Literature DB >> 23291189

When the single matters more than the group: very high false positive rates in single case Voxel Based Morphometry.

C Scarpazza1, G Sartori, M S De Simone, A Mechelli.   

Abstract

Voxel Based Morphometry (VBM) studies typically involve a comparison between groups of individuals; this approach however does not allow inferences to be made at the level of the individual. In recent years, an increasing number of research groups have attempted to overcome this issue by performing single case studies, which involve the comparison between a single subject and a control group. However, the interpretation of the results is problematic; for instance, any significant difference might be driven by individual variability in neuroanatomy rather than the neuropathology of the disease under investigation, or might represent a false positive due to the data being sampled from non-normally distributed populations. The aim of the present investigation was to empirically estimate the likelihood of detecting significant differences in gray matter volume in individuals free from neurological or psychiatric diagnosis. We compared a total of 200 single subjects against a group of 16 controls matched for age and gender, using two independent datasets from the Neuroimaging Informatics Tools and Resources Clearinghouse. We report that the chance of detecting a significant difference in a disease-free individual is much higher than previously expected; for instance, using a standard voxel-wise threshold of p<0.05 (corrected) and an extent threshold of 10 voxels, the likelihood of a single subject showing at least one significant difference is as high as 93.5% for increases and 71% for decreases. We also report that the chance of detecting significant differences was greatest in frontal and temporal cortices and lowest in subcortical regions. The chance of detecting significant differences was inversely related to the degree of smoothing applied to the data, and was higher for unmodulated than modulated data. These results were replicated in the two independent datasets. By providing an empirical estimation of the number of significant increases and decreases to be expected in each cortical and subcortical region in disease-free individuals, the present investigation could inform the interpretation of future single case VBM studies.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23291189     DOI: 10.1016/j.neuroimage.2012.12.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  21 in total

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3.  Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.

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4.  Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy.

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5.  Multidimensional morphometric 3D MRI analyses for detecting brain abnormalities in children: impact of control population.

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6.  BrainMap VBM: An environment for structural meta-analysis.

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7.  Harnessing graphics processing units for improved neuroimaging statistics.

Authors:  Anders Eklund; Mattias Villani; Stephen M Laconte
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8.  Investigating Neuroanatomical Features in Top Athletes at the Single Subject Level.

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9.  Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects.

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Review 10.  Neuroanatomical abnormalities in chronic tinnitus in the human brain.

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Journal:  Neurosci Biobehav Rev       Date:  2014-06-02       Impact factor: 8.989

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