title: Reliability of neuroanatomical measurements in a multisite longitudinal study of youth at risk for psychosis.
abstract: Multisite longitudinal neuroimaging designs are used to identify differential brain structural change associated with onset or progression of disease. The reliability of neuroanatomical measurements over time and across sites is a crucial aspect of power in such studies. Prior work has found that while within-site reliabilities of neuroanatomical measurements are excellent, between-site reliability is generally more modest. Factors that may increase between-site reliability include standardization of scanner platform and sequence parameters and correction for between-scanner variations in gradient nonlinearities. Factors that may improve both between- and within-site reliability include use of registration algorithms that account for individual differences in cortical patterning and shape. In this study 8 healthy volunteers were scanned twice on successive days at 8 sites participating in the North American Prodrome Longitudinal Study (NAPLS). All sites employed 3 Tesla scanners and standardized acquisition parameters. Site accounted for 2 to 30% of the total variance in neuroanatomical measurements. However, site-related variations were trivial (<1%) among sites using the same scanner model and 12-channel coil or when correcting for between-scanner differences in gradient nonlinearity and scaling. Adjusting for individual differences in sulcal-gyral geometries yielded measurements with greater reliabilities than those obtained using an automated approach. Neuroimaging can be performed across multiple sites at the same level of reliability as at a single site, achieving within- and between-site reliabilities of 0.95 or greater for gray matter density in the majority of voxels in the prefrontal and temporal cortical surfaces as well as for the volumes of most subcortical structures.
authors: Department of Psychology, Yale University, New Haven, CT.
authors: Tyrone D
authors: TD
authors: Cannon
authors: Frank
authors: F
authors: Sun
authors: Sarah Jacobson
authors: SJ
authors: McEwen
authors: Xenophon
authors: X
authors: Papademetris
authors: George
authors: G
authors: He
authors: Theo G M
authors: TG
authors: van Erp
authors: Aron
authors: A
authors: Jacobson
authors: Carrie E
authors: CE
authors: Bearden
authors: Elaine
authors: E
authors: Walker
authors: Xiaoping
authors: X
authors: Hu
authors: Lei
authors: L
authors: Zhou
authors: Larry J
authors: LJ
authors: Seidman
authors: Heidi W
authors: HW
authors: Thermenos
authors: Barbara
authors: B
authors: Cornblatt
authors: Doreen M
authors: DM
authors: Olvet
authors: Diana
authors: D
authors: Perkins
authors: Aysenil
authors: A
authors: Belger
authors: Kristin
authors: K
authors: Cadenhead
authors: Ming
authors: M
authors: Tsuang
authors: Heline
authors: H
authors: Mirzakhanian
authors: Jean
authors: J
authors: Addington
authors: Richard
authors: R
authors: Frayne
authors: Scott W
authors: SW
authors: Woods
authors: Thomas H
authors: TH
authors: McGlashan
authors: R Todd
authors: RT
authors: Constable
authors: Maolin
authors: M
authors: Qiu
authors: Daniel H
authors: DH
authors: Mathalon
authors: Paul
authors: P
authors: Thompson
authors: Arthur W
authors: AW
authors: Toga
mesh_terms: D001921:Brain / Q000473:pathology*; D001931:Brain Mapping; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008137:Longitudinal Studies; D008279:Magnetic Resonance Imaging; D008297:Male; D011618:Psychotic Disorders / Q000473:pathology*; D015203:Reproducibility of Results; D013223:Statistics as Topic
keywords: amygdala; cerebral cortex; computer-assisted image processing; hippocampus; magnetic resonance imaging; neuroanatomy; reproducibility of results; thalamus
references: Med Image Comput Comput Assist Interv. 2008;11(Pt 2):263-70
references: 18982614
references: BMC Med Imaging. 2011 Dec 21;11:23
references: 22189342
references: Neuroimage. 2010 Feb 1;49(3):2123-33
references: 19913626
references: Med Phys. 2009 Jun;36(6):2193-205
references: 19610308
references: Hum Brain Mapp. 2000 Feb;9(2):81-92
references: 10680765
references: Neuroimage. 2010 Jul 15;51(4):1334-44
references: 20338250
references: Neuroimage. 1995 Jun;2(2):89-101
references: 9343592
references: Neuroimage. 2009 May 15;46(1):177-92
references: 19233293
references: Hum Brain Mapp. 2013 Sep;34(9):2313-29
references: 22815187
references: Neuroimage. 2000 Sep;12(3):340-56
references: 10944416
references: IEEE Trans Image Process. 2010 Jun;19(6):1539-47
references: 20129863
references: Neuroimage. 2007 Mar;35(1):121-30
references: 17222566
references: Neurobiol Aging. 2006 Aug;27(8):1051-9
references: 16169126
references: Schizophr Res. 2009 Mar;108(1-3):85-92
references: 19138834
references: Neuroimage. 2006 Apr 1;30(2):436-43
references: 16300968
references: Arch Gen Psychiatry. 2008 Jan;65(1):28-37
references: 18180426
references: Hum Brain Mapp. 2008 Aug;29(8):958-72
references: 17636563
references: IEEE Trans Med Imaging. 2001 Jan;20(1):45-57
references: 11293691
references: Schizophr Bull. 2007 May;33(3):665-72
references: 17255119
references: Neuroimage. 2010 Jul 1;51(3):1037-46
references: 20226256
references: Mol Psychiatry. 2009 Oct;14(10):976-86
references: 18607377
references: Hum Brain Mapp. 2010 Nov;31(11):1751-62
references: 20162602
references: Hum Brain Mapp. 2010 Dec;31(12):1967-82
references: 21086550
references: Neuroimaging Clin N Am. 2005 Nov;15(4):869-77, xi-xii
references: 16443497
references: Inf Process Med Imaging. 2001;2082:488-501
references: 21218175
references: Neuroscience. 2013 Oct 22;251:90-107
references: 22546337
references: Hum Brain Mapp. 2004 Aug;22(4):312-20
references: 15202109
references: Brain Topogr. 2013 Jan;26(1):35-8
references: 22562092
references: Neuroimage. 2006 Aug 1;32(1):180-94
references: 16651008