Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy

Pardoe, Heath R.; Pell, Gaby S.; Abbott, David F.; Berg, Anne T.; Jackson, Graeme D.

doi:10.1016/j.neuroimage.2008.05.007

Cited by 117 publications

(99 citation statements)

References 18 publications

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“…Clark et al (2006), investigating scanner/post-processing combinations with optimal segmentation quality, concluded that due to partial voluming effects the thalamic region was susceptible to voxelwise segmentation errors, consistent with our results. Stonnington et al (2008) reached similar conclusions in a study of Alzheimer's disease, but they set out to detect significant scanner effects, as was done by Pardoe et al (2008). In our opinion, the key issues is not merely whether a possible scanner effect is significant or not, as a (just) nonsignificant scanner effect could add a substantial variance, thereby reducing power.…”

Section: Discussionmentioning

confidence: 66%

“…Ewers et al, (2006) calculated voxelwise coefficients of variance from a single subject scanned on 10 scanners. Pardoe et al, (2008) carried out a multicenter study on childhood absence epilepsy, comparing single-site results and determining between-site differences, while Stonnington et al (2008) analyzed multicenter Alzheimer's disease data to explore whether site-effects were significant. While the last two studies focused on mapping inter-site differences, we set out to map inter-site comparability to show the gain in power, partly comparable with Tardif et al's approach (2009) in sensitivity analysis of 3 T imaging protocols.…”

Section: Introductionmentioning

confidence: 99%

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Mapping reliability in multicenter MRI: Voxel‐based morphometry and cortical thickness

Schnack¹,

Haren²,

Brouwer³

et al. 2010

Human Brain Mapping

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Multicenter structural MRI studies can have greater statistical power than single-center studies. However, across-center differences in contrast sensitivity, spatial uniformity, etc., may lead to tissue classification or image registration differences that could reduce or wholly offset the enhanced statistical power of multicenter data. Prior work has validated volumetric multicenter MRI, but robust methods for assessing reliability and power of multisite analyses with voxel-based morphometry (VBM) and cortical thickness measurement (CORT) are not yet available. We developed quantitative methods to investigate the reproducibility of VBM and CORT to detect group differences and estimate heritability when MRI scans from different scanners running different acquisition protocols in a multicenter setup are included. The method produces brain maps displaying information such as lowest detectable effect size (or heritability) and effective number of subjects in the multicenter study. We applied the method to a five-site multicenter calibration study using scanners from four different manufacturers, running different acquisition protocols. The reliability maps showed an overall good comparability between the sites, providing a reasonable gain in sensitivity in most parts of the brain. In large parts of the cerebrum and cortex scan pooling improved heritability estimates, with "effective-N" values upto the theoretical maximum. For some areas, "optimal-pool" maps indicated that leaving out a site would give better results. The reliability maps also reveal which brain regions are in any case difficult to measure reliably (e.g., around the thalamus). These tools will facilitate the design and analysis of multisite VBM and CORT studies for detecting group differences and estimating heritability.

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Section: Discussionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Mapping reliability in multicenter MRI: Voxel‐based morphometry and cortical thickness

Schnack¹,

Haren²,

Brouwer³

et al. 2010

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Fourth, all native GM images were nonlinearly registered to this final template and modulated to account for local expansion (or contraction) because of the nonlinear component of the spatial transformation. The resulting GM density images were smoothed with a Gaussian kernel of 10-mm FWHM, consistent with standard VBM practices (42,43). Finally, we applied log 10 to the smoothed GM density images and regressed out possible effects of age, sex, and intracranial volume (ICV) with a GLM estimated from just 228 CN participants.…”

