ohba-analysis Goto Github PK
Name: OHBA Analysis Group
Type: Organization
Bio: Public repository for OHBA analysis group code
Location: Oxford Centre for Human Brain Activity, Warneford Hospital, Oxford, UK
Name: OHBA Analysis Group
Type: Organization
Bio: Public repository for OHBA analysis group code
Location: Oxford Centre for Human Brain Activity, Warneford Hospital, Oxford, UK
Code for Abeysuriya et al. "A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks"
OHBA Bayes GLM tutorial
Open CIFTI/GIFTI files and parse associated XML metadata with latest Matlab versions
Mirror repository for EMD package: issue-tracking and development happens at https://gitlab.com/emd-dev/emd
Group Level Exploratory Analysis of Networks
Example scripts for Gohil et al., "Dynamic Network Analysis of Electrophysiological Task Data" (2024).
This repository contains all the files used for the analysis in the paper "Replay bursts in humans coincide with activation of the default mode and parietal alpha networks", Higgins et al Neuron 2020
Toolbox for segmentation and characterisation of transient connectivity
Scripts for the "Modelling subject variability in dynamic functional brain networks using embeddings" manuscript
Stationary network analysis for MEG
Scripts to simulate MEG data
Example scripts used by OHBA
External libraries used by OSL and related OHBA software
Python tool for batch processing Megin Maxfilter processing on fif MEG files
Python tool for generating quality check reports from MEG recordings
OHBA Software Library - MEG/EEG Analysis Tools
Matlab tools for running M/EEG analyses - NO LONGER SUPPORTED - Please use Python Version Instead: https://github.com/OHBA-analysis/osl
Documentation for Matlab OSL - NO LONGER SUPPORTED - Please use Python version instead: https://github.com/OHBA-analysis/osl
Methods for studying dynamic functional brain activity in neuroimaging data.
Tools for performing statistical significance testing.
A collection of parcellations
Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling
Transient event detection with Hidden Markov Models
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
Temporal-Interval Network Density Analysis
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