience. Front. Syst. Neurosci., 2, 2008, 4.
20. Kriegeskorte, N., Cusack, R., Bandettini, P., How does an fMRI voxel sample the neuronal activity pattern: compact-kernel or complex spatiotemporal filter?. NeuroImage 49 (2010), 1965–1976.
21. Kundu, P., Inati, S.J., Evans, J.W., Luh, W.M., Bandettini, P.A., Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI. NeuroImage 60 (2012), 1759–1770.
22. Kundu, P., Brenowitz, N.D., Voon, V., Worbe, Y., Vertes, P.E., Inati, S.J., Saad, Z.S., Bandettini, P.A., Bullmore, E.T., Integrated strategy for improving functional connectivity mapping using multiecho fMRI. Proc. Natl. Acad. Sci. U. S. A. 110 (2013), 16187–16192.
23. Kundu, P., Santin, M.D., Bandettini, P.A., Bullmore, E.T., Petiet, A., Differentiating BOLD and non-BOLD signals in fMRI time series from anesthetized rats using multi-echo EPI at 11.7 T. NeuroImage 102:Pt 2 (2014), 861–874.
24. Kundu, P., Benson, B.E., Baldwin, K.L., Rosen, D., Luh, W.M., Bandettini, P.A., Pine, D.S., Ernst, M., Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition. Brain Imaging Behav., 2015.
25. Lai, M.C., Lombardo, M.V., Baron-Cohen, S., Autism. Lancet 383 (2014), 896–910.
26. Laumann, T.O., Gordon, E.M., Adeyemo, B., Snyder, A.Z., Joo, S.J., Chen, M.Y., Gilmore, A.W., McDermott, K.B., Nelson, S.M., Dosenbach, N.U., Schlaggar, B.L., Mumford, J.A., Poldrack, R.A., Petersen, S.E., Functional system and areal organization of a highly sampled individual human brain. Neuron 87 (2015), 657–670.
27. Lindquist, M.A., Caffo, B., Crainiceanu, C., Ironing out the statistical wrinkles in “ten ironic rules”. NeuroImage 81 (2013), 499–502.
28. Lombardo, M.V., Baron-Cohen, S., Unraveling the paradox of the autistic self. WIREs Cognit. Sci. 1 (2010), 393–403.
29. Lombardo, M.V., Baron-Cohen, S., The role of the self in mindblindness in autism. Conscious. Cogn. 20 (2011), 130–140.
30. Lombardo, M.V., Chakrabarti, B., Bullmore, E.T., Sadek, S.A., Wheelwright, S.J., Pasco, G., Suckling, J., Consortium, M.A., Baron-Cohen, S., Atypical neural self-representation in autism. Brain 133 (2010), 611–624.
31. Lombardo, M.V., Chakrabarti, B., Bullmore, E.T., Wheelwright, S.J., Sadek, S.A., Suckling, J., Consortium, M.A., Baron-Cohen, S., Shared neural circuits for mentalizing about the self and others. J. Cogn. Neurosci. 22 (2010), 1623–1635.
32. Lombardo, M.V., Chakrabarti, B., Bullmore, E.T., Consortium, M.A., Baron-Cohen, S., Specialization of right temporo-parietal junction for mentalizing and its association with social impairments in autism. NeuroImage 56 (2011), 1832–1838.
33. Lombardo, M.V., Pierce, K., Eyler, L., Carter Barnes, C., Ahrens-Barbeau, C., Solso, S., Campbell, K., Courchesne, E., Different functional neural substrates for good and poor language outcome in autism. Neuron, 2015.
34. Mitchell, J.P., Macrae, C.N., Banaji, M.R., Dissociable medial prefrontal contributions to judgments of similar and dissimilar others. Neuron 50 (2006), 655–663.
35. Mumford, J.A., Nichols, T.E., Power calculation for group fMRI studies accounting for arbitrary design and temporal autocorrelation. NeuroImage 39 (2008), 261–268.
36. Murphy, K., Birn, R.M., Bandettini, P.A., Resting-state fMRI confounds and cleanup. NeuroImage 80 (2013), 349–359.
37. Norman, K.A., Polyn, S.M., Detre, G.J., Haxby, J.V., Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends Cogn. Sci. 10 (2006), 424–430.
