Cognitive Electrophysiol.: EEG & time series anal.

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Cognitive Neuropsychology

English

6 ECTS

At the end of the course Cognitive Electrophysiology: EEG and time series analysis 2nd YEAR, students

know the historical and theoretical background of cognitive electrophysiological signals such as EEG: Where does EEG come from and what neural processes does it capture? What are its strengths, what are its weaknesses?
understand the basic steps involved in setting up an EEG experiment.
have obtained a first hands on introduction to EEG acquisition and know the steps involved in acquiring EEG.
are able to perform rudimentary EEG analyses, including pre-processing and computing an ERP.
are able to understand and interpret most basic and some advanced EEG analyses.

Course Description & Study Characteristics

Course Description

This course will give students a first introduction to "Cognitive Electrophysiology", in which electrophysiology is used to measure and understand cognitive functions such as visual perception, attention, working memory, and language in terms of brain processes. The course will provide students with a rudimentary theoretical and methodological background in electroencephalography (EEG) and to some extent magnetoencephalography (MEG), enabling them to better understand and interpret currently cutting-edge analysis techniques that are increasingly being applied to EEG, MEG, and other electrophysiological signals in cognitive neuroscience.

Themes that will be covered:

The neurophysiological basis of EEG and MEG: history, relationship with neural activity, source localization, the inverse problem
Preprocessing of electrophysiological signals: what is a ‘signal’? re-referencing, filtering, artifact rejection
Basic analyses: Event Related Potentials (ERPs), the multiple comparison problem
Important classical findings using ERPs in the context of cognitive functioning: ERP components involved in visual and/or language processing such as the C1, P1, N2, P3, N400, P600; lateralized components involved in action selection, attention and memory such as the LRP, N2Pc, CDA. The functional meaning of ERP components, and how to set up EEG experiment.
Rudimentary time-frequency analysis: Time-frequency decomposition using fourier and wavelets, relationship between ERPs and the time-frequency domain, total power versus induced power
Multivariate statistics: brain reading by obtaining classification accuracy through decoding methodology, train-test analysis approaches, investigating cortical stability through temporal generalization matrices.
Building forward encoding models that specify the relationship between cortical activity and some continuous cognitive variable, allowing one to predict cognitive contents or cortical activations maps for ‘new’ conditions for which no data exists

Study Characteristics

Discipline: Cognitive Neuropsychology
Type of education: Lectures, computer practicals, and lab demos.
Academic skill: N/A
Graduate School: N/A
Start date: TBD
End date: TBD
Minimum number of students: N/A
Maximum number of students: N/A
Admission criteria: Contact the course coordinator for information on admission criteria: dr. J.J. Fahrenfort
Concluding assessment: N/A
Assessment type: N/A
With Certificate: N/A
Schedule info: N/A
Number of lessons: N/A
Total course duration in hrs.: N/A
Sign up period: N/A
Anticipated hrs of study: N/A
Available to: PhD students VU (and VU RMA students)

Course Description & Study Characteristics
Course Description
This course will give students a first introduction to "Cognitive Electrophysiology", in which electrophysiology is used to measure and understand cognitive functions such as visual perception, attention, working memory, and language in terms of brain processes. The course will provide students with a rudimentary theoretical and methodological background in electroencephalography (EEG) and to some extent magnetoencephalography (MEG), enabling them to better understand and interpret currently cutting-edge analysis techniques that are increasingly being applied to EEG, MEG, and other electrophysiological signals in cognitive neuroscience.
Themes that will be covered:

The neurophysiological basis of EEG and MEG: history, relationship with neural activity, source localization, the inverse problem

Preprocessing of electrophysiological signals: what is a ‘signal’? re-referencing, filtering, artifact rejection

Basic analyses: Event Related Potentials (ERPs), the multiple comparison problem

Important classical findings using ERPs in the context of cognitive functioning: ERP components involved in visual and/or language processing such as the C1, P1, N2, P3, N400, P600; lateralized components involved in action selection, attention and memory such as the LRP, N2Pc, CDA. The functional meaning of ERP components, and how to set up EEG experiment.

Rudimentary time-frequency analysis: Time-frequency decomposition using fourier and wavelets, relationship between ERPs and the time-frequency domain, total power versus induced power

Multivariate statistics: brain reading by obtaining classification accuracy through decoding methodology, train-test analysis approaches, investigating cortical stability through temporal generalization matrices.

Building forward encoding models that specify the relationship between cortical activity and some continuous cognitive variable, allowing one to predict cognitive contents or cortical activations maps for ‘new’ conditions for which no data exists
Study Characteristics
Discipline: Cognitive Neuropsychology

Type of education: Lectures, computer practicals, and lab demos.

Academic skill: N/A

Graduate School: N/A

Start date: TBD

End date: TBD

Minimum number of students: N/A

Maximum number of students: N/A

Admission criteria: Contact the course coordinator for information on admission criteria: dr. J.J. Fahrenfort

Concluding assessment: N/A

Assessment type: N/A

With Certificate: N/A

Schedule info: N/A

Number of lessons: N/A

Total course duration in hrs.: N/A

Sign up period: N/A

Anticipated hrs of study: N/A

Available to: PhD students VU (and VU RMA students)

Please contact the course coordinator dr. J.J. Fahrenfort:

j.j.fahrenfort@vu.nl

Cognitive Electrophysiol.: EEG & time series anal.

Dr. J.J. Fahrenfort

Dr. J.J. Fahrenfort

Course Description & Study Characteristics

Study Characteristics

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