Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies

Frontiers in Psychiatry

Volumn 5, Issue FEB, 2014, Pages

  Radua, Joaquim ^a,b   Rubia, Katya ^a   Canales Rodríguez, Erick Jorge ^b   Pomarol Clotet, Edith ^b   Fusar Poli, Paolo ^a   Mataix Cols, David ^a,c  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b CENTRO DE INVESTIGACIÓN BIOMÉDICA EN RED DE SALUD MENTAL CIBERSAM   (Spain)

^c KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Activation likelihood estimation; Anisotropic kernel; Coordinate based meta analysis; Effect size; Magnetic resonance imaging; Neuroimaging; Signed differential mapping

Indexed keywords

ANISOTROPY; ARTICLE; BOLD SIGNAL; EFFECT SIZE; FRACTIONAL ANISOTROPY; GRAY MATTER; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PROBABILITY; PROCESS OPTIMIZATION;

EID: 84895561988     PISSN: None     EISSN: 16640640     Source Type: Journal    
DOI: 10.3389/fpsyt.2014.00013     Document Type: Article

References (32)

1. Eickhoff SB, Bzdok D, Laird AR, Kurth F, Fox PT. Activation likelihood estimation meta-analysis revisited. Neuroimage (2012) 59:2349-61. doi: 10.1016/j.neuroimage.2011.09.017.
2. Turkeltaub PE, Eden GF, Jones KM, Zeffiro TA. Meta-analysis of the functional neuroanatomy of single-word reading: method and validation. Neuroimage (2002) 16:765-80. doi:10.1006/nimg.2002.1131.
3. Laird AR, Fox PM, Price CJ, Glahn DC, Uecker AM, Lancaster JL, et al. ALE meta-analysis: controlling the false discovery rate and performing statistical contrasts. Hum Brain Mapp (2005) 25:155-64. doi:10.1002/hbm.20136.
4. Eickhoff SB, Laird AR, Grefkes C, Wang LE, Zilles K, Fox PT. Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty. Hum Brain Mapp (2009) 30:2907-26. doi:10.1002/hbm.20718.
5. Radua J, Mataix-Cols D. Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. Br J Psychiatry (2009) 195:393-402. doi:10.1192/bjp.bp.108.055046.
6. Radua J, Mataix-Cols D, Phillips ML, El-Hage W, Kronhaus DM, Cardoner N, et al. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. Eur Psychiatry (2012) 27:605-11. doi:10.1016/j.eurpsy.2011.04.001.
7. Radua J, van den Heuvel OA, Surguladze S, Mataix-Cols D. Meta-analytical comparison of voxel-based morphometry studies in obsessive-compulsive disorder vs other anxiety disorders. Arch Gen Psychiatry (2010) 67:701-11. doi:10.1001/archgenpsychiatry.2010.70.
8. Wager TD, Barrett LF, Bliss-Moreau E, Lindquist K, Duncan S, Kober H, et al. The neuroimaging of emotion. In: Lewis M, Haviland-Jones JM, Barrett LF, editors. The Handbook of Emotion, 3rd Edn. New York: Guilford (2008). p. 249-71.
9. Wager TD, Phan KL, Liberzon I, Taylor SF. Valence, gender, and lateralization of functional brain anatomy in emotion: a meta-analysis of findings from neuroimaging. Neuroimage (2003) 19:513-31. doi:10.1016/S1053-8119(03)00078-8.
10. Kober H, Barrett LF, Joseph J, Bliss-Moreau E, Lindquist K, Wager TD. Functional grouping and cortical-subcortical interactions in emotion: a meta-analysis of neuroimaging studies. Neuroimage (2008) 42:998-1031. doi:10.1016/j.neuroimage.2008.03.059.
11. Rottschy C, Langner R, Dogan I, Reetz K, Laird AR, Schulz JB, et al. Modelling neural correlates of working memory: a coordinate-based meta-analysis. Neuroimage (2012) 60:830-46. doi:10.1016/j.neuroimage.2011.11.050.
12. Bohrn IC, Altmann U, Jacobs AM. Looking at the brains behind figurative language-a quantitative meta-analysis of neuroimaging studies on metaphor, idiom, and irony processing. Neuropsychologia (2013) 50:2669-83. doi:10.1016/j.neuropsychologia.2012.07.021.
13. Jacobs HI, Radua J, Luckmann HC, Sack AT. Meta-analysis of functional network alterations in Alzheimer's disease: toward a network biomarker. Neurosci Biobehav Rev (2013) 37:753-65. doi:10.1016/j.neubiorev.2013.03.009.
