MRI STUDIES OF THE BRAIN IN HEALTH AND ILLNESS

健康和疾病状态下大脑的 MRI 研究

• 批准号: 7955771
• 负责人: BRADLEY S PETERSON
• 金额: $ 0.34万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955771
• 关键词: Affective; Anxiety Disorders; Attention deficit hyperactivity disorder; Brain; Brain imaging; Clinical; Computer Retrieval of Information on Scientific Projects Database; Diagnostic; Disease; Disruptive Behavior Disorder; Functional disorder; Funding; Gilles de la Tourette syndrome; Grant; Hyperactive behavior; Institution; Magnetic Resonance Imaging; Modeling; Neurobiology; Obsessive-Compulsive Disorder; Pathological Gambling; Research; Research Personnel; Resources; Source; Substance Use Disorder; Symptoms; United States National Institutes of Health; computational anatomy; design; experience; inattention; neuropsychiatry; novel therapeutics; relating to nervous system; response

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This study will use functional MR brain imaging (fMRI) to understand better the neurobiology of neuropsychiatric disorders such as Tourette's syndrome, Obsessive-Compulsive Disorder (OCD), Attention Deficit Hyperactivity Disorder (ADHD), anxiety disorders, substance use disorders, pathological gambling, affective illness and disruptive behavior disorders. Clinical experience has shown that people with a serious neuropsychiatric disorder suffer most not from their primary diagnostic symptoms, but from their difficulties with impulse control, hyperactivity, inattention, and response inhibition. These problems cut across most diagnostic domains and are amongst the most frequent causes for clinical referral. By understanding the neural dysfunction involved in these disorders, we will be better able to design and assess the effects of new therapeutics.

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