Principles of Neuroimaging B - 2017: Difference between revisions
Jump to navigation
Jump to search
Alenartowicz (talk | contribs) No edit summary |
Alenartowicz (talk | contribs) No edit summary |
||
| Line 53: | Line 53: | ||
=Week 3: MRI Applications = | =Week 3: MRI Applications = | ||
==''Monday 1/23/17'' == | ==''Monday 1/23/17'' == | ||
===-MR Pulse Sequences ''Speaker'' [https://www.brainmapping.org/MarkCohen/aboutmark.html Mark Cohen]=== | ===-MR Pulse Sequences and Parameters ''Speaker'' [https://www.brainmapping.org/MarkCohen/aboutmark.html Mark Cohen]=== | ||
==''Wednesday 1/25/17'' == | ==''Wednesday 1/25/17'' == | ||
| Line 63: | Line 63: | ||
=Week 4: Non-MR Imaging= | =Week 4: Non-MR Imaging= | ||
==''Monday 1/30/17'' == | ==''Monday 1/30/17'' == | ||
===- | ===- TBD ''Speaker'' TBD=== | ||
==''Wednesday 2/1/17'' == | ==''Wednesday 2/1/17'' == | ||
===- | ===- TBD. ''Speaker'' TBD=== | ||
=Week 5: Multimodal Imaging & Neuroimaging Data= | =Week 5: Multimodal Imaging & Neuroimaging Data= | ||
==''Monday 2/6/17'' == | ==''Monday 2/6/17'' == | ||
===- Multimodal Imaging ''Speaker'' | ===- Multimodal Imaging ''Speaker'' Cameron Rodriguez=== | ||
==''Wednesday 2/8/17'' == | ==''Wednesday 2/8/17'' == | ||
===- | ===- Midterm Review=== | ||
=MIDTERM= | =MIDTERM= | ||
Revision as of 21:19, 20 January 2017
Principles of Neuroimaging B, Winter, 2017 - Class Schedule and Syllabus
This schedule is a draft only and will change!
Course Reading
Required Reading
- Signal Processing for Neuroscientists by Wim van Drongelen
- This can be found as a PDF on scribd.com, for a small fee of $8.99
Supplemental Reading
- Matlab for Neuroscientists
- Link for download found here for a small fee: http://www.scribd.com/doc/88212458/Matlab-Matlab-for-Neuroscientists
- Cartoon Guide to Statistics
- Link for download found here for a small fee: http://www.scribd.com/doc/148072668/Cartoon-Guide-to-Statistics
- NOTE: if you subscribe for a Scribd account for a day, you can download as many documents as you like for one fee.
Week 1: Magnetic Resonance Imaging: Fundamentals
Magnetic Resonance Imaging (MRI) is probably the most influential and most flexible current means of imaging the human brain. It features a vast number of separable contrast mechanisms, and a near ideal combination of non-invasiveness, safety, resolution and metric accuracy. However, it is extraordinarily expensive and has limited temporal resolution, especially for functional studies
OUTLINE
Required Readings
- MRI Slides
- These notes by Joseph Hornak are highly professional and complete coverage of MRI.
- eMRI is another excellent online MRI learning resource
- Erwin Hahn - Spin Echoes: Essential reading for the MRI community
above: Figure 1 from Hahn, 1950
Suggested Further Reading
Required Readings
Monday 1/9/17
- MR Physics I. Speaker: Mark Cohen
Wednesday 1/11/17
- MR Physics II. Speaker: Mark Cohen
Week 2: MRI Techniques
Monday 1/16/17
MLK Day No Class
Wednesday 1/18/17
- MR Spatial Encoding Q&A. "Speaker" Cameron Rodriguez
Week 3: MRI Applications
Monday 1/23/17
-MR Pulse Sequences and Parameters Speaker Mark Cohen
Wednesday 1/25/17
-MR Applications (MR, fMRI, DTI, ASL, Spectroscopy). Speaker Mark Cohen
Week 4: Non-MR Imaging
Monday 1/30/17
- TBD Speaker TBD
Wednesday 2/1/17
- TBD. Speaker TBD
Week 5: Multimodal Imaging & Neuroimaging Data
Monday 2/6/17
- Multimodal Imaging Speaker Cameron Rodriguez
Wednesday 2/8/17
- Midterm Review
MIDTERM
Week 6: Neuroimaging Data
Monday 2/13/17
Midterm Review
Wednesday 2/15/17
-Multivariate Analyses: Dimension Reduction. Speaker TBD
Week 7: Neuroimaging Data
Monday 2/20/17
President’s Day Holiday No Class
Wednesday 2/22/17
- Multivariate Analyses: Brain Decoding Speaker TBD
Week 8: Practical Brain Decoding & Connectivity
Monday 2/27/17
Building a BCI System
Wednesday 3/1/17
- Connectivity Fundamentals Speaker TBD
Week 9: Neuromodulation
Monday 3/6/17
-TMS. Speaker TBD
Wednesday 3/8/17
- Ultrasound. Speaker TBD
'Required Readings
Suggested Further Reading Once upon a time we demonstrated that this sort of magnetic stimulation can take place in the MRI machines:
Suggested Further Reading