本课程是 Neuroscience and Neuroimaging 专项课程专项课程的一部分

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Martin Lindquist, PhD, MSc 另外 +1 位授课教师

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Neuroscience and Neuroimaging 专项课程约翰霍普金斯大学

课程信息

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Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain.  This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.  It is a continuation of the course “Principles of fMRI, Part 1”.

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第 3 门课程（共 4 门）

Neuroscience and Neuroimaging 专项课程

完成时间大约为9 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

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第 3 门课程（共 4 门）

Neuroscience and Neuroimaging 专项课程

完成时间大约为9 小时

英语（English）

字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）

授课教师

授课教师评分

4.43/5 （24 个评分）

Martin Lindquist, PhD, MSc

Professor, Biostatistics

Bloomberg School of Public Health | Johns Hopkins University

35,302 个学生

2 门课程

Tor Wager, PhD

Diana L. Taylor Distinguished Professor

Department of Psychological and Brain Sciences

35,302 个学生

2 门课程

提供方

约翰霍普金斯大学

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

授课大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 2 小时

Week 1

This week we will discuss psychological and behavioral inference, as well as advanced experimental design.

完成时间为 2 小时

8 个视频（总计 103 分钟）, 1 个阅读材料, 1 个测验

8 个视频

Module 1A: Crises in neuroscience and psychology: Problems and solutions14分钟

Module 1B: Crises in neuroscience and psychology: Problems and solutions14分钟

Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond11分钟

Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13分钟

Module 3: Meta Analysis10分钟

Module 4: Using meta-analysis to improve inference12分钟

Module 5: Optimizing acquisition for your study goals18分钟

Module 6: Resting-state fMRI7分钟

1 个阅读材料

Syllabus10分钟

1 个练习

Quiz 130分钟

周

周 2

完成时间为 2 小时

Week 2

This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.

完成时间为 2 小时

11 个视频（总计 119 分钟）

11 个视频

Module 7A: Advanced Experimental Design I - Fundamentals of design efficiency9分钟

Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency12分钟

Module 8: Advanced Experimental Design II – Efficiency in fMRI10分钟

Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms12分钟

Module 10: Model building: Parametric modulators8分钟

Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11分钟

Module 12A: Multicolinearity and diagnostics10分钟

Module 12B: Multicolinearity and diagnostics8分钟

Module 13: Robust regression14分钟

Module 14A: Practical group analysis: Procedures and checks9分钟

Module 14B: Practical group analysis: Procedures and checks10分钟

1 个练习

Quiz 230分钟

周

周 3

完成时间为 2 小时

Week 3

This week we will focus on brain connectivity.

完成时间为 2 小时

8 个视频（总计 77 分钟）

8 个视频

Module 15: Brain Connectivity – different types6分钟

Module 16: Functional Connectivity9分钟

Module 17: Multivariate Decomposition Methods9分钟

Module 18: Dynamic Connectivity9分钟

Module 19: Network Analysis I – Graph theory10分钟

Module 20: Effective Connectivity9分钟

Module 21: Mediation, moderation, and structural models12分钟

Module 21B: Mediation, moderation, and structural models11分钟

1 个练习

Quiz 330分钟

周

周 4

完成时间为 2 小时

Week 4

This week we will focus on multi-voxel pattern analysis.

完成时间为 2 小时

10 个视频（总计 90 分钟）

10 个视频

Module 22: Directed graphs: DCM7分钟

Module 23: Directed graphs: Granger causality9分钟

Module 24: Principles of causal inference12分钟

Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective10分钟

Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7分钟

Module 26: MVPA Intro10分钟

Module 27: Performing MVPA I9分钟

Module 28: Performing MVPA II5分钟

Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain10分钟

Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain7分钟

1 个练习

Quiz 430分钟

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来自FMRI 基础 2的热门评论

由 AJ 提供Nov 11, 2018

Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.

由 FS 提供May 9, 2018

Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !

由 IF 提供Jul 29, 2019

Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!

由 JM 提供May 23, 2019

Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.

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关于 Neuroscience and Neuroimaging 专项课程

This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.

The specialization then continues with two courses that focus on Functional Magnetic Resonance Imaging, one of the most widely used techniques for investigating the living, functioning human brain as people perform tasks and experience mental states, and a convergence point for multidisciplinary work. To conclude, the specialization moves into implementation of neurohacking using the R programming language, with the associated packages to perform data manipulation, processing, and analysis of neuroimaging data, using publicly available structural MRI.

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fMRI 基础 2

课程信息