publication . Article . 2016

On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis

Martinez‐Murcia, Francisco Jesús; Lai, Meng‐Chuan; Górriz, Juan Manuel; Ramírez, Javier; Young, Adam M. H.; Deoni, Sean C. L.; Ecker, Christine; Lombardo, Michael V.; Baron‐Cohen, Simon; Murphy, Declan G. M.; ...
Open Access English
  • Published: 01 Oct 2016 Journal: Human Brain Mapping, volume 38, issue 3, pages 1,208-1,223 (issn: 1065-9471, eissn: 1097-0193, Copyright policy)
  • Publisher: John Wiley and Sons Inc.
Abstract
Abstract Neuroimaging studies have reported structural and physiological differences that could help understand the causes and development of Autism Spectrum Disorder (ASD). Many of them rely on multisite designs, with the recruitment of larger samples increasing statistical power. However, recent large‐scale studies have put some findings into question, considering the results to be strongly dependent on the database used, and demonstrating the substantial heterogeneity within this clinically defined category. One major source of variance may be the acquisition of the data in multiple centres. In this work we analysed the differences found in the multisite, mul...
Subjects
free text keywords: Research Article, structural heterogeneity, structural magnetic resonance imaging, Research Articles, autism spectrum disorder, voxel based morphometry
Funded by
RCUK| Brain anatomy in autism; a multi-centre study
Project
  • Funder: Research Council UK (RCUK)
  • Project Code: G0400061
  • Funding stream: MRC
51 references, page 1 of 4

Ashburner J (2007): A fast diffeomorphic image registration algorithm. Neuroimage 38:95–113. 17761438 [PubMed]

Ashburner J, Friston KJ (2000): Voxel‐based morphometry—The methods. Neuroimage 11:805–821. 10860804 [PubMed]

Avants BB, Yushkevich P, Pluta J, Minkoff D, Korczykowski M, Detre J, Gee JC (2010): The optimal template effect in hippocampus studies of diseased populations. Neuroimage 49:2457–2466. 19818860 [OpenAIRE] [PubMed]

Barnea‐Goraly N, Kwon H, Menon V, Eliez S, Lotspeich L, Reiss AL (2004): White matter structure in autism: Preliminary evidence from diffusion tensor imaging. Biol Psychiatry 55:323–326. 14744477 [PubMed]

Chang CC, Lin CJ (2011): LIBSVM: A library for support vector machines. ACM Trans Intell Syst Technol 2:1–27.

Clementz BA, Sweeney JA, Hamm JP, Ivleva EI, Ethridge LE, Pearlson GD, Keshavan MS, Tamminga CA (2016): Identification of Distinct Psychosis Biotypes Using Brain‐Based Biomarkers. Am J Psychiatry 173:373–384. 26651391 [OpenAIRE] [PubMed]

Cootes TF, Edwards GJ, Taylor CJ (2001): Active appearance models. IEEE Trans Pattern Anal Mach Intell 23:681–685.

Dapretto M, Davies MS, Pfeifer JH, Scott AA, Sigman M, Bookheimer SY, Iacoboni M (2006): Understanding emotions in others: Mirror neuron dysfunction in children with autism spectrum disorders. Nat Neurosci 9:28–30. 16327784 [OpenAIRE] [PubMed]

Deoni SC, Williams SC, Jezzard P, Suckling J, Murphy DG, Jones DK (2008): Standardized structural magnetic resonance imaging in multicentre studies using quantitative T 1 and T 2 imaging at 1.5 T. Neuroimage 40:662–671. 18221894 [PubMed]

Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl‐Wagner B, Fair DA, Gallagher L, Kennedy DP, Keown CL, Keysers C, Lainhart JE, Lord C, Luna B, Menon V, Minshew NJ, Monk CS, Mueller S, M{\”{u}}ller RA, Nebel MB, Nigg JT, O'Hearn K, Pelphrey KA, Peltier SJ, Rudie JD, Sunaert S, Thioux M, Tyszka JM, Uddin LQ, Verhoeven JS, Wenderoth N, Wiggins JL, Mostofsky SH, Milham MP (2014): The autism brain imaging data exchange: Towards a large‐scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 19:659–667. 23774715 [OpenAIRE] [PubMed]

Ecker C, Murphy D (2014): Neuroimaging in autism–from basic science to translational research. Nat Rev Neurol 10:82–91. 24419683 [PubMed]

Ecker C, Rocha‐Rego V, Johnston P, Mourao‐Miranda J, Marquand A, Daly EM, Brammer MJ, Murphy C, Murphy DG, MRCAIMSC (2010): Investigating the predictive value of whole‐brain structural MR scans in autism: A pattern classification approach. Neuroimage 49:44–56. 19683584 [PubMed]

Ecker C, Suckling J, Deoni SC, Lombardo MV, Bullmore ET, Baron‐Cohen S, Catani M, Jezzard P, Barnes A, Bailey AJ, et al. (2012): Brain anatomy and its relationship to behavior in adults with autism spectrum disorder: A multicenter magnetic resonance imaging study. Arch Gen Psychiatry 69:195–209. 22310506 [PubMed]

Ecker C, Ginestet C, Feng Y, Johnston P, Lombardo MV, Lai MC, Suckling J, Palaniyappan L, Daly E, Murphy CM, Williams SC, Bullmore ET, Baron‐Cohen S, Brammer M, Murphy DGM, MRC AIMS Consortium (2013): Brain surface anatomy in adults with autism: The relationship between surface area, cortical thickness, and autistic symptoms. JAMA Psychiatry 70:59. 23404046 [OpenAIRE] [PubMed]

