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<h3>Courses</h3>


<h4>Medical Neuroscience</h4>
[[Beauchamp:TeachingOld|Archive of Previous Teaching Page]]


Dr. Beauchamp is a lab instructor for the Medical Neuroscience laboratory course.
==Learning more about Neuroimaging==
Click here for information about downloading teaching material for this course:
To learn more about neuroimaging, consider the two course sequence taught by David Ress and Michael Beauchamp at Baylor College of Medicine.
[[Beauchamp:MedNSLab|Teaching Material for Medical Neuroscience Laboratory Course]]
===Fundamentals of Human Neuroimaging===
The first course in the sequence, taught in the Fall (Terms 1 and 2) is directed by David Ress. It is primarily a lecture course survey of neuroimaging methods and results. In 2016, the course was offered on Tuesdays and Thursdays from 10:45 am to noon from August 23 to December 13. The course schedule may change in the future, please contact Dr. Ress for schedule information. This course is listed as a BCM course (GS-NE-400) and is cross-listed at Rice as NEUR 430.
Goals and learning objectives:
#Develop familiarity with basic neuroanatomy and electrophysiology.
#Understand the physical basis of magnetic resonance imaging of tissue structure, including the nuclear magnetic resonance, contrast mechanisms, image acquisition, signal processing, and scanner hardware.
#Understand the physiology of neurovascular coupling, and explore its effects on both optical signals and MRI.
#Understand basic concepts, hardware, and analysis of positron emission tomography.
#Become familiar with neuroscience imaging experiment design, analysis, and results, particularly as they are applied human vision science.
Neuroscience elective. 3 Credits for 2 terms (Terms 1 and 2). T/Th. Prerequisites: Introductory Calculus and Physics at the freshman level.
Course director: David Ress, Ph.D.


<h5>Lab 7 Notes</h5>
[[Media:GS-NE-400Syllabus.pdf|Here is the syllabus for this class in 2016]]
The NeuroLab CD contains incorrect information on the location of the frontal eye fields. This PDF shows the correct location
[[media:Lab7FrontalEyeFields.pdf|FrontalEyeFields]]


<h5>Lab 8 Notes</h5>
===Advanced Functional Magnetic Resonance Imaging Laboratory===
Many of the structures in Lab 8 can be seen on MRI. The following PDF contains labeled MRI sections.
The second course in the sequence, taught in the Spring, is directed by Michael Beauchamp, course director. The course is listed as BCM GS-NE-472 (350-472) and is cross-listed as Rice Psychology 585. This is a limited enrollment course focussed on practical MRI techniques. Students will collect and analyze MRI data. The course is designed for graduate students, fellows, and others actively collecting MRI data for a research project. The course is typically taught on Wednesdays from 9am to 11:30am. This is a 2 credit course with Pass/Fail grading. The prerequisite is completion of the first course in the sequence, GS-NE-400 (above) and permission of instructor. The course is taught in Term 4. This year, the dates for this term are March 13 - May 12, 2017 (last week is for final exams, so no class in final week).
[[media:Lab8MRI.pdf|Lab8MRI]]
#3/16/16 CAMRI Safety Training (if not already completed). 10 - 10:45, CAMRI Conference Room.
#3/23/16  fMRI Data Analysis Part I: Block Design
#3/30/16  fMRI Data Analysis Part 2: Event-Related Design
#4/6/16  Hands-On Dataset Analysis Introduction to data6
download all afni_data datasets from
https://afni.nimh.nih.gov/pub/dist/edu/data/
work through handouts at
https://afni.nimh.nih.gov/pub/dist/edu/latest/
#4/13/16 Further Analysis of data6. afni06_decon.ppt NB: this uses the data in the afni_data2 folder.
#4/20/16  AFNI Boot Camp in Tulsa, OK. Demo of Flywheel Data Management System.
#4/27/16  Intro to DTI with Paul Taylor, contents TBD
#5/4/16 Skype Class on Freesurfer


Here are slides presented for Introduction to Neuroimaging on January 22, 2010
[[media:2010Lecturev2.pptx|Neuroimaging]]


Here are slides presented for Motor System Lecture #1 (muscles) on March 17, 2010
[[media:Lecture1.pptx|Motor Systems Lecture #1]]


Here are slides presented for Motor System Lecture #2 (spinal reflexes) on March 17, 2010
====Course Details====
[[media:Lecture2.pptx|Motor Systems Lecture #2]]
Students will need to take an MRI safety course offered by CAMRI.
 
