LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data

Cyril R Pernet; Nicolas Chauveau; Carl Gaspar; Guillaume A Rousselet

doi:10.1155/2011/831409

LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data

Cyril R Pernet, Nicolas Chauveau, Carl Gaspar, Guillaume A Rousselet

Research output: Contribution to journal › Article › peer-review

Abstract

Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.

Original language	English
Pages (from-to)	831409
Journal	Computational intelligence and neuroscience
Volume	2011
DOIs	https://doi.org/10.1155/2011/831409
Publication status	Published - 2011

Keywords / Materials (for Non-textual outputs)

Brain
Electroencephalography
Evoked Potentials
Humans
Linear Models
Signal Processing, Computer-Assisted
Software

Access to Document

10.1155/2011/831409

LIMO EEG
Copyright © 2011 Cyril R. Pernet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Final published version, 4.92 MB

http://www.hindawi.com/journals/cin/2011/831409/

ESRC AWARD: FLUENT READING AND THE BRAIN - CO-REGISTRATION AND STATISTICAL DECOMPOSITION OF EYE FIXATION ADN ANATOMICALLY-BASED ELECTROPHYSIOLOGY
Pernet, C. (Principal Investigator)
ESRC
1/10/09 → 30/09/11
Project: Research

LIMO EEG v1.5
Pernet, C. R. (Creator), Rousselet, G. A. (Creator), Chauveau, N. (Creator) & Gaspar, C. (Creator), Edinburgh DataShare, 17 Nov 2016
DOI: 10.7488/ds/1557
Dataset

5 Participation in workshop, seminar, course
1 Invited talk

EEGLAB Workshop 2019
Pernet, C. (Keynote/plenary speaker)
17 Jun 2019 → 21 Jun 2019
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
EEGLAB 2018 Workshop
Pernet, C. (Keynote/plenary speaker)
7 Nov 2018 → 12 Nov 2018
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
LInear Modelling of MEEG data
Pernet, C. (Teacher)
2 Jul 2018
Activity: Academic talk or presentation types › Invited talk

Cite this

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title = "LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data",

abstract = "Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.",

keywords = "Brain, Electroencephalography, Evoked Potentials, Humans, Linear Models, Signal Processing, Computer-Assisted, Software",

author = "Pernet, {Cyril R} and Nicolas Chauveau and Carl Gaspar and Rousselet, {Guillaume A}",

year = "2011",

doi = "10.1155/2011/831409",

language = "English",

volume = "2011",

pages = "831409",

journal = "Computational intelligence and neuroscience",

issn = "1687-5273",

publisher = "Hindawi Publishing Corporation",

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TY - JOUR

T1 - LIMO EEG

T2 - a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data

AU - Pernet, Cyril R

AU - Chauveau, Nicolas

AU - Gaspar, Carl

AU - Rousselet, Guillaume A

PY - 2011

Y1 - 2011

N2 - Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.

AB - Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.

KW - Brain

KW - Electroencephalography

KW - Evoked Potentials

KW - Humans

KW - Linear Models

KW - Signal Processing, Computer-Assisted

KW - Software

U2 - 10.1155/2011/831409

DO - 10.1155/2011/831409

M3 - Article

C2 - 21403915

SN - 1687-5273

VL - 2011

SP - 831409

JO - Computational intelligence and neuroscience

JF - Computational intelligence and neuroscience

ER -

LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

ESRC AWARD: FLUENT READING AND THE BRAIN - CO-REGISTRATION AND STATISTICAL DECOMPOSITION OF EYE FIXATION ADN ANATOMICALLY-BASED ELECTROPHYSIOLOGY

Datasets

LIMO EEG v1.5

Activities

EEGLAB Workshop 2019

EEGLAB 2018 Workshop

LInear Modelling of MEEG data

Cite this