PI Name: | CSERNANSKY, JOHN, G. |
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DEPARTMENT OF PSYCHIATRY |
Project Title: | NEUROMORPHOMETRY IN SCHIZOPHRENIA |
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Precisely defining the characteristics of neuroanatomical abnormalities in schizophrenia (i.e., volume losses, shape deformations and altered asymmetries) can provide critical evidence for determining the pathogenesis of schizophrenia. More recently, there has been substantial interest in determining whether such neuroanatomical abnormalities show progressive changes over time. However, improved methodologies for neuromorphometiy are needed for such experiments. During the first funding period of this project, we made further substantial progress in the development of high dimensional brain mapping (HDBM). In this renewal application, we show that HDBM can be used to measure brain structure volumes, shapes and asymmetries with excellent reliability, and that HDBM can be used to detect abnormalities of the hippocampus and cingulate gyrus that discriminate matched groups of schizophrenia and control subjects.
This data is available with registered usernames and passwords. If you have already registered, and your registration has been confirmed, you may proceed to the download page.
Miller MI, Massie A, Ratnanather, Botteron KN, and Csernansky JC: Bayesian construction of geometrically based cortical thickness metrics. NeuroImage. 12:676-687, 2000.
Conte Center, Washington University School of Medicine
10 subvolumes are available in two formats: ANALYZE (7.5) and MATLAB formats.
The MATLAB data was generated on Linux but can be read in by other *IX systems.
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