Lecture 1x

yakzephyrAI and Robotics

Nov 24, 2013 (3 years and 6 months ago)

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NEUR 4850

Advanced Techniques in Cognitive Neuroscience

Course Structure



Intentionally loose structure


we’ll create this course
as we go along and explore different approaches to
EEG



You will function as if you are students in my lab



Course Structure



Grading


30% class participation


30% midterm exam


40% project



Rough Timeline




BESA Dipole
Simulator to
create
hypothetical
“forward
solution” for
Visual
Evoked
Potentials

Collect and
Analyze real
Visual
Evoked
potentials

Design your
own
experiment


Write a “grant
proposal” to
pitch it to the
class

Class picks
two
experiments
and runs
these in small
groups

Learn by doing

Learn by watching and
listening

Course Structure



The Project:


Design and carry out a simple “demonstration” (not
experiment)


Using SIMPLE gadgets and gizmos that you find
around the lab


A button box to record participant’s input


A Simple computer program that blinks boxes on
the screen


Paper, Pencil, etc.


Random stuff…



Electroencephalography and
the Event
-
Related Potential



1929


first measurement of brain electrical activity
from scalp electrodes (Berger, 1929)



Believed to be artifactual and/or of no significance



Currently
PubMed

search for “EEG” in keywords
returns 107,088 hits


That’s about 3 ½ papers per day


Electroencephalography and
the Event
-
Related Potential



Time

Voltage

-
Place an electrode on the scalp and another one somewhere else (non
-
cephalic ground)


-
Amplify the signal to record the voltage difference across these
electrodes


-
Keep a running measurement of how that voltage changes over time


-
This is the EEG

From EEG to ERP


The EEG is characterized by ongoing “oscillations”
that (presumably) reflect aspects of the underlying
neural activity

From EEG to ERP


The EEG is characterized by ongoing “oscillations”
that (presumably) reflect aspects of the underlying
neural activity


Discrete events such as stimuli don’t usually “show
up” in the EEG wave


Substantial signal processing is necessary to reveal the
“signal” from the “noise”


Much of the “post
-
processing” of scalp recorded
EEG is directly related to handling intra
-
cranial EEG

CCBN Dense
-
Array EEG

Netstation



records EEG and
event triggers


Digamize


records
electrode locations


BESA

-
post
-
processing

-
ERP averaging

-
voltage maps

-
source imaging



MatLab

Fieldtrip

BrainVoyager

SPSS

-
EEG spectral analysis

-

MRI
coregistration

MANUSCRIPT

Stimuli

Event Triggers

Raw EEG

.raw

.
sfp

Data Files