Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptoms
利用人脑连接来识别抑郁症状的因果神经解剖学基础
基本信息
- 批准号:10242694
- 负责人:
- 金额:$ 66.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-19 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:AgeAnimal ModelAntidepressive AgentsAreaBiological MarkersBlood VesselsBrainBrain regionDataData SetDatabasesDeep Brain StimulationDiffusionDistantDorsalFutureGenderGoalsGrantHumanKnowledgeLateralLeadLeftLesionLinkLocalized LesionLocationMagnetic Resonance ImagingMapsMeasuresMediatingMental DepressionModalityNeuroanatomyPatient imagingPatientsPenetrating Head InjuriesPharmaceutical PreparationsPlayPrefrontal CortexRefractoryRestRoleSeveritiesSiteSourceStrokeSymptomsTechniquesTestingTherapeutic TrialsTimeTranscranial magnetic stimulationUnited States National Institutes of Healthbasebiomarker identificationconnectomedepressive symptomsdisabilityinsightneuroimagingneuropsychiatric symptomnoninvasive brain stimulationphysically handicappedpost strokeprospectiveresponsesymptomatic improvementtherapeutic targettractography
项目摘要
PROJECT SUMMARY: Using human brain connectivity to identify the causal neuroanatomical
substrate of depression symptoms
Depression is the leading cause of disability worldwide and new treatments are needed. Identifying the brain
regions causing depression symptoms can lead to treatment targets and better therapies. However, identifying
these regions has been difficult. Neuroimaging of patients identifies brain areas where activity correlates with
depression symptoms, but can’t determine whether these regions actual cause symptoms. Animal models
allow for causal manipulations, but only approximate human symptoms. The goal of this grant is to link
depression symptoms to human neuroanatomy in a causal way. Here I focus on two sources of information
that can provide theses causal neuroanatomical links. The first is patients with focal brain lesions causing
depression symptoms. The second is patients with depression who have received focal brain stimulation for
symptomatic relief. In both cases, there is a causal link between symptoms and the site of the lesion or
stimulation. However, this causal link can be indirect. Lesion-induced symptoms can come from brain regions
connected to the lesion location rather than the lesion location itself. Similarly, benefits of brain stimulation can
come from modulation of distant regions connected to the site of stimulation. As such, utilizing these causal
sources of information requires a map of human brain connectivity. Due to NIH initiatives like the human
connectome project and high powered MRI scanners, such maps are now available. I’ve recently developed a
technique that uses these brain connectivity maps to better localize lesion-induced symptoms and identify
regions mediating response to focal brain stimulation. Because this technique utilizes existing connectivity
data, it does not require connectivity imaging of the patients themselves. As such, the technique can be
applied to any lesion or stimulation dataset and has already lent insight into a variety of neuropsychiatric
symptoms. Here, I leverage this technique to identify brain regions causing depression symptoms (Aim 1) and
brain regions mediating anti-depressant response to focal brain stimulation (Aim 2). Successful completion of
these aims will lend insight into the causal neuroanatomical substrate of depression symptoms. Such
knowledge will facilitate identification of biomarkers for evaluating future therapies, optimal therapeutic targets
for invasive and noninvasive brain stimulation, and individualized targets based on patient-specific symptom
profiles. These treatment targets can then be empirically tested in future therapeutic trials.
项目总结:使用人脑连接来识别因果神经解剖学
抑郁症状基质
抑郁症是全球残疾的主要原因,需要新的治疗方法。识别大脑
导致抑郁症状的区域可以导致治疗目标和更好的治疗。然而,识别
这些地区是困难的。患者的神经成像确定了与活动相关的大脑区域,
抑郁症的症状,但不能确定这些区域是否真正导致症状。动物模型
允许因果操纵,但只能近似人类症状。该基金的目标是将
抑郁症症状与人类神经解剖学的因果关系。在这里,我重点介绍两个信息来源
可以提供这些神经解剖学上的因果联系。第一种是脑局灶性病变的患者,
抑郁症症状第二种是接受了局灶性脑刺激的抑郁症患者,
症状缓解。在这两种情况下,症状和病变部位之间存在因果关系,
刺激.然而,这种因果关系可能是间接的。病变引起的症状可能来自大脑区域
连接到病变位置而不是病变位置本身。同样,大脑刺激的好处可以
来自与刺激部位相连的远端区域的调制。因此,利用这些因果关系
信息来源需要一张人类大脑连接图。由于美国国立卫生研究院的倡议,如人类
连接组计划和高功率MRI扫描仪,这样的地图现在是可用的。我最近开发了一种
一种使用这些大脑连接图来更好地定位病变引起的症状并识别
介导对局部脑刺激的反应的区域。因为这种技术利用了现有的连接
数据,它不需要患者本身的连接成像。因此,该技术可以是
适用于任何病变或刺激数据集,并已深入了解各种神经精神疾病
症状在这里,我利用这种技术来识别导致抑郁症状的大脑区域(目标1),
介导对局灶性脑刺激的抗癫痫反应的脑区域(Aim 2)。成功完成
这些目标将有助于深入了解抑郁症症状的神经解剖学基础。等
知识将有助于鉴定生物标志物,用于评估未来的治疗,最佳的治疗靶点,
用于侵入性和非侵入性脑刺激,以及基于患者特定症状的个性化靶点
数据区.这些治疗靶点可以在未来的治疗试验中进行经验性测试。
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)
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MICHAEL D FOX其他文献
MICHAEL D FOX的其他文献
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{{ truncateString('MICHAEL D FOX', 18)}}的其他基金
Identifying neuromodulation targets for pain in the human brain
识别人脑疼痛的神经调节目标
- 批准号:
10589120 - 财政年份:2022
- 资助金额:
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Using Brain Lesions and Deep Brain Stimulation to Identify an Epilepsy Circuit
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Using brain lesions and deep brain stimulation to identify an epilepsy circuit
利用脑损伤和深部脑刺激来识别癫痫回路
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10501784 - 财政年份:2022
- 资助金额:
$ 66.19万 - 项目类别:
Identifying neuromodulation targets for pain in the human brain
识别人脑疼痛的神经调节目标
- 批准号:
10450987 - 财政年份:2022
- 资助金额:
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Targeted modulation of symptom-specific brain circuits with transcranial magnetic stimulation
通过颅磁刺激有针对性地调节症状特异性脑回路
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10369674 - 财政年份:2021
- 资助金额:
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Transdiagnostic memory, mood and motor circuits in Alzheimer's and neurodegenerative disease
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- 批准号:
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Targeted modulation of symptom-specific brain circuits with transcranial magnetic stimulation
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- 批准号:
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- 资助金额:
$ 66.19万 - 项目类别:
Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptoms
利用人脑连接来识别抑郁症状的因果神经解剖学基础
- 批准号:
10646488 - 财政年份:2017
- 资助金额:
$ 66.19万 - 项目类别:
Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptoms
利用人脑连接来识别抑郁症状的因果神经解剖学基础
- 批准号:
9766881 - 财政年份:2017
- 资助金额:
$ 66.19万 - 项目类别:
Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptoms
利用人脑连接来识别抑郁症状的因果神经解剖学基础
- 批准号:
10290232 - 财政年份:2017
- 资助金额:
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