14. Lansley J, Mataix-Cols D, Grau M, Radua J, Sastre-Garriga J. Localized grey matter atrophy in multiple sclerosis: a meta-analysis of voxel-based morphometry studies and associations with functional disability. Neurosci Biobehav Rev (2013) 37:819-30. doi:10.1016/j.neubiorev.2013.03.006.
15. Dogan I, Eickhoff SB, Schulz JB, Shah NJ, Laird AR, Fox PT, et al. Consistent neurodegeneration and its association with clinical progression in Huntington's disease: a coordinate-based meta-analysis. Neurodegener Dis (2013) 12:23-35. doi:10.1159/000339528.
16. Hart H, Radua J, Nakao T, Mataix-Cols D, Rubia K. Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. JAMA Psychiatry (2013) 70:185-98. doi:10.1001/jamapsychiatry.2013.277.
17. Nortje G, Stein DJ, Radua J, Mataix-Cols D, Horn N. Systematic review and voxel-based meta-analysis of diffusion tensor imaging studies in bipolar disorder. J Affect Disord (2013) 150:192-200. doi:10.1016/j.jad.2013.05.034.
18. Nickl-Jockschat T, Schneider F, Pagel AD, Laird AR, Fox PT, Eickhoff SB. Progressive pathology is functionally linked to the domains of language and emotion: meta-analysis of brain structure changes in schizophrenia patients. Eur Arch Psychiatry Clin Neurosci (2011) 261(Suppl 2):S166-71. doi:10.1007/s00406-011-0249-8.
19. Radua J, Mataix-Cols D. Meta-analytic methods for neuroimaging data explained. Biol Mood Anxiety Disord (2012) 2:6. doi:10.1186/2045-5380-2-6.
20. Salimi-Khorshidi G, Smith SM, Keltner JR, Wager TD, Nichols TE. Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based Pooling of studies. Neuroimage (2009) 45:810-23. doi:10.1016/j.neuroimage.2008.12.039.
21. Dijkstra EW. A note on two problems in connexion with graphs. Numer Math (1959) 1:269-71. doi:10.1007/BF01386390.
22. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp (2002) 17:143-55. doi:10.1002/hbm.10062.
23. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging (2001) 20:45-57. doi:10.1109/42.906424.
24. R_Core_Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing (2013).
25. Radua J, Canales-Rodríguez EJ, Pomarol-Clotet E, Salvador R. Validity of modulation and optimal settings for advanced voxel-based morphometry. Neuroimage (2014) 86:81-90. doi:10.1016/j.neuroimage.2013.07.084.
26. Zhang T, Davatzikos C. Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's disease. Neuroimage (2013) 79:94-110. doi:10.1016/j.neuroimage.2013.04.063.
27. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage (2006) 31:1487-505. doi:10.1016/j.neuroimage.2006.02.024.
28. Peters BD, Blaas J, de Haan L. Diffusion tensor imaging in the early phase of schizophrenia: what have we learned? J Psychiatr Res (2010) 44:993-1004. doi:10.1016/j.jpsychires.2010.05.003.
29. Cooper D, Barker V, Radua J, Fusar-Poli P, Lawrie S. Multimodal voxel-based meta-analysis of structural and functional magnetic resonance imaging studies in those at elevated genetic risk of developing schizophrenia. Psychiatry Res (2014) 221:69-77. doi:10.1016/j.pscychresns.2013.07.008.
30. Radua J, Borgwardt S, Crescini A, Mataix-Cols D, Meyer-Lindenberg A, McGuire PK, et al. Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication. Neurosci Biobehav Rev (2012) 36:2325-33. doi:10.1016/j.neubiorev.2012.07.012.
31. Radua J, Romeo M, Mataix-Cols D, Fusar-Poli P. A general approach for combining voxel-based meta-analyses conducted in different neuroimaging modalities. Curr Med Chem (2013) 20:462-6. doi:10.2174/0929867311320030017.
32. Radua J, Surguladze SA, Marshall N, Walshe M, Bramon E, Collier DA, et al. The impact of CACNA1C allelic variation on effective connectivity during emotional processing in bipolar disorder. Mol Psychiatry (2013) 18:526-7. doi:10.1038/mp.2012.61.