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Detecting structural changes in whole brain based on nonlinear deformations-application to schizophrenia research.
1Department of Psychiatry, Department of Neurology, University of Jena, Philosophenweg 3, Jena, D-07740, Germany.
Neuroimage
|July 27, 1999
Summary
This study introduces a new automatic method for detecting brain structural differences using deformation fields. The technique identified significant regional volume changes in schizophrenic patients, supporting the cognitive dysmetria model.
Area of Science:
- Neuroimaging
- Medical Image Analysis
- Radiology
Background:
- Schizophrenia is associated with structural brain abnormalities.
- Previous methods for detecting these changes can be subjective or require predefined regions of interest.
Purpose of the Study:
- To present and validate a novel, fully automatic method for detecting structural brain differences using deformation fields.
- To investigate regional brain volume alterations in schizophrenia using this new technique.
Main Methods:
- Nonlinear registration was used to obtain deformation fields between brains.
- A multivariate statistical approach was applied to analyze these deformation fields.
- The method was applied to a cohort of 85 schizophrenic patients and 75 healthy volunteers.
Main Results:
- Significant volume reductions were observed in schizophrenic brains, notably in the thalamus, superior temporal gyrus, superior frontal gyrus, precentral gyrus, lingual gyrus, and cerebellum.
- Volume enlargements were detected in the right putamen and adjacent white matter.
- These findings suggest disruptions in prefrontal-thalamic-cerebellar circuitry.
Conclusions:
- Deformation-based morphometry is a sensitive and automatic technique for detecting widespread structural brain changes.
- The results provide further evidence for the cognitive dysmetria model in schizophrenia.
- This fully automatic approach allows for large-scale studies without user bias.