Pages tagged with "eeg"
- Align EEG electrode positions to BEM headmodel
- Analysis of high-gamma band signals in human ECoG
- Analysis of human ECoG and sEEG recordings
- Analysis of monkey ECoG recordings
- Beamforming evoked fields and potentials in combined MEG/EEG data
- Beamforming oscillatory responses in combined MEG/EEG data
- Can I compare EEG channels between different electrode caps?
- Can I do combined EEG and MEG source reconstruction?
- Classification of event-related MEG data using MVPA-Light
- Cleaning and processing resting-state EEG
- Cluster-based permutation tests on event-related fields
- Cluster-based permutation tests on resting-state EEG power spectra
- Cluster-based permutation tests on time-frequency data
- Combined EEG and MEG source reconstruction
- Compute EEG leadfields using a FEM headmodel
- Compute forward simulated data and apply a dipole fit
- Compute forward simulated data using ft_dipolesimulation
- Compute forward simulated data with the low-level ft_compute_leadfield
- Convert the EEG language dataset for sharing in BIDS
- Convert the EEG sedation dataset for sharing in BIDS
- Creating a BEM volume conduction model of the head for source reconstruction of EEG data
- Creating a FEM volume conduction model of the head for source reconstruction of EEG data
- Creation of headmodels and sourcemodels for source reconstruction
- Dealing with artifacts
- Dealing with TMS-EEG datasets
- Description of the auditory oddball MEG+EEG dataset
- Details on the EEG language dataset
- Details on the resting-state EEG dataset recorded with different sedation levels
- Dipole fitting of combined MEG/EEG data
- Example analysis pipeline for Biosemi data
- Extracting the brain state and events from continuous sleep EEG
- FieldTrip tutorial at CuttingEEG 2021 in Aix-en-Provence
- FieldTrip Walkthrough
- FieldTrip workshop in Madrid
- FieldTrip workshop in Oslo
- Forward modeling for EEG source reconstruction
- Fourier analysis of neuronal oscillations and synchronization
- Getting started with 20%, 10% and 5% electrode arrangements
- Getting started with ASA and EEProbe
- Getting started with BioImage Suite
- Getting started with Biosemi BDF data
- Getting started with BrainVision Analyzer and Easycap
- Getting started with EDF (European Data Format) data
- Getting started with EEG data, quality checks and ERPs
- Getting started with EEGLAB
- Getting started with EGI/Philips/Magstim data
- Getting started with human ECoG data
- Getting started with LIMO MEEG
- Getting started with MNE(-python)
- Getting started with Nicolet data
- Getting started with reading raw EEG or MEG data
- Getting started with TMSi data
- Group-level statistics with parametric and non-parametric methods
- How are electrodes, magnetometers or gradiometers described?
- How can I inspect the electrode impedances of my data?
- How can I merge two datasets that were acquired simultaneously with different amplifiers?
- How do I install the OpenMEEG binaries
- How is the segmentation defined?
- How should I specify the fiducials for electrode realignment?
- How to coregister an anatomical MRI with the gradiometer or electrode positions?
- I have problems reading in neuroscan .cnt files. How can I fix this?
- Importing your data
- Introduction on dealing with artifacts
- Introduction to the FieldTrip toolbox
- Is it important to have accurate measurements of electrode locations for EEG source reconstruction?
- Making a synchronous movie of EEG or NIRS combined with video recordings
- Multimodal faces dataset
- Parametric and non-parametric statistics on event-related fields
- PracticalMEEG workshop in Aix-en-Provence
- Preprocessing - Reading continuous EEG and MEG data
- Preprocessing and event-related activity in combined MEG/EEG data
- Preprocessing and event-related potentials in EEG data
- Preprocessing of EEG data and computing ERPs
- Preprocessing raw data and computing ERPs/ERFs
- Re-reference EEG and iEEG data
- Reconstructing source activity using beamformers
- References to implemented methods
- Specifying the channel layout for plotting
- Statistical analysis and multiple comparison correction for combined MEG/EEG data
- Statistical analysis and multiple comparison correction for EEG data
- Streaming realtime data from Modular EEG (aka OpenEEG)
- Testing BEM created EEG lead fields
- Time-frequency analysis of combined MEG/EEG data
- Time-frequency analysis of EEG data
- Time-frequency analysis on short and long timescales
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Time-frequency analysis using Hanning window, multitapers and wavelets
- Time-frequency and spectral analysis
- Use your own forward leadfield model in an inverse beamformer computation
- Using General Linear Modeling on time series data
- Using General Linear Modeling over trials
- Which datasets are used in the documentation and where are they used?
- Why is FieldTrip developed separately from EEGLAB?
- Why should I use an average reference for EEG source reconstruction?