Ecker C, Bookheimer SY, Murphy DGM (2015): Neuroimaging in autism spectrum disorder: Brain structure and function across the lifespan. Lancet Neurol 14:1121–1134. 25891007 [PubMed]

51 references, page 1 of 4
Abstract
Abstract Neuroimaging studies have reported structural and physiological differences that could help understand the causes and development of Autism Spectrum Disorder (ASD). Many of them rely on multisite designs, with the recruitment of larger samples increasing statistical power. However, recent large‐scale studies have put some findings into question, considering the results to be strongly dependent on the database used, and demonstrating the substantial heterogeneity within this clinically defined category. One major source of variance may be the acquisition of the data in multiple centres. In this work we analysed the differences found in the multisite, mul...
Subjects
free text keywords: Research Article, structural heterogeneity, structural magnetic resonance imaging, Research Articles, autism spectrum disorder, voxel based morphometry
Funded by
RCUK| Brain anatomy in autism; a multi-centre study
Project
  • Funder: Research Council UK (RCUK)
  • Project Code: G0400061
  • Funding stream: MRC
51 references, page 1 of 4

Ashburner J (2007): A fast diffeomorphic image registration algorithm. Neuroimage 38:95–113. 17761438 [PubMed]

Ashburner J, Friston KJ (2000): Voxel‐based morphometry—The methods. Neuroimage 11:805–821. 10860804 [PubMed]

Avants BB, Yushkevich P, Pluta J, Minkoff D, Korczykowski M, Detre J, Gee JC (2010): The optimal template effect in hippocampus studies of diseased populations. Neuroimage 49:2457–2466. 19818860 [OpenAIRE] [PubMed]

Barnea‐Goraly N, Kwon H, Menon V, Eliez S, Lotspeich L, Reiss AL (2004): White matter structure in autism: Preliminary evidence from diffusion tensor imaging. Biol Psychiatry 55:323–326. 14744477 [PubMed]

Chang CC, Lin CJ (2011): LIBSVM: A library for support vector machines. ACM Trans Intell Syst Technol 2:1–27.

Clementz BA, Sweeney JA, Hamm JP, Ivleva EI, Ethridge LE, Pearlson GD, Keshavan MS, Tamminga CA (2016): Identification of Distinct Psychosis Biotypes Using Brain‐Based Biomarkers. Am J Psychiatry 173:373–384. 26651391 [OpenAIRE] [PubMed]

Cootes TF, Edwards GJ, Taylor CJ (2001): Active appearance models. IEEE Trans Pattern Anal Mach Intell 23:681–685.

Dapretto M, Davies MS, Pfeifer JH, Scott AA, Sigman M, Bookheimer SY, Iacoboni M (2006): Understanding emotions in others: Mirror neuron dysfunction in children with autism spectrum disorders. Nat Neurosci 9:28–30. 16327784 [OpenAIRE] [PubMed]

Deoni SC, Williams SC, Jezzard P, Suckling J, Murphy DG, Jones DK (2008): Standardized structural magnetic resonance imaging in multicentre studies using quantitative T 1 and T 2 imaging at 1.5 T. Neuroimage 40:662–671. 18221894 [PubMed]

Di Martino A, Yan CG, Li Q, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl‐Wagner B, Fair DA, Gallagher L, Kennedy DP, Keown CL, Keysers C, Lainhart JE, Lord C, Luna B, Menon V, Minshew NJ, Monk CS, Mueller S, M{\”{u}}ller RA, Nebel MB, Nigg JT, O'Hearn K, Pelphrey KA, Peltier SJ, Rudie JD, Sunaert S, Thioux M, Tyszka JM, Uddin LQ, Verhoeven JS, Wenderoth N, Wiggins JL, Mostofsky SH, Milham MP (2014): The autism brain imaging data exchange: Towards a large‐scale evaluation of the intrinsic brain architecture in autism. Mol Psychiatry 19:659–667. 23774715 [OpenAIRE] [PubMed]

Ecker C, Murphy D (2014): Neuroimaging in autism–from basic science to translational research. Nat Rev Neurol 10:82–91. 24419683 [PubMed]

Ecker C, Rocha‐Rego V, Johnston P, Mourao‐Miranda J, Marquand A, Daly EM, Brammer MJ, Murphy C, Murphy DG, MRCAIMSC (2010): Investigating the predictive value of whole‐brain structural MR scans in autism: A pattern classification approach. Neuroimage 49:44–56. 19683584 [PubMed]

Ecker C, Suckling J, Deoni SC, Lombardo MV, Bullmore ET, Baron‐Cohen S, Catani M, Jezzard P, Barnes A, Bailey AJ, et al. (2012): Brain anatomy and its relationship to behavior in adults with autism spectrum disorder: A multicenter magnetic resonance imaging study. Arch Gen Psychiatry 69:195–209. 22310506 [PubMed]

Ecker C, Ginestet C, Feng Y, Johnston P, Lombardo MV, Lai MC, Suckling J, Palaniyappan L, Daly E, Murphy CM, Williams SC, Bullmore ET, Baron‐Cohen S, Brammer M, Murphy DGM, MRC AIMS Consortium (2013): Brain surface anatomy in adults with autism: The relationship between surface area, cortical thickness, and autistic symptoms. JAMA Psychiatry 70:59. 23404046 [OpenAIRE] [PubMed]

Ecker C, Bookheimer SY, Murphy DGM (2015): Neuroimaging in autism spectrum disorder: Brain structure and function across the lifespan. Lancet Neurol 14:1121–1134. 25891007 [PubMed]

51 references, page 1 of 4
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