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Neural signature of the (in)ability to turn physical activity intentions into actions

Neural signature of the (in)ability to turn physical activity intentions into actions
将体育活动意图转化为行动的(不)能力的神经特征
批准号:
RGPIN-2021-03153
负责人:
Boisgontier, Matthieu
金额:
$2.04万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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英文摘要
What if a fundamental principle of evolution that leads us to minimize effort had been neglected in the neuropsychology of physical activity behavior? While the rewarding value of physical activity has been widely studied, behaviors minimizing physical effort have been neglected in this regard. Yet, effort minimization has been critical during evolution. Moreover, this principle has been evidenced in multiple domains such as motor control, biomechanics, and evolutionary biology. Therefore, it is difficult to conceive of physical effort minimization differently than as an essential factor in the regulation of physical activity behavior. Within the scope of my program, theoretical and experimental work has already been initiated and supports the automatic attraction to effort minimization in physical activity. To further test this hypothesis, the objectives of this grant cycle are to investigate i) whether reward-related brain activity is associated with the automatic attraction towards physical effort minimization, ii) whether neural processes counteract this automatic attraction, and iii) which factors influence the aforementioned association and processes (e.g., sex, age, reward sensitivity, recent and real-time energy expenditure). To ensure that the constructs under investigation are exclusively related to physical effort variations, an associative conditioning paradigm will be conducted to systematically associate neutral geometrical figures with different effort patterns: increasing, decreasing, and constant. The resulting conditioned stimuli will be used in neurobehavioral paradigms crossing neuroimaging and neurostimulation techniques with behavioral tasks assessing the automatic evaluation of effort-related cues. Findings from this grant cycle will contribute to the long-term objectives of the program aiming at modifying the mechanisms supporting the automatic attraction towards effort minimization through training. During this grant cycle, a diverse and inclusive group of undergraduate and graduate highly qualified personnel will be trained to i) conceive robust neurobehavioral experimental paradigms, ii) generate knowledge and develop expertise in behavioral methods related to the psychology of physical activity and the physiology of exercise, iii) collect and analyze neuroimaging and neurophysiological data (electroencephalography, magnetic resonance imaging, transcranial magnetic stimulation), iv) conduct and understand advanced statistics (e.g., mixed effects models), and v) gain advanced scientific writing skills. Knowledge that will emerge from the conceptual and methodological innovations of this program merging neuroscience, psychology, and physiology will significantly enhance our understanding of the brain processes governing the automatic evaluation of effort-related stimuli, which will ultimately lead to a better understanding of the mechanisms underlying the (in)ability to turn physical activity intentions into actions.
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Neural signature of the (in)ability to turn physical activity intentions into actions
  • 批准号:
    RGPIN-2021-03153
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2022
  • 负责人:
    Boisgontier, Matthieu
  • 依托单位:
Neural signature of the (in)ability to turn physical activity intentions into actions
  • 批准号:
    DGECR-2021-00248
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2021
  • 负责人:
    Boisgontier, Matthieu
  • 依托单位:
国内基金
海外基金
基于Signature理论的多状态系统可靠性建模与分析
  • 批准号:
    72001016
  • 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:
    易鹤
  • 依托单位:
多部件系统应力-强度模型的可靠性分析
  • 批准号:
    11901134
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    26.0万元
  • 批准年份:
    2019
  • 负责人:
    蔡静
  • 依托单位:
基于Signature的复杂多状态系统可靠性非参数分析研究
  • 批准号:
    11701406
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    18.0万元
  • 批准年份:
    2017
  • 负责人:
    刘斌
  • 依托单位:
基于Signature的相依系统可靠性与安全分析
  • 批准号:
    71671177
  • 项目类别:
    面上项目
  • 资助金额:
    49.3万元
  • 批准年份:
    2016
  • 负责人:
    达高峰
  • 依托单位: