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Novel Diffusion MRI in Early Psychosis

早期精神病的新型弥散磁共振成像

基本信息

批准号：
10166926
负责人：
Carl-Fredrik Westin
金额：
$ 79.04万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-02-15 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10166926
关键词：
Acceleration Bipolar Disorder Brain Brain Diseases Brain Pathology Clinical Clinical Research Computer Analysis Delusions Diagnosis Diffusion Diffusion Magnetic Resonance Imaging Digital Imaging and Communications in Medicine Disease Etiology Extracellular Space Foundations Functional disorder Funding Goals Hallucinations Human Image Imaging technology Inflammation Investigation Lead Mathematics Measurement Measures Medical Imaging Mental disorders Methodology Methods Modeling Molecular Monitor Motion Nature Nerve Degeneration Neurites Neurons Neurosciences Nuclear Magnetic Resonance Participant Pathologic Pathologic Processes Pathology Patients Performance Physical Chemistry Physiologic pulse Process Property Protocols documentation Psychiatry Psychoses Psychotic Disorders Reproducibility Research Personnel Role Safety Scanning Schizophrenia Sensitivity and Specificity Sequence Analysis Shapes Slice Speed Structure Symptoms Techniques Testing Time Tissues United States National Institutes of Health Water axonal degeneration base brain tissue connectome design experience image processing imaging biomarker imaging modality imaging study improved in silico in vivo neuroinflammation non-Gaussian model non-invasive imaging novel novel strategies prototype signal processing simulation spectrograph

项目摘要

Abstract Our goal is to provide novel, clinically feasible, and precise diffusion magnetic resonance imaging (dMRI) tech- nologies for investigation of the in-vivo human brain's cellular microstructure in early psychosis. Psychotic dis- orders are devastating brain diseases that include a range of symptoms such as delusions, hallucinations, and thought disorder. A better understanding of the etiology of psychosis can lead to improved diagnosis and treatment. dMRI is a noninvasive imaging method that has identified unique microstructural abnormalities in psychosis. However, as many pathological processes have been proposed to co-exist in psychosis, there is a need for more specific measures derived from dMRI. Current state-of-the-art dMRI encodes (measures) diffusion along a single direction using a technique called single diffusion encoding. We propose q-space trajectory imaging (QTI), a new dMRI method that dynamically changes the measurement orientation during acquisition to better characterize the true complexity of water molecule motion. The novel QTI sequences that we propose allow measurement of microstructural properties of the in-vivo human brain that are invisible using today's scanning methods. These microstructural properties are mathematically expressed in terms of variability in size (CMD), shape (Cµ), and orientation (Cc), extracted from a model representing a mixture of distinct neuronal tissue microenvironments, such as neurites, cellular domains and extracellular spaces. To achieve our goals we propose the following three aims. In Aim 1, we will develop experimental foundations for novel dMRI. We will investigate QTI methodologies to better characterize important pathological features expected in psychosis. We will extend the QTI framework to enable microstructural models and properties that explicitly account for restricted, non-Gaussian, and time-dependent diffusion. The successful endpoint of this aim will provide measures and models for the extraction of new microstructural properties related to psychosis from QTI. In Aim 2, we will develop novel dMRI sequences and standards. We propose to develop robust and fast QTI pulse sequences and scan protocols, with representation of the acquisition parameters in DICOM. The successful endpoint of this aim will be novel, robust, and fast acquisitions (under 15 minutes), enabling QTI for clinical studies. In Aim 3, we propose to study QTI-based microstructure measures in 24 early psychosis pa- tients and 24 matched controls to disentangle pathologies that co-exist in psychosis, such as neurodegenera- tive and neuroinflammatory processes. We expect that upon successful completion of the proposed project, we will have developed novel dMRI to provide increased sensitivity and specificity for the study of the in-vivo human brain's cellular microstructure.

摘要

项目成果

期刊论文数量（175）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Joint modeling of anatomical and functional connectivity for population studies.

人群研究的解剖和功能连通性的联合建模。

DOI：
10.1109/tmi.2011.2166083
发表时间：
2012-02
期刊：
IEEE transactions on medical imaging
影响因子：
10.6
作者：
Venkataraman A;Rathi Y;Kubicki M;Westin CF;Golland P
通讯作者：
Golland P

Gray matter alterations in early aging: a diffusion magnetic resonance imaging study.

早期衰老中的灰质变化：扩散磁共振成像研究。

DOI：
10.1002/hbm.22441
发表时间：
2014-08
期刊：
HUMAN BRAIN MAPPING
影响因子：
4.8
作者：
Rathi, Y.;Pasternak, O.;Savadjiev, P.;Michailovich, O.;Bouix, S.;Kubicki, M.;Westin, C. -F.;Makris, N.;Shenton, M. E.
通讯作者：
Shenton, M. E.

Local white matter geometry from diffusion tensor gradients.

DOI：
10.1016/j.neuroimage.2009.10.073
发表时间：
2010-02-15
期刊：
NEUROIMAGE
影响因子：
5.7
作者：
Savadjiev, Peter;Kindlmann, Gordon L.;Bouix, Sylvain;Shenton, Martha E.;Westin, Carl-Fredrik
通讯作者：
Westin, Carl-Fredrik

Probabilistic ODF estimation from reduced HARDI data with sparse regularization.

DOI：
10.1007/978-3-642-23629-7_23
发表时间：
2011
期刊：
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子：
0
作者：
Tristán-Vega A;Westin CF
通讯作者：
Westin CF

A filtered approach to neural tractography using the Watson directional function.

DOI：
10.1016/j.media.2009.10.003
发表时间：
2010-02
期刊：
MEDICAL IMAGE ANALYSIS
影响因子：
10.9
作者：
Malcolm, James G.;Michailovich, Oleg;Bouix, Sylvain;Westin, Carl-Fredrik;Shenton, Martha E.;Rathi, Yogesh
通讯作者：
Rathi, Yogesh