NeuroAnalyzer roadmap

General

• separate plot_*() into plot_*_cont() and plot_epoch_*()
• update tutorials
• better documentation
• replace Gtk.jl with Gtk4.jl
• consider replacing Plots.jl with Makie.jl
• support for NeuroAnalyzer.STUDY object
• more performance optimizations
• distributed computing for pipelines
• improve support for MEG data
• improve support for ECoG data
• improve support for NIRS 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 – should this be internal or external?
• NeuroStim: TES modeling
• NeuroStim: removal of TES artifacts from EEG
• NeuroStim: transcranial focused ultrasound (tFUS)
• NeuroStim: transcranial infrared laser stimulation (TILS)
• NeuroTester: 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
• NWB:
  • check .TSV naming scheme
  • check .JSON naming scheme
  • check how mixed (EEG/IEEG/SEEG) recording is handled
  • check STIMULI vs EVENTS

Edit

• automated channel rejection
• automated epoch rejection
• insert channel

Process

• automated cleaning of artifacts
• REST referencing
• 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

Analysis

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

Plots

• fix: do not plot deleted NIRS channels
• click on the component to select it in iplot_icatopo()
• click on the PSD to enlarge it in plot_psd(type=:topo)
• brain/head mesh in plot_locs3d()
• improve plot_locs() for NIRS
• brain topography
• connectome graph
• 3d head/brain surface plots
• coherence spectrum (y: relative amplitude, x: frequencies)
• ITPC topoplot
• plot OBJ + component