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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/02_decoding/plot_haxby_stimuli.html">Show stimuli of Haxby et al. dataset</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/02_decoding/plot_haxby_multiclass.html">The haxby dataset: different multi-class strategies</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/02_decoding/plot_haxby_full_analysis.html">ROI-based decoding analysis in Haxby et al. dataset</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_inverse_covariance_connectome.html">Computing a connectome with sparse inverse covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_probabilistic_atlas_extraction.html">Extracting signals of a probabilistic atlas of functional regions</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_multi_subject_connectome.html">Group Sparse inverse covariance for multi-subject connectome</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_seed_to_voxel_correlation.html">Producing single subject maps of seed-to-voxel correlation</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_compare_decomposition.html">Deriving spatial maps from group fMRI data using ICA and Dictionary Learning</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_extract_regions_dictlearning_maps.html">Regions extraction using dictionary learning and functional connectomes</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_atlas_comparison.html">Comparing connectomes on different reference atlases</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_group_level_connectivity.html">Classification of age groups using functional connectivity</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_signal_extraction.html">Extracting signals from a brain parcellation</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/03_connectivity/plot_sphere_based_connectome.html">Extract signals on spheres and plot a connectome</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/04_glm_first_level/plot_spm_multimodal_faces.html">Single-subject data (two runs) in native space</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/04_glm_first_level/plot_bids_features.html">First level analysis of a complete BIDS dataset from openneuro</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/04_glm_first_level/plot_localizer_surface_analysis.html">Example of surface-based first-level analysis</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/04_glm_first_level/plot_two_runs_model.html">Simple example of two-runs fMRI model fitting</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/04_glm_first_level/plot_first_level_details.html">Understanding parameters of the first-level model</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/05_glm_second_level/plot_proportion_activated_voxels.html">Second-level fMRI model: true positive proportion in clusters</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/05_glm_second_level/plot_second_level_association_test.html">Example of generic design in second-level models</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../auto_examples/06_manipulating_images/index.html">Manipulating brain image volumes</a><input class="toctree-checkbox" id="toctree-checkbox-8" name="toctree-checkbox-8" role="switch" type="checkbox"/><label for="toctree-checkbox-8"><div class="visually-hidden">Toggle navigation of Manipulating brain image volumes</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_negate_image.html">Negating an image with math_img</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_compare_mean_image.html">Comparing the means of 2 images</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_smooth_mean_image.html">Smoothing an image</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_resample_to_template.html">Resample an image to a template</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_extract_rois_smith_atlas.html">Regions Extraction of Default Mode Networks using Smith Atlas</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_nifti_simple.html">Simple example of NiftiMasker use</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_extract_rois_statistical_maps.html">Region Extraction using a t-statistical map (3D)</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_nifti_labels_simple.html">Extracting signals from brain regions using the NiftiLabelsMasker</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_mask_computation.html">Understanding NiftiMasker and mask computation</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_affine_transformation.html">Visualization of affine resamplings</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/06_manipulating_images/plot_roi_extraction.html">Computing a Region of Interest (ROI) mask manually</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../auto_examples/07_advanced/index.html">Advanced statistical analysis of brain images</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" role="switch" type="checkbox"/><label for="toctree-checkbox-9"><div class="visually-hidden">Toggle navigation of Advanced statistical