Keywords: Statistical Models (5)

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Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006

Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006

This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging ... (more)

This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides 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, building and applying statistical models for fMRI data. Human subjects issues including informed consent, institutional review board requirements and safety in the high field environment are presented. (less)

Subject:
Science and Technology
Material Type:
Activities and Labs
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Gollub, Randy
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Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2008

Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2008

" This team-taught multidisciplinary course provides information relevant to the conduct and ... (more)

" 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. 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 " (less)

Subject:
Science and Technology
Material Type:
Activities and Labs
Assessments
Full Course
Lecture Notes
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Gollub, Randy
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Investigating Projectile Motion: Predicting Point of Impact

Investigating Projectile Motion: Predicting Point of Impact

Students will understand that projectile motion is a result of two independent ... (more)

Students will understand that projectile motion is a result of two independent motions, horizontal and vertical by reading, problem-solving, and experimentation. (less)

Subject:
Science and Technology
Material Type:
Activities and Labs
Assessments
Lesson Plans
Collection:
Pedagogy in Action (SERC)
Provider:
SERC at Carlton College
Author:
Dammann, Andrea
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Marshmallow Models

Marshmallow Models

This activity will take complex molecules and polyatomic ions the students have ... (more)

This activity will take complex molecules and polyatomic ions the students have learned and construct them out of marshmallows and redhots. This develops understanding in VESPR structures and hybrid molecules. (less)

Subject:
Mathematics and Statistics
Science and Technology
Material Type:
Activities and Labs
Assessments
Lesson Plans
Collection:
Pedagogy in Action (SERC)
Provider:
SERC at Carlton College
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2002 llaF ,gnivloS melborP gnireenignE dna sretupmoC ot noitcudortnI

2002 llaF ,gnivloS melborP gnireenignE dna sretupmoC ot noitcudortnI

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni ... (more)

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni smelborp gnivlos rof seuqinhcet gnipoleved no si sisahpmE .scipot decnavda detceles dna scihparg retupmoc ,gnihcraes dna gnitros ,serutcurts atad ,sdohtem laciremun ,secafretni resu lacihparg ,stpecnoc gnimmargorp revoc smelborp gnimmargorp ylkeeW .esruoc eht fo sucof eht si tnempoleved dna ngised erawtfos detneiro-tcejbO .snoitacilppa cifitneics dna gnireenigne rof sdohtem lanoitatupmoc dna tnempoleved erawtfos latnemadnuf stneserp esruoc sihT (less)

Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
George Kocur
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