diff --git a/examples/example-0.8-leadfield-matrix.ipynb b/examples/example-0.8-leadfield-matrix.ipynb new file mode 100644 index 00000000..2dd9ec45 --- /dev/null +++ b/examples/example-0.8-leadfield-matrix.ipynb @@ -0,0 +1,486 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Computation of the lead-field matrix\n", + "\n", + "The lead-field matrix is a mathematical representation that describes the relationship between the electrical activity generated by neural sources in the brain and the resulting electrical measurements observed on the scalp's surface during EEG recordings.\n", + "\n", + "The focus in this Notebook is on constructing a lead-field matrix that corresponds to the Automated Anatomical Labeling 2 (AAL2) atlas, a widely used brain parcellation scheme that divides the brain into regions based on anatomical landmarks. This atlas provides a comprehensive map of brain regions, allowing to associate EEG measurements with specific anatomical structures.\n", + "\n", + "We utilized the standard 1020 EEG electrode configuration, which is a well-established system for scalp EEG recordings, involves employing a specific arrangement of electrode placement points on the scalp. By aligning the Automated Anatomical Labeling 2 (AAL2) atlas with the 1020 EEG electrode configuration, the primary aim of this Notebook is to establish a direct link between distinct brain regions defined by the AAL2 atlas and the specific EEG recording channels." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Authors: Mohammad Orabe \n", + "# Zixuan liu \n", + "# \n", + "# change to the root directory of the project\n", + "import os\n", + "\n", + "if os.getcwd().split(\"/\")[-1] == \"examples\":\n", + " os.chdir(\"..\")\n", + "\n", + "# This will reload all imports as soon as the code changes\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from importlib import import_module\n", + "import subprocess\n", + "import sys\n", + "\n", + "named_libs = [\n", + " (\"matplotlib.pyplot\", \"plt\"),\n", + " (\"nibabel\", \"nib\"),\n", + " (\"mne\", \"mne\"),\n", + " (\"neurolib\", \"neurolib\"),\n", + "]\n", + "\n", + "for name, short in named_libs:\n", + " try:\n", + " globals()[short] = import_module(name)\n", + " except ImportError:\n", + " subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", name])\n", + " globals()[short] = import_module(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from neurolib.utils.leadfield import LeadfieldGenerator\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "subject = \"fsaverage\"\n", + "\n", + "atlas_xml_path = os.path.join(\n", + " \"examples\", \"data\", \"AAL2_atlas_data\", \"AAL2.xml\"\n", + ") # Load the NIfTI file of the AAL2 atlas\n", + "\n", + "atlas_nii_path = os.path.join(\n", + " \"examples\", \"data\", \"AAL2_atlas_data\", \"AAL2.nii\"\n", + ") # Load the XML file of the AAL2 atlas.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Download and load the data\n", + "Download the template MRI \"fsaverage\", user-specific data can replace the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 files missing from root.txt in /home/ben/mne_data/MNE-fsaverage-data\n", + "0 files missing from bem.txt in /home/ben/mne_data/MNE-fsaverage-data/fsaverage\n", + "Load template data 'fsaverage'\n", + "Load default transformation file of 'fsaverage'\n" + ] + } + ], + "source": [ + "object = LeadfieldGenerator(subject)\n", + "object.load_data(subjects_dir=None, subject=subject)\n", + "object.load_transformation_file(trans_path=None, subject=subject)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set conductivity of tissues and compute BEM\n", + "Setting conductivity based on the type of the tissues, calculate the BEM of the data, further visualize BEM surfaces." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating the BEM geometry...\n", + "Going from 5th to 4th subdivision of an icosahedron (n_tri: 20480 -> 5120)\n", + "Going from 5th to 4th subdivision of an icosahedron (n_tri: 20480 -> 5120)\n", + "Going from 5th to 4th subdivision of an icosahedron (n_tri: 20480 -> 5120)\n", + "outer skin CM is -0.21 -19.38 -0.23 mm\n", + "outer skull CM is -0.19 -19.34 -0.49 mm\n", + "inner skull CM is -0.53 -21.10 6.21 mm\n", + "Checking that surface outer skull is inside surface outer skin ...\n", + "Checking that surface inner skull is inside surface outer skull ...\n", + "Checking distance between outer skin and outer skull surfaces...\n", + "Minimum distance between the outer skin and outer skull surfaces is approximately 1.6 mm\n", + "Checking distance between outer skull and inner skull surfaces...\n", + "Minimum distance between the outer skull and inner skull surfaces is approximately 5.4 mm\n", + "Surfaces passed the basic topology checks.\n", + "Complete.\n", + "\n", + "Three-layer model surfaces loaded.\n", + "Computing the linear collocation solution...\n", + " Matrix coefficients...\n", + " outer skin (2562) -> outer skin (2562) ...\n", + " outer skin (2562) -> outer skull (2562) ...