ERP Boot Camp Lecture #1
Transcript of ERP Boot Camp Lecture #1
All slides © S. J. Luck, except as indicated in the notes sections of individual slides
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The ERP Boot Camp
What Are ERPs and What Are
They Good For?
Overview
• A bit of history
• Review: Basic neurophysiology & electricity
• Neural origins of ERPs
• Comparison of ERPs with other techniques
Walter, W. G., Cooper, R., Aldridge, V. J., McCallum, W. C., &
Winter, A. L. (1964). Contingent negative variation: An electric
sign of sensorimotor association and expectancy in the
human brain. Nature, 203, 380-384.
The Dawn of History
• 1964: Gray Walter and the CNV
No Task: Click Only
No Task: Flashes Only
No Task: Click followed by flashes
Task: Press button when flashes start
CNV
Which Way is Up?
René Descartes
Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965).
Evoked potential correlates of stimulus uncertainty.
Science, 150, 1187-1188.
Scenario:
Cue stimulus indicating whether click
or flash was likely
Delay of 3-5 seconds: Subject
guesses whether stimulus will be
click or flash
Click or flash occurs
The Birth of the P300
• 1965: Sutton, Braren, Zubin, & John
P300
Sound-Elicited
ERPs
Light-Elicited
ERPsP300
The Next 4 Decades
• 1970s- Development and standardization of methods
- Characterization of P3 and application to psychopathology
- Selective attention (Hillyard, Näätänen, Harter)
• The 1980s- Kutas & Hillyard (1980) discover N400
- ERPology transitions into cognitive neuroscience
- Multichannel recordings (16+ electrodes) and BESA
• The 1990s- fMRI takes off, leading to predictions of the demise of ERPs
The Next 4 Decades
• 1970s- Development and standardization of methods
- Characterization of P3 and application to psychopathology
- Selective attention (Hillyard, Näätänen, Harter)
• The 1980s- Kutas & Hillyard (1980) discover N400
- ERPology transitions into cognitive neuroscience
- Multichannel recordings (16+ electrodes) and BESA
• The 1990s- fMRI takes off, leading to predictions of the demise of ERPs
- ERPs try to become a neuroimaging technique
- More components: LRP, N2pc, ERN, N170, etc.
• The 2000s- Time-frequency analyses become mainstream
- The ERP Boot Camp!
Some Basics of Neuroscience
• Resting membrane potential- -70 mV on inside of cell
• Action potentials- Triggered when membrane potential goes sufficiently positive
- Starts at axon hillock and travels down axon
- Rarely contributes to scalp ERPs
• Postsynaptic potentials (PSPs)- Neurotransmitter binds with receptor, opens ion channels
- Excitatory: Positive charges move into cell
- Inhibitory: Negative charges move into cell
- The origin of most ERPs
Some Basics of Electricity
• Current (I for Intensity; Amperes)- Movement of charges across space (coulombs per second)
- Like rate of water coming out of a hose (liters per second)
• Voltage (E for Electromotive Force; Volts)- Potential for charges to move
- Like water pressure
• Resistance (R; Ohms [Ω])- Resistance to movement of charges
- Like having a skinny or blocked hose segment
• Impedance (Z)- Resistance to the flow of alternating current (AC)
- Combines resistance, capacitance, and inductance
Some Basics of Electricity
• Power (Watts) = EI (typically proportional to E2)
• Ohm’s Law: E = IR- If resistance increases and current is constant, voltage
increases!
- If you keep total water flow constant but constrict part of the hose, the pressure increases
Some Basics of Electricity
• Electricity follows the path of least resistance
Overall R < lowest individual R Overall R = sum of individual Rs
Some Basics of Electricity
• Measuring Electrode Impedances
Measuring between E1 and E8 gives
you the sum of E1 and E8; which
impedance is high?
Measuring between E1–E7 (in parallel)
and E8 gives you the sum of E8 and less
than the lowest of E1–E7
Some Basics of Electricity
• Induction- If you pass an electrical current through a conductor, a magnetic
field will run around it (right-hand rule)
- If you pass a magnetic field across a conductor, an electrical current is induced in the conductor
Some Basics of Electricity
• AC is “Alternating Current”- Changes fairly rapidly over time
- Line current (50 or 60 Hz)
- EEG
• DC is “Direct Current”- Fairly constant “offset” in voltage
- Batteries
- Skin potentials
- In discussions of amplifiers, DC can also mean “Direct Coupled” (as opposed to capacitively coupled)
• Conveniently, this means that the amplifier can amplify DC (direct current) signals
Where Do ERPs Come From?Cortical pyramidal cell (basic input-output
cell of cerebral cortex)
Excitatory transmitter released on apical
dendrites causes positive charges to flow
into dendrites
Net negative on outside of cell
Current flows through cell, completing the
circuit
Polarity reverses with inhibitory transmitter
Polarity reverses with PSP on cell body
and basal dendrites
Polarity at scalp also depends on
orientation of the cortical surface and
position of reference electrode
Where Do ERPs Come From?