analysis of brain images</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_ica_resting_state.html">Multivariate decompositions: Independent component analysis of fMRI</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_localizer_simple_analysis.html">Massively univariate analysis of a calculation task from the Localizer dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_bids_analysis.html">BIDS dataset first and second level analysis</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_neurovault_meta_analysis.html">NeuroVault meta-analysis of stop-go paradigm studies</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_age_group_prediction_cross_val.html">Functional connectivity predicts age group</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_surface_bids_analysis.html">Surface-based dataset first and second level analysis of a dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_localizer_mass_univariate_methods.html">Massively univariate analysis of a motor task from the Localizer dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_ica_neurovault.html">NeuroVault cross-study ICA maps</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_haxby_mass_univariate.html">Massively univariate analysis of face vs house recognition</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_advanced_decoding_scikit.html">Advanced decoding using scikit learn</a></li>
<li class="toctree-l3"><a class="reference internal" href="../auto_examples/07_advanced/plot_beta_series.html">Beta-Series Modeling for Task-Based Functional Connectivity and Decoding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../auto_examples/08_experimental/plot_surface_image_and_maskers.html">A short demo of the surface images & maskers</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../user_guide.html">User guide</a><input class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" role="switch" type="checkbox"/><label for="toctree-checkbox-11"><div class="visually-hidden">Toggle navigation of User guide</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2"><a class="reference internal" href="../introduction.html">1. Introduction</a></li>
<li class="toctree-l2"><a class="reference internal" href="../introduction.html#what-is-nilearn">2. What is <code class="docutils literal notranslate"><span class="pre">nilearn</span></code>?</a></li>
<li class="toctree-l2"><a class="reference internal" href="../introduction.html#using-nilearn-for-the-first-time">3. Using <code class="docutils literal notranslate"><span class="pre">nilearn</span></code> for the first time</a></li>
<li class="toctree-l2"><a class="reference internal" href="../introduction.html#machine-learning-applications-to-neuroimaging">4. Machine learning applications to Neuroimaging</a></li>
<li class="toctree-l2 has-children"><a class="reference internal" href="../decoding/index.html">5. Decoding and MVPA: predicting from brain images</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" role="switch" type="checkbox"/><label for="toctree-checkbox-12"><div class="visually-hidden">Toggle navigation of 5. Decoding and MVPA: predicting from brain images</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../decoding/decoding_intro.html">5.1. An introduction to decoding</a></li>
<li class="toctree-l3"><a class="reference internal" href="../decoding/estimator_choice.html">5.2. Choosing the right predictive model for neuroimaging</a></li>
<li class="toctree-l3"><a class="reference internal" href="../decoding/frem.html">5.3. FREM: fast ensembling of regularized models for robust decoding</a></li>
<li class="toctree-l3"><a class="reference internal" href="../decoding/space_net.html">5.4. SpaceNet: decoding with spatial structure for better maps</a></li>
<li class="toctree-l3"><a class="reference internal" href="../decoding/searchlight.html">5.5. Searchlight : finding voxels containing information</a></li>
<li class="toctree-l3"><a class="reference internal" href="../decoding/going_further.html">5.6. Running scikit-learn functions for more control on the analysis</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../connectivity/index.html">6. Functional connectivity and resting state</a><input class="toctree-checkbox" id="toctree-checkbox-13" name="toctree-checkbox-13" role="switch" type="checkbox"/><label for="toctree-checkbox-13"><div class="visually-hidden">Toggle navigation of 6. Functional connectivity and resting state</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../connectivity/functional_connectomes.html">6.1. Extracting times series to build a functional connectome</a></li>
<li class="toctree-l3 has-children"><a class="reference internal" href="../connectivity/connectome_extraction.html">6.2. Connectome extraction: inverse covariance for direct connections</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" role="switch" type="checkbox"/><label for="toctree-checkbox-14"><div class="visually-hidden">Toggle navigation of 6.2. Connectome extraction: inverse covariance for direct connections</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l4"><a class="reference internal" href="../developers/group_sparse_covariance.html">6.2.3.1. Group-sparse covariance estimation</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../connectivity/resting_state_networks.html">6.3. Extracting functional brain networks: ICA and related</a></li>
