Schizophrenia risk to onset: Neurobiology and prevention

精神分裂症的发病风险:神经生物学和预防

基本信息

项目摘要

DESCRIPTION (provided by applicant): This revised application for a Mentored Patient-Oriented Research Career Development Award (K23) presents a plan for Dr. Cheryl Corcoran to pursue training and research in the prospective assessment of the schizophrenia prodrome, specifically risk factors, intervening variables and markers associated with the onset of psychosis. The goals of the training and research plan are integrated around the hypothesis that the neural diathesis of schizophrenia liability involves a vulnerability to develop psychosis in the context of psychosocial stress. Dr. Corcoran currently has experience in studying 1) the schizophrenia prodrome and 2) stress exposure and its correlates in schizophrenia. Under the sponsorship of Dr. Malaspina, and drawing upon resources at both NYSPI/Columbia and Hillside Hospital, Dr. Corcoran's training plan combines formal coursework and direct supervision with clinical research experience and training. Dr. Corcoran has established a prodromal research clinic at NYSPI, entitled the "Center of Prevention and Evaluation" (COPE). The training plan involves 1) clinical methodologies in the assessment of stress and the HPA axis in schizophrenia (Malaspina); 2) increased expertise in prodromal research and neuropsychology (Cornblatt); 3) data analysis in longitudinal studies (Begg) and 4) adolescent cognitive and social development (Kestenbuam). The research plan is a prospective cohort study of prodromal patients that employs clinical methodologies that probe HPA axis function, prodromal symptoms, and psychosocial stress exposure. The hypotheses are that baseline stress-reactivity (stress reactive cortisol and impaired tolerance to normal stress) and intervening life events will increase risk for psychosis in prodromal patients. Important covariates are also evaluated, including cognition, early trauma, and medication and substance use. This study will provide the applicant with the knowledge and research experience necessary to apply for an R01 to further evaluate risk factors, mediators and markers of psychosis onset in prodromal patients.
描述(由申请人提供):这份修订后的申请为指导的以患者为导向的研究职业发展奖(K23)提出了一项计划,供谢丽尔·科科伦博士在精神分裂症前驱症状的前瞻性评估中进行培训和研究,特别是风险因素,干预变量和与精神病发作相关的标志物。培训和研究计划的目标是围绕这样一个假设,即精神分裂症易感性的神经素质涉及在心理社会压力的背景下发展精神病的脆弱性。Corcoran博士目前在研究1)精神分裂症前驱症状和2)精神分裂症的应激暴露及其相关性方面有经验。在Malaspina博士的赞助下,并利用NYSPI/哥伦比亚和希尔赛德医院的资源,Corcoran博士的培训计划将正式课程和直接监督与临床研究经验和培训相结合。Corcoran博士在NYSPI建立了一个前驱研究诊所,名为“预防和评估中心”(科普)。培训计划包括:1)精神分裂症压力和HPA轴评估的临床方法(Malaspina); 2)增加前驱研究和神经心理学方面的专业知识(Cornblatt); 3)纵向研究中的数据分析(Begg)和4)青少年认知和社会发展(Kestenbuam)。该研究计划是一项前驱患者的前瞻性队列研究,采用临床方法,探测HPA轴功能,前驱症状和心理社会压力暴露。假设是,基线应激反应(应激反应性皮质醇和正常应激耐受性受损)和干预生活事件将增加前驱患者的精神病风险。重要的协变量也进行了评估,包括认知,早期创伤,药物和物质的使用。本研究将为申请人提供申请R 01所需的知识和研究经验,以进一步评估前驱患者精神病发作的风险因素、介质和标志物。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

CHERYL MARY CORCORAN其他文献

CHERYL MARY CORCORAN的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('CHERYL MARY CORCORAN', 18)}}的其他基金

