Training the next generation of clinical neuroscientists

培训下一代临床神经科学家

基本信息

  • 批准号:
    10390467
  • 负责人:
  • 金额:
    $ 42.9万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-07-01 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

The last decade has witnessed a surge in new research findings in neuroscience. So far, however, that impressive progress has not translated into more effective treatments, or better outcomes, for patients with serious mental illness. Although this may just be a matter of time, another contributing factor is the lack of physician scientists in the field of clinical neuroscience. Physician scientists are uniquely capable of linking basic science findings to the clinical phenomenology of psychiatric illness. Indeed, scientists like these - with both clinical and research training - are uniquely poised to bridge the gap between basic neurobiology and clinical disease. This combination is critical for advancing our understanding of the neurobiology of psychiatric disorders - and for developing the highly needed disease-modifying treatments for psychiatric illnesses. One of the explanations for the lack of clinician-scientists is the difficulty in obtaining grant funding right after residency. This proposal aims to fill that gap. In a two-three year fellowship we will provide intense research training for a select group of psychiatrists (or PhD psychologists). Upon completion, trainees should be able to apply successfully for individual grants and develop into independent clinical neuroscientists. We aim to create clinician-researchers who can combine clinical knowledge with superior research skills. The long-term goal is to help shape the new generation of leaders in clinical neuroscience. Drs. Kahn, Malaspina and New are each renowned physician scientists who combine clinical expertise with deep research and training experience. This program will fill an important gap in the otherwise impressive translational research program at the Icahn School of Medicine at Mount Sinai (ISMMS), recognized as a top ten innovative research engine worldwide by Nature. Indeed, the Departments of Neuroscience and Psychiatry are ranked #1 and #6 respectively in NIH funding. We already have extensive experience, and a successful track record, in supporting other research career pathways, including a Physician-Scientist residency research track for MD, PhD trainees, and the first Combined Psychiatry Residency and PhD Training program in the US, funded by an NIMH R25 grant, of which Dr. New is PI. We also have 6 K awardees and 2 K99/R00 investigators in our rich training programs. The proposed T32 fellowship program is designed to train psychiatrists and clinical PhDs to formulate original research questions on etiology, pathogenesis, course, treatment and prevention of serious mental illness. Its focus is on patients with schizophrenia and major mood disorders. Each trainee, paired with a mentor, will formulate a career development plan with targeted goals for acquisition of skills, presentations, publications, gathering pilot data, and preparation of proposals for external funding - usually a career development award. Regular meetings, internally and with an external advisory board, will monitor trainee development in relevant milestones. We aim to help fill the dearth in clinical neuroscientists so that the recent advances in neuroscience can be translated into better care for the millions of patients with serious mental illness.
在过去的十年里,神经科学领域的新研究成果激增。然而,到目前为止, 令人印象深刻的进展并没有转化为更有效的治疗,或更好的结果,为患者 严重的精神疾病。尽管这可能只是一个时间问题,但另一个促成因素是缺乏 临床神经科学领域的内科科学家。内科科学家是唯一有能力将 精神疾病临床现象学的基础科学发现。事实上,像这样的科学家-有了 临床和研究培训-是弥合基础神经生物学和 临床疾病。这种结合对于促进我们对精神疾病的神经生物学的理解至关重要。 此外,还为精神疾病开发了亟需的疾病修正疗法。 缺乏临床医生-科学家的原因之一是很难在毕业后立即获得资助 实习医生。这项提议旨在填补这一空白。在两三年的奖学金中,我们将提供密集的研究 对选定的精神病学家(或博士心理学家)进行培训。完成培训后,学员应该能够 成功申请个人资助,发展成为独立的临床神经学家。我们的目标是创造 临床医生--能够将临床知识与高超的研究技能相结合的研究人员。长期目标是 帮助塑造临床神经科学的新一代领导者。卡恩博士、马拉斯皮纳博士和纽恩博士都是 将临床专业知识与深厚的研究和培训经验相结合的知名内科科学家。 这个项目将填补伊坎翻译研究项目中的一个重要空白 西奈山医学院(ISMMS),被评为全球十大创新研究引擎 大自然。事实上,神经科学系和精神病学系在美国国立卫生研究院分别排名第一和第六 资金问题。在支持其他研究方面,我们已经有了广泛的经验和成功的记录 职业道路,包括医学博士、博士实习生和第一个医生-科学家驻院研究轨道 美国精神病学住院医师和博士培训相结合的项目,由NIMH R25拨款资助,其中 新博士是派。在我们丰富的培训计划中,我们还拥有6名K奖获得者和2名K99/R00调查人员。 拟议的T32奖学金计划旨在培训精神病学家和临床博士,以制定独创的 关于严重精神疾病的病因、发病机制、病程、治疗和预防的研究问题。它的 重点关注精神分裂症和严重情绪障碍的患者。每个实习生,配上一位导师,将 制定职业发展计划,为获得技能、演示文稿、出版物、 收集试点数据,并准备外部资助的提案--通常是职业发展奖。 定期与内部和外部咨询委员会举行会议,监测受训人员在相关领域的发展情况 里程碑。我们的目标是帮助填补临床神经学家的匮乏,以便在 神经科学可以转化为更好地照顾数百万严重精神疾病患者。

