Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: a simulation based study

HC Külsgaard, JI Orlando, M Bendersky… - Journal of the …, 2021 - Elsevier
Abstract Single subject VBM (SS-VBM), has been used as an alternative tool to standard
VBM for single case studies. However, it has the disadvantage of producing an excessively …

VBM lesion detection depends on the normalization template: a study using simulated atrophy

S Shen, AJ Szameitat, A Sterr - Magnetic resonance imaging, 2007 - Elsevier
Structural neuroimaging studies are of great interest for neuroscientists, which are reflected
in the rising number of papers using voxel-based morphometry (VBM). One major step in …

Removing outliers from the normative database improves regional atrophy detection in single-subject voxel-based morphometry

V Schultz, DM Hedderich, B Schmitz-Koep, D Schinz… - Neuroradiology, 2024 - Springer
Purpose Single-subject voxel-based morphometry (VBM) compares an individual T1-
weighted MRI to a sample of normal MRI in a normative database (NDB) to detect regional …

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

C Scarpazza, G Sartori, MS De Simone, A Mechelli - Neuroimage, 2013 - Elsevier
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 …

Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network

J Krüger, R Opfer, L Spies, D Hedderich, R Buchert - European Radiology, 2024 - Springer
Objectives Reliable detection of disease-specific atrophy in individual T1w-MRI by voxel-
based morphometry (VBM) requires scanner-specific normal databases (NDB), which often …

Voxel-based morphometry: current perspectives

C Scarpazza, M Stefania De Simone - Neuroscience and …, 2016 - Taylor & Francis
Voxel-based morphometry (VBM) is a widely used automated technique for the analysis of
neuroanatomical images. This work, which reviews important VBM clinical findings of the …

Pitfalls in the use of voxel-based morphometry as a biomarker: examples from Huntington disease

SMD Henley, GR Ridgway, RI Scahill… - American Journal …, 2010 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: VBM is increasingly used in the study of
neurodegeneration, and recently there has been interest in its potential as a biomarker …

A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry

GB Karas, EJ Burton, SARB Rombouts… - Neuroimage, 2003 - Elsevier
Voxel-based morphometry (VBM) has already been applied to MRI scans of patients with
Alzheimer's disease (AD). The results of these studies demonstrated atrophy of the …

Comparing voxel-based iterative sensitivity and voxel-based morphometry to detect abnormalities in T2-weighted MRI

LZ Diaz-de-Grenu, J Acosta-Cabronero, GB Williams… - NeuroImage, 2014 - Elsevier
This study aimed to test the superiority proposed by Abbott et al.(2011) of their Voxel based
iterative sensitivity (VBIS) method over Voxel Based Morphometry using T2-weighted …

Validity of modulation and optimal settings for advanced voxel-based morphometry

J Radua, EJ Canales-Rodríguez, E Pomarol-Clotet… - Neuroimage, 2014 - Elsevier
Voxel-based morphometry (VBM) is a widely-used structural neuroimaging technique for
comparing meso-and macroscopic regional brain volumes between patients and controls in …