This is an application for an R01 grant entitled, """"""""Novel DT-MRI Analyses of White Matter in Schizophrenia"""""""". The goal of this five-year award is to apply new approaches for evaluating white matter abnormalities in schizophrenia using Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) and DT-MRI post-processing techniques. This work builds upon our previous work showing that white matter tracts can be detected and delineated with DT-MRI. These tools will be further developed and then applied to DT-MRI data in order to evaluate white matter fiber tract abnormalities in schizophrenia (i.e., uncinate fasciculus, corpus callosum and cingulum bundle).
The specific aims of this project are: (1) to developed and apply novel spatial normalization and registration methods;(2) to develop and apply a novel 3D DT-MRI tractography method based on stochastic modeling, (3) to develop and apply automated tools for grouping tractography results into anatomically meaningful white matter bundles and ROIs, and (4) to evaluate fiber tract integrity in a patient population by a lying new quantitative measures of diffusion in white matter, and comparing their mean values in the aforementioned arcellated ROIs. Although the clinical focus of this grant is on schizophrenia, this technology will be directly applicable to other fields using data from DTI, such as for the early detection of white matter damage in the developing infant brain, exploration and characterization of white matter disruptions caused by MS lesions, and visualization of important white matter tracts during neurosurgical procedures. Of further importance, we plan to make these tools available to other researchers by implementing them in an open-source platform. We believe that these latter goals are particularly important for disseminating novel techniques for analyzing DT-MRI data to the larger neuroscience community.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH074794-05
Application #
8015571
Study Section
Special Emphasis Panel (ZRG1-BDCN-K (10))
Program Officer
Rumsey, Judith M
Project Start
2007-02-15
Project End
2012-04-01
Budget Start
2011-02-01
Budget End
2012-04-01
Support Year
5
Fiscal Year
2011
Total Cost
$350,831
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Seroussi, Inbar; Grebenkov, Denis S; Pasternak, Ofer et al. (2017) Microscopic interpretation and generalization of the Bloch-Torrey equation for diffusion magnetic resonance. J Magn Reson 277:95-103
Albi, Angela; Pasternak, Ofer; Minati, Ludovico et al. (2017) Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects. Hum Brain Mapp 38:12-26
Shaffer, Joseph J; Ghayoor, Ali; Long, Jeffrey D et al. (2017) Longitudinal diffusion changes in prodromal and early HD: Evidence of white-matter tract deterioration. Hum Brain Mapp 38:1460-1477
Liao, Ruizhi; Ning, Lipeng; Chen, Zhenrui et al. (2017) Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model. Neuroimage Clin 15:819-831
O'Donnell, Lauren J; Daducci, Alessandro; Wassermann, Demian et al. (2017) Advances in computational and statistical diffusion MRI. NMR Biomed :
Rydhög, Anna S; Szczepankiewicz, Filip; Wirestam, Ronnie et al. (2017) Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain. Neuroimage 156:423-434
Oestreich, Lena K L; Lyall, Amanda E; Pasternak, Ofer et al. (2017) Characterizing white matter changes in chronic schizophrenia: A free-water imaging multi-site study. Schizophr Res 189:153-161
Seitz, Johanna; Rathi, Yogesh; Lyall, Amanda et al. (2017) Alteration of gray matter microstructure in schizophrenia. Brain Imaging Behav :
Essayed, Walid I; Zhang, Fan; Unadkat, Prashin et al. (2017) White matter tractography for neurosurgical planning: A topography-based review of the current state of the art. Neuroimage Clin 15:659-672
Tax, Chantal M W; Westin, Carl-Fredrik; Dela Haije, Tom et al. (2017) Quantifying the brain's sheet structure with normalized convolution. Med Image Anal 39:162-177

Showing the most recent 10 out of 151 publications