Graph theoretical analysis of the effect of brain tumors on functional MRI networks
Graph theoretical analysis of the effect of brain tumors on functional MRI networks
批准号:
9170604
负责人:
ANDREI I HOLODNY
金额:
$41.37万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-30 至 2019-06-30
关键词:
AddressAffectAlzheimer&aposs DiseaseAppearanceAreaAttention deficit hyperactivity disorderBig DataBiological Neural NetworksBiological PreservationBrainBrain DiseasesBrain NeoplasmsClinicalCommunitiesComplexComputer softwareComputer-Assisted Image AnalysisDataData AnalysesData ScienceData SetDevelopmentDiagnosisDiseaseFunctional Magnetic Resonance ImagingGoalsGrantGraphGrowthHealthHumanInfluentialsLanguageLeadLocationMapsMeasuresMethodsMoronesMotorNatureNecrosisNervous System PhysiologyNeurosciencesNeurosurgeonOnline SystemsOperative Surgical ProceduresOutputPaperPathway AnalysisPatientsPhysicsPublishingResearch PersonnelResource SharingRestSoftware ToolsTestingTheoretical modelTraumatic Brain InjuryTrustabstractingbasebrain disorder therapygraph theoryimprovedinterestnovelresponsetheoriestooltreatment strategytumorusabilityweb site
中文摘要
项目摘要/摘要:
这项资助广泛而长期的目标是提出一个图论框架来识别核心节点
在大脑网络网络中开发一种软件工具,使来自广泛的最终用户
神经科学社区,识别和分析各种疾病中大脑中最有影响力的节点
各州。具体目标#1:开发网络(非)图理论工具来确定“核心节点”
对于网络漏洞,可以作为分析大脑紊乱的工具。该项目将
将理论模型从单个网络提升到多个网络,并将在此基础上创建工具
该理论可供其他神经科学研究人员和临床医生使用。具体目标2:使用图表
对脑肿瘤患者如何在某些情况下保留功能的理论非分析
例如,由于可塑性和功能网络的重组。这笔赠款将针对一个中央
神经科学中的问题:可塑性如何使大脑在受到侮辱后恢复功能:具体地说,是如何恢复的
神经网络的扰动(脑部肿瘤的生长)影响大脑的稳定性
网络避免灾难性崩溃的能力(大脑如何调整和继续运作
尽管存在脑瘤)。假设1:肿瘤累及核心非结节
坏死或Gd增强导致功能缺陷,而FLAIR累及核心结节
异常导致皮质重组和功能保留。假设2:患者患有
保留语言/运动功能将有与患者显著不同的连接图
随着神经功能和正常对照的丧失,包括核心节点的发育,这是
理论上代表大脑皮层的重组。假设3:非分析方法将能够更好地
与其他分析方法相比,区分神经功能的丧失。具体目标3(资源共享
计划):作为这笔赠款的结果而开发的软件和工具将通过神经科学进行可用性优化
面向更大科学社区中的非营利性用户的临床医生和研究人员。健康相关性和长期性
学期目标:本研究的结果应有助于改善脑肿瘤手术的计划。一次
完成后,我们相信这个项目开发的工具将能够被更大的神经科学使用
社区研究、诊断和制定其他被认为是由脑部疾病引起的大脑疾病的治疗策略
大脑连接中断(如阿尔茨海默病、多动症、中风或创伤性脑损伤)。这个
组织理论和对干扰的反应的发展和测试(在临床情况下)
大脑网络的理论应该导致关于网络组织的一般原理的推论适用
到神经科学以外的领域。
英文摘要
Project Summary/Abstract:
The broad, long-term objective of this grant is to advance a graph theoretical framework to identify core-nodes
in a Brain Network of Networks to develop a software tool that will allow end-users from the broad
neuroscience community to identify and analyze the most influential nodes in the brain in various disease
states. Specific Aim #1: Develop Network of Networks (NoN) graph theoretical tools to identify “core nodes”
for network vulnerability, which can be used as a tool to analyze disorders of the brain. The project will
advance the theoretical models from a single network to multiple networks and will create a tool based on this
theory to be used by other neuroscience researchers and clinicians. Specific Aim #2: Use the graph
theoretical NoN analysis to understanding how patients with brain tumors are able to retain function in certain
instances due to plasticity and the reorganization of functional networks. This grant will address a central
problem in neuroscience: how plasticity allows the brain to recover function after an insult: specifically, how
perturbations of the neural network (the growth of a tumor in the brain) affects the stability of the brain NoN and
the ability of the network to avoid catastrophic collapse (how the brain adjusts and continues to function
notwithstanding the presence of a brain tumor). Hypothesis 1: Involvement of core NoN nodes by tumor
necrosis or Gd-enhancement leads to functional deficits, whereas involvement of core nodes by FLAIR
abnormality leads to cortical reorganization and preservation of function. Hypothesis 2: Patients with
preservation of language/motor function will have connectivity maps that are significantly different from patients
with loss of neurological function and normal controls, including the development of core nodes, which is
theorized to represent cortical reorganization. Hypothesis 3: The NoN method of analysis will be better able to
discriminate loss of neurological function than other methods of analysis. Specific Aim #3 (Resource sharing
plan): The software and tools developed as a result of this grant will be optimized for usability by neuroscience
clinicians and researchers for non-profit users in the larger scientific community. Health relatedness and long
term goals: The results of the present study should lead to improved planning of brain tumor surgery. Once
completed, we trust that the tools developed by this project will be able to be used by the larger neuroscience
community to study, diagnose and develop treatment strategies for other brain disorders thought to be due to
disruptions of brain connectivity (e.g. Alzheimer's disease, ADHD, stokes or traumatic brain injury). The
development and testing (in a clinical situation) of the theories of organization and responses to perturbations
of brain networks should lead to the inference of general principles regarding network organization applicable
to areas outside of the neurosciences.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters
-
批准号:9381979
-
项目类别:
-
资助金额:$15.22万
-
财政年份:2017
-
负责人:ANDREI I HOLODNY
-
依托单位:
Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters
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批准号:9757731
-
项目类别:
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资助金额:$13.76万
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财政年份:2017
-
负责人:ANDREI I HOLODNY
-
依托单位:
Identification of Essential Areas of the Brain in Pre-Operative Brain Tumor Patients Using BOLD fMRI and Independent Physiological Parameters
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批准号:9546696
-
项目类别:
-
资助金额:$13.74万
-
财政年份:2017
-
负责人:ANDREI I HOLODNY
-
依托单位:
Graph theoretical analysis of the effect of brain tumors on functional MRI networks
-
批准号:9535314
-
项目类别:
-
资助金额:$39.9万
-
财政年份:2016
-
负责人:ANDREI I HOLODNY
-
依托单位:
海外基金