OHBA Analysis Group's repositories
osl-dynamics
Methods for studying dynamic functional brain activity in neuroimaging data.
Quinn2018_TaskHMM
Task-Evoked Dynamic Network Analysis through Hidden Markov Modelling
MEG-ROI-nets
Stationary network analysis for MEG
Quinn2021_Waveform
Analysis scripts accompanying "Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics" https://doi.org/10.1101/2021.04.12.439547
Quinn2019_BurstHMM
Transient event detection with Hidden Markov Models
abeysuriya_wc_isp
Code for Abeysuriya et al. "A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks"
bayes_tutorial
OHBA Bayes GLM tutorial
Higgins2020_Neuron
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
emd-mirror
Mirror repository for EMD package: issue-tracking and development happens at https://gitlab.com/emd-dev/emd
Gohil2024_NetworkAnalysisOfTaskData
Example scripts for Gohil et al., "Dynamic Network Analysis of Electrophysiological Task Data" (2024).
ohba-external
External libraries used by OSL and related OHBA software
parcellations
A collection of parcellations
Huang2024_ModelVariabilityWithEmbeddings
Scripts for the "Modelling subject variability in dynamic functional brain networks using embeddings" manuscript
meg-simulation
Scripts to simulate MEG data
OHBA-Examples
Example scripts used by OHBA
ohba_maxfilter
Python tool for batch processing Megin Maxfilter processing on fif MEG files
ohba_meg_qc
Python tool for generating quality check reports from MEG recordings
osl-stats
Tools for performing statistical significance testing.
Trubshaw2024_NeurodegenerativeDisorders
Analysis scripts for reproducing the results in (Trubshaw, 2024).