Section: Methodsmentioning

confidence: 99%

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Zhang¹,

Mormino

Sun³

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

163

166

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We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer's disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expressed within each participant rather than assuming that each participant expressed a single atrophy factor. The model revealed a temporal atrophy factor (medial temporal cortex, hippocampus, and amygdala), a subcortical atrophy factor (striatum, thalamus, and cerebellum), and a cortical atrophy factor (frontal, parietal, lateral temporal, and lateral occipital cortices). To explore the influence of each factor in early AD, atrophy factor compositions were inferred in beta-amyloid-positive (Aβ+) mild cognitively impaired (MCI) and cognitively normal (CN) participants. All three factors were associated with memory decline across the entire clinical spectrum, whereas the cortical factor was associated with executive function decline in Aβ+ MCI participants and AD dementia patients. Direct comparison between factors revealed that the temporal factor showed the strongest association with memory, whereas the cortical factor showed the strongest association with executive function. The subcortical factor was associated with the slowest decline for both memory and executive function compared with temporal and cortical factors. These results suggest that distinct patterns of atrophy influence decline across different cognitive domains. Quantification of this heterogeneity may enable the computation of individual-level predictions relevant for disease monitoring and customized therapies. Factor compositions of participants and code used in this article are publicly available for future research.

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“…The main findings of our study are based on a combined NYU-UCSD dataset. While combining data across different MRI scanners can be problematic, it has become increasingly common in the era of large, multisite neuroimaging studies, 27 and is generally considered appropriate so long as both patients and controls are scanned at each site, and site is included as a covariate in analysis, 28 as we have done. In addition, we analyzed each dataset separately, and results were concordant.…”

Section: 2mentioning

confidence: 99%

Septal nuclei enlargement in human temporal lobe epilepsy without mesial temporal sclerosis

Butler

Záborszky²,

Wang³

et al. 2013

Neurology

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Objective: To measure the volume of basal forebrain septal nuclei in patients with temporal lobe epilepsy (TLE) as compared to patients with extratemporal epilepsy and controls. In animal models of TLE, septal lesions facilitate epileptogenesis, while septal stimulation is antiepileptic.Method: Subjects were recruited from 2 sites and consisted of patients with pharmacoresistant focal epilepsy (20 with TLE and mesial temporal sclerosis [MTS], 24 with TLE without MTS, 23 with extratemporal epilepsy) and 114 controls. Septal volume was measured using high-resolution MRI in association with newly developed probabilistic septal nuclei maps. Septal volume was compared between subject groups while controlling for relevant factors.Results: Patients with TLE without MTS had significantly larger septal nuclei than patients with extratemporal epilepsy and controls. This was not true for patients with MTS. These results are interpreted with reference to prior studies demonstrating expansion of the septo-hippocampal cholinergic system in animal models of TLE and human TLE surgical specimens. Human septal nuclei, located in the basal forebrain, consist of the medial septum and diagonal band of Broca. Septal nuclei provide the main cholinergic input to the hippocampus via the fimbria/fornix 1 and are critical for hippocampal theta oscillations that mediate learning and memory. 2,3 In animal models of temporal lobe epilepsy (TLE), medial septal lesions facilitate epileptogenesis, and chemical or electrical septal stimulation can stop and prevent seizures. Conclusion:4-8 To our knowledge, no studies have examined septal nuclei structure in human TLE.We used MRI in association with probabilistic maps of human septal nuclei 9 to measure septal volume in patients with TLE either with or without mesial temporal sclerosis (MTS), patients with partial epilepsy not involving the hippocampus (extratemporal epilepsy [ETE]), and healthy controls. Based on prior human MRI studies showing atrophy of hippocampi and connected limbic regions in TLE including the fornix, 10,11 we initially hypothesized that septal volume would be reduced in TLE. Contrary to this hypothesis, we found septal enlargement in TLE without MTS.METHODS Subjects. All subjects provided informed consent to participate in this institutional review board-approved study. Patients with epilepsy were recruited from either the New York University (NYU) or University of California, San Diego (UCSD) Epilepsy Center. See table 1 for subject information. All patients had medically intractable seizures and were being considered for epilepsy surgery. Seizure focus lateralization/localization was made by experienced epileptologists based on clinical criteria including neuroimaging, video-EEG, and intracranial EEG (icEEG) when available. Patients with TLE were categorized as having MTS (TLE-MTS) or not based on standard criteria.12 PatientsFrom the Comprehensive Epilepsy Center (T.B., X

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Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy

Cited by 117 publications

References 18 publications

Mapping reliability in multicenter MRI: Voxel‐based morphometry and cortical thickness

Mapping reliability in multicenter MRI: Voxel‐based morphometry and cortical thickness

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease

Septal nuclei enlargement in human temporal lobe epilepsy without mesial temporal sclerosis

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