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Last updated:

September 28, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

This team-taught multidisciplinary course provides information relevant to the conduct and interpretation of human brain mapping studies.

It begins with in-depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include: fMRI experimental design including block design, event related and exploratory data analysis methods, and building and applying statistical models for fMRI data; and human subject issues including informed consent, institutional review board requirements and safety in the high field environment.

{{< anchor “fellows” >}}{{< /anchor >}}Additional Faculty

Div Bolar

Dr. Bradford Dickerson

Dr. John Gabrieli

Dr. Doug Greve

Dr. Karl Helmer

Dr. Dara Manoach

Dr. Jason Mitchell

Dr. Christopher Moore

Dr. Vitaly Napadow

Dr. Jon Polimeni

Dr. Sonia Pujol

Dr. Bruce Rosen

Dr. Mert Sabuncu

Dr. David Salat

Dr. Robert Savoy

Dr. David Somers

Dr. A. Gregory Sorensen

Dr. Christina Triantafyllou

Dr. Wim Vanduffel

Dr. Mark Vangel

Dr. Lawrence Wald

Dr. Susan Whitfield-Gabrieli

Dr. Anastasia Yendiki

Course Curriculum

    • MRI physics I Unlimited
    • MRI physics II Unlimited
    • MRI physics III Unlimited
    • Imaging physiology I: brain at the baseline Unlimited
    • Imaging physiology II: brain activation Unlimited
    • Imaging physiology III: BOLD imaging Unlimited
    • Stats 2: level 1 Unlimited
    • Stats 5: correction for multiple measures Unlimited
    • Stats 7: causality Unlimited
    • Quantitative neuroimaging biomarkers Unlimited
    • Spatial normalization for group analysis Unlimited

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Massachusetts Institute of Technology
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