{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Basic usage\n", "\n", "In this tutorial, we illustrate the basic usage of the toolbox to simulate MEG/EEG. We show how to simulate data with \"ground truth\" effects and, then test whether a decoding analysis can successfully detect those effects. This guides new users through the typical workflow: defining an experimental design, specifying when each effect should be present in time, generating data, and finally verifying that a chosen analysis pipeline can uncover the artificially injected effects.\n", "\n", "Below, we walk through a minimal but representative example of a 2x2 experimental design" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Defining an Experimental Design\n", "\n", "Imagine we have a simple 2x2 experimental design, in which we present trials of 2 different categories (say faces and objects) displayed in two different attention condition (attended vs. unattended condition). In each attention condition, we present 40 faces and 40 objects, resulting in a total of 160 trials. Our design matrix has 160 rows (1 per trial) and 2 columns: \n", "\n", "| Category | Attention |\n", "| -------- | ------- |\n", "| face | attended |\n", "| face | unattended |\n", "| object| attended |\n", "| object| unattended |\n", "| ...| ... |\n", "\n", "In this design matrix, we encode each condition as 1 and -1 (face: 1, object: -1, attended: 1, unattended: -1). The toolbox requires the design matrix to be a pandas data frame" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "# Creating the design matrix of our 2 by two balanced design:\n", "X = np.array([[1, 1, -1, -1] * 40, [1, -1] * 80]).T\n", "\n", "# Add descriptors:\n", "cond_names = [\"category\", \"attention\"]\n", "X = pd.DataFrame(X, columns=cond_names) # Add a column for the interaction between category and attention\n", "mapping = {\n", " \"category\": {1: \"face\", -1: \"object\"},\n", " \"attention\": {1: \"attended\", -1: \"unattended\"},\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Specifying multivariate effects in the data\n", "\n", "To specify an effect, we need to create a dictionary that specifies:\n", "\n", "- condition: the name of the experimental condition it corresponds to (matching the column name of your design matrix)\n", "- The time window at which it is present\n", "- The size of the effect\n", "\n", "Below, we specify a multivariate effect of category from 0.1 to 0.2s and an effect of attention from 0.3 to 0.5s, each with an effect size of 0.5" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "category_effect = {\n", " \"condition\": 'category',\n", " \"windows\": [0.1, 0.2],\n", " \"effect_size\": 0.5\n", "}\n", "\n", "attention_effect = {\n", " \"condition\": 'attention',\n", " \"windows\": [0.3, 0.4],\n", " \"effect_size\": 0.5\n", "}\n", "\n", "effects = [category_effect, attention_effect] # Packaging them in a list to pass to the simulator class" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Specifying the characteristics of the data\n", "\n", "Next, we need to specify the characteristics of the data:\n", "\n", "- n_channels: the number of channels of the MEG/EEG recordings we plan to analyze\n", "- sfreq: the sampling frequency of our signal\n", "- n_subjects: the number of subjects for our virtual data set\n", "- s: observation noise\n", "- ch_cov: the spatial covariance of the data we want to simulate\n", "\n", "The aim of this toolbox is to simulate data with known ground truth effect to validate your analysis pipelines capacity to detect effects in your real data. It is important to specify parameters that match your actual data to make sure that the results you obtain on simulated data will generalize to your real data: same number of channels, same number of subjects. We also strongly recommend that the observation noise and spatial covariance matches your actual data.\n", "\n", "For illustrations' sake, let's say we are working with an EEG system recording **32 channels** and that we collected **20 participants**. We specify an identity covariance matrix and set the observation noise to 0.5." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "n_channels = 32 # EEG system with 32 electrodes\n", "n_subjects = 20 # Recording from 20 subjects\n", "noise_std = 1 / 2 # Variance of the data\n", "ch_cov = None # Assuming that the data of each sensor are independent\n", "sfreq = 50 # Simulating data at 50Hz" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Simulating the data\n", "\n", "We can simulate the data by passing all the parameters we have specified to teh simulator function. We also show how to convert the data to MNE format to make use of their decoding pipelines. We also show how to export to EEG lab is this is your preferred toolbox." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Subjects : 20\n", "Epochs : 160\n", "Samples : 61\n", "Channels : 32\n", "Conditions: 2 (category, attention)\n" ] } ], "source": [ "from multisim import Simulator\n", "\n", "sims = Simulator(\n", " X, # Design matrix\n", " effects, # effects to simulate\n", " noise_std, # Observation noise\n", " n_channels, # Number of channelss\n", " n_subjects, # Number of subjects\n", " -0.25,\n", " 1.0, # Start and end of epochs\n", " sfreq, # Sampling frequency of the data\n", " ch_cov=ch_cov, # Spatial covariance of the data\n", ")\n", "print(sims)\n", "\n", "# Convert to MNE epochs:\n", "epochs = sims.export_to_mne(X=X.copy(), mapping=mapping)\n", "\n", "# Alternatively, save to eeglab format\n", "sims.export_to_eeglab(\n", " X=X.copy(),\n", " mapping=mapping,\n", " root=\"./data\",\n", " fname_template=\"sub-{:02d}_task-sim-epo.set\",\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Vizualizing the data:\n", "\n", "We can have a quick look at our simulated data. It won't look like much, given that we have simulated multivariate effects without much else at all. It won't look like actual MEG/EEG data:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Not setting metadata\n", "160 matching events found\n", "No baseline correction applied\n", "0 projection items activated\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\alexander.lepauvre\\AppData\\Local\\Temp\\ipykernel_29940\\238737532.py:1: RuntimeWarning: Cannot find channel coordinates in the supplied Evokeds. Not showing channel locations.