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相关概念视频

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Decision Making: Traditional Method01:14

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
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一种计算方法来理解抑郁症中基于努力的决策.

Vincent Valton1, Anahit Mkrtchian2, Madeleine Moses-Payne3

  • 1Institute of Cognitive Neuroscience, https://ror.org/02jx3x895University College London, London, UK.

Psychological medicine
|October 8, 2025
PubMed
概括

抑郁症会损害动机,但计算分析显示,减少了努力接受偏差,而不是改变了奖励灵敏度,这是抑郁症患者的基础. 这种偏见可能是治疗目标的特征性因素.

关键词:
这是一个无情的世界,无情的世界.计算精神病学是一种计算精神病学.抑郁 抑郁症 抑郁症 抑郁症 是一种基于努力的决策.动机 激励 动机

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科学领域:

  • 认知神经科学 认知神经科学
  • 计算精神病学是一种计算精神病学.
  • 情感神经科学是一种神经科学.

背景情况:

  • 动机功能障碍是抑郁症的一个关键特征,影响日常功能.
  • 动机受损的认知基础及其缓解后的持久性需要进一步调查.
  • 基于努力的决策,通过计算分析,为理解动机提供了一个框架.

研究的目的:

  • 在抑郁症中计算分析与努力和奖励相关的决策机制.
  • 调查抑郁症缓解后是否存在动机方面的认知障碍.
  • 确定抑郁症中动机缺陷的特定计算驱动因素.

主要方法:

  • 利用Apple Gathering任务来评估基于努力的决策,并校准了努力和奖励水平.
  • 对决策模式进行了全面的计算分析.
  • 与当前抑郁症,缓解抑郁症和健康对照组 (有或没有抑郁症家族史) 进行比较.

主要成果:

  • 确定了四个核心计算机制:努力接受偏差,奖励灵敏度和线性/正方位的努力灵敏度.
  • 抑郁群体表现出更低的愿意施加努力.
  • 计算分析表明较低的努力-接受偏差,而不是改变的努力或奖励灵敏度,推动了这一差异.

结论:

  • 提供了对抑郁症中动机功能障碍的计算机制的洞察.
  • 受减少的努力-接受偏差驱动的更低的愿意付出努力,可能是特征性因素.
  • 这种偏见是抑郁症治疗和预防策略的潜在目标.