Determining the optimal level of smoothing in cortical thickness analysis: A hierarchical approach based on sequential statistical thresholding

NeuroImage

Volumn 52, Issue 1, 2010, Pages 158-171

  Bernal Rusiel, Jorge L ^a   Atienza, Mercedes ^a   Cantero, Jose L ^a  

^a UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

Author keywords

Alzheimer's disease; Cluster size inference; Cortical thickness; False discovery rate; Spatial smoothing; Spherical wavelets

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ANALYTICAL ERROR; ARTICLE; BRAIN CORTEX; BRAIN SIZE; BRAIN THICKNESS; CLUSTER ANALYSIS; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE RECONSTRUCTION; MAJOR CLINICAL STUDY; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS; VALIDATION PROCESS; ALGORITHM; ANATOMY AND HISTOLOGY; CASE CONTROL STUDY; COMPUTER SIMULATION; CROSS-SECTIONAL STUDY; IMAGE PROCESSING; MIDDLE AGED; ORGAN SIZE; PATHOLOGY; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL; VALIDATION STUDY; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALGORITHMS; ALZHEIMER DISEASE; CASE-CONTROL STUDIES; CEREBRAL CORTEX; CLUSTER ANALYSIS; COMPUTER SIMULATION; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL; ORGAN SIZE;

EID: 77953292562     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.03.074     Document Type: Article

References (61)

1. Ad-Dab'bagh Y., Singh V., Robbins S., Lerch J., Lyttelton O., Fombonne E., Evans A.C. Native space cortical thickness measurement and the absence of correlation to cerebral volume. Proceedings of the 11th Annual Meeting of the Organization for Human Brain Mapping, Toronto 2005.
2. Apostolova L.G., Thompson P.M. Mapping progressive brain structural changes in early Alzheimer's disease and mild cognitive impairment. Neuropsychologia 2008, 46:1597-1612.
3. Baron J.C., Chételat G., Desgranges B., Perchey G., Landeau B., de la Sayette V., Eustache F. In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease. Neuroimage 2001, 14:298-309.
4. Benjamini Y., Heller R. False discovery rates for spatial signals. J. Am. Stat. Assoc. 2007, 102:1272-1281.
5. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B 1995, 57:289-300.
6. Benjamini Y., Krieger A.M., Yekutieli D. Adaptive linear step-up procedures that control the false discovery rate. Biometrika 2006, 93:491-507.
7. Bernal-Rusiel J.L., Atienza A., Cantero J.L. Detection of focal changes in human cortical thickness: spherical wavelets versus Gaussian smoothing. Neuroimage 2008, 41:1278-1292.
8. Biega T.J., Lonser R.R., Butman J.A. Differential cortical thickness across the central sulcus: a method for identifying the central sulcus in the presence of mass effect and vasogenic edema. Am. J. Neuroradiol. 2006, 27:1450-1453.
9. Butman J.A., Floeter M.K. Decreased thickness of primary motor cortex in primary lateral sclerosis. Am. J. Neuroradiol. 2007, 28:87-91.
10. Charil A., Dagher A., Lerch J.P., Zijdenbos A.P., Worsley K.J., Evans A.C. Focal cortical atrophy in multiple sclerosis: relation to lesion load and disability. Neuroimage 2007, 34:509-517.
11. Chumbley J.R., Friston K.F. False discovery rate revisited: FDR and topological inference using random fields. Neuroimage 2009, 44:62-70.
12. Chung M.K., Worsley K.J., Robbins S., Paus P., Taylor J., Giedd J.N., Rapoport J.L., Evans A.C. Deformation-based surface morphometry applied to gray matter deformation. Neuroimage 2003, 18:198-213.
13. Chung M.K., Robbins S.M., Dalton K.M., Davidson R.J., Alexander A.L., Evans A.C. Cortical thickness analysis in autism with heat kernel smoothing. Neuroimage 2005, 25:1256-1265.
14. Chung M.K., Dalton K.M., Shen L., Evans A.C., Davidson R.J. Weighted Fourier representation and its application to quantifying the amount of gray matter. IEEE Trans. Med. Imaging 2007, 26:566-581.
15. Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999, 9:179-194.
16. Dickerson B.C., Bakkour A., Salat D.H., Feczko E., Pacheco J., Greve D.N., Grodstein F., Wright C.I., Blacker D., Rosas H.D., Sperling R.A., Atri A., Growdon J.H., Hyman B.T., Morris J.C., Fischl B., Buckner R.L. The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals. Cereb. Cortex 2009, 19:497-510.
17. Donoho D.L. De-noising by soft-thresholding. IEEE Trans. Inf. Theory 1995, 41:613-627.
18. Donoho D.L., Johnstone I.M. Ideal spatial adaptation by wavelet shrinkage. Biometrika 1994, 81:425-455.
19. Driscoll J.R., Healy D.M. Computing Fourier transforms and convolutions on the 2-sphere. Adv. Appl. Math. 1994, 15:202-250.
20. Fischl B., Dale A.M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. U.S.A. 2000, 97:11050-11055.
21. Fischl B., Sereno M.I., Dale A.M. Cortical surface-based analysis: II. Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999, 9:195-207.
22. Fischl B., Sereno M.I., Tootell R.B.H., Dale A.M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 1999, 8:272-284.
23. Fischl B., Liu A., Dale A.M. Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans. Med. Imaging 2001, 20:70-80.
24. Frisoni G.B., Pievani M., Testa C., Sabattoli F., Bresciani L., Bonetti M., Beltramello A., Hayashi K.M., Toga A.W., Thompson P.M. The topography of grey matter involvement in early and late onset Alzheimer's disease. Brain 2007, 130:720-730.
25. Friston K.J., Worsley K.J., Frackowiak R.S.J., Mazziotta J.C., Evans A.C. Assessing the significance of focal activations using their spatial extent. Hum. Brain Mapp. 1994, 1:214-220.
26. Friston K.J., Holmes A., Poline J.-B., Price C.J., Frith C.D. Detecting activations in PET and fMRI: levels of inference and power. Neuroimage 1996, 4:223-235.
27. Genovese C.R., Lazar N.A., Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 2002, 15:870-878.
28. Hagler D.J., Saygin A.P., Sereno M.I. Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 2006, 33:1093-1103.
29. Han X., Jovicich J., Salat D., Van der Kouwe A., Quinn B., Czanner S., Busa E., Pacheco J., Albert M., Killiany R., Maguire P., Rosas D., Makris N., Dale A., Dickerson B., Fischl B. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006, 32:180-194.
30. Hayasaka S., Nichols T.E. Validating cluster size inference: random field and permutation methods. Neuroimage 2003, 20:2343-2356.
31. Healy D., Rockmore D., Kostelec P., Moore S. FFTs for the 2-sphere - improvements and variations. J. Fourier Anal. Appl. 2003, 9:341-385.
