Neuroanatomical associations with the factor structure underlying neuropsychiatric symptoms in Alzheimer's disease

神经解剖学与阿尔茨海默病神经精神症状因素结构的关联

• 批准号: 10450779
• 负责人: Edward D Huey
• 金额: $ 39.48万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2022-12-16
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10450779
• 关键词: Address; Adverse effects; Alzheimer' s Disease; Alzheimer' s disease brain; Alzheimer' s disease patient; Alzheimer' s disease related dementia; Amygdaloid structure; Anatomy; Anxiety; Assessment tool; Behavior Disorders; Bilateral; Biological; Brain; Caring; Classification; Clinic; Clinical; Clinical Trials; Communities; DSM-V; Data; Development; Diagnosis; Equipment and supply inventories; Evaluation; Functional Magnetic Resonance Imaging; Funding; Goals; Gold; Interview; Investigation; Joints; Knowledge; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Memory Disorders; Molecular; Moods; Nature; Neurobehavioral Manifestations; Neurodegenerative Disorders; Participant; Patient Care; Patients; Pharmacological Treatment; Population; Prefrontal Cortex; Preparation; Property; Psychiatric Diagnosis; Psychiatry; Psychometrics; Psychopathology; Psychoses; Public Health; Research; Resources; Rest; Severities; Standardization; Structure; Sum; Symptoms; Testing; Transcranial magnetic stimulation; Traumatic Brain Injury; United States National Institutes of Health; associated symptom; base; cingulate cortex; cohort; common symptom; community clinic; cost; design; experience; geriatric depression; improved; informant; instrument; member; mortality; motor symptom; neuropsychiatric symptom; neuropsychiatry; novel; programs; psychiatric symptom; recruit; response; sound; symptom treatment; tool; white matter

We propose to utilize a factor-based approach to classify Neuropsychiatric Symptoms (NPS) in a data-driven manner, and to determine the brain networks associated with different NPS factors, in 200 participants with mild Alzheimer’s disease (AD). There is a crucial need to develop improved treatments for NPS in ADRD. Current pharmacological treatments for NPS were developed 50 years ago, are often inefficacious, and can have serious adverse effects including increased mortality. Neuroanatomically-based treatments such as TMS and transcranial direct current stimulation (tDCS) for NPS are promising, but their development has been hampered by our lack of knowledge about the neuroanatomical bases of NPS in ADRD. The proposed project attempts to leverage current NIH-funded research programs and assessment tools developed in psychiatric settings to address this knowledge gap by: 1. Measuring and classifying NPS in a data-driven manner; 2. Determining the associations between empirically-determined NPS factors and specific brain networks; 3. Comparing a novel brief data-driven measure of NPS to two commonly used NPS measures using a neuro- anatomic gold-standard. These investigations have not been previously performed. Our subjects will be recruited from one ongoing NIH-funded study of a community-based cohort, the Predictors of Severity in AD study (AG007370), and the Columbia Memory and Behavioral Disorders Clinic. For the proposed project, we will perform the following measures in a single cross-sectional administration: Structural, DTI, and resting BOLD MRI; The Structured Clinical Interview for DSM-5 Research Version or SCID-5-RV; And the self- and informant-based DSM 5 Cross-Cutting Psychiatric Symptom Measure or “Cross-Cutting Measure”. The SCID- 5-RV is a standardized clinical psychiatric interview developed over decades to assess a very large range of psychiatric symptoms in a reliable, valid, and psychometrically sound manner. The Cross-Cutting Measure is a valid, reliable, brief, adaptive instrument designed to assess all major domains of psychopathology with good psychometric properties. It can be administered on-line. A small number of factors have been found to underlie psychiatric diagnoses detected by the SCID, including Internalizing, Externalizing, and Psychosis factors. Damage to networks involving the ventromedial prefrontal cortex (vmPFC) and amydgala is associated with the Internalizing factor, the ventrolateral PFC (vlPFC) with the Externalizing factor, and the posterior cingulate cortex (PCC) with the Psychosis factor. We will assess the factor structure of NPS on the SCID-5-RV and determine the brain networks associated with these factors on sMRI, DTI, and fMRI. We will compare the Cross-Cutting Measure to the Neuropsychiatric Inventory and Geriatric Depression Scale using a neuroanatomic gold standard. These investigations could improve our measurement and understanding of the neuroanatomical bases of NPS and provide novel data-driven measures of NPS and treatment targets for use in clinical trials of neuroanatomically-based treatments for NPS in ADRD such as TMS and tDCS.

我们建议在数据驱动下利用基于因素的方法对神经精神症状（NPS）进行分类