Lau Møller Andersen - PhD
Contact details
Email: lmandersen[at]cc.au.dk
Phone: +45 8716 9032
Aarhus University
Visiting addresses:
Department of Linguistics, Cognitive Science and Semiotics
Jens Chr. Skous Vej 2
Building 1485, Room 524
8000 Aarhus C
Denmark
CFIN cfin.au.dk
Universitetsbyen 3
8000 Aarhus C
Denmark
TEACHING MATERIAL
Be mindful about how you correct your ANOVAs (blog)
Teaching material on how to do MEG analysis on open datasets
Seminar at KIBIN (KI Brain Imaging Community)
Purpose and Aims
The main purpose is to introduce attendees to the practicalities of doing MEG research with a specific focus on pipelines for group level analysis and statistics
Slides
Teaching Material for course 3035: Imaging in neuroscience with a focus on MEG and EEG methods
PhD-Course run on February 5th-9th 2018 at Karolinska Institutet, Sweden
Purpose and Aims
The main purpose of the course was to provide the students with a solid understanding of the tools available to analyze brain activity data measured with magnetoencephalography (MEG) and electroencephalography (EEG). The students should develop the ability to critically review results provided by different methods, to select the most adequate tools and experimental designs to answer different questions and to compare their relative advantages.
Slides
These slides cover:
Origin of signal
Recording of data
Preprocessing
Maxwell filtering
High- and lowpass filtering
Demeaning
Re-referencing
Independent Component Analysis
Epochs and Evoked Responses
In-phase versus out-of-phase
Source Reconstruction
Source Model
Volume Conductor
Forward Model
Sensor Sensitivity
Co-registration
Noise Covariance
Dipole Fits
Minimum Norm Estimate
These slides cover:
Pipelines for doing Group Analysis
Grand Averages
Morphing individual anatomies onto Template anatomies
Statistics
t-statistics
Permutation Testing
Teaching Material for course: Psychophysiology HT 2018
Master's course class run on September 18th 2018 at Stockholm University, Sweden
Purpose and Aims
Teaching students the basics of MEG
Slides
These slides cover:
Origin of Signal
Recording of data
Preprocessing
Filtering
Independent Component Analysis
Epochs and Evoked Responses
In-phase versus out-of-phase
Source Reconstruction
Source Model
Volume Conductor
Forward Model
Dipole Fits
Minimum-Norm Estimate
On-scalp MEG
Teaching Material for course: Studium Generale
Bachelor's course class run on March 19th 2015 at Aarhus University, Denmark
Purpose and Aims
Introducing students to explanations, complexity and parsimony. Taught in Danish
Slides
Explanations and complexity (in Danish)
These slides cover:
The concept of explanatory power
The concept of parsimony in science (Occam's Razor)
The concept of inference to the best explanation
A short introduction to R
Introduction given to R at Aarhus University March 30th 2015
Slides part 2 (mixed effects linear model) by Mikkel Vinding
Rant about the Oxford Comma
The Oxford Comma does not disambiguate: Click here for PDF
Minimum Norm Estimate
Figure from:
Andersen, L. M. Group Analysis in MNE-Python of Evoked Responses from a Tactile Stimulation Paradigm: A Pipeline for Reproducibility at Every Step of Processing, Going from Individual Sensor Space Representations to an across-Group Source Space Representation. Front. Neurosci. 12, (2018).
On-scalp MEG
See publication
Andersen, L. M. et al. Similarities and differences between on-scalp and conventional in-helmet magnetoencephalography recordings. PLOS ONE 12, e0178602 (2017).
© Lau Møller Andersen 2021. All rights reserved