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Reinforcement Learning Neuropathologies Underlying Psychiatric Sequelae in Traumatic Brain Injury

Reinforcement Learning Neuropathologies Underlying Psychiatric Sequelae in Traumatic Brain Injury
脑外伤后遗症的强化学习神经病理学
批准号:
10130954
负责人:
Jeremy P Hogeveen
金额:
$19.83万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
已结题
起止时间:
至 2020-07-14

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Project Summary for Hogeveen Research Project The overarching goals of the current COBRE mentored PI project are to better understand, and precisely modulate, the neurocomputational mechanisms underlying apathy in patients with chronic moderate-to-severe traumatic brain injury (msTBI). Previous studies have established that apathy-characterized by a loss of motivation-is a common and debilitating symptom of msTBi, but the underlying neural pathologies causing apathy in msTBI remain unknown. Clinically, existing treatments for apathy in msTBi have limited efficacy, either due to their reliance on high-level cognitive abilities that are often impaired in msTBI (e.g. cognitive behavioral therapy), or their potential to induce unwanted and deleterious side effects due to a lack of circuit-specificity (e.g. pharmacotherapies that modulate dopaminergic tone throughout the brain). Therefore, there are significant needs for i) rigorous experimental neuroscience studies on the specific motivated behavior circuits that-when damaged-cause apathy in msTBI, and ii) the development of circuit-specific approaches for modulating motivation circuits in apathetic patients, not reliant on high-level cognitive functioning. In this project, the PI will use task-based functional magnetic resonance imaging (fMRI) to determine whether apathy in msTBI is associated with damage to the functional neural circuits involved in computing the anticipated reward value of stimuli in the environment (i.e., stimulus valuation), and/or damage to the circuits involved in determining whether a given reward is worth the effort required to obtain it (i.e., willingness-to-engage effort). Additionally, the PI will leverage the insights derived from this msTBI project to determine whether task fMRI-guided repetitive transcranial magnetic stimulation (rTMS) is a viable approach for circuit-specific modulation of value and effort circuits. By establishing the effectiveness of fMRI-guided rTMS for selectively engaging value and effort computation circuits, this project will form the bedrock for future R01 projects refining personalized rTMS approaches for treating neurological and psychiatric patients experiencing a loss of motivation. The PI’s goal is to build a world-class human neuroscience laboratory that develops innovative methods for characterizing and stimulating the neural circuits underlying aberrant motivated behavior through independent R01 funding. The current mentored PI project provides an ideal opportunity for the PI to jump-start this research program. The senior mentors Drs. Mayer and Pierio Richardson have proven trach records with NIH funding and extensive experience using fMRI to elucidate the functional deficits caused by TBI (Dr. Mayer) and using rTMS as a treatment for neurological patients (Dr. Pirio Richardson). Additionally, two leading scientists (Drs. Husain, Claus, and Costa) who conduct state-of-the-art research on the neurocomputational bases of motivated behavior and its pathologies have committed to consult on the proposed project. Therefore, the advisory committee will be well-suited to guide the PI as he leads this project, and will facilitate his transition to becoming an independent R01-funded investigator.
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Neurodevelopment of exploration and alcohol problems in adolescence
  • 批准号:
    10628964
  • 项目类别:
  • 资助金额:
    $59.39万
  • 财政年份:
    2023
  • 负责人:
    Jeremy P Hogeveen
  • 依托单位:
Research 1-Hogeveen
Research 1-Hogeveen
Research 1-Hogeveen
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: