NeuroAnalyzer roadmap

General

• improve documentation
• better tutorials
• more performance optimizations
• distributed computing for pipelines
• support for MEG data
• improve support for ECoG data
• support for IEEG data
• support for SEEG data
• use eyetracker to detect eye movement and blink artifacts
• use 3D scanner for head mesh, e.g. Polhemus
• use 3D tracker for electrode locations, e.g. Polhemus
• organize data using BIDS standard
• NIBS: TES modelling
• NIBS: removal of TES artifacts from EEG
• NIBS: transcranial focused ultrasound (tFUS)
• NIBS: transcranial infrared laser stimulation (TILS)
• tester: visual / auditory stimuli presentation module (via Raspberry Pi)
• study: distributed computing, multiprocessing
• AMD ROCm / Intel Arc / Apple Metal acceleration

IO

• Fieldtrip import
• more import formats
• more export formats

Edit

• automated channel rejection
• automated epoch rejection
• insert channel

Process

• automated cleaning of artifacts
• REST referencing
• detect artifacts using TKEO
• multitaper: generate frequency-band-selective tapers to increase sensitivity, varying the length of time segments, varying the number of tapers and central frequency of the spectral representation of the tapers
• wavelet-based denoising

Analysis

• reports in .md format (use Pandoc to convert to HTML/ODT/DOCX/PDF)
• amplitude turbulence
• ANOVA test for segments
• beamforming, leakage correction
• CDR: current density reconstruction (GCDR, CDR spectrum), activity within specified band
• compare components
• correlations between components
• cross-frequency phase-amplitude coupling
• dipoles
• frequency bands: medial vs left vs right channels within each band
• FOOOF
• import and process data for EEG source localization
• ML/DL
• neural Granger causality (NGC)
• phase synchronization measurements: weighted PLI, phase coherence (PC), imaginary component of coherency (IC)
• phase-amplitude cross-frequency coupling (PAC)
• power envelope connectivity
• probability maps: the local likelihood of belonging to a given population
• signals/PSD comparison
• source localization
• tensor and other statistical maps (magnitude and direction, probabilistic regions, regions of high vs low variability)
• support for clusterDepth.jl

Plots

• brain topography
• connectome graph
• 3d head/brain plots
• coherence spectrum (y: relative amplitude, x: frequencies)
• ITPC topoplot
• topoplot of which electrode at a given time exhibits statistically significant difference between two signals