Document Detail

Why voxel-based morphometry should be used.
MedLine Citation:
PMID:  11707080     Owner:  NLM     Status:  MEDLINE    
This article has been written in response to Dr. Fred L. Bookstein's article entitled '"Voxel-Based Morphometry" Should Not Be Used with Imperfectly Registered Images' in this issue of NeuroImage. We will address three main issues: (i) Dr. Bookstein appears to have misunderstood the objective of voxel-based morphometry (VBM) and the nature of the continuum we referred to. (ii) We agree with him when he states that findings from VBM can pertain to systematic registration errors during spatial normalization. (iii) His argument about voxelwise tests on smooth data holds in the absence of error variance, but is of no consequence when using actual data. We first review the tenets of VBM, paying particular attention to the relationship between VBM and tensor-based morphometry. The last two sections of this response deal with the specific concerns raised by Dr. Bookstein.
J Ashburner; K J Friston
Publication Detail:
Type:  Comment; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  NeuroImage     Volume:  14     ISSN:  1053-8119     ISO Abbreviation:  Neuroimage     Publication Date:  2001 Dec 
Date Detail:
Created Date:  2001-11-14     Completed Date:  2002-01-15     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9215515     Medline TA:  Neuroimage     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1238-43     Citation Subset:  IM    
Copyright Information:
Copyright 2001 Academic Press.
The Wellcome Department of Cognitive Neurology, Institute of Neurology, Queen Square, London WC1N 3BG, United Kingdom.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Cerebral Cortex / pathology*
Image Enhancement*
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging*
Temporal Lobe / pathology
Comment On:
Neuroimage. 2001 Dec;14(6):1454-62   [PMID:  11707101 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  On the marriage of cognition and neuroscience.
Next Document:  Tracking brain volume changes in C57BL/6J and ApoE-deficient mice in a model of neurodegeneration: a...