The Center for Neuroscience-based Mental Health Assessment and Prediction (NeuroMAP)

基于神经科学的心理健康评估和预测中心 (NeuroMAP)

基本信息

批准号：
10711134
负责人：
MARTIN P. PAULUS
金额：
$ 251.23万
依托单位：
LAUREATE INSTITUTE FOR BRAIN RESEARCH
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-15 至 2028-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10711134
关键词：
Anxiety Anxiety Disorders Area Arizona Award Behavior Biological Brain Categories Cells Computer Models Country Data Databases Diffusion Magnetic Resonance Imaging Disease Disease model Emotional Environment Experimental Designs Extramural Activities Functional Magnetic Resonance Imaging Funding Future Goals Grant Image Individual Infrastructure Intervention Laboratories Left Link Medical Mental Depression Mental Health Mental disorders Mentally Disabled Persons Mentors Michigan Mood Disorders Myelin National Institute of Mental Health Neurosciences Oklahoma Paper Phase Physiology Pilot Projects Postdoctoral Fellow Prefrontal Cortex Process Publishing Recurrence Relapse Reporter Research Research Infrastructure Research Personnel Research Project Grants Research Training Resources Risk Robin bird Services Severities South Carolina Standardization Symptoms Talents Thinking Time Training Underrepresented Minority United States National Institutes of Health Universities adaptive immunity anxious individuals avoidance behavior base career career development comorbidity data management data repository diagnostic strategy exosome health assessment improved infrastructure development language processing minority investigator neural neurofeedback neuroimaging programs recruit statistics tool transcranial direct current stimulation young adult

项目摘要

PROJECT SUMMARY: Overall Mood and Anxiety Disorders are the most prevalent and disabling mental health conditions worldwide, yet there are limited explanatory and predictive disease models available for these conditions. The theme of the Neuroscience-based Mental Health Assessment and Prediction (NeuroMAP) CoBRE is based on the premise that experimental designs that use transdiagnostic approaches (i.e., processes that cut across disease categories) with multiple levels of analyses (symptoms & behavior, circuits & physiology, cells & molecules) can identify disease modifying processes that can become targets of interventions. Phase I of NeuroMAP recruited 8 RPLs and 8 PPIs. As of 6/2022, they applied for 99 extramural grants, received 8 federal grants, and published 130 papers linked to the P20. Two underrepresented minority investigators using NeuroMAP Core data received prestigious Maximizing Opportunities for Scientific and Academic Independent Careers (MOSAIC) K99/R00 awards. Prior to the NeuroMAP CoBRE (funded 9/15/2017) the annual NIH funding for LIBR was $662,104 (NIH Reporter accessed 6/17/2022), for 2021/22 the annual funding is $7,555,510 ($5,368,214 without the CoBRE), which is a 11.4 (8.1)-fold increase. The goal for Phase II of the NeuroMAP is to maintain and expand the infrastructure for RPLs. The Specific Aims of NeuroMAP are: (1) To expand the critical mass of investigators that are focused on Neuroscience-based Mental Health Assessment and Prediction approaches to mood and anxiety disorders. (2) To provide an operational infrastructure that provides the tools necessary to conduct research projects, standardize assessments, and provide a data repository for future pilot projects. (3) To provide a mentoring and career development infrastructure to junior investigators to conduct studies focused on targetable, disease modifying processes in mood or anxiety disorders. NeuroMAP will consists of: (a) an Administrative Core (Paulus); a Recruitment and Assessment Core (Aupperle & Khalsa), a Circuit and Molecules Core (Rohan & Savitz), and a Data Management and Statistics Core (Kuplicki & Thompson). There are three proposed projects: (1) Transcranial Direct Current Stimulation: Threat Sensitivity target (Ironside) - External Mentor: Monique Ernst, NIMH; Internal Mentor: Robin Aupperle, LIBR. (2) The effects of aversive interoceptive states on the computations and associated neural basis of avoidance behavior (Smith) - External Mentor: Philip Corlett, Yale University; Internal Mentor: Jennifer Stewart, LIBR. (3) Modulating repetitive negative thinking related brain networks in young adults with depression (Tsuchiyagaito) - External Mentor: Kate Fitzgerald, University of Michigan; Internal Mentor: Jonathan Savitz, LIBR. The goal of Phase II is to expand research in mood and anxiety disorders, build a bigger base of funded investigators, and to attract more young talent to delineate the processes that contribute to individuals developing, recovering from, and relapsing to mood and anxiety disorders.