\n", + " outer skin (2562) -> inner skull (2562) ...\n", + " outer skull (2562) -> outer skin (2562) ...\n", + " outer skull (2562) -> outer skull (2562) ...\n", + " outer skull (2562) -> inner skull (2562) ...\n", + " inner skull (2562) -> outer skin (2562) ...\n", + " inner skull (2562) -> outer skull (2562) ...\n", + " inner skull (2562) -> inner skull (2562) ...\n", + " Inverting the coefficient matrix...\n", + "IP approach required...\n", + " Matrix coefficients (homog)...\n", + " inner skull (2562) -> inner skull (2562) ...\n", + " Inverting the coefficient matrix (homog)...\n", + " Modify the original solution to incorporate IP approach...\n", + " Combining...\n", + " Scaling...\n", + "Solution ready.\n", + "BEM geometry computations complete.\n", + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/inner_skull.surf\n", + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/outer_skull.surf\n", + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/outer_skin.surf\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ben/anaconda3/envs/mne_py39/lib/python3.9/site-packages/mne/viz/utils.py:151: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " (fig or plt).show(**kwargs)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bem, plot_bem_kwargs_default = object.build_BEM(\n", + " conductivity=(0.3, 0.006, 0.3),\n", + " visualization=True,\n", + " brain_surfaces=\"white\",\n", + " orientation=\"coronal\",\n", + " slices=[50, 100, 150, 200],\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate surface source space\n", + "The method to achieve AAL atlas source space is to calculate the average dipole value of all dipoles in each annotation of the atlas, so at first place, the surface source space needed to be generated. The data \"fsaverage\" has a pre build-up surface source space, nevertheless, the source space can also be calculated." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/inner_skull.surf\n", + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/outer_skull.surf\n", + "Using surface: /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/outer_skin.surf\n", + " Reading a source space...\n", + " [done]\n", + " Reading a source space...\n", + " [done]\n", + " 2 source spaces read\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ben/anaconda3/envs/mne_py39/lib/python3.9/site-packages/mne/viz/utils.py:151: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", + " (fig or plt).show(**kwargs)\n" + ] + } + ], + "source": [ + "src = object.generate_surface_source_space(\n", + " plot_bem_kwargs_default, spacing=\"ico4\", add_dist=\"patch\", visualization=True\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load and coregistrate standard EEG configuration\n", + "The standard 1020 EEG electrode locations are already calculated in fsaverage's space (MNI space)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Extracting EDF parameters from /home/ben/mne_data/MNE-eegbci-data/files/eegmmidb/1.0.0/S001/S001R06.edf...\n", + "EDF file detected\n", + "Setting channel info structure...\n", + "Creating raw.info structure...\n", + "Reading 0 ... 19999 = 0.000 ... 124.994 secs...\n", + "EEG channel type selected for re-referencing\n", + "Adding average EEG reference projection.\n", + "1 projection items deactivated\n", + "Average reference projection was added, but has not been applied yet. Use the apply_proj method to apply it.\n" + ] + } + ], + "source": [ + "raw = object.EEG_coregistration(src, configuration=\"standard_1020\", visualization=False)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Calculate the general forward solution\n", + "The overall forward solution between surface source model and standard EEG montage is computed" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Source space : /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/fsaverage-ico-5-src.fif\n", + "MRI -> head transform : /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/fsaverage-trans.fif\n", + "Measurement data : instance of Info\n", + "Conductor model : instance of ConductorModel\n", + "Accurate field computations\n", + "Do computations in head coordinates\n", + "Free source orientations\n", + "\n", + "Reading /home/ben/mne_data/MNE-fsaverage-data/fsaverage/bem/fsaverage-ico-5-src.fif...\n", + "Read 2 source spaces a total of 20484 active source locations\n", + "\n", + "Coordinate transformation: MRI (surface RAS) -> head\n", + " 0.999994 0.003552 0.000202 -1.76 mm\n", + " -0.003558 0.998389 0.056626 31.09 mm\n", + " -0.000001 -0.056626 0.998395 39.60 mm\n", + " 0.000000 0.000000 0.000000 1.00\n", + "\n", + "Read 64 EEG channels from info\n", + "Head coordinate coil definitions created.\n", + "Source spaces are now in head coordinates.\n", + "\n", + "Employing the head->MRI coordinate transform with the BEM model.\n", + "BEM model instance of ConductorModel is now set up\n", + "\n", + "Source spaces are in head coordinates.\n", + "Checking that the sources are inside the surface and at least 5.0 mm away (will take a few...)