Wavelets, fractals and fMRI of brain adaptivity

大脑适应性的小波、分形和功能磁共振成像

• 批准号: 7216739
• 负责人: EDWARD Edward BULLMORE
• 金额: $ 25.6万
• 依托单位: UNIVERSITY OF CAMBRIDGE
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-04-01 至 2010-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7216739
• 关键词: 20 year old; 3-Dimensional; Address; Advocacy; Age; Aging; Agonist; Algorithms; Animal Model; Behavioral; Biological; Brain; Brain imaging; Characteristics; Cholinergic Agents; Cognitive; Complex; Condition; Data; Data Analyses; Data Set; Development; Dimensions; Disease regression; Dopaminergic Agents; Drug Delivery Systems; Elderly; Female; Flumazenil; Four-dimensional; Fractals; Functional Magnetic Resonance Imaging; Human; Individual; Informatics; Learning; Least-Squares Analysis; Limes; Link; Magnetic Resonance Imaging; Measures; Memory; Methods; Modeling; Neurocognitive; Neurosciences; Neurotransmitters; Noise; Numbers; Participant; Pattern; Pharmaceutical Preparations; Physiological; Placebo Control; Placebos; Process; Property; Psychotropic Drugs; Randomized; Recruitment Activity; Resolution; Rest; Scanning; Scheme; Scopolamine; Series; Signal Transduction; Source; Standards of Weights and Measures; Statistical Methods; Structure; Sulpiride; System; Task Performances; Testing; Time; Time Series Analysis; Variant; Work; age effect; age group; age related; aged; base; cholinergic; data acquisition; density; design; expectation; healthy volunteer; human subject; image registration; improved; innovation; interest; male; neuroinformatics; normal aging; novel; programs; research study; spatiotemporal; tool; volunteer

DESCRIPTION (provided by applicant): This is an integrated neuroinformatics project with two long-term objectives: i) to develop and rigorously to evaluate innovative methods for analysis of functional magnetic resonance imaging (fMRI) experiments using wavelets and data resampling as key mathematical tools; ii) to enhance characterization of brain adaptivity to task repetition and variable task difficulty and to test explicit hypotheses concerning effects of normal aging and transmitter-specific drug treatments on brain adaptivity. The key informatics objectives are i) to refine and apply a new best linear unbiased estimator of regression model parameters in the context of long-memory noise (wavelet-generalized least squares); ii) to consolidate and evolve methods for multiresolutional analysis of spatially extended 2- or 3-dimensional processes using wavelets and data resampling; iii) to implement multiscale image registration in the wavelet domain as a framework in which to assess the impact of variably precise image registration on mixed effects modeling of grouped and factorially designed fMRI datasets; iv) to explore 4-dimensional wavelet shrinkage as a novel adjunct or alternative to our ongoing interest in multivariate methods of connectivity analysis; and v) to develop and cross-validate estimators of spectral exponents, fractal dimensions and other complexity measures in fMRI. These informatics objectives are critical to a comprehensive and powerful analysis of drug and aging effects on brain adaptivity and fMRI noise - which are the focus of three key neuroscientific experiments: i) we will test the assumption that fMRI noise has l/f-like spectral properties, and investigate instrumental and physiological sources for 1/f noise, using phantom and biological "resting" fMRI data; ii) we will develop and validate a set of cognitive activation paradigms focused on adaptivity to repetition and load in several domains of memory and learning; and iii) we will conduct a major (N=48) factorially designed pharmacological MRI study in young (aged 20-30 years) and older (aged 60-70 years) healthy participants each scanned on three occasions in a randomized, placebo-controlled experiment. These data will allow us to test hypotheses concerning the main effects of agonist and antagonist drugs targeted on dopaminergic, cholinergic and GABAergic transmitter systems and thereby to elucidate mechanisms for large-scale brain adaptivity. We will also test hypotheses concerning the main effect of aging and the interactive effect of drugs and age on brain adaptivity.

描述（由申请人提供）：这是一个综合神经信息学项目，有两个长期目标：i）开发并严格评估使用小波和数据恢复作为关键数学工具的功能磁共振成像（fMRI）实验分析的创新方法; ii）第二阶段增强大脑对任务重复和可变任务难度的适应性的表征，并测试有关任务重复和可变任务难度的影响的明确假设正常老化和特定于发射器的药物治疗对大脑的适应性。主要的信息学目标是i）在长记忆噪声背景下改进和应用回归模型参数的新的最佳线性无偏估计（小波广义最小二乘）; ii）巩固和发展的空间扩展的2-或3-维过程的多分辨率分析方法，使用小波和数据恢复; iii）在小波域中实现多尺度图像配准，作为评估非精确图像配准对分组和工厂设计的fMRI数据集的混合效应建模的影响的框架; iv）探索4维小波收缩作为我们对连通性分析的多变量方法的持续兴趣的一种新的辅助或替代;以及v）开发和交叉验证fMRI中谱指数、分形维数和其他复杂性度量的估计。这些信息学目标对于药物和衰老对大脑适应性和fMRI噪声的影响的全面而有力的分析至关重要-这是三个关键神经科学实验的焦点：i）我们将测试fMRI噪声具有l/f样光谱特性的假设，并使用体模和生物“静息”fMRI数据研究1/f噪声的仪器和生理来源; ii）我们将开发和验证一套认知激活范式，重点是在记忆和学习的几个领域对重复和负荷的适应性;和iii）我们将在年轻人中进行一项主要（N=48）工厂设计的药理学MRI研究在随机、安慰剂对照实验中，年龄在20-30岁之间的健康参与者和年龄在60-70岁之间的健康参与者各自扫描三次。这些数据将使我们能够测试有关的主要影响的激动剂和拮抗剂药物靶向多巴胺能，胆碱能和GABA能递质系统的假设，从而阐明大规模的大脑适应性的机制。我们还将测试有关衰老的主要影响以及药物和年龄对大脑适应性的交互作用的假设。

项目成果

Endogenous multifractal brain dynamics are modulated by age, cholinergic blockade and cognitive performance.

• DOI: 10.1016/j.jneumeth.2008.06.037
• 发表时间: 2008-09-30
• 期刊: JOURNAL OF NEUROSCIENCE METHODS
• 影响因子: 3
• 作者: Suckling, John;Wink, Alle Meije;Bernard, Frederic A.;Barnesa, Anna;Bullmore, Edward T.
• 通讯作者: Bullmore, Edward T.

Neural responses to happy facial expressions in major depression following antidepressant treatment.

• DOI: 10.1176/ajp.2007.164.4.599
• 发表时间: 2007-04
• 期刊: The American journal of psychiatry
• 作者: C. Fu;Steven C. R. Williams;M. Brammer;J. Suckling;Jieun Kim;A. Cleare;Nicholas D. Walsh;M. Mitterschif

Human brain networks in health and disease.

• DOI: 10.1097/wco.0b013e32832d93dd
• 发表时间: 2009-08
• 期刊: Current opinion in neurology
• 影响因子: 4.8
• 作者: Bassett DS;Bullmore ET
• 通讯作者: Bullmore ET

Hierarchical organization of human cortical networks in health and schizophrenia.

• DOI: 10.1523/jneurosci.1929-08.2008
• 发表时间: 2008-09-10
• 期刊: The Journal of neuroscience : the official journal of the Society for Neuroscience
• 作者: Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
• 通讯作者: Meyer-Lindenberg A

Endogenous human brain dynamics recover slowly following cognitive effort.

• DOI: 10.1371/journal.pone.0006626
• 发表时间: 2009-08-14
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Barnes A;Bullmore ET;Suckling J
• 通讯作者: Suckling J