Neuroscience 2005 Abstract
| Presentation Number: | 456.3 |
|---|---|
| Abstract Title: | ADC-based morphometry: a new method for assessment of regional brain volume deficits using diffusion tensor magnetic resonance imaging. |
| Authors: |
Ardekani, B. A.*1
; D'Angelo, D.1
; Bappal, A.1
; Ashtari, M.
; Lencz, T.
; Szeszko, P. R.
; Lim, K. O.
; Nierenberg, J.1
; Javitt, D. C.1
; Butler, P. D.1
; Hoptman, M. J.1
1Nathan Kline Inst. for Psychiatric Research, Orangeburg, NY |
| Primary Theme and Topics |
Techniques in Neuroscience - Staining, Tracing, and Imaging Techniques |
| Secondary Theme and Topics | Disorders of the Nervous System<br />- Cognitive, Emotional and Behavioral State Disorders<br />-- Schizophrenia: Pathology |
| Session: |
456. Imaging by MRI and PET II Poster |
| Presentation Time: | Monday, November 14, 2005 10:00 AM-11:00 AM |
| Location: | Washington Convention Center - Hall A-C, Board # VV86 |
| Keywords: | SCHIZOPHRENIA, DIFFUSION, MORPHOMETRY, MRI |
Regional brain volume deficits are accompanied by a commensurate increase in the local volume of CSF. Thus, CSF may be considered an endogenous tracer for detecting regional brain volume deficits using MRI. In diffusion tensor imaging (DTI), affected brain areas show greater CSF partial volume effects and increased apparent diffusion coefficient (ADC). We propose a new method, ADC-based morphometry (ABM), for assessment of regional brain volume deficits using voxelwise analysis of ADC maps computed from DTI. We demonstrate this approach by its application to 15 patients with schizophrenia and 15 healthy controls. DTI and structural MRI were performed on all subjects. All 30 ADC maps were registered to a template in Talairach space by applying a nonlinear registration to their corresponding structural MRI volume. Following inter-subject registration of the ADC maps, a two-tailed independent samples t-test was applied at each voxel to determine the voxels at which the ADC values significantly differed between the patients and healthy controls. This procedure produced a statistical parametric map of t values with 28 degrees of freedom, which was subsequently threshold at 2.76 (P<0.01). To reduce the false-alarm rate, we only retained suprathreshold clusters of at least 200 voxels. ABM revealed widespread regional gray matter volume deficits in patients. Regions included the bilateral insular cortex, hippocampus, temporal lobe, medial frontal, and occipital areas. These results concur with previous findings of volume deficits in schizophrenia. We conclude that ABM may be a sensitive, automatic, and spatially specific method of detecting brain volume deficits.
Supported by RG-00-0350 Whitaker Foundation (BAA)
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2005 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2005. Online.
Copyright © 2005-2025 Society for Neuroscience; all rights reserved. Permission to republish any abstract or part of any abstract in any form must be obtained in writing by SfN office prior to publication.
