Diffusion tensor MRI (DTI) is a powerful in vivo technique that is sensitive to deep brain tissue water microdynamics and microstructure. DTI-derived orientation and scalar maps have the unique potential to provide objective and specific measures of the Multiple Sclerosis pathology. The hallmarks of MS pathology may include inflammation, demyelination, gliosis, direct axonal loss directly or indirectly through Wallerian degeneration (WD). WD can cause axonal loss distal from the initial demyelinating lesion and its signature in MS has not been elucidated using a comprehensive DTI and conventional MRI approach. The Corpus callosum (CC), pyramidal, corticospinal tracts coursing through the internal capsule (IC) are important structures that are implicated in neurological deficit in MS. Unfortunately, the limited published literature on DTI of MS in these structures is often inconsistent and sometimes contradictory. Based on our preliminary studies, these inconsistencies and contradictions, at least in part, could be attributed to sub-optimal acquisition schemes, arbitrary region of interest placement, failure to recognize the regional heterogeneity of these structures, the age and gender dependence of DTI measure. In order to overcome some of these limitations, we propose to acquire DTI data at 3.0 T using parallel imaging at different age groups on normal males and females. In addition, MRI data will also be acquired on MS subjects. The DTI data will be acquired from the whole brain using optimized Icosa21 scheme that is shown to be balanced and unbiased. Specifically we will concentrate on the CC, pyramidal and CST tracts which are implicated in MS, to identify WD signature in MS. We will divide the corpus callosum into seven functionally distinct sub regions. Similarly the internal capsule will be divided into four quadrants and its temporal-spatial correlations will be followed longitudinally. DTI values will be derived from each one of these individual structures. A robust DTI analysis tool will be developed for automatic analysis. This tool will also help in the fusion of multi-modal MRI data for a robust segmentation of the subregions of CC and 1C. The DTI measures, after accounting for the age and gender dependence will be correlated with the clinical measures. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS052505-03
Application #
7460860
Study Section
Clinical Neuroimmunology and Brain Tumors Study Section (CNBT)
Program Officer
Utz, Ursula
Project Start
2006-07-13
Project End
2010-05-31
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
3
Fiscal Year
2008
Total Cost
$291,992
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
800771594
City
Houston
State
TX
Country
United States
Zip Code
77225
Hasan, Khader M; Mwangi, Benson; Cao, Bo et al. (2016) Entorhinal Cortex Thickness across the Human Lifespan. J Neuroimaging 26:278-82
Kamali, Arash; Sair, Haris I; Blitz, Ari M et al. (2016) Revealing the ventral amygdalofugal pathway of the human limbic system using high spatial resolution diffusion tensor tractography. Brain Struct Funct 221:3561-9
Kamali, Arash; Yousem, David M; Lin, Doris D et al. (2015) Mapping the trajectory of the stria terminalis of the human limbic system using high spatial resolution diffusion tensor tractography. Neurosci Lett 608:45-50
Hasan, Khader M; Lincoln, John A; Nelson, Flavia M et al. (2015) Lateral ventricular cerebrospinal fluid diffusivity as a potential neuroimaging marker of brain temperature in multiple sclerosis: a hypothesis and implications. Magn Reson Imaging 33:262-9
Kamali, Arash; Hasan, Khader M; Adapa, Pavani et al. (2014) Distinguishing and quantification of the human visual pathways using high-spatial-resolution diffusion tensor tractography. Magn Reson Imaging 32:796-803
Kamali, A; Sair, H I; Radmanesh, A et al. (2014) Decoding the superior parietal lobule connections of the superior longitudinal fasciculus/arcuate fasciculus in the human brain. Neuroscience 277:577-83
Kamali, Arash; Flanders, Adam E; Brody, Joshua et al. (2014) Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography. Brain Struct Funct 219:269-81
Hasan, Khader M; Moeller, F Gerard; Narayana, Ponnada A (2014) DTI-based segmentation and quantification of human brain lateral ventricular CSF volumetry and mean diffusivity: validation, age, gender effects and biophysical implications. Magn Reson Imaging 32:405-12
Treble, Amery; Hasan, Khader M; Iftikhar, Amal et al. (2013) Working memory and corpus callosum microstructural integrity after pediatric traumatic brain injury: a diffusion tensor tractography study. J Neurotrauma 30:1609-19
Hasan, Khader M; Walimuni, Indika S; Frye, Richard E (2013) Global cerebral and regional multimodal neuroimaging markers of the neurobiology of autism: development and cognition. J Child Neurol 28:874-85

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