EEGLAB Tutorial

Arnaud Delorme And Scott Makeig, February 24, 2004, Copyright, Swartz Center For Computational Neuroscience

Sujets

• Component Object Model
• Channel 4
• Iga Biva
• MATLAB
• MapServer
• Décomposition analytique

Informations

• Publié par: Shauk
• Nombre de lectures: 580
• Langue: English
• Poids de l'ouvrage: 5 Mo

Extrait

EEGLAB Tutorial Arnaud Delorme and Scott Makeig, February 24, 2004 Copyright, Swartz Center for Computational NeuroscienceI. Data Analysis Tutorial Table of Contents I. Data Analysis Tutorial ....................................................................................................................................1 I.1. Loading data and visualizing data information .................................................................................1 I.1.1. Getting started ...................................................................................................................1 I.1.2. Opening an existing dataset ...............................................................................................2 I.1.3. Editing event fields ............................................................................................................3 I.1.4 − values ........................................................................................................5 I.1.5. About this dataset ..............................................................................................................5 I.1.6. Scrolling through the data .................................................................................................6 I.2. Using channel locations ...................................................................................................................11 I.2.1. Importing channel location for the tutorial dataset ..........................................................11 I.2.2. Retrieve standard channel locations ................................................................................16 I.2.3. Importing a measured channel location file ....................................................................17 I.3. Plotting channel spectra and maps ...................................................................................................21 I.4. Preprocessing tools ..........................................................................................................................22 I.4.1. Changing the data sampling rate .....................................................................................22 I.4.2. Filtering the data ..............................................................................................................23 I.4.3. Re−referencing the data ...................................................................................................23 I.5. Extracting data epochs .....................................................................................................................24 I.5.1. Extracting epochs ...........................................................................................................24 I.5.2. Removing baseline values ..............................................................................................25 I.6. Data averaging .................................................................................................................................26 I.6.1. Plotting the ERP data on a single axis with scalp maps ..................................................27 I.6.2. ERP traces in a topographic array ......................................................................28 I.6.3. Plotting ERPs in rectangular array ..................................................................................29 I.6.4. an ERP as a series of maps ................................................................................30 I.7. Selecting data epochs and plotting data averages ............................................................................33 I.7.1. Selecting events and epochs for two conditions ..............................................................33 I.7.2. Computing Grand Mean ERPs ........................................................................................35 I.7.3. Finding ERP peak latencies .............................................................................................37 I.7.4. Comparing ERPs in two conditions ................................................................................38 I.8. Plotting ERP images ........................................................................................................................40 I.8.1. Selecting a channel to plot ...............................................................................................40 I.8.2. Plotting ERP images using pop_erpimage() ....................................................................42 I.8.3. Sorting trials in ERP images ............................................................................................44 I.8.4. Plotting ERP images with spectral options .....................................................................48 I.8.5. spectral amplitude in single trials and additional options ..................................52 I.9. Performing Independent Component Analysis of EEG data ...........................................................54 I.9.1. Running ICA decompositions .........................................................................................54 I.9.2. Plotting 2−D Scalp Maps .............................................................................56 I.9.3. component headplots .........................................................................................58 I.9.4. Studying and removing ICA components .......................................................................59 I.9.5. Subtracting ICA components from data ..........................................................................64 I.9.6. Retaining multiple ICA weights in a dataset ...................................................................65 I.9.7. Scrolling through component activations ........................................................................65 I.10. Working with ICA components .....................................................................................................66 I.10.1. Rejecting data epochs by inspection using ICA ............................................................66 I.10.2. Plotting component spectra and maps ...........................................................................68 I.10.3. ERPs ..............................................................................................70 1II. Importing/exporting data and event or epoch information into EEGLAB Table of Contents I. Data Analysis Tutorial I.10.4. Plotting component ERP contributions .........................................................................71 I.10.5. Component ERP−image plotting ...................................................................................74 I.11. Time/frequency decomposition .....................................................................................................76 I.11.1. Decomposing channel data ............................................................................................76 I.11.2. Computing component time/frequency transforms .......................................................78 I.11.3. cross−coherences .....................................................................79 I.11.4. Plotting ERSP time course and topography ..................................................................81 II. Importing/exporting data and event or epoch information into EEGLAB ............................................82 II.1. Importing continuous data ..............................................................................................................82 II.1.1. Importing a Matlab array ...............................................................................................82 II.1.2. Biosemi .BDF files ........................................................................................83 II.1.3. Importing European data format .EDF files ...................................................................84 II.1.4. EGI .RAW continuous files ..........................................................................84 II.1.5. Importing Neuroscan .CNT continuous files .................................................................84 II.1.6. .DAT information files ................................................................86 II.1.7. Importing Snapmaster .SMA files ..................................................................................87 II.1.8. ERPSS .RAW or .RDF data files ..................................................................87 II.1.9. Importing data in other data formats ..............................................................................87 II.2. Importing event information for a continuous EEG dataset ..........................................................87 II.2.1. Importing events from a data channel ............................................................................88 II.2.2. a Matlab array or text file ..........................................................88 II.2.3. Importing events from a Presentation file ......................................................................90 II.3. Importing sets of single−trial EEG epochs into EEGLAB ............................................................91 II.3.1. Importing .RAW EGI data epoch files ...........................................................................91 II.3.2. Neuroscan .EEG data epoch files ..................................................................92 II.3.3. Importing epoch info Matlab array or text file into EEGLAB .......................................92 II.4. Importing sets of data averages into EEGLAB ..............................................................................95 II.4.1. Importing data into Matlab .............................................................................................95 II.4.2. Concatenating data averages ..........................................................................................95 II.4.3. Importing concatenated data averages in E