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:
    10646488
  • 负责人:
  • 金额:
    $ 74.72万
  • 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 2027-06-30
  • 项目状态:
    未结题

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. Identifying the brain regions causing depression symptoms can lead to better treatment targets and therapies. Most neuroimaging studies identify brain regions where activity correlates with depression symptoms but cannot determine whether these regions actually cause symptoms. The goal of this project is to causally link depression symptoms to human neuroanatomy. Lesions and brain stimulation can provide causal links to human neuroanatomy. Because symptoms can come from regions connected to the lesion or stimulation site, we study the connectivity of these sites (not just their location) using brain connectivity data from a large cohort of normal subjects (functional connectivity MRI, n=1000). This allows us to map symptoms caused by lesions or stimulation to brain circuits without connectivity data from the patients themselves. With NIMH support, we found that lesions, transcranial magnetic stimulation (TMS) sites, and deep brain stimulation (DBS) sites that cause a change in depression symptoms are all connected to a common brain circuit across 14 independent datasets (Siddiqi et. al 2021 Nature Human Behaviour). Connectivity to this circuit was a better predictor of antidepressant response to TMS or DBS than connectivity to other candidate regions (e.g., subgenual cingulate). However, this circuit requires validation before it can be translated into a target for clinical trials. Here, we will validate our brain circuit for depression using three independent causal sources of information: lesions (Aim 1), DBS (Aim 2), and TMS (Aim 3). For all aims, we will use our published a priori depression circuit to predict overall depression outcomes. We will also perform exploratory data-driven analyses to test whether different circuits are responsible for different symptoms of depression. In Aim 1, we will prospectively test whether our depression circuit can predict depression scores after stroke. In Aim 2, we will test whether our depression circuit can predict change in depression score after DBS across a wide range of DBS patients with different diagnoses. In Aim 3, we will test whether individualized connectivity to our circuit prospectively predicts change in depression symptoms with TMS. Completion of these Aims will validate our depression circuit across different diagnoses and across three independent causal sources of information, providing much stronger validation than could be achieved with one modality alone. If successful, this study will facilitate future trials directly targeting our brain circuit with therapeutic neuromodulation for depression.
项目概述:利用人脑连通性识别因果神经解剖学

项目成果

期刊论文数量(32)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reply: Heterogeneous neuroimaging findings, damage propagation and connectivity: an integrative view.
答复:异质神经影像学发现、损伤传播和连接:综合观点。
  • DOI:
    10.1093/brain/awz081
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Darby,RRyan;Fox,MichaelD
  • 通讯作者:
    Fox,MichaelD
Network Effects of Brain Lesions Causing Central Poststroke Pain.
  • DOI:
    10.1002/ana.26468
  • 发表时间:
    2022-11
  • 期刊:
  • 影响因子:
    11.2
  • 作者:
    Kim, Na Young;Taylor, Joseph J.;Kim, Yong Wook;Borsook, David;Joutsa, Juho;Li, Jing;Quesada, Charles;Peyron, Roland;Fox, Michael D.
  • 通讯作者:
    Fox, Michael D.
Mapping Lesion-Related Epilepsy to a Human Brain Network.
  • DOI:
    10.1001/jamaneurol.2023.1988
  • 发表时间:
    2023-09-01
  • 期刊:
  • 影响因子:
    29
  • 作者:
  • 通讯作者:
Lead-OR: A multimodal platform for deep brain stimulation surgery.
  • DOI:
    10.7554/elife.72929
  • 发表时间:
    2022-05-20
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    Oxenford, Simon;Roediger, Jan;Neudorfer, Clemens;Milosevic, Luka;Guttler, Christopher;Spindler, Philipp;Vajkoczy, Peter;Neumann, Wolf-Julian;Kuehn, Andrea;Horn, Andreas
  • 通讯作者:
    Horn, Andreas
A Human Depression Circuit Derived From Focal Brain Lesions.
  • DOI:
    10.1016/j.biopsych.2019.07.023
  • 发表时间:
    2019-11-15
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Padmanabhan JL;Cooke D;Joutsa J;Siddiqi SH;Ferguson M;Darby RR;Soussand L;Horn A;Kim NY;Voss JL;Naidech AM;Brodtmann A;Egorova N;Gozzi S;Phan TG;Corbetta M;Grafman J;Fox MD
  • 通讯作者:
    Fox MD
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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:
    $ 74.72万
  • 项目类别:
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
  • 批准号:
    10634692
  • 财政年份:
    2022
  • 资助金额:
    $ 74.72万
  • 项目类别:
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
  • 批准号:
    10501784
  • 财政年份:
    2022
  • 资助金额:
    $ 74.72万
  • 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:
    $ 74.72万
  • 项目类别:
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
  • 批准号:
    10369674
  • 财政年份:
    2021
  • 资助金额:
    $ 74.72万
  • 项目类别:
Transdiagnostic memory, mood and motor circuits in Alzheimer's and neurodegenerative disease
阿尔茨海默病和神经退行性疾病的跨诊断记忆、情绪和运动回路
  • 批准号:
    10358675
  • 财政年份:
    2021
  • 资助金额:
    $ 74.72万
  • 项目类别:
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
  • 批准号:
    10195920
  • 财政年份:
    2021
  • 资助金额:
    $ 74.72万
  • 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:
    10242694
  • 财政年份:
    2017
  • 资助金额:
    $ 74.72万
  • 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:
    $ 74.72万
  • 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:
    $ 74.72万
  • 项目类别:
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