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Principles of fMRI 1
  • Level Foundation
  • المدة 8 ساعات hours
  • الطبع بواسطة Johns Hopkins University
  • Offered by

عن

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 design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here: https://leanpub.com/principlesoffmri.

الوحدات

Overview

    • 5 Videos
    • 2 Readings
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5 Videos

  • Module 1: Introduction and Ground Rules
  • Module 2: Goals of fMRI Analysis
  • Module 3: fMRI Data Structure
  • Module 4.1: Psychological Inference Part 1
  • Module 4.2: Psychological Inference Part 2

2 Readings

  • Syllabus
  • Principles of fMRI Book

Acquisition and Reconstruction

    • 3 Videos
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3 Videos

  • Module 5: Basic Understanding of MR Physics
  • Module 6: Forming an Image
  • Module 7: K Space

Assessment

    • 1 Assignment
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1 Assignment

  • Quiz 1

Physiology, Signal, and Noise

    • 4 Videos
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4 Videos

  • Module 8: Signal, Noise, and Bold Physiology
  • Module 9: fMRI Artifacts and Types of Noise
  • Module 10.1: Spatial and Temporal Resolution of Bold Part 1
  • Module 10.2: Spatial and Temporal Resolution of Bold Part 2

Experimental Design

    • 3 Videos
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3 Videos

  • Module 11: Experimental Design
  • Module 12.1: Kinds of Designs Part 1
  • Module 12.2: Kinds of Designs Part 2

Prepocessing

    • 2 Videos
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2 Videos

  • Module 13: Pre-Processing of fMRI Data
  • Module 14: Pre-Processing (continued)

Assessment

    • 1 Assignment
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1 Assignment

  • Quiz 2

Statistical Analysis: The General Linear Model

    • 5 Videos
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5 Videos

  • Module 15: General Linear Model
  • Module 16: Applying GLM to fMRI Data
  • Module 17: Details of Building GLM Models
  • Module 18: Linear Basis Sets
  • Module 19: Filtering & Nuisance Covariates

Inference and Group Analysis

    • 3 Videos
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3 Videos

  • Module 20: GLM Estimation
  • Module 21: Noise Models - AR Models
  • Module 22: Inference - Contrasts and T-tests

Assessment

    • 1 Assignment
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1 Assignment

  • Quiz 3

Group Analysis

    • 3 Videos
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3 Videos

  • Module 23: Group-level Analysis I
  • Module 24: Group-level Analysis II
  • Module 25: Group-level Analysis III

Multiple Comparisons

    • 4 Videos
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4 Videos

  • Module 26: Multiple Comparison Problem in fMRI
  • Module 27: FWER Correction
  • Module 28: FDR Correction
  • Module 29: Pitfalls and Multiple Comparisons

Assessment

    • 1 Assignment
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1 Assignment

  • Quiz 4

Auto Summary

Discover the fascinating world of Functional Magnetic Resonance Imaging (fMRI) with the "Principles of fMRI 1" course, designed for enthusiasts and professionals across various disciplines. This foundational course, part of Coursera's offerings in the Data Science & AI domain, delves into the intricacies of fMRI technology, which is pivotal for exploring the active human brain during different tasks and mental states. Guided by expert instructors, the course covers essential topics such as the design, acquisition, and analysis of fMRI data. Learners will gain insights into psychological inference, MR physics, K-space, experimental design, pre-processing of fMRI data, and the application of Generalized Linear Models (GLMs). This comprehensive curriculum is ideal for psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, and biologists aiming to deepen their understanding of brain function and cognition. With a substantial duration of 480 hours, this course offers a robust learning experience that can be accessed through a Starter subscription. Embark on this multidisciplinary journey and enhance your expertise in one of the most cutting-edge fields of brain research. For additional reading, participants can refer to the related book available at https://leanpub.com/principlesoffmri.

Martin Lindquist, PhD, MSc
Instructors

Martin Lindquist, PhD, MSc

Tor Wager, PhD
Instructors

Tor Wager, PhD