Rescuing the ruminating brain: Identifying biomarkers of rumination and mindfulness through concurrent EEG and fMRI studies of schizophrenia and depression

拯救沉思的大脑:通过精神分裂症和抑郁症的同步脑电图和功能磁共振成像研究来识别沉思和正念的生物标志物

基本信息

  • 批准号:
    10291800
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-07-01 至 2023-09-30
  • 项目状态:
    已结题

项目摘要

Is “the idle mind the devil’s playground?” It depends on where the wandering mind goes. If it is busy reflecting on recent activity, consolidating recent material into long term memories, and envisioning the future, then these thought patterns may be highly adaptive, allowing us to learn from the past and plan for the future. But when the mind turns to the dark side and rumination takes over, these thought patterns are maladaptive. Rumination involves recursive negative thinking focused on causes and consequences rather than solutions. It cuts across diagnostic boundaries: it is both a cause and consequence of major depressive disorder (MDD) and is related to hallucinations and delusions in schizophrenia (SZ). It affects cognitive and emotional responses, yet it can be treated with mindfulness-based therapies. Mindfulness-meditation is a type of behavioral therapy that focuses on cultivating present focused attention, is a stress-reduction intervention that targets rumination, and improves many medical and psychiatric conditions: Trait mindfulness is associated with less distress from auditory hallucinations and fewer residual depressive symptoms. It is the practice of attending to present moment experiences and allowing emotions and thoughts to come and go without judgment, thereby avoiding a downward spiral into rumination. Compared to simple mind wandering, a brief mindfulness induction recruits an attention network including parietal and . prefrontal structures while mind wandering only recruits the default mode network (DMN) Based on data from the last funding period, we know that activation of the DMN affects both basic sensory and semantic processing in SZ. We propose to extend this by focusing specifically on rumination and adding patients with depression. We ask how rumination affects basic sensory, cognitive and emotional responses, and if mindfulness can rescue these functions, across diagnoses and the wellness spectrum. We will acquire simultaneous EEG and fMRI data from veterans with depression and schizophrenia and mentally healthy veterans to assess early sensory responses, context updating, and responses to emotional images. Understanding how rumination affects engagement with the environment is the first step towards assessing its far-reaching cognitive and emotional costs, which cut across traditional diagnostic boundaries. Understanding how mindfulness restores information processing will increase our understanding of how, and for whom, it works. We predict rumination inductions will prevent the brain from fully processing a spectrum of external events, and mindfulness inductions will restore these abilities. We predict trait rumination and mindfulness will modulate the effects in all groups, with exaggerated effects in those with depression or schizophrenia. The outcome variables will be EEG-based event related potentials (ERPs) and fMRI, and their integration. Symptom severity, trait rumination, and trait mindfulness will be considered in the analyses. Aim 1: Simple effects of rumination inductions on fMRI connectivity. We will compare the effects of rumination and mindfulness inductions on the connectivity between DMN and rumination-sensitive brain regions. Compared to mindfulness inductions, we predict rumination will increase this connectivity, with greater effects in depressed and schizophrenia patients than in healthy controls. Aim 2: Carry-over effects of mindfulness inductions on ERPs and fMRI and their integration. We predict the effects of 30-second mindfulness inductions will persist into the subsequent visual oddball task, thereby augmenting sensory, attention, and emotional ERP components and fMRI activation in sensory, cognitive and emotional networks, compared to rumination inductions. We will explore the covariance between fMRI and ERP data fusion methods as we have done previously. Aim 3: Effects of trait rumination and mindfulness. We will assess the relationship between neural data and trait rumination, mindfulness, and symptom severity in all groups.
懒惰的头脑是魔鬼的游乐场吗?这取决于流浪的心灵去了哪里。如果它很忙

项目成果

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Judith M Ford其他文献

Judith M Ford的其他文献

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{{ truncateString('Judith M Ford', 18)}}的其他基金

CSRD Research Career Scientist Award Application
CSRD研究职业科学家奖申请
  • 批准号:
    10657600
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Secondary data analysis of auditory steady-state response to explore the RDoC cognitive system constructs across the psychosis spectrum
听觉稳态反应的二次数据分析,以探索整个精神病谱系的 RDoC 认知系统结构
  • 批准号:
    10333412
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Can neural network instability in schizophrenia be improved with a very low carbohydrate ketogenic diet?
精神分裂症的神经网络不稳定可以通过极低碳水化合物的生酮饮食来改善吗?
  • 批准号:
    10689440
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Can neural network instability in schizophrenia be improved with a very low carbohydrate ketogenic diet?
精神分裂症的神经网络不稳定可以通过极低碳水化合物的生酮饮食来改善吗?
  • 批准号:
    10517239
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Can neural network instability in schizophrenia be improved with a very low carbohydrate ketogenic diet?
精神分裂症的神经网络不稳定可以通过极低碳水化合物的生酮饮食来改善吗?
  • 批准号:
    10288095
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Can neural network instability in schizophrenia be improved with a very low carbohydrate ketogenic diet?
精神分裂症的神经网络不稳定可以通过极低碳水化合物的生酮饮食来改善吗?
  • 批准号:
    10471918
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Neural and cognitive consequences of COVID-19 survival.
COVID-19 生存对神经和认知的影响。
  • 批准号:
    10595562
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Neural and cognitive consequences of COVID-19 survival.
COVID-19 生存对神经和认知的影响。
  • 批准号:
    10368420
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Secondary data analysis of existing data to explore the RDoC construct of agency across the psychosis spectrum using fMRI and EEG
使用 fMRI 和 EEG 对现有数据进行二次数据分析,探索整个精神病谱系的 RDoC 代理结构
  • 批准号:
    9884515
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Predictive Coding Abnormalities in Psychosis: EEG and fMRI
精神病中的预测编码异常:脑电图和功能磁共振成像
  • 批准号:
    9482228
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:

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