38. Olafsson, V., Kundu, P., Wong, E.C., Bandettini, P.A., Liu, T.T., Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA. NeuroImage, 2015.
39. Op de Beeck, H.P., Against hyperacuity in brain reading: spatial smoothing does not hurt multivariate fMRI analyses?. NeuroImage 49 (2010), 1943–1948.
40. Posse, S., Wiese, S., Gembris, D., Mathiak, K., Kessler, C., Grosse-Ruyken, M.L., Elghahwagi, B., Richards, T., Dager, S.R., Kiselev, V.G., Enhancement of BOLD-contrast sensitivity by single-shot multi-echo functional MR imaging. Magn. Reson. Med. 42 (1999), 87–97.
41. Saxe, R., Powell, L.J., It's the thought that counts: specific brain regions for one component of theory of mind. Psychol. Sci. 17 (2006), 692–699.
42. Schaafsma, S.M., Pfaff, D.W., Spunt, R.P., Adolphs, R., Deconstructing and reconstructing theory of mind. Trends Cogn. Sci. 19 (2015), 65–72.
43. Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., Vogeley, K., Toward a second-person neuroscience. Behav. Brain Sci. 36 (2013), 393–414.
44. Schmahmann, J.D., The Cerebellum and Cognition. 1997, Academic Press, London.
45. Schurz, M., Radua, J., Aichhorn, M., Richlan, F., Perner, J., Fractionating theory of mind: a meta-analysis of functional brain imaging studies. Neurosci. Biobehav. Rev. 42 (2014), 9–34.
46. Simmons, J.P., Nelson, L.D., Simonsohn, U., False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychol. Sci. 22 (2011), 1359–1366.
47. Smith, S.M., Beckmann, C.F., Andersson, J., Auerbach, E.J., Bijsterbosch, J., Douaud, G., Duff, E., Feinberg, D.A., Griffanti, L., Harms, M.P., Kelly, M., Laumann, T., Miller, K.L., Moeller, S., Petersen, S., Power, J., Salimi-Khorshidi, G., Snyder, A.Z., Vu, A.T., Woolrich, M.W., Xu, J., Yacoub, E., Ugurbil, K., Van Essen, D.C., Glasser, M.F., Consortium, W.U.-M.H., Resting-state fMRI in the human connectome project. NeuroImage 80 (2013), 144–168.
48. Spunt, R.P., Adolphs, R., Validating the why/how contrast for functional MRI studies of theory of mind. NeuroImage 99 (2014), 301–311.
49. Stoodley, C.J., Schmahmann, J.D., Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. NeuroImage 44 (2009), 489–501.
50. van Overwalle, F., Social cognition and the brain: a meta-analysis. Hum. Brain Mapp. 30 (2009), 829–858.
51. van Overwalle, F., Baetens, K., Marien, P., Vandekerckhove, M., Social cognition and the cerebellum: a meta-analysis of over 350 fMRI studies. NeuroImage 86 (2014), 554–572.
52. van Overwalle, F., Baetens, K., Marien, P., Vandekerckhove, M., Cerebellar areas dedicated to social cognition? A comparison of meta-analytic and connectivity results. Soc. Neurosci., 2015, 1–8.
53. Wager, T.D., Keller, M.C., Lacey, S.C., Jonides, J., Increased sensitivity in neuroimaging analyses using robust regression. NeuroImage 26 (2005), 99–113.
54. Wang, S.S., Kloth, A.D., Badura, A., The cerebellum, sensitive periods, and autism. Neuron 83 (2014), 518–532.
55. Yarkoni, T., Big correlations in little studies: inflated fMRI correlations reflect low statistical power — commentary on Vul et al.(2009). Perspect. Psychol. Sci. 4 (2009), 294–298.
56. Yarkoni, T., Poldrack, R.A., Nichols, T.E., Van Essen, D.C., Wager, T.D., Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 8 (2011), 665–670.
57. Zaki, J., Weber, J., Bolger, N., Ochsner, K., The neural bases of empathic accuracy. Proc. Natl. Acad. Sci. U. S. A. 106 (2009), 11382–11387.