Training program in the neurology of language and neurodegenerative aphasias

语言神经病学和神经退行性失语症培训计划

• 批准号: 10216095
• 负责人: MARIA LUISA GORNO TEMPINI
• 金额: $ 18.88万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10216095
• 关键词: Acoustics; Aging; Air; Algorithms; Alzheimer' s Disease; Anatomy; Anomia; Anterior; Aphasia; Area; Articulation; Atrophic; Attention; Autopsy; Basic Science; Behavior Therapy; Behavioral; Biological Markers; Biomechanics; Brain; Caring; Cessation of life; Characteristics; Clinical; Clinical Sciences; Cognitive; Communication; Corpus striatum structure; Data; Data Science; Dementia; Diagnosis; Differential Diagnosis; Disease; Disease Progression; Early Diagnosis; Enrollment; Evaluation; Faculty; Frontotemporal Lobar Degenerations; Functional Imaging; Future; Goals; Grant; Image; Impairment; Institutes; Knowledge; Laboratories; Language; Language Disorders; Leadership; Learning; Left; Machine Learning; Magnetic Resonance Imaging; Measurement; Measures; Memory; Mentors; Methodology; Methods; Molecular; Monitor; Motor; Movement; Nerve Degeneration; Neurodegenerative Disorders; Neurologic; Neurologist; Neurology; Neurosciences; Outcome Measure; Parietal; Pathologic; Pathologist; Pathology; Patients; Pattern; Peer Review; Pharmacologic Substance; Pharmacological Treatment; Phenotype; Positioning Attribute; Predisposition; Primary Progressive Aphasia; Production; Publications; Reading; Research; Research Personnel; Research Project Grants; Resources; Sampling; Scientist; Semantics; Severities; Shapes; Site; Speech; Speech Acoustics; Speech Disorders; Speech Sound; Structure; Supervision; Syndrome; System; Talents; Techniques; Technology; Time; Tissues; Training; Training Programs; Translational Research; Universities; Update; Variant; automated analysis; automated speech recognition; brain circuitry; brain health; cognitive neuroscience; cohort; constriction; diversity and equity; experience; improved; innovation; interest; machine learning algorithm; molecular pathology; neuroimaging; next generation; novel; patient oriented research; phonology; real-time images; relating to nervous system; response; shape analysis; success; tau Proteins; tool; training opportunity; treatment response; treatment trial

This K24 grant renewal is requested to support the mentoring activities of Dr. Maria Luisa Gorno Tempini, a behavioral neurologist and cognitive neuroscientist. Dr. Gorno Tempini is a leading researcher and clinician in the fields of neurology and the neuroscience of language, with specific expertise in atypical neurodegenerative diseases that present as speech and language disorders. She mentors a talented group of clinicians and researchers to study and treat Primary Progressive Aphasia (PPA) and investigate the neural basis of language. Dr. Gorno Tempini has a proven track record of success in mentoring both clinicians and scientists in patient- oriented research (POR) related to speech and language disorders. The goals of this proposal are to support time for Dr. Gorno Tempini to mentor a growing number of increasingly diverse clinicians and researchers interested in neurodegenerative language disorders, to extend her impact as a mentor at UCSF, and to pursue novel lines of research in PPA. Leveraging the resources available at the UCSF Memory and Aging Center (MAC), the Global Brain Health Institute, and the UCSF Clinical and Translational Science Institute, she will mentor clinicians, faculty, postdoctoral scholars, and scientists with particular attention to cultivating diversity, equity, and inclusion in her laboratory, the university, and the profession at large. She will sustain her comprehensive mentoring system that features one-on-one mentoring, supervision of clinicians in patient diagnosis and care, and group mentoring activities. She will update and extend that system with opportunities for training with colleagues in speech and data science and a focus on mentoring more advanced junior colleagues as emerging mentors themselves. Dr. Gorno Tempini's experience in basic cognitive neuroscience and neurological methodologies and her increasingly nuanced leadership expertise uniquely position her to benefit a diverse group of trainees. The research project proposed here will develop automatic, efficient, and objective methods to measure speech production in PPA. The study will apply acoustic analysis scripts and automatic speech recognition to five minutes of audio recordings collected from 500 well-characterized PPA patients and employ dynamic speech MRI to identify anatomical biomarkers of vocal tract movements corresponding to speech articulation errors. This will lead to earlier detection of speech deficits; improved characterization of clinical syndromes; and more detailed, objective, and efficient outcome measures to track progression and, in the future, response to treatment. Machine learning analyses of acoustic measures and imaging data collected through other MAC projects will provide novel tools for prediction of post-mortem pathology and new knowledge on the neural basis of speech. This grant will be instrumental in supporting the pursuit of Dr. Gorno Tempini's goals to mentor the next generation of clinician scientists in the neurology of language and neurodegenerative aphasias.

这K24补助金更新要求支持玛丽亚路易莎·戈尔诺Tempini博士的指导活动， 行为神经学家和认知神经学家。Gorno Tempini博士是一位领先的研究人员和临床医生， 神经学和语言的神经科学领域，在非典型神经退行性疾病的具体专业知识 表现为言语和语言障碍的疾病她指导了一群才华横溢的临床医生， 研究人员研究和治疗原发性进行性失语症（PPA），并调查语言的神经基础。 博士Gorno Tempini在指导临床医生和科学家治疗患者方面有着成功的成功记录， 与言语和语言障碍相关的面向研究（POR）。 该提案的目标是为Gorno Tempini博士提供时间，以指导越来越多的 不同的临床医生和研究人员感兴趣的神经退行性语言障碍，以扩大她的影响， 在加州大学旧金山分校的导师，并在PPA追求新的研究路线。利用联合国系统现有的资源， 加州大学旧金山分校记忆和衰老中心（MAC），全球脑健康研究所，和加州大学旧金山分校临床和 转化科学研究所，她将指导临床医生，教师，博士后学者和科学家， 特别关注在她的实验室、大学和社区中培养多样性、公平性和包容性 专业大。她将继续她的全面指导制度，特点是一对一的指导， 监督临床医生对病人的诊断和护理，以及小组指导活动。她将更新和扩展 该系统提供与同事一起进行语音和数据科学培训的机会，并专注于指导 更先进的初级同事作为新兴导师自己。Gorno Tempini博士在基础医学方面的经验 认知神经科学和神经学方法，以及她日益细致入微的领导能力 她的独特地位，使不同的学员群体受益。 这里提出的研究项目将开发自动、高效、客观的方法来测量语音 生产PPA。该研究将应用声学分析脚本和自动语音识别， 从500名特征良好的PPA患者中收集了10分钟的音频记录，并采用动态语音 MRI以识别与语音清晰度错误相对应的声道运动的解剖学生物标志物。这 将导致更早地检测语言缺陷;改善临床综合征的特征;等等 详细，客观，有效的结果措施，以跟踪进展，并在未来， 治疗通过其他MAC收集的声学测量和成像数据的机器学习分析 这些项目将为预测死后病理学提供新的工具，并为神经基础提供新的知识 的演讲。 这笔赠款将有助于支持Gorno Tempini博士追求指导下一个 在语言和神经退行性失语症的神经学临床科学家的一代。