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neuroscience, magnetic resonance, functional mri, fMRI, neurosurgery, brain mapping, cognitive neuroscience, eeg, positron emission tomography, ucla, neuroimaging, pulse sequences, alzheimer's, parkinsons, perception, neurophysiology, magnetic resonance imaging, functional magnetic resonance imaging, cognition, psychology, epilepsy, PET, optical intrinsic signal, OIS, QEEG, magnetoencephalography, MEG, spectroscopy

Principles of Neuroimaging A

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Catalog Course Description
Factors common to neuroimaging in multiple modalities including: Physiological Contrast mechanisms and Biophysics; Signal and Image processing, including transform approaches, Statistical Modeling and Inference, Time-Series Statistics, Detection Theory, Contrast Agents, Experimental Design, Modeling and Inference, Electrical Detection methods, Electroencephalography, Optical Methods, Microscopy.
Pre-Requisites
Functional Neuroanatomy (M292) and competence in 1) Integral calculus 2) Statistics 3) Electricity and Magnetism and 4) Computer Programming (any language). Waiver of some requirements may be possible by consent of the instructor.
Class Size
Class size is limited to 25 students, with priority given to students who are enrolled into the NeuroImaging Training Program
Textbooks
There is no core texbook for this course. Students will find the majority of the reading material on line and should prepare the readings prior to the in-class lecture.
Course Generalities [this link]
 

Syllabus (This is the start of the 2008 syllabus. Please note that I am still designing the syllabus based on the current class, thus mch of this is in DRAFT form)

LATE BREAKING NEWS: We will meet from now on in Room 58-261B on the Fifth Floor or NPI

Please note that many of the readings are password protected for copyright protection. If you are accessing this site for legitimate academic purposes, please contact Mark Cohen for password access.

Monday Wednesday Friday

1/7

Organizational - Cohen

READINGS

QUIZ and answers

1/9

The Image as a Hypothesis Test - Cohen

If Neuroimaging is the Answer, What is the Question?

1/11

Neurons- Cohen

READINGS

Assignment Due Monday 1/14:

Two sentences: "What is an image?"

 

1/14

Neurons - Cohen

READINGS

Further Reading:

1/16

The Functional Organization of the Brain - Suthana

Neuroanatomy is a requirement for this course. I strongly recommend that you take a look at the online course linked below. Today's lecture will cover a few organizing principles only.

READINGS

More Reading:

1/18

Stats 101 - Cohen

Further Reading:

Problem Set 1 - MATLAB practice

 

PROBLEM Set 11/21

MARTIN LUTHER KING HOLIDAY

No Class

1/23

Stats 102 - Cohen

Problem set 1 solutions
In class MATLAB demo (linear correlation)

READINGS

1/25

N.B. Today's class starts at 2:30!!!

Statistical Inference - Mumford

READINGS

1/28

Statistical Inference (2)- Mumford

READINGS

1/30

Linear Systems (intro) - Cohen

READINGS

2/1

 

2/4

2/6

(Mark is away)

2/8

 

2/11

Electrical Circuits and LaPlace - Cohen

READINGS

 

2/13

Optical Intrinsic Signals - tbd

2/15

Dynamic Optical Spectroscopy - tbd

2/18

Washington's Birthday Holiday

Mark is Away

2/22

EEG circuit design - Cohen

2/25

Practical Implementation of EEG Circuits - Cohen

2/27

No Class - - Cohen

2/29

 

 

 

 

3/3

Oscillatory EEG and DEMO - Cohen

Circuit used and results from our volunteer

3/5

EEG Signal Analysis - Soss

READINGS
Slides (password needed)

3/7

In lieu of a final, we had an in class discussion of these exam-like questions

3/10

TBD

3/12

EEG Signal Analysis II - Soss

3/14

Units and Oscillations - Ekstrom

For handouts indicated by * a $5 bounty is hereby offered for the first report of each factual error.

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The UCLA Neuroimaging Training Program is funded by generous awards from the National Institutes of Health, grant numbers R90 DA022768 and T90 DA023422