项目成果

期刊论文数量(0)
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Rene S. Kahn其他文献

P582. Local and Global Brain Ageing in Cognitive Subgroups of Early Psychosis
  • DOI:
    10.1016/j.biopsych.2022.02.819
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Shalaila Haas;Ruiyang Ge;Nicole Sanford;Amirhossein Modabbernia;Abraham Reichenberg;Heather Whalley;Rene S. Kahn;Sophia Frangou
  • 通讯作者:
    Sophia Frangou
Poster #162 DISTURBED SELF-AGENCY IN SCHIZOPHRENIA DUE TO ABNORMAL IMPLICIT (BUT NOT EXPLICIT) PROCESSING OF ACTION-OUTCOME INFORMATION
  • DOI:
    10.1016/s0920-9964(12)70734-x
  • 发表时间:
    2012-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Robert A. Renes;Lisanne Vermeulen;Rene S. Kahn;Henk Aarts;Neeltje E. van Haren
  • 通讯作者:
    Neeltje E. van Haren
Two Neuroanatomical Subtypes of Schizophrenia Defined by Multi-Site Machine Learning
  • DOI:
    10.1016/j.biopsych.2020.02.097
  • 发表时间:
    2020-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Daniel Wolf;Ganesh Chand;Dominic Dwyer;Guray Erus;Aristeidis Sotiras;Erdem Varol;Dhivya Srinivasan;Jimit Doshi;Raymond Pomponio;Alessandro Pigoni;Paola Dazzan;Rene S. Kahn;Hugo G. Schnack;Marcus V. Zanetti;Eva Meisenzahl;Geraldo F. Busatto;Benedicto Crespo-Facorro;Christos Pantelis;Stephen Wood;Chuanjun Zhuo
  • 通讯作者:
    Chuanjun Zhuo
Poster #53 CORTICAL THICKNESS AND CORTICAL SURFACE IN SCHIZOPHRENIA: TWO DISTINCT BUT RELEVANT PROCESSES?
  • DOI:
    10.1016/s0920-9964(12)70886-1
  • 发表时间:
    2012-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Neeltje E. van Haren;Hugo G. Schnack;Wiepke Cahn;Hilleke E. Hulshoff Pol;Rene S. Kahn
  • 通讯作者:
    Rene S. Kahn
Three Distinct Neuroanatomical Subtypes of Autism Spectrum Disorder, Revealed via Machine Learning, and Their Similarities With Schizophrenia Subtypes
  • DOI:
    10.1016/j.biopsych.2021.02.931
  • 发表时间:
    2021-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Gyujoon Hwang;Edward S. Brodkin;Ganesh B. Chand;Dominic B. Dwyer;Junhao Wen;Guray Erus;Jimit Doshi;Dhivya Srinivasan;Erdem Varol;Aristeidis Sotiras;Paola Dazzan;Rene S. Kahn;Hugo G. Schnack;Marcus V. Zanetti;Eva Meisenzahl;Geraldo F. Busatto;Benedicto Crespo-Facorro;Christos Pantelis;Stephen J. Wood;Chuanjun Zhuo
  • 通讯作者:
    Chuanjun Zhuo

Rene S. Kahn的其他文献

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{{ truncateString('Rene S. Kahn', 18)}}的其他基金

Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10457174
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10409839
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Training the next generation of clinical neuroscientists
培训下一代临床神经科学家
  • 批准号:
    10649573
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10092398
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10912925
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10621232
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:
Psychosis Risk Evaluation, Data Integration and Computational Technologies (PREDICT): Data Processing, Analysis, and Coordination Center
精神病风险评估、数据集成和计算技术 (PREDICT):数据处理、分析和协调中心
  • 批准号:
    10256796
  • 财政年份:
    2020
  • 资助金额:
    $ 42.9万
  • 项目类别:

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