32. Holmes A.P., Blair R.C., Watson J.D.G., Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J. Cereb. Blood F Met. 1996, 16:7-22.
33. Jones E.G., Peters A. Cerebral cortex: Cellular Components of the Cerebral Cortex 1984, Plenum Press, New York, Volume 1 (580 pp.).
34. Kuperberg G.R., Broome M.R., McGuire P.K., David A.S., Eddy M., Ozawa F., Goff D., West W.C., Williams S.C., Van der Kouwe A.J., Salat D.H., Dale A.M., Fischl B. Regionally localized thinning of the cerebral cortex in schizophrenia. Arch. Gen. Psychiatry 2003, 60:878-888.
35. Langers D.R.M., Jansen J.F.A., Backes W.H. Enhanced signal detection in neuroimaging by means of regional control of the global false discovery rate. Neuroimage 2007, 38:43-56.
36. Lerch J.P., Evans A.C. Cortical thickness analysis examined through power analysis and a population simulation. Neuroimage 2005, 24:163-173.
37. Lerch J.P., Pruessner J.C., Zijdenbos A., Hampel H., Teipel S.J., Evans A.C. Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. Cereb. Cortex 2005, 15:995-1001.
38. Logan B.R., Geliazkova M.P., Rowe D.B. An evaluation of spatial thresholding techniques in fMRI analysis. Hum. Brain Mapp. 2008, 29:1379-1389.
39. Lyoo I.K., Sung Y.H., Dager S.R., Friedman S.D., Lee J.Y., Kim S.J., Kim N., Dunner D.L., Renshaw P.F. Regional cerebral cortical thinning in bipolar disorder. Bipolar Disord. 2006, 8:65-74.
40. Makris N., Biederman J., Valera E.M., Bush G., Kaiser J., Kennedy D.N., Caviness V.S., Faraone S.V., Seidman L.J. Cortical thinning of the attention and executive function networks in adults with attention-deficit/hyperactivity disorder. Cereb. Cortex 2007, 17:1364-1375.
41. Mikl M., Marecek R., Hlustík P., Pavlicová M., Drastich A., Chlebus P., Brázdil M., Krupa P. Effects of spatial smoothing on fMRI group inferences. Magn. Reson. Imaging 2008, 26:490-503.
42. Nichols T. False discovery rate procedures. Statistical Parametric Mapping: the Analysis of Functional Brain Images 2007, 246-252. Academic Press, London. K.J. Friston, J. Ashburner, S. Kiebel, T. Nichols, W. Penny (Eds.).
43. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2001, 15:1-25.
44. Pratt W.K. Digital Image Processing 1991, John Wiley and Sons, Inc., New York.
45. Raphan M., Simoncelli E.P. Optimal denoising in redundant representations. IEEE Trans. Image Process. 2008, 17:1342-1352.
46. Reimold M., Slifstein M., Heinz A., Mueller-Schauenburg W., Bares R. Effect of spatial smoothing on t-maps: arguments for going back from t-maps to masked contrast images. J. Cerebr. Blood F. Met. 2006, 26:751-759.
47. Segonne F., Dale A.M., Busa E., Glessner M., Salat D., Hahn H.K., Fischl B. A hybrid approach to the skull stripping problem in MRI. Neuroimage 2004, 22:1060-1075.
48. Shaw P., Lerch J., Greenstein D., Sharp W., Clasen L., Evans A., Giedd J., Castellanos F.X., Rapoport J. Longitudinal mapping of cortical thickness and clinical outcome in children and adolescents with attention-deficit/hyperactivity disorder. Arch. Gen. Psychiatry 2006, 63:540-549.
49. Singh V., Chertkow H., Lerch J.P., Evans A.C., Dorr A.E., Kabani N.J. Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease. Brain 2006, 129:2885-2893.
50. Smith S.M., Nichols T.E. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 2009, 44:83-98.
51. Sowell E.R., Peterson B.S., Thompson P., Welcome S.E., Henkenius A.L., Toga A.W. Mapping cortical changes across the human life span. Nat. Neurosci. 2003, 6:309-315.
52. Starck J.L., Moudden Y., Abrial P., Nguyen M. Wavelets, ridgelets and curvelets on the sphere. Astron. Astrophys. 2006, 446:1191-1204.
53. Thompson P.M., Mega M.S., Woods R.P., Zoumalan C.I., Lindshield C.J., Blanton R.E., Moussai J., Holmes C.J., Cummings J.L., Toga A.W. Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. Cereb. Cortex 2001, 11:1-16.
54. Thompson P.M., Hayashi K.M., Zubicaray G., Janke A.L., Rose S.E., Semple J., Herman D., Hong M.S., Dittmer S.S., Doddrell D.M., Toga A.W. Dynamics of gray matter loss in Alzheimer's disease. J. Neurosci. 2003, 23:994-1005.
55. Van Essen H., Drury S., Miller J., Miller M. Functional and structural mapping of human cerebral cortex: solution are in the surfaces. Proc. Natl. Acad. Sci. USA 1998, 95:788-795.
56. Von Economo C. The Cytoarchitectonics of the Human Cerebral Cortex 1929, Oxford University Press, London, (186 pp.).
57. Watson D.F. Contouring: a Guide to the Analysis and Display of Spatial Data 1992, Pergamon (Elsevier Science, Inc.), Tarrytown, NY.
58. Wiaux Y., McEwen J.D., Vandergheynst P., Blanc O. Exact reconstruction with directional wavelets on the sphere. Mon. Not. R. Astron. Soc. 2008, 000:1-18.
59. Wink A.M., Roerdink J.B.T.M. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing. IEEE Trans. Med. Imaging 2004, 23:374-387.
60. Worsley K.J., Marrett S., Neelin P., Vandal A.C., Friston K.J., Evans A.C. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapp. 1996, 4:58-73.
61. Worsley K.J., Andermann M., Koulis T., MacDonald D., Evans A.C. Detecting changes in nonisotropic images. Hum. Brain Mapp. 1999, 8:98-101.