基本信息
浏览量:3
职业迁徙
个人简介
My Research
KEYWORDS
Brain imaging, Neuroscience, Spectroscopy, Metabolic imaging, Traumatic brain injury, Concussion, Multiple sclerosis, Alzheimer's Disease
SUMMARY
In the clinic, neurologists often encounter patients whose symptoms are not explained by an MRI exam. Such discordance between clinical and radiological findings is explained by the fact that a routine MRI does not reflect all aspects of brain health. For example, tissue that looks normal on MRI can have chemical imbalances that can be responsible for current symptoms or future disease. One way to image such biochemical or metabolic changes is a technique called magnetic resonance spectroscopy (MRS). The research of our laboratory focuses on the use of MRS in neurological disorders, particularly in concussion/traumatic brain injury (TBI) and multiple sclerosis (MS).
The work is done through departmental, institutional, and international collaborations with physicians, physicists, and other scientists, and currently includes the following areas of investigation funded by the National Institutes of Health:
Quantitative Sodium MR Imaging and Proton MR Spectroscopy in Traumatic Brain Injury. Metabolic, microstructural and other quantitative MRI data is acquired to investigate the use of multimodal MRI and MRS to predict long-term TBI outcomes.
Multiparametric MR Spectroscopy in MS. In our research on MS, the goal is to study the metabolic changes occurring in recently diagnosed patients. A current focus is on the use of multiparametric MRS to detect neurodegeneration.
MR Spectroscopy in pre-clinical Alzheimer's Disease. This research, supported by NYU Langone’s Alzheimer’s Disease Center, aims to identify novel MRS markers and approaches that can be used to predict the onset of the disease.
MR Spectroscopy of Repetitive TBI in Athletes. Here the goal is to detect pathology which is associated with repetitive TBI.
KEYWORDS
Brain imaging, Neuroscience, Spectroscopy, Metabolic imaging, Traumatic brain injury, Concussion, Multiple sclerosis, Alzheimer's Disease
SUMMARY
In the clinic, neurologists often encounter patients whose symptoms are not explained by an MRI exam. Such discordance between clinical and radiological findings is explained by the fact that a routine MRI does not reflect all aspects of brain health. For example, tissue that looks normal on MRI can have chemical imbalances that can be responsible for current symptoms or future disease. One way to image such biochemical or metabolic changes is a technique called magnetic resonance spectroscopy (MRS). The research of our laboratory focuses on the use of MRS in neurological disorders, particularly in concussion/traumatic brain injury (TBI) and multiple sclerosis (MS).
The work is done through departmental, institutional, and international collaborations with physicians, physicists, and other scientists, and currently includes the following areas of investigation funded by the National Institutes of Health:
Quantitative Sodium MR Imaging and Proton MR Spectroscopy in Traumatic Brain Injury. Metabolic, microstructural and other quantitative MRI data is acquired to investigate the use of multimodal MRI and MRS to predict long-term TBI outcomes.
Multiparametric MR Spectroscopy in MS. In our research on MS, the goal is to study the metabolic changes occurring in recently diagnosed patients. A current focus is on the use of multiparametric MRS to detect neurodegeneration.
MR Spectroscopy in pre-clinical Alzheimer's Disease. This research, supported by NYU Langone’s Alzheimer’s Disease Center, aims to identify novel MRS markers and approaches that can be used to predict the onset of the disease.
MR Spectroscopy of Repetitive TBI in Athletes. Here the goal is to detect pathology which is associated with repetitive TBI.
研究兴趣
论文共 59 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Anna M. Chen,Teresa Gerhalter,Seena Dehkharghani,Rosemary Peralta, Mia Gajdosik,Martin Gajdosik,Mickael Tordjman, Julia Zabludovsky,Sulaiman Sheriff,Sinyeob Ahn,James S. Babb,Tamara Bushnik,
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn