Evoked and Event-Related Potentials (ERP) Part 1 - Neurophysiological and Anatomical Basis of Scalp-Recorded Activity Craig E. Tenke & Jürgen Kayser Division of Cognitive Neuroscience, New York State Psychiatric Institute, NY, NY Department of Psychiatry, Columbia University College of Physicians & Surgeons, NY, NY • towns (Geography: in southern France, Germany, Netherlands) • enterprise resource planning (Information Technology) • Ethernet Ring Protection (Information Technology) • erotic role-playing (Sexuality) • Economic Report of the President (Economics) • effective refractory period (Medicine: cardiac cycle) • Estonian Reform Party (Politics) • Electronic Road Pricing (Politics: toll-collection scheme in Singapore) • European Recovery Program (History: Marshall Plan) • European Radio Project (Communication: European Radio Network) • exposure and response prevention (Psychology: cognitive-behavioral treatment method) • event-related potential (Physics: an electrophysiological response to an internal or external s Acronym ERP (wikipedia examples) Event Related Potentials (ERP): Basics (Part 1) 27-Jan-2009
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Evoked and Event-Related Potentials (ERP) Part 1 - Neurophysiological and Anatomical Basis of Scalp-Recorded Activity Craig E. Tenke & Jürgen Kayser Division.
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Evoked and Event-Related Potentials (ERP)Part 1 - Neurophysiological and Anatomical Basis
of Scalp-Recorded Activity
Craig E. Tenke & Jürgen Kayser
Division of Cognitive Neuroscience, New York State Psychiatric Institute, NY, NY
Department of Psychiatry, Columbia University College of Physicians & Surgeons, NY, NY
• towns (Geography: in southern France, Germany, Netherlands)• enterprise resource planning (Information Technology)• Ethernet Ring Protection (Information Technology)• erotic role-playing (Sexuality)• Economic Report of the President (Economics)• effective refractory period (Medicine: cardiac cycle)• Estonian Reform Party (Politics)• Electronic Road Pricing (Politics: toll-collection scheme in Singapore)• European Recovery Program (History: Marshall Plan)• European Radio Project (Communication: European Radio Network)• exposure and response prevention (Psychology: cognitive-behavioral treatment method)• event-related potential (Physics: an electrophysiological response to an internal or external stimulus)
Acronym ERP(wikipedia examples)
Event Related Potentials (ERP):Basics (Part 1)
27-Jan-2009
Outline
Part 1: Neurophysiological and Anatomical Basis of Scalp-Recorded Activityo Introduction: EEG measures synchronized neuronal activity (signal source)o The basic scientific method • Stimulation - Recording • Signal tracing/processing o Signal averaging: Evoked potentials (EPs) and event-related potentials (ERPs)• Theory of signal averaging• Animated examples• ERP applications• ERP topographies: Indicators of neuroanatomyo EEG biophysics• Volume Conduction and Ohm’s Law: Point generators• Vector formulation: A general model • Closed vs. open fieldso The cortical dipole: Direct evidence o A matter of scale: Micro- vs. macro- and intracranial vs. scalp electrodes
Part 2: Data acquisition and analysis: Conventions for scalp-recorded ERPs
o (details to be decided)
Part 1
Neurophysiological and Anatomical Basisof Scalp-Recorded Activity
Evoked and Event-Related Potentials (ERP)
What does EEG measure?
Changes in the extracellular potential corresponding to membrane polarization
Polarity reflects locationof cellular activity
Equivalent Current Dipolefrom apical EPSP
Equivalent Current Dipole from deep EPSP
Desynchronized PSP’s voltages cancel
“Closed Field” (No EEG at Scalp)
Importance of synchronized activity
Synchronized PSPs voltages add
“Open Field” (EEG at scalp)
Importance of synchronized activity
• when local neuronal activity is synchronized (time)
• when activity produces an open field (space)
• when activity at the recording site differs from the reference
Scalp-recorded EEG is measurable
Stimulation-Recording methods use timelocking
to synchronize activity
Stimulation-Recording Methods:Tracing signals through a “Black Box”
Signal Tracing:
Transit time:
Response Function:
To find System Properties
Compare Input Signal With Output Signal
e.g. synaptic delay across a sensory nucleus
Filtering and gain of output waveformNonlinear properties (e.g. flicker fusion)
Waveform latency, shape and topography e.g. cortical mapping
80 mm from stimulusThreshold Intensity Differential Threshold Differential Velocity