Deficient Belief Updating as a Convergent Computational Mechanism of Psychosis
信念更新不足作为精神病的收敛计算机制
基本信息
- 批准号:9766401
- 负责人:
- 金额:$ 74.51万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAuditory areaBehaviorBehavioralBeliefBiologicalBrainClinicalCognitiveComputer SimulationConflict (Psychology)Corpus striatum structureDataDelusionsDissociationDopamineFeedbackFoundationsFunctional Magnetic Resonance ImagingFunctional disorderFutureHallucinationsHealth BenefitHearingHumanImageImaging TechniquesImpairmentIndividualKnowledgeLeadLinkMagnetic Resonance ImagingMeasuresMediatingMedicalMedical Care CostsMedicineMental disordersMethodologyMethodsMidbrain structureModelingNatureNeurobiologyNeurocognitiveNeurosciencesParietalParietal LobePathologicPathway interactionsPatientsPatternPerceptionPrefrontal CortexProcessPsychiatryPsychotic DisordersPublic HealthRestSchizophreniaSensorySeveritiesSignal TransductionStigmatizationStimulusSubstantia nigra structureSymptomsSyndromeSystemTestingUpdateVoiceWorkbasecommon symptomcomputational neuroscienceconvictdesignexperiencehigh resolution imagingideationindexingindividualized medicineneuroimagingneuromelaninneuroregulationnigrostriatal dopaminergic pathwaynigrostriatal pathwaynovelpars compactapre-clinicalpredictive modelingpsychotic symptomsrelating to nervous systemsensory cortextheoriestool
项目摘要
The psychotic syndrome of schizophrenia, comprising hallucinations and delusions, remains one of the most
devastating and costly medical conditions in the US and worldwide. Despite progress in the understanding of its
neurobiology, a unifying mechanism remains elusive. Elucidating such mechanism would be a major advance in
medicine, as it would provide a scientific explanation to symptoms that have long been considered synonymous with
irrationality. This would contribute to de-stigmatization of mental illness. It would also potentially lead to important
public health benefits by identifying novel targets that could enable new treatments for a substantial proportion of
patients (~1/3) who do not respond to or tolerate current treatments. Previous work has separately studied the
substrates of hallucinations (false percepts without corresponding stimuli) and of delusions (false ideas that are
maintained with high conviction despite contradictory evidence). However, recent theories of the brain suggest that
perception and ideation are part of a unitary process, whereby the brain generates and updates internal predictive
models of the external world, that can explain both our idiosyncratic perceptual experiences and how we reach certain
conclusions or ideas based on these experiences. Extensions of these ‘Bayesian’ theories have been proposed to
explain pathological abnormalities in perception (e.g., hallucinations) and ideation (e.g., delusions) in psychosis as
deriving from a common deficit. We suggest that this common deficit is a dopamine-related deficit in updating of
beliefs (defined via computational modeling) given excessive reliance of prior beliefs relative to new sensory evidence.
We posit that this deficit can occur at two different levels of a hierarchy: a lower level (in sensory cortex) abnormalities
in which would cause hallucinations, and a higher level (higher-order prefrontal and parietal cortices supporting
inference) abnormalities in which would cause delusions. We propose a converging approach to directly test this novel
model it by leveraging cutting-edge tools in computational neuroscience applied to functional neuroimaging (fMRI) and
behavioral tools designed to dissect hierarchical belief updating. Specifically, we hypothesize a behavioral and neural
double dissociation whereby deficits in the former will be specifically associated with severity of hallucinations while
deficits in the latter will be specifically associated with severity of delusions in unmedicated patients with
schizophrenia. By anchoring our model on the well-established dopamine dysfunction in psychosis, we will explain
how increased dopamine in the midbrain (specifically, in the nigrostriatal pathway, here measured via a novel, high-
resolution imaging technique known as neuromelanin-sensitive MRI) alters common neural computations leading to
psychotic symptoms (i.e., how it results in deficient belief updating at low and high levels, leading to hallucinations and
delusions, respectively). Finally, we will define neural targets to set up future work developing novel neuromodulation
approaches aimed at normalizing belief updating deficits downstream from dopamine abnormalities. Thus, we will
establish novel downstream mechanisms of psychosis that can be further dissected in preclinical work and can be
directly targeted in humans depending on individuals’ symptom profiles.
精神分裂症的精神病综合症,包括幻觉和妄想,仍然是最严重的
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Guillermo Horga其他文献
Guillermo Horga的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Guillermo Horga', 18)}}的其他基金
An integrative computational interrogation of circuit dysfunction inschizophrenia via neural timescales
通过神经时间尺度对精神分裂症中的回路功能障碍进行综合计算询问
- 批准号:
10704693 - 财政年份:2022
- 资助金额:
$ 74.51万 - 项目类别:
An integrative computational interrogation of circuit dysfunction inschizophrenia via neural timescales
通过神经时间尺度对精神分裂症中的回路功能障碍进行综合计算询问
- 批准号:
10585148 - 财政年份:2022
- 资助金额:
$ 74.51万 - 项目类别:
Individualized risk prediction in persons at clinical high-risk for psychosis using neuromelanin-sensitive MRI.
使用神经黑色素敏感 MRI 对临床精神病高危人群进行个体化风险预测。
- 批准号:
10166944 - 财政年份:2018
- 资助金额:
$ 74.51万 - 项目类别:
Individualized risk prediction in persons at clinical high-risk for psychosis using neuromelanin-sensitive MRI.
使用神经黑色素敏感 MRI 对临床精神病高危人群进行个体化风险预测。
- 批准号:
10412110 - 财政年份:2018
- 资助金额:
$ 74.51万 - 项目类别:
Deficient Belief Updating as a Convergent Computational Mechanism of Psychosis
信念更新不足作为精神病的收敛计算机制
- 批准号:
10421074 - 财政年份:2018
- 资助金额:
$ 74.51万 - 项目类别:
Neural mechanisms of sensory predictions in schizophrenia with hallucinations
精神分裂症幻觉感觉预测的神经机制
- 批准号:
9262998 - 财政年份:2014
- 资助金额:
$ 74.51万 - 项目类别:
Neural mechanisms of sensory predictions in schizophrenia with hallucinations
精神分裂症幻觉感觉预测的神经机制
- 批准号:
8700122 - 财政年份:2014
- 资助金额:
$ 74.51万 - 项目类别:














{{item.name}}会员




