Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &

神经精神疾病 (MIND) 的多模态成像：机制

• 批准号: 9276010
• 负责人: VINCE D CALHOUN
• 金额: $ 236.93万
• 依托单位: THE MIND RESEARCH NETWORK
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-08 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9276010
• 关键词: Aftercare; Algorithmic Analysis; Auditory Hallucination; Biological Markers; Biometry; Bipolar Disorder; Blood; Brain; Brain imaging; Categories; Centers of Research Excellence; Clinical; Clinical Research; Clinical assessments; Collaborations; Communication; Communities; Computer software; Data; Data Analyses; Data Quality; Development; Devices; Diagnostic; Diffusion; Dimensions; Disease; Electroconvulsive Therapy; Electroencephalography; Emotions; Ensure; Equilibrium; Equipment; Evaluation; Evolution; Excision; Face; Fiber; Functional Magnetic Resonance Imaging; Funding; Future; Genetic; Goals; Growth; Hallucinations; Human Resources; Image; Image Analysis; Impaired cognition; Individual; Institution; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Magnetoencephalography; Maintenance; Major Depressive Disorder; Maps; Measurement; Measures; Mentors; Methods; Mind-Body Method; Monitor; Mood Disorders; Morphologic artifacts; Multimodal Imaging; Myelin; Neurons; New Mexico; Noise; Patients; Phase; Physiologic Monitoring; Physiological; Pilot Projects; Positioning Attribute; Principal Investigator; Program Development; Protocols documentation; Psychotic Disorders; Relapse; Research Personnel; Resolution; Resources; Role; Sampling; Schizophrenia; Series; Site; Stimulus; Structure; System; Teacher Professional Development; Techniques; Training; Water; Work; base; cognitive function; data acquisition; density; experimental study; gamma-Aminobutyric Acid; improved; innovation; interest; investigator training; lens; meetings; metabolic profile; method development; multimodality; neurochemistry; neuroimaging; neuroinformatics; neuromechanism; neurophysiology; neuropsychiatric disorder; neuropsychiatry; novel; outcome prediction; programs; protocol development; public health relevance; quality assurance; radiofrequency; rapid growth; response; social cognition; success; technology development; temporal measurement; tool; treatment response; white matter

DESCRIPTION (provided by applicant): This Phase II COBRE project is a natural extension of our Phase I COBRE on multimodal neuroimaging in schizophrenia. In the next evolution we will build on our success in Phase I to include a wider range of disease categories making the overarching theme of the Phase II COBRE the use of multimodal neuroimaging to better understand the neural mechanisms of psychosis and mood disorders. The Mind Research Network (MRN) houses an Elekta MEG System, a high density EEG lab, and a 3T Siemens Trio MRl scanner. Additional resources include a centralized neuroinformatics system, a strong IT management plan, and state-of-the-art image analysis tools. The Phase II COBRE will provide support to five outstanding junior investigators through the assistance of strong senior mentors. The five projects each focus on distinct, but related, aspects of psychosis and mood disorders. Project 1 will utilize advanced data fusion methods to evaluate the ability of multimodal brain imaging data to differentiate patient groups and to push beyond discrete diagnostic categories by identifying individuals in intermediate positions on the continuum. Project 2 is an expansion of the pilot genetic program from the Phase I to evaluate the shared and unique aspects of genetic influence on brain structural networks using advanced multivariate methods. Project 3 will focus on the lens of social cognition and evaluate functional networks in patients while perceiving facial and vocal emotions. The ability of both structural and functional networks to differentiate groups and predict outcomes will be evaluated. Project 4 will focus on auditory hallucinations using MEG and fMRI. Evaluation of the ability to predict hallucinations from the imaging data as well as the impact of transcranial direct current stimulation (tDCS) on the identified brain networks will be investigated. And finally, Project 5 will use a longitudinal desin to study brain networks related to major depression and relapse after treatment with electro-convulsive therapy (ECT). We will continue with the cores established during the Phase I project including administration, clinical assessment, and mentoring (ACAM), multimodal data acquisition (MDA), algorithm and data analysis (ADA), and biostatistics and neuro-informatics (BNI). These cores have begun to serve MRN and the greater community, as well as other institutions including extension collaborations with IDeA funded projects in New Mexico and other states. A highly successful pilot project program will be continued. We believe this Phase II COBRE is extremely well-positioned to establish New Mexico as one of the premier brain imaging sites. We include an extensive educational, mentoring, and faculty development program to carefully mentor and establish junior investigators as independently funded investigators, thus fulfilling the ultimate goals of the COBRE program.