\n", " epochs[0].plot_image(picks=[0], scalings=dict(eeg=1));\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "epochs[0].plot_image(picks=[0], scalings=dict(eeg=1));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Decoding analysis\n", "\n", "Once you have simulated the data, you can validate your pipeline by running it on the simulated data to make sure that the effects you know to be present are detected. To illustrate it, we use the standard MNE decoding pipeline to decode the simulated effects in a time resolved fashion.\n", "\n", "### 6.1. Within subject analysis:\n", "We can try to decode each of the labels of interest (face vs. objects and attended vs. unattended) for a given subject and we will see that these effects are present at the expected time points:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Sensor space decoding')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from sklearn.svm import SVC\n", "from sklearn.pipeline import make_pipeline\n", "from sklearn.preprocessing import StandardScaler\n", "from mne.decoding import SlidingEstimator, cross_val_multiscore\n", "\n", "# Create the classifier:\n", "clf = make_pipeline(StandardScaler(), SVC())\n", "\n", "# Time resolved\n", "time_decod = SlidingEstimator(clf, n_jobs=None, scoring=\"accuracy\", verbose=True)\n", "\n", "# Extract the data:\n", "data = epochs[0].get_data()\n", "\n", "# Decode faces vs. objects:\n", "cate_lbl = np.array([mapping[\"category\"][val] for val in X.to_numpy()[:, 0]])\n", "scores_category = np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, cate_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", ")\n", "\n", "# Decode attended vs. unattended:\n", "att_lbl = np.array([mapping[\"attention\"][val] for val in X.to_numpy()[:, 1]])\n", "scores_attention = np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, att_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", ")\n", "\n", "# Plot\n", "fig, ax = plt.subplots()\n", "ax.plot(epochs[0].times, scores_category, label=\"category\")\n", "ax.plot(epochs[0].times, scores_attention, label=\"attention\")\n", "ax.axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax.set_xlim([epochs[0].times[0], epochs[0].times[-1]])\n", "ax.set_xlabel(\"Times\")\n", "ax.set_ylabel(\"AUC\") # Area Under the Curve\n", "ax.legend()\n", "ax.axvline(0.0, color=\"k\", linestyle=\"-\")\n", "ax.set_title(\"Sensor space decoding\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 6.2. Group level analysis\n", "We simulated the data of 20 subjects, so we can investigate the evidence for decoding of the experimental manipulations at the group level. First, we need to perform the decoding on every single subject:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from mne.stats import permutation_cluster_1samp_test, bootstrap_confidence_interval\n", "\n", "scores_category = []\n", "scores_attention = []\n", "\n", "# Loop through each subject:\n", "for epo in epochs:\n", " # Extract the data:\n", " data = epo.get_data()\n", " # Classification of category\n", " scores_category.append(\n", " np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, cate_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", " )\n", " )\n", " # Classification of attention:\n", " scores_attention.append(\n", " np.mean(\n", " cross_val_multiscore(\n", " time_decod, data, att_lbl, cv=5, n_jobs=-1, verbose=\"WARNING\"\n", " ),\n", " axis=0,\n", " )\n", " )\n", "\n", "scores_category = np.array(scores_category)\n", "scores_attention = np.array(scores_attention)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then apply a cluster based permutation test across subjects to find out when we have an effect:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Using a threshold of 1.729133\n", "stat_fun(H1): min=-2.6161570429823144 max=4.157870392729192\n", "Running initial clustering …\n", "Found 4 clusters\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0dd36baec2284d4b9ebd4f50d7174da0", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | Permuting : 0/1023 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compute the confidence intervals:\n", "ci_low_cate, ci_up_cate = bootstrap_confidence_interval(scores_category)\n", "ci_low_att, ci_up_att = bootstrap_confidence_interval(scores_attention)\n", "\n", "fig, ax = plt.subplots()\n", "ax.plot(epochs[0].times, np.mean(scores_category, axis=0), label=\"category\", color=\"b\")\n", "ax.fill_between(epochs[0].times, ci_low_cate, ci_up_cate, alpha=0.3, color=\"b\")\n", "ax.plot(\n", " epochs[0].times[sig_mask_cate],\n", " np.ones(np.sum(sig_mask_cate)) * 0.4,\n", " marker=\"o\",\n", " linestyle=\"None\",\n", " color=\"b\",\n", ")\n", "\n", "ax.plot(\n", " epochs[0].times, np.mean(scores_attention, axis=0), label=\"attention\", color=\"g\"\n", ")\n", "ax.fill_between(epochs[0].times, ci_low_att, ci_up_att, alpha=0.3, color=\"g\")\n", "ax.plot(\n", " epochs[0].times[sig_mask_att],\n", " np.ones(np.sum(sig_mask_att)) * 0.4,\n", " marker=\"o\",\n", " linestyle=\"None\",\n", " color=\"g\",\n", ")\n", "ax.axhline(0.5, color=\"k\", linestyle=\"--\", label=\"chance\")\n", "ax.set_xlim([epochs[0].times[0], epochs[0].times[-1]])\n", "ax.set_xlabel(\"Times\")\n", "ax.set_ylabel(\"AUC\")\n", "ax.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Just as one would expect, we find significant decoding in the expected time windows. This makes designing decoding analysis (or any multivariate techniques such as RSA) very easy, as one can be sure that mistakes crept in, and that the pipeline is sensitive and specific enough\n", "\n", "In the next tutorial, we will explore how to make the temporal dynamics of the multivariate signal more realistic, by adding a temporal kernel to our effect" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.13.0" } }, "nbformat": 4, "nbformat_minor": 2 }