Do Manual and Voxel-Based Morphometry Measure the Same? A Proof of Concept Study
Bibliographic Data
| ID | 15528837 |
|---|---|
| Authors | Niels K Focke (0000-0001-5486-6289, University of Göttingen), Sarah Trost (0000-0001-5740-8574, University of Göttingen), Walter Paulus (0000-0001-5549-8377, University of Göttingen), Peter Falkai (0000-0003-2873-8667, Ludwig-Maximilians-Universität München), Oliver Gruber (0000-0001-5362-6304, University of Göttingen, corresponding author) |
| Year | 2014 |
| Volume | 5 |
| Pages | 39-39 |
| Publication date | 2014-04-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2014.00039 |
| PMID | 24782790 |
| PMCID | PMC3986553 |
| OpenAlex | W2098991872 |
| Language | EN |
| References cited | 20 |
Voxel-based morphometry (VBM) is a commonly used method to study volumetric variations on a whole brain basis. However, it is often criticized for potential confounds, mainly based on imperfect spatial registration. We therefore aimed to evaluate if VBM and "gold standard" manual volumetry are measuring the same effects with respect to subcortical gray matter volumes. Manual regions-of-interest were drawn in the hippocampus, amygdala, nucleus accumbens, thalamus, putamen, pallidum, and caudate nucleus bilaterally. Resulting volumes were used for a whole brain VBM correlation analysis with Statistical Parametric Mapping (SPM8). The hippocampus, amygdala, putamen, and caudate nucleus were correctly identified by SPM using the contemporary high-dimensional normalization (DARTEL toolbox). This strongly suggests that VBM and manual volumetry both are indeed measuring the same effects with regard to subcortical brain structures
Amygdala · Caudate nucleus · Grey matter · Magnetic resonance imaging · Putamen · Radiology · Spatial normalization · Thalamus · Voxel · Voxel-based morphometry · White matter · Advanced Neuroimaging Techniques and Applications · Computer Science · Functional Brain Connectivity Studies · Medicine · Memory and Neural Mechanisms · Neuroscience · Psychology · Artificial Intelligence
| Highly cited | No |
|---|