Computational phenotyping of face expression in early psychosis
早期精神病面部表情的计算表型
  • 批准号:
    10608718
  • 财政年份:
    2023
  • 资助金额:
    $ 17.68万
  • 项目类别:
Using the RDoC Approach to Understand Thought Disorder: A Linguistic Corpus-Based Approach
使用 RDoC 方法理解思维障碍:基于语言语料库的方法
  • 批准号:
    9903990
  • 财政年份:
    2019
  • 资助金额:
    $ 17.68万
  • 项目类别:
Thought disorder and social cognition in clinical risk states for schizophrenia
精神分裂症临床危险状态下的思维障碍和社会认知
  • 批准号:
    9920230
  • 财政年份:
    2017
  • 资助金额:
    $ 17.68万
  • 项目类别:
Automated linguistic analyses of semantics and syntax in speech output in the psychosis prodrome: A novel paradigm to evaluate subtle thought disorder.
精神病前驱症状中语音输出的语义和句法的自动语言分析:评估微妙思维障碍的新范式。
  • 批准号:
    9558919
  • 财政年份:
    2017
  • 资助金额:
    $ 17.68万
  • 项目类别:
Automated linguistic analyses of semantics and syntax in speech output in the psychosis prodrome: A novel paradigm to evaluate subtle thought disorder.
精神病前驱症状中语音输出的语义和句法的自动语言分析:评估微妙思维障碍的新范式。
  • 批准号:
    9017082
  • 财政年份:
    2016
  • 资助金额:
    $ 17.68万
  • 项目类别:
Automated linguistic analyses of semantics and syntax in speech output in the psychosis prodrome: A novel paradigm to evaluate subtle thought disorder.
精神病前驱症状中语音输出的语义和句法的自动语言分析:评估微妙思维障碍的新范式。
  • 批准号:
    9231498
  • 财政年份:
    2016
  • 资助金额:
    $ 17.68万
  • 项目类别:
Thought disorder and social cognition in clinical risk states for schizophrenia
精神分裂症临床危险状态下的思维障碍和社会认知
  • 批准号:
    9176279
  • 财政年份:
    2016
  • 资助金额:
    $ 17.68万
  • 项目类别:
Thought disorder and social cognition in clinical risk states for schizophrenia
精神分裂症临床危险状态下的思维障碍和社会认知
  • 批准号:
    9331744
  • 财政年份:
    2016
  • 资助金额:
    $ 17.68万
  • 项目类别:
Schizophrenia risk to onset: Neurobiology and prevention
精神分裂症的发病风险:神经生物学和预防
  • 批准号:
    7386034
  • 财政年份:
    2004
  • 资助金额:
    $ 17.68万
  • 项目类别:
Schizophrenia risk to onset: Neurobiology and prevention
精神分裂症的发病风险:神经生物学和预防
  • 批准号:
    7051471
  • 财政年份:
    2004
  • 资助金额:
    $ 17.68万
  • 项目类别:

相似海外基金

Construction of a learning support system through learning behavior prediction using student modeling
使用学生建模通过学习行为预测构建学习支持系统
  • 批准号:
    23K17604
  • 财政年份:
    2023
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Development of Service Process Measurement System based on Behavior Prediction in Nursing-care Service
基于行为预测的护理服务过程测量系统开发
  • 批准号:
    22K12286
  • 财政年份:
    2022
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
  • 批准号:
    2219866
  • 财政年份:
    2022
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Standard Grant
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
  • 批准号:
    2219867
  • 财政年份:
    2022
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Standard Grant
Object State Change Detection and Human Behavior Prediction Focused on Hand Manipulation
专注于手部操作的物体状态变化检测和人类行为预测
  • 批准号:
    21J11626
  • 财政年份:
    2021
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
  • 批准号:
    1955365
  • 财政年份:
    2020
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Standard Grant
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
  • 批准号:
    1955404
  • 财政年份:
    2020
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Standard Grant
Behavior Prediction of Traffic Participants based on Micro and Macro features for Urban Automated Driving
城市自动驾驶基于微观和宏观特征的交通参与者行为预测
  • 批准号:
    20K04397
  • 财政年份:
    2020
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CAREER: Towards Fatigue Behavior Prediction of Structural Materials through Computationally-Informed Textural and Microstructural Characteristics
职业:通过计算信息的纹理和微观结构特征预测结构材料的疲劳行为
  • 批准号:
    1751591
  • 财政年份:
    2018
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Standard Grant
Research on Behavior Prediction of Cylindrical Line Structure with Rotation in Flow
流动中旋转圆柱线结构行为预测研究
  • 批准号:
    18H01634
  • 财政年份:
    2018
  • 资助金额:
    $ 17.68万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了