\n", + "Checking surface interior status for 10242 points...\n", + " Found 2433/10242 points inside an interior sphere of radius 47.7 mm\n", + " Found 0/10242 points outside an exterior sphere of radius 98.3 mm\n", + " Found 0/ 7809 points outside using surface Qhull\n", + " Found 0/ 7809 points outside using solid angles\n", + " Total 10242/10242 points inside the surface\n", + "Interior check completed in 1602.6 ms\n", + "Checking surface interior status for 10242 points...\n", + " Found 2241/10242 points inside an interior sphere of radius 47.7 mm\n", + " Found 0/10242 points outside an exterior sphere of radius 98.3 mm\n", + " Found 0/ 8001 points outside using surface Qhull\n", + " Found 0/ 8001 points outside using solid angles\n", + " Total 10242/10242 points inside the surface\n", + "Interior check completed in 1642.3 ms\n", + "\n", + "Setting up for EEG...\n", + "Computing EEG at 20484 source locations (free orientations)...\n", + "\n", + "Finished.\n", + "The general forward solution: \n", + "=====================================================\n" + ] + } + ], + "source": [ + "fwd = object.calculate_general_forward_solution(raw, src, bem, eeg=True, mindist=5.0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Downsample the forward solution to achieve lead-field matrix\n", + "With the forward solution that being calculated above, compute the average dipole value of the dipoles in each AAL atlas to acquire the lead-field matrix.\n", + "\n", + " This part is majorly the contribution from Dr Nikola Jajcay and Martin Krück" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " No patch info available. The standard source space normals will be employed in the rotation to the local surface coordinates....\n", + " Changing to fixed-orientation forward solution with surface-based source orientations...\n", + " [done]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Atlas doesn't start at 0, reindexing...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lead-field matrix's size : 64 sensors x 80 dipoles\n", + "=====================================================\n", + "Downsampled lead-field matrix: [[ 46.0499115 -8.10420036 51.77446747 ... -2.94830823 -23.09635735\n", + " -19.40752983]\n", + " [ 63.07761765 -3.93809652 81.55727386 ... -4.3759985 -29.43257332\n", + " -22.51317406]\n", + " [ 45.61634445 4.58903265 83.16187286 ... -5.45599174 -29.02531624\n", + " -24.48542023]\n", + " ...\n", + " [-17.10632133 -12.98373508 -18.83823586 ... -17.25921631 6.94994116\n", + " 5.47431898]\n", + " [-17.82714272 -12.14234829 -22.45002937 ... -18.51730156 3.97969389\n", + " 17.09500885]\n", + " [-18.07602882 -14.23802567 -20.28145409 ... -16.23429108 19.68803215\n", + " 16.43236351]]\n", + "=====================================================\n" + ] + } + ], + "source": [ + "leadfield_downsampled, unique_labels = object.compute_downsampled_leadfield(\n", + " fwd,\n", + " atlas_nii_path=atlas_nii_path,\n", + " atlas_xml_path=atlas_xml_path,\n", + " atlas=\"aal2_cortical\",\n", + " cortex_parts=\"only_cortical_parts\",\n", + " path_to_save=None,\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Investigation of the missing regions of AAL atlas\n", + "Can be implemented if the downsample lead-field matrix does possess not an anticipated size." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:root:Atlas doesn't start at 0, reindexing...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total region quantity: 120\n", + "missed region quantity: 40\n", + "=====================================================\n", + "missed region labels: [4101 4102 4111 4112 4201 4202 7001 7002 7011 7012 7021 7022 7101 7102\n", + " 9001 9002 9011 9012 9021 9022 9031 9032 9041 9042 9051 9052 9061 9062\n", + " 9071 9072 9081 9082 9100 9110 9120 9130 9140 9150 9160 9170]\n", + "=====================================================\n", + "missed region names: ['Hippocampus_L', 'Hippocampus_R', 'ParaHippocampal_L', 'ParaHippocampal_R', 'Amygdala_L', 'Amygdala_R', 'Caudate_L', 'Caudate_R', 'Putamen_L', 'Putamen_R', 'Pallidum_L', 'Pallidum_R', 'Thalamus_L', 'Thalamus_R', 'Cerebelum_Crus1_L', 'Cerebelum_Crus1_R', 'Cerebelum_Crus2_L', 'Cerebelum_Crus2_R', 'Cerebelum_3_L', 'Cerebelum_3_R', 'Cerebelum_4_5_L', 'Cerebelum_4_5_R', 'Cerebelum_6_L', 'Cerebelum_6_R', 'Cerebelum_7b_L', 'Cerebelum_7b_R', 'Cerebelum_8_L', 'Cerebelum_8_R', 'Cerebelum_9_L', 'Cerebelum_9_R', 'Cerebelum_10_L', 'Cerebelum_10_R', 'Vermis_1_2', 'Vermis_3', 'Vermis_4_5', 'Vermis_6', 'Vermis_7', 'Vermis_8', 'Vermis_9', 'Vermis_10']\n", + "=====================================================\n", + "missed region index: [ 41 42 43 44 45 46 75 76 77 78 79 80 81 82 95 96 97 98\n", + " 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116\n", + " 117 118 119 120]\n", + "=====================================================\n" + ] + } + ], + "source": [ + "object.check_atlas_missing_regions(\n", + " atlas_xml_path=atlas_xml_path, unique_labels=unique_labels\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +}