app-forward-v2

Computes an MEG/EEG forward solution (lead-field matrix) using MNE-Python.

Overview

The forward solution maps from source space (dipoles on the cortical surface) to sensor space (MEG/EEG channels). It requires a pre-computed source space (src.fif), a coregistration transform (trans.fif), and a BEM solution (bem-sol.fif).

Inputs

Input	Datatype	Config key	Required	Description
Sensor data	meeg/mne/evoked, meeg/mne/epochs, or meeg/mne/raw	evoked / epochs / raw	Yes (one of)	Provides channel info and projectors. If multiple provided, most downstream used: evoked > epochs > raw
Source space	raw source_space	src	Yes	From app-source-space-v2
Trans	meeg/mne/trans	trans	Yes	Coregistration transform from app-coreg-v2
BEM	meg/fif	bem	Yes	BEM solution from app-bem-v2

Output

File	Description
out_dir/forward-fwd.fif	Forward solution (lead-field matrix)

Configuration

Parameter	Type	Default	Description
mindist	number	5.0	Min distance (mm) from sources to inner skull. Removes sources too close to boundary.

Pipeline Position

app-source-space-v2  →  src.fif   ─┐
app-coreg-v2         →  trans.fif  ├→  app-forward-v2  →  forward-fwd.fif
app-bem-v2           →  bem.fif   ─┘
epochs / evoked / raw ─────────────┘

Fallback

• EEG only + no trans/BEM: sphere head model (less accurate)
• MEG + no trans/BEM: fatal error

Container

docker://aunnikri642/app-freesurfer-mne-source-recon (MNE 1.11)