Here are slides presented for Motor System Lecture #3 (motor cortex) on March 19, 2010
[[media:Lecture3.pptx|Motor Systems Lecture #3]]
 
Here are slides presented for Motor System Lecture #4 (basal ganglia) on March 22, 2010
[[media:Lecture4.pptx|Motor Systems Lecture #4]]
 
Here are slides presented for Motor System Lecture #5 (cerebellum) on March 24, 2010
[[media:Lecture5.pptx|Motor Systems Lecture #5]]
 
Here are slides presented for Prelab #9 (descending pathways) on March 29, 2010
[[media:PreLab9.pptx|Prelab #9]]
 
 
 
 
A teaching website that shows midbrain, brainstem and spinal cord slices labeled with tracts and anatomy is
http://isc.temple.edu/neuroanatomy/lab/
 
A website that shows labeled brain anatomy from the Visible Human project is
http://www.netanatomy.com
 
A free iPhone app from the Cold Spring Harbor Laboratory allows 3D visualization of brain structures
http://itunes.apple.com/us/app/3d-brain/id331399332?mt=8
 
A web-based version of the same app may be seen at
http://www.g2conline.org/
 
 
 
misc teaching notes:
[[Beauchamp:MedNSLabNotes]]
 
<h4>MS4 Neuroimaging Elective: BSCI 4008</h4>
 
Dr. Beauchamp offers a neuroimaging elective for 4th year medical students interested in specialties where brain disorders are an important contributor to disease. Students will select a disorder of interest and learn how neuroimaging could be used for diagnosis or treatment. For instance, obesity (Internal Medicine); dementia (Geriatrics); tumor (Neurosurgery); cerebral infarcts (Radiology); epilepsy (Neurology); dyslexia (Pediatrics); bipolar disorder (Psychiatry). No technical background or experience with neuroimaging is required.
 
http://med.uth.tmc.edu/administration/student/catalog/10/BasicScience/BSCI4008.pdf
 
misc teaching notes:
[[Beauchamp:ElectiveNotes]]
 
<h4>AFNI/fMRI Short Course</h4>
Dr. Bob Cox, the Director of the Scientific and Statistical Computing Core at the National Institute of Mental Health Intramural Research Program will be visiting Houston on October 4-8, 2010. Together with his staff, Dr. Cox will teach a 5-day course on fMRI data analysis with the AFNI software package.
Here is a tentative schedule for the course: [[media:SD-BootcampSchedule.pdf|AFNI Course Schedule]]
 
<h4>Introduction to fMRI</h4>
The main graduate course offered by Dr. Beauchamp is titled "Introduction to fMRI".
This course is intended for graduate students, post-doctoral fellows and faculty who are interested in using fMRI for their research. A small number of undergraduates may also enroll in the course solely at the discretion of the instructor. Only undergraduates who are currently working in a laboratory that uses functional MRI study will be considered. The course is primarily offered through the University of Texas Graduate School of Biomedical Sciences. The course is also cross-listed at Rice University in the Psychology and Bioengineering departments and in the Baylor College of Medicine Graduate School of Biological Sciences. If you are a student at UT, Rice or Baylor contact your registrar for enrollment information. If you are not a student at UT, Rice or Baylor, please visit this web page for information about enrolling in the course:
http://registrar.uth.tmc.edu/Registration/ConcurEnrollment.html
 
The textbook for this course is "Functional Magnetic Resonance Imaging", 2nd edition, by Huettel, Song and McCarthy.
The text may be ordered from Amazon
http://www.amazon.com/Functional-Magnetic-Resonance-Imaging-Second/dp/0878932860
or it is available at the UT bookstore at a 10% discount.
 