<li class="toctree-l3"><a class="reference internal" href="../connectivity/region_extraction.html">6.4. Region Extraction for better brain parcellations</a></li>
<li class="toctree-l3"><a class="reference internal" href="../connectivity/parcellating.html">6.5. Clustering to parcellate the brain in regions</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../plotting/index.html">7. Plotting brain images</a></li>
<li class="toctree-l2 has-children"><a class="reference internal" href="../glm/index.html">8. Analyzing fMRI using GLMs</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" role="switch" type="checkbox"/><label for="toctree-checkbox-15"><div class="visually-hidden">Toggle navigation of 8. Analyzing fMRI using GLMs</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../glm/glm_intro.html">8.1. An introduction to GLMs in fMRI statistical analysis</a></li>
<li class="toctree-l3"><a class="reference internal" href="../glm/first_level_model.html">8.2. First level models</a></li>
<li class="toctree-l3"><a class="reference internal" href="../glm/second_level_model.html">8.3. Second level models</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../manipulating_images/input_output.html">9.1. Input and output: neuroimaging data representation</a></li>
<li class="toctree-l3"><a class="reference internal" href="../manipulating_images/manipulating_images.html">9.2. Manipulating images: resampling, smoothing, masking, ROIs…</a></li>
<li class="toctree-l3"><a class="reference internal" href="../manipulating_images/masker_objects.html">9.3. From neuroimaging volumes to data matrices: the masker objects</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../building_blocks/index.html">10. Advanced usage: manual pipelines and scaling up</a><input class="toctree-checkbox" id="toctree-checkbox-17" name="toctree-checkbox-17" role="switch" type="checkbox"/><label for="toctree-checkbox-17"><div class="visually-hidden">Toggle navigation of 10. Advanced usage: manual pipelines and scaling up</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../building_blocks/manual_pipeline.html">10.1. Building your own neuroimaging machine-learning pipeline</a></li>
<li class="toctree-l3"><a class="reference internal" href="../building_blocks/neurovault.html">10.2. Downloading statistical maps from the Neurovault repository</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../modules/index.html">API References</a><input class="toctree-checkbox" id="toctree-checkbox-18" name="toctree-checkbox-18" role="switch" type="checkbox"/><label for="toctree-checkbox-18"><div class="visually-hidden">Toggle navigation of API References</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l2 has-children"><a class="reference internal" href="../modules/connectome.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">nilearn.connectome</span></code>: Functional Connectivity</a><input class="toctree-checkbox" id="toctree-checkbox-19" name="toctree-checkbox-19" role="switch" type="checkbox"/><label for="toctree-checkbox-19"><div class="visually-hidden">Toggle navigation of nilearn.connectome: Functional Connectivity</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.ConnectivityMeasure.html">nilearn.connectome.ConnectivityMeasure</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.GroupSparseCovariance.html">nilearn.connectome.GroupSparseCovariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.GroupSparseCovarianceCV.html">nilearn.connectome.GroupSparseCovarianceCV</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.sym_matrix_to_vec.html">nilearn.connectome.sym_matrix_to_vec</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.vec_to_sym_matrix.html">nilearn.connectome.vec_to_sym_matrix</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.group_sparse_covariance.html">nilearn.connectome.group_sparse_covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.cov_to_corr.html">nilearn.connectome.cov_to_corr</a></li>
<li class="toctree-l3"><a class="reference internal" href="../modules/generated/nilearn.connectome.prec_to_partial.html">nilearn.connectome.prec_to_partial</a></li>
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<article role="main">
<section id="id1">
<h1>0.10.3<a class="headerlink" href="#id1" title="Link to this heading">#</a></h1>
<section id="highlights">
<h2>HIGHLIGHTS<a class="headerlink" href="#highlights" title="Link to this heading">#</a></h2>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<div class="line-block">
<div class="line"><strong>Minimum supported versions of packages have been bumped up:</strong></div>
<div class="line">- Numpy – v1.19.0</div>
<div class="line">- SciPy – v1.8.0</div>
<div class="line">- Scikit-learn – v1.0.0</div>
<div class="line">- Nibabel – v4.0.0</div>
<div class="line">- Pandas – v1.1.5</div>
<div class="line">- Joblib – v1.0.0</div>
