In this grant application, we propose to develop clinicaly feasible methods for the acquisition and analysis of advanced diffusion magnetic resonance imaging (dMRI) of pediatric patients and apply it to study micro and macro level pathology in attention-deficit hyperactivity-disorder (ADHD). Advanced dMRI techniques can provide details about the layout of white matter pathways in the brain, that are not possible using the current clinical standard of diffusion tensor imaging (DTI). However, these advanced protocols require long scan times and any motion during this time results in artifacts and loss of signal. As a result, dMRI acquisition of children becomes a challenging task, particularly if they are hyperactive (as in ADHD). In this grant application, we propose several novel algorithms for fast acquisition and reconstruction of advanced dMRI protocols. In particular, we will use our multi-slice acquisition protocol (as opposed to the standard single-slice acquisition) along with a scheme to recover dMRI signals from very few measurements. This will dramatically reduce scan time and make it possible to obtain advanced dMRI scans of pediatric patients (in a clinic). We will validate our methods on several test subjects and then apply them to the study of children and adolescents with ADHD. In particular, we will analyze global connectivity properties of the anatomical neural networks in ADHD along with local diffusion based microstructural properties that may be affected due to pathology. Thus, the improvements suggested in this proposal will bring advanced dMRI protocols to the clinic and allow us to quantify micro and macro level abnormalities in patients with any type of psychiatric or neurological disorder.

Public Health Relevance

Diffusion magnetic resonance imaging is an in-vivo technique to map the neural connectivity of the brain, which allows the study of various brain disorders. In this grant application, we propose to develop clinically feasible methods for the acquisition and analysis of advanced diffusion magnetic resonance imaging (dMRI) of pediatric patients and apply it to study micro and macro level pathology in attention-deficit hyperactivity-disorder (ADHD). The proposed technology will reduce the scan time dramatically, making it possible to use advanced dMRI in the clinic on pediatric population.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH097979-02
Application #
8547101
Study Section
Special Emphasis Panel (NOIT)
Program Officer
Friedman-Hill, Stacia
Project Start
2012-09-18
Project End
2017-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
2
Fiscal Year
2013
Total Cost
$421,458
Indirect Cost
$122,005
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Reddy, Chinthala P; Rathi, Yogesh (2016) Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter. Front Neurosci 10:166
Makris, Nikolaos; Rathi, Yogesh; Mouradian, Palig et al. (2016) Variability and anatomical specificity of the orbitofrontothalamic fibers of passage in the ventral capsule/ventral striatum (VC/VS): precision care for patient-specific tractography-guided targeting of deep brain stimulation (DBS) in obsessive compulsive Brain Imaging Behav 10:1054-1067
Chen, Zhenrui; Tie, Yanmei; Olubiyi, Olutayo et al. (2016) Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography. Int J Comput Assist Radiol Surg 11:1475-86
Ning, Lipeng; Setsompop, Kawin; Michailovich, Oleg et al. (2016) A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging. Neuroimage 125:386-400
Wassermann, Demian; Makris, Nikos; Rathi, Yogesh et al. (2016) The white matter query language: a novel approach for describing human white matter anatomy. Brain Struct Funct 221:4705-4721
Ning, Lipeng; Laun, Frederik; Gur, Yaniv et al. (2015) Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Med Image Anal 26:316-31
Nazeri, Arash; Chakravarty, M Mallar; Rotenberg, David J et al. (2015) Functional consequences of neurite orientation dispersion and density in humans across the adult lifespan. J Neurosci 35:1753-62
Ning, Lipeng; Setsompop, Kawin; Michailovich, Oleg et al. (2015) A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI. Inf Process Med Imaging 24:57-68
Chen, Zhenrui; Tie, Yanmei; Olubiyi, Olutayo et al. (2015) Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography. Neuroimage Clin 7:815-22
Mirzaalian, Hengameh; de Pierrefeu, Amicie; Savadjiev, Peter et al. (2015) Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners. Med Image Comput Comput Assist Interv 9349:12-19

Showing the most recent 10 out of 23 publications