Article

Ten simple rules for reporting voxel-based morphometry studies

Centre for Medical Image Computing, University College London, UK.
NeuroImage (Impact Factor: 6.36). 06/2008; 40(4):1429-35. DOI: 10.1016/j.neuroimage.2008.01.003
Source: PubMed

ABSTRACT

Voxel-based morphometry [Ashburner, J. and Friston, K.J., 2000. Voxel-based morphometry-the methods. NeuroImage 11(6 Pt 1), 805-821] is a commonly used tool for studying patterns of brain change in development or disease and neuroanatomical correlates of subject characteristics. In performing a VBM study, many methodological options are available; if the study is to be easily interpretable and repeatable, the processing steps and decisions must be clearly described. Similarly, unusual methods and parameter choices should be justified in order to aid readers in judging the importance of such options or in comparing the work with other studies. This editorial suggests core principles that should be followed and information that should be included when reporting a VBM study in order to make it transparent, replicable and useful.

    • "imperfect spatial normalization (Bookstein, 2001; Davatzikos, 2004) or abundant smoothing (Jones et al., 2005) prior to voxel-based processing . For a more elaborate study on several 'caveats' directly related to in vivo MRI used to study (training-or experience-induced) brain plasticity, we refer to (Poldrack, 2000; Ridgway et al., 2008; Thomas and Baker, 2013). Likewise, both drawbacks also highlight the importance of validation studies using alternative methods to unravel the plausible cellular and molecular substrates of the observed in vivo findings . "
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    • "Voxel-based morphometry study of the insular cortex in female patients with current and remitted depression. Neuroscience (2014), http://dx.doi.org/10.1016/j.neuroscience.2013.12.058 abnormalities in subjects with various psychiatric 175 disorders, including MDD (Ridgway et al., 2008; 176 Salvadore et al., 2011 "
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    • "Hence, careful definition and standardization of the imaging procedure is strongly advocated. If some variation in image acquisition cannot be avoided, for example in multi-centric studies, different groups (e.g., patients and control subjects) should be studied in a balanced fashion to avoid systematical bias in the statistical analysis, consistent with previous recommendation (Krueger et al., 2012; Pell et al., 2006; Ridgway et al., 2008). "
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