项目概要：总体情绪和焦虑障碍是全世界最普遍和最致残的心理健康状况，但对于这些病症可用的解释和预测疾病模型有限。此次活动的主题是基于神经科学的心理健康评估和预测 (NeuroMAP) CoBRE 的前提是使用跨诊断方法（即跨越疾病的过程）的实验设计类别）具有多个层次的分析（症状和行为、电路和生理学、细胞和分子）可以识别可以成为干预目标的疾病改变过程。 NeuroMAP 第一阶段招募了8名RPL和8名PPI。截至 2022 年 6 月，他们申请了 99 项校外补助金，获得了 8 项联邦补助金，并发表了 130 篇与 P20 相关的论文。两名代表性不足的少数族裔研究人员使用 NeuroMAP 核心数据获得享有盛誉的科学和学术独立职业机会最大化（马赛克）K99/R00 奖项。在 NeuroMAP CoBRE（资助日期：2017 年 9 月 15 日）之前，NIH 每年资助 LIBR 为 662,104 美元（NIH 记者于 2022 年 6 月 17 日访问），2021/22 年度资金为 7,555,510 美元（不含 CoBRE 为 5,368,214 美元），增加了 11.4 (8.1) 倍。 NeuroMAP 第二阶段的目标是维护和扩展 RPL 的基础设施。 NeuroMAP 的具体目标是： (1) 扩展专注于基于神经科学的心理健康评估和情绪和焦虑症的预测方法。 (2) 提供运营基础设施提供开展研究项目、标准化评估和提供数据所需的工具未来试点项目的存储库。 (3) 为青年人提供指导和职业发展基础设施研究人员进行的研究重点是情绪或焦虑的有针对性的、疾病改变过程失调。 NeuroMAP 将由以下部分组成： (a) 行政核心 (Paulus)；一、招聘与考核核心 (Aupperle & Khalsa)、电路和分子核心 (Rohan & Savitz) 以及数据管理和统计核心（Kuplicki 和 Thompson）。拟建项目有3个：（1）经颅直流电刺激：威胁敏感度目标 (Ironside) - 外部导师：Monique Ernst，NIMH；内部导师：罗宾·奥珀勒，LIBR。 (2) 厌恶内感受状态对计算和相关的影响回避行为的神经基础（史密斯） - 外部导师：Philip Corlett，耶鲁大学；内部导师：詹妮弗·斯图尔特，LIBR。 (3) 调节年轻人重复性消极思维相关的大脑网络患有抑郁症 (Tsuchiyagaito) - 外部导师：凯特·菲茨杰拉德 (Kate Fitzgerald)，密歇根大学；内部导师：乔纳森·萨维茨，LIBR。第二阶段的目标是扩大对情绪和焦虑症的研究，建立一个扩大资助调查人员的基础，并吸引更多的年轻人才来描述流程有助于个人情绪和焦虑障碍的发展、恢复和复发。

项目成果

期刊论文数量（82）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Reduced immunity to measles in adults with major depressive disorder.

患有重度抑郁症的成年人对麻疹的免疫力降低。

DOI：
发表时间：
2019
期刊：
影响因子：
6.9
作者：
Ford, Bart N;Yolken, Robert H;Dickerson, Faith B;Teague, T Kent;Irwin, Michael R;Paulus, Martin P;Savitz, Jonathan
通讯作者：
Savitz, Jonathan

Advances in the computational understanding of mental illness.

对精神疾病的计算理解的进展。

DOI：
发表时间：
2021-01
期刊：
影响因子：
0
作者：
Huys, Quentin J M;Browning, Michael;Paulus, Martin P;Frank, Michael J
通讯作者：
Frank, Michael J

Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-Frequency Phase Coupling.

多相锁定值：确定瞬时多频相位耦合的通用方法。

DOI：
发表时间：
2022-04
期刊：
影响因子：
0
作者：
Vasudeva, Bhavya;Tian, Runfeng;Wu, Dee H;James, Shirley A;Refai, Hazem H;Ding, Lei;He, Fei;Yang, Yuan
通讯作者：
Yang, Yuan

Real-Time fMRI Functional Connectivity Neurofeedback Reducing Repetitive Negative Thinking in Depression: A Double-Blind, Randomized, Sham-Controlled Proof-of-Concept Trial.

实时功能磁共振成像功能连接神经反馈减少抑郁症中的重复消极思维：双盲、随机、假对照概念验证试验。

DOI：
发表时间：
2023
期刊：
影响因子：
22.8
作者：
Tsuchiyagaito, Aki;Misaki, Masaya;Kirlic, Namik;Yu, Xiaoqian;Sánchez, Stella M;Cochran, Gabe;Stewart, Jennifer L;Smith, Ryan;Fitzgerald, Kate D;Rohan, Michael L;Paulus, Martin P;Guinjoan, Salvador M
通讯作者：
Guinjoan, Salvador M

Interoception and Inflammation in Psychiatric Disorders.

精神疾病的内感受和炎症。