<h4>Other Courses and Lectures</h4>
 
A second course offered by Dr. Beauchamp is titled "Advanced Seminars in Neuroimaging". This is an advanced course for students who have already taken Introduction to fMRI.
 
Click here for information about a lecture on fMRI delivered at Texas Children's Hospital on December 2nd, 2009:
[[Beauchamp:TCH|TCH Lecture]]

Revision as of 13:14, 20 February 2017

Brain picture
Beauchamp Lab



Archive of Previous Teaching Page

Learning more about Neuroimaging

To learn more about neuroimaging, consider the two course sequence taught by David Ress and Michael Beauchamp at Baylor College of Medicine.

Fundamentals of Human Neuroimaging

The first course in the sequence, taught in the Fall (Terms 1 and 2) is directed by David Ress. It is primarily a lecture course survey of neuroimaging methods and results. In 2016, the course was offered on Tuesdays and Thursdays from 10:45 am to noon from August 23 to December 13. The course schedule may change in the future, please contact Dr. Ress for schedule information. This course is listed as a BCM course (GS-NE-400) and is cross-listed at Rice as NEUR 430. Goals and learning objectives:

  1. Develop familiarity with basic neuroanatomy and electrophysiology.
  2. Understand the physical basis of magnetic resonance imaging of tissue structure, including the nuclear magnetic resonance, contrast mechanisms, image acquisition, signal processing, and scanner hardware.
  3. Understand the physiology of neurovascular coupling, and explore its effects on both optical signals and MRI.
  4. Understand basic concepts, hardware, and analysis of positron emission tomography.
  5. Become familiar with neuroscience imaging experiment design, analysis, and results, particularly as they are applied human vision science.

Neuroscience elective. 3 Credits for 2 terms (Terms 1 and 2). T/Th. Prerequisites: Introductory Calculus and Physics at the freshman level. Course director: David Ress, Ph.D.

Here is the syllabus for this class in 2016

Advanced Functional Magnetic Resonance Imaging Laboratory

The second course in the sequence, taught in the Spring, is directed by Michael Beauchamp, course director. The course is listed as BCM GS-NE-472 (350-472) and is cross-listed as Rice Psychology 585. This is a limited enrollment course focussed on practical MRI techniques. Students will collect and analyze MRI data. The course is designed for graduate students, fellows, and others actively collecting MRI data for a research project. The course is typically taught on Wednesdays from 9am to 11:30am. This is a 2 credit course with Pass/Fail grading. The prerequisite is completion of the first course in the sequence, GS-NE-400 (above) and permission of instructor. The course is taught in Term 4. This year, the dates for this term are March 13 - May 12, 2017 (last week is for final exams, so no class in final week).

  1. 3/16/16 CAMRI Safety Training (if not already completed). 10 - 10:45, CAMRI Conference Room.
  2. 3/23/16 fMRI Data Analysis Part I: Block Design
  3. 3/30/16 fMRI Data Analysis Part 2: Event-Related Design
  4. 4/6/16 Hands-On Dataset Analysis Introduction to data6

download all afni_data datasets from https://afni.nimh.nih.gov/pub/dist/edu/data/ work through handouts at https://afni.nimh.nih.gov/pub/dist/edu/latest/

  1. 4/13/16 Further Analysis of data6. afni06_decon.ppt NB: this uses the data in the afni_data2 folder.
  2. 4/20/16 AFNI Boot Camp in Tulsa, OK. Demo of Flywheel Data Management System.
  3. 4/27/16 Intro to DTI with Paul Taylor, contents TBD
  4. 5/4/16 Skype Class on Freesurfer


Course Details

Students will need to take an MRI safety course offered by CAMRI.

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