</div>
</div>
<ul class="simple">
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Allow passing arguments to <a class="reference internal" href="../modules/generated/nilearn.glm.first_level.first_level_from_bids.html#nilearn.glm.first_level.first_level_from_bids" title="nilearn.glm.first_level.first_level_from_bids"><code class="xref py py-func docutils literal notranslate"><span class="pre">first_level_from_bids</span></code></a> to build first level models that include specific set of confounds by relying on the strategies from <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds.html#nilearn.interfaces.fmriprep.load_confounds" title="nilearn.interfaces.fmriprep.load_confounds"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4103">#4103</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Support passing t and F contrasts to <a class="reference internal" href="../modules/generated/nilearn.glm.compute_contrast.html#nilearn.glm.compute_contrast" title="nilearn.glm.compute_contrast"><code class="xref py py-func docutils literal notranslate"><span class="pre">compute_contrast</span></code></a> that that have fewer columns than the number of estimated parameters. Remaining columns are padded with zero (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4067">#4067</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> <a class="reference internal" href="../modules/generated/nilearn.maskers.NiftiSpheresMasker.html#nilearn.maskers.NiftiSpheresMasker" title="nilearn.maskers.NiftiSpheresMasker"><code class="xref py py-class docutils literal notranslate"><span class="pre">NiftiSpheresMasker</span></code></a> now has <code class="docutils literal notranslate"><span class="pre">generate_report</span></code> method (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3102">#3102</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a> and <a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Update the <code class="docutils literal notranslate"><span class="pre">CompCor</span></code> strategy in <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds.html#nilearn.interfaces.fmriprep.load_confounds" title="nilearn.interfaces.fmriprep.load_confounds"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds</span></code></a> and <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds_strategy.html#nilearn.interfaces.fmriprep.load_confounds_strategy" title="nilearn.interfaces.fmriprep.load_confounds_strategy"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds_strategy</span></code></a> to support <code class="docutils literal notranslate"><span class="pre">fmriprep</span></code> 21.x series and above. (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3285">#3285</a> by <a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Combine GLM examples <code class="docutils literal notranslate"><span class="pre">plot_fixed_effect</span></code> and <code class="docutils literal notranslate"><span class="pre">plot_fiac_analysis</span></code> into a a single example <code class="docutils literal notranslate"><span class="pre">plot_two_runs_model</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3191">#3191</a> by <a class="reference external" href="https://tsalo.github.io/">Taylor Salo</a> and <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-info sd-bg-text-info">Plotting</span> Allow setting <code class="docutils literal notranslate"><span class="pre">vmin</span></code> in <a class="reference internal" href="../modules/generated/nilearn.plotting.plot_glass_brain.html#nilearn.plotting.plot_glass_brain" title="nilearn.plotting.plot_glass_brain"><code class="xref py py-func docutils literal notranslate"><span class="pre">plot_glass_brain</span></code></a> and <a class="reference internal" href="../modules/generated/nilearn.plotting.plot_stat_map.html#nilearn.plotting.plot_stat_map" title="nilearn.plotting.plot_stat_map"><code class="xref py py-func docutils literal notranslate"><span class="pre">plot_stat_map</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3993">#3993</a> by <a class="reference external" href="https://github.com/michellewang">Michelle Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-info sd-bg-text-info">Plotting</span> When plotting thresholded statistical maps with a colorbar, the threshold value(s) will now be displayed as tick labels on the colorbar (<a class="reference external" href="https://github.com/nilearn/nilearn/#2833">##2833</a> by <a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a>).</p></li>
</ul>
</section>
<section id="new">
<h2>NEW<a class="headerlink" href="#new" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><span class="sd-sphinx-override sd-badge sd-bg-info sd-bg-text-info">Plotting</span> The <code class="docutils literal notranslate"><span class="pre">temp_file_lifetime</span></code> parameter of interactive plots’ <code class="docutils literal notranslate"><span class="pre">open_in_browser</span></code> method is deprecated and has no effect (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4180">#4180</a> by <a class="reference external" href="https://jeromedockes.github.io/">Jerome Dockes</a>)..</p></li>