To be recorded at a distance, large numbers of neurons
must have similar voltage fields
Equivalent Current Dipole
Where Do ERPs Come From?
Scalp-recorded potentials are
possible only for layered
structures with consistent
orientations
Primarily cerebral cortex
What about:
Cerebellum?
Brainstem nuclei?
Superior colliculus?
Possible role of radial gliaLocal Field Potentials
Open Field Closed Field
Where Do ERPs Come From?
Voltages spread through the brain by “volume conduction”
Nearly speed of light
Voltage everywhere except at positive-negative transition
Skull causes lateral spread (like spraying hose on cardboard)
Magnetoencephalography (MEG)
Magnetic fields travel around electrical dipoles
The skull is transparent to magnetism -- less blurring
Deep and radial dipoles are invisible from outside the head
w1,1
w2,1
w3,1
w1,2
w2,2
w3,2
w1,3
w2,3
w3,3
C1
C2
C3
E1
The Superposition Problem
C1 C2
C3
E2
E1
E3
Voltage at an electrode at time t is a
weighted sum of all components that
are active at time t
There is no foolproof way to recover the
underlying components from the
observed waveforms
E2
E3
What are ERPs Good For?
• Reaction time for the 21st Century
- Continuous measure of processing between S and R
• Determine whether an experimental manipulation
influenced Process A or Process B
- Which ERP component was affected?
• Identifying multiple neurocognitive processes
- A given behavioral effect is often accompanied by multiple ERP
effects (different components)
- Easy to identify multiple processes contributing to behavior
• Covert monitoring of processing
- Processing can be measured under conditions that do not involve a
behavioral response (or from subjects who cannot easily be trained
to respond)
- Did the brain do something that was not evident in behavior?
What are ERPs Good For?
• Link to the brain
- Under some conditions, neural systems can be identified
- But people often draw unwarranted conclusions about
underlying neural processes from ERPs
- Many researchers desperately want ERPs to be like fMRI or
single-unit recordings, but they are not
- “Those English boys want to play the blues so bad—and they
DO play it so bad” — Sonny Boy Williamson
- “Those ERPers want to study the brain so bad—and they DO
study it so bad” — Sonny Boy Luck
ERPs Are Bad When…
• You desire certainty about the neuroanatomical locus of an
effect
• You are interested in activity that is not time-locked to a
sudden, observable event
• You cannot collect large numbers of trials in each critical
condition
- Long period of time between trials
- Severe adaptation of response over trials
- Huge number of different control conditions
- Need to surprise subjects
• Subjects make frequent head or mouth movements during
the time period of interest
- Speech is particularly bad (tongue has strong dipole)
Comparison of Techniques
An Example Experiment
Stimuli
Left standards (p = .4)
Left deviants (p = .1)
Right standards (p = .4)
Right deviants (p = .1)
Duration = 100 ms; SOA = 300-500 ms
Conditions
Attend left (press for left deviants)
Attend right (press for right deviants)
Also…
Maintain fixation (verify with EOG)
(based on many experiments from the Hillyard lab)
An Example Experiment
Comparison of Attended and Ignored Standards
Things to notice:
Same stimuli; different psychological
conditions
Time 0 is stimulus onset
Assumption: Early in time means early in
information processing sequence
Conclusion: Attention influences sensory
gain at early stage
“Upper bound” on onset time
Hard to test this with behavioral
experimentsTime relative to stimulus onset
O1/O2
An Example Experiment
Things to notice:
Standard/Deviant comparison not perfectly controlled
Ignored deviants may be detected by a system that does not
generate an ERP
Pre-History
• 1929: The Berger Rhythm
• 1934/35: Confirmation by the labs of Adrian, Jasper, and
Davis
• 1939: Single-trial ERPs reported by Pauline & Hallowell
Davis
• 1940-1960: Sensory ERPs recorded with primitive
methods
• 1962: First publication of computer-averaged ERPs by
Galambos
Basic EEG
Raw EEG
Delta (1-3 Hz)
Slow Wave Sleep
Theta (4-7 Hz)
Non-REM Sleep
Basic EEG
Alpha (8-12 Hz)
Awake, Relaxed
(Zoning)
Beta (12-25 Hz)
Mentally Active
Gamma (25+ Hz)
Local Synchrony?