描述（由申请人提供）：第二阶段 COBRE 项目是我们第一阶段 COBRE 关于精神分裂症多模式神经影像的自然延伸。在下一步的发展中，我们将在第一阶段的成功基础上纳入更广泛的疾病类别，使第二阶段 COBRE 的总体主题是使用多模式神经影像来更好地了解精神病和情绪障碍的神经机制。心灵研究网络 (MRN) 拥有 Elekta 脑电图系统、高密度脑电图实验室和 3T 西门子 Trio MRl 扫描仪。其他资源包括集中式神经信息学系统、强大的 IT 管理计划和最先进的图像分析工具。第二期 COBRE 将通过强大的高级导师的协助，为五名优秀的初级研究者提供支持。这五个项目各自侧重于精神病和情绪障碍的不同但相关的方面。项目 1 将利用先进的数据融合方法来评估多模态脑成像数据区分患者群体的能力，并通过识别连续体中间位置的个体来超越离散的诊断类别。项目 2 是第一阶段试点遗传计划的扩展，旨在使用先进的多变量方法评估遗传对大脑结构网络影响的共同和独特方面。项目 3 将重点关注社会认知的镜头，并在感知面部和声音情绪的同时评估患者的功能网络。将评估结构和功能网络区分群体和预测结果的能力。项目 4 将重点使用 MEG 和 fMRI 来研究幻听。将研究评估从成像数据预测幻觉的能力以及经颅直流电刺激（tDCS）对已识别的大脑网络的影响。最后，项目 5 将使用纵向设计来研究与重度抑郁症和电休克疗法 (ECT) 治疗后复发相关的大脑网络。我们将继续第一阶段项目期间建立的核心，包括管理、临床评估和指导（ACAM）、多模式数据采集（MDA）、算法和数据分析（ADA）以及生物统计学和神经信息学（BNI）。这些核心已开始为 MRN 和更大的社区以及其他机构服务，包括与新墨西哥州和其他州的 IDeA 资助项目的扩展合作。将继续开展非常成功的试点项目计划。我们相信，第二阶段 COBRE 处于非常有利的位置，可以将新墨西哥州打造成首要的脑成像地点之一。我们包括广泛的教育、指导和教师发展计划，以仔细指导初级研究人员并将其培养为独立资助的研究人员，从而实现 COBRE 计划的最终目标。

项目成果

Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia.

大脑分型增强了精神分裂症的神经解剖学区分。

• 发表时间: 2018-08-20
• 影响因子: 6.6
• 作者: Dwyer, Dominic B;Cabral, Carlos;Kambeitz;Sanfelici, Rachele;Kambeitz, Joseph;Calhoun, Vince;Falkai, Peter;Pantelis, Christos;Meisenzahl, Eva;Koutsouleris, Nikolaos
• 通讯作者: Koutsouleris, Nikolaos

Aberrant brain functional and structural developments in MECP2 duplication rats.

MECP2 重复大鼠脑功能和结构发育异常。

• 发表时间: 2022-10-15
• 影响因子: 6.1
• 作者: Xu, Ming;Qi, Shile;Calhoun, Vince;Dai, Jiankun;Yu, Bin;Zhang, Kaiwei;Pei, Mengchao;Li, Chenjian;Wei, Yusheng;Jiang, Rongtao;Zhi, Dongmei;Huang, Zhimin;Qiu, Zilong;Liang, Zhifeng;Sui, Jing
• 通讯作者: Sui, Jing

Voxel-based, brain-wide association study of aberrant functional connectivity in schizophrenia implicates thalamocortical circuitry.

基于体素的全脑关联研究精神分裂症的异常功能连接涉及丘脑皮质回路。

• 发表时间: 2015
• 影响因子: 5.4
• 作者: Cheng, Wei;Palaniyappan, Lena;Li, Mingli;Kendrick, Keith M;Zhang, Jie;Luo, Qiang;Liu, Zening;Yu, Rongjun;Deng, Wei;Wang, Qiang;Ma, Xiaohong;Guo, Wanjun;Francis, Susan;Liddle, Peter;Mayer, Andrew R;Schumann, Gunter;Li, Tao;Feng, Jianfeng
• 通讯作者: Feng, Jianfeng

Objective markers for psychiatric decision-making: How to move imaging into clinical practice.

精神病学决策的客观标记：如何将影像学应用到临床实践。

• 发表时间: 2020
• 作者: Wilcox, Claire E;Brett, Megan E;Calhoun, Vince D
• 通讯作者: Calhoun, Vince D

Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

考虑症状异质性可以改善电休克治疗后抗抑郁反应的神经影像模型。

• 发表时间: 2021
• 影响因子: 4.8
• 作者: Wade, Benjamin S C;Hellemann, Gerhard;Espinoza, Randall T;Woods, Roger P;Joshi, Shantanu H;Redlich, Ronny;Dannlowski, Udo;Jorgensen, Anders;Abbott, Christopher C;Oltedal, Leif;Narr, Katherine L
• 通讯作者: Narr, Katherine L