Functional Magnetic Resonance Imaging (fMRI) reproducibility and variance components across visits and scanning sites with a finger tapping task

Gountouna, Viktoria-Eleni; Job, Dominic; McIntosh, Andrew M.; Moorhead, T. William J.; Lymer, G. Katherine L.; Whalley, Heather C.; Hall, Jérémy; Waiter, Gordon D.; Brennan, David; McGonigle, David J.; Ahearn, Trevor; Cavanagh, Johnathan; Condon, Barrie; Hadley, Donald M.; Marshall, Ian; Murray, Alison; Steele, J. Douglas; Wardlaw, Joanna M.; Lawrie, Stephen M.

doi:10.1016/j.neuroimage.2009.07.026

Cited by 113 publications

(105 citation statements)

References 22 publications

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“…Analysis of variance modeled within-and between-center factors, with within-center reliability being relatively much greater, and enumerated the between-center differences in a number of key metrics. Other calibration studies have been reported [Costafreda et al, 2007;Deoni et al, 2008;Gountouna et al, 2009;Moorhead et al, 2009;Suckling et al, 2008], with similar outcomes from comparable analyses.…”

Section: Introductionsupporting

confidence: 67%

“…Justification for pooling of imaging data has also been sought for reproducibility of task-induced fMRI activation patterns, dependent on the applied statistical threshold and the details of the task stimuli Vlieger et al 2003] and comparison within activated regions of within-and between-center variance components [Costafreda et al 2007;Gountouna et al, 2009). Similar regional analyses have also been conducted on tissue segmentations of sMRI van Haren et al, 2003].…”

Section: Relationship To Other Calibration Experimentsmentioning

confidence: 99%

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The neuro/PsyGRID calibration experiment

Suckling

Barnes

Job

et al. 2011

Human Brain Mapping

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Calibration experiments precede multicenter trials to identify potential sources of variance and bias. In support of future imaging studies of mental health disorders and their treatment, the Neuro/PsyGRID consortium commissioned a calibration experiment to acquire functional and structural MRI from twelve healthy volunteers attending five centers on two occasions. Measures were derived of task activation from a working memory paradigm, fractal scaling (Hurst exponent) from resting fMRI, and grey matter distributions from T(1) -weighted sequences. At each intracerebral voxel a fixed-effects analysis of variance estimated components of variance corresponding to factors of center, subject, occasion, and within-occasion order, and interactions of center-by-occasion, subject-by-occasion, and center-by-subject, the latter (since there is no intervention) a surrogate of the expected variance of the treatment effect standard error across centers. A rank order test of between-center differences was indicative of crossover or noncrossover subject-by-center interactions. In general, factors of center, subject and error variance constituted>90% of the total variance, whereas occasion, order, and all interactions were generally <5%. Subject was the primary source of variance (70%-80%) for grey-matter, with error variance the dominant component for fMRI-derived measures. Spatially, variance was broadly homogenous with the exception of fractal scaling measures which delineated white matter, related to the flip angle of the EPI sequence. Maps of P values for the associated F-tests were also derived. Rank tests were highly significant indicating the order of measures across centers was preserved. In summary, center effects should be modeled at the voxel-level using existing and long-standing statistical recommendations.

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Section: Introductionsupporting

confidence: 67%

Section: Relationship To Other Calibration Experimentsmentioning

confidence: 99%

The neuro/PsyGRID calibration experiment

Suckling

Barnes

Job

et al. 2011

Human Brain Mapping

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“…For the current study with relatively long blocks optimized for the longer TR, we considered the impact of the different TRs to be minimal, especially given quantitative analysis of activation maps suggesting the location and extent of activation was consistent across the studies (see Supplementary Figure 1). We have previously reported acceptable reproducibility both between and within scanning sites at the group and subject level, suggesting the viability of combining fMRI data sets (Gountouna et al, 2011;Suckling et al, 2012). We cannot completely exclude the possibility that these differences may impact on the current findings.…”

Section: Discussionmentioning

confidence: 71%

Impact of a microRNA MIR137 Susceptibility Variant on Brain Function in People at High Genetic Risk of Schizophrenia or Bipolar Disorder

Whalley

Papmeyer

Romaniuk

et al. 2012

Neuropsychopharmacol

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A recent 'mega-analysis' combining genome-wide association study data from over 40 000 individuals identified novel genetic loci associated with schizophrenia (SCZ) at genome-wide significance level. The strongest finding was a locus within an intron of a putative primary transcript for microRNA MIR137. In the current study, we examine the impact of variation at this locus (rs1625579, G/T; where T is the common and presumed risk allele) on brain activation during a sentence completion task that differentiates individuals with SCZ, bipolar disorder (BD), and their relatives from controls. We examined three groups of individuals performing a sentence completion paradigm: (i) individuals at high genetic risk of SCZ (n ¼ 44), (ii) individuals at high genetic risk of BD (n ¼ 90), and (iii) healthy controls (n ¼ 81) in order to test the hypothesis that genotype at rs1625579 would influence brain activation. Genotype groups were assigned as 'RISKÀ' for GT and GG individuals, and 'RISK + ' for TT homozygotes. The main effect of genotype was significantly greater activation in the RISKÀ individuals in the posterior right medial frontal gyrus, BA 6. There was also a significant genotype*group interaction in the left amygdala and left pre/postcentral gyrus. This was due to differences between the controls (where individuals with the RISKÀ genotype showed greater activation than RISK + subjects) and the SCZ high-risk group, where the opposite genotype effect was seen. These results suggest that the newly identified SCZ locus may influence brain activation in a manner that is partly dependent on the presence of existing genetic susceptibility for SCZ.

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“…Finally, neuroimaging studies are characterised by the choice of a set of stimuli or tasks administered during the scan, which elicits the psychological process of interest, usually conceptually tied to the construct used to assess pathology. The feasibility of longitudinal studies in functional neuroimaging is documented by the reliability of the activation patterns detected in an individual over time (Gountouna et al 2010). However, while technically feasible, longitudinal designs are demanding in terms of the resources required to execute studies.…”

Section: Application Of Neuroimaging Techniques To Psychotherapy Outcmentioning

confidence: 99%