</ul>
</section>
<section id="fixes">
<h2>Fixes<a class="headerlink" href="#fixes" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> <a class="reference internal" href="../modules/generated/nilearn.maskers.MultiNiftiMasker.html#nilearn.maskers.MultiNiftiMasker" title="nilearn.maskers.MultiNiftiMasker"><code class="xref py py-class docutils literal notranslate"><span class="pre">MultiNiftiMasker</span></code></a> can now call <a class="reference internal" href="../modules/generated/nilearn.maskers.NiftiMasker.html#nilearn.maskers.NiftiMasker.generate_report" title="nilearn.maskers.NiftiMasker.generate_report"><code class="xref py py-meth docutils literal notranslate"><span class="pre">generate_report</span></code></a> which will generate a report for the first subject in the list of subjects (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4001">#4001</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Make sure that all atlases and datasets fetchers return a description (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4215">#4215</a> <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Update the <code class="docutils literal notranslate"><span class="pre">CompCor</span></code> strategy in <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds.html#nilearn.interfaces.fmriprep.load_confounds" title="nilearn.interfaces.fmriprep.load_confounds"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds</span></code></a> and <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds_strategy.html#nilearn.interfaces.fmriprep.load_confounds_strategy" title="nilearn.interfaces.fmriprep.load_confounds_strategy"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds_strategy</span></code></a> to support <code class="docutils literal notranslate"><span class="pre">fmriprep</span></code> 21.x series and above. (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3285">#3285</a> by <a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Fix <a class="reference internal" href="../modules/generated/nilearn.glm.SimpleRegressionResults.html#nilearn.glm.SimpleRegressionResults" title="nilearn.glm.regression.SimpleRegressionResults"><code class="xref py py-class docutils literal notranslate"><span class="pre">SimpleRegressionResults</span></code></a> to accommodate for the lack of a <code class="docutils literal notranslate"><span class="pre">model</span></code> attribute (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4071">#4071</a> <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>)</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> <a class="reference internal" href="../modules/generated/nilearn.image.clean_img.html#nilearn.image.clean_img" title="nilearn.image.clean_img"><code class="xref py py-func docutils literal notranslate"><span class="pre">clean_img</span></code></a> can now use kwargs <code class="docutils literal notranslate"><span class="pre">clean__sample_mask</span></code> argument to correctly reshape the nifti image to the dimensions of the mask in the output (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4051">#4051</a> by <a class="reference external" href="https://github.com/MIZwally">Mia Zwally</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Fix plotting of an image with color bar when maximum value is exactly zero (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4204">#4204</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Fix PSC normalisation method applied by <code class="docutils literal notranslate"><span class="pre">standardize_signal</span></code> in <a class="reference internal" href="../modules/signal.html#module-nilearn.signal" title="nilearn.signal"><code class="xref py py-mod docutils literal notranslate"><span class="pre">signal</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4116">#4116</a> by <a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a> and <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Fixed inheritance of decoder classes to keep compatibility with scikit-learn>v1.3 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4188">#4188</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> Make sure that all the fetchers for <code class="docutils literal notranslate"><span class="pre">atlas</span></code> and <code class="docutils literal notranslate"><span class="pre">func</span></code> from <a class="reference internal" href="../modules/datasets.html#module-nilearn.datasets" title="nilearn.datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">nilearn.datasets</span></code></a> return a <a class="reference external" href="https://scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html#sklearn.utils.Bunch" title="(in scikit-learn v1.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">sklearn.utils.Bunch</span></code></a>. Add new behavior to <a class="reference internal" href="../modules/generated/nilearn.datasets.fetch_language_localizer_demo_dataset.html#nilearn.datasets.fetch_language_localizer_demo_dataset" title="nilearn.datasets.fetch_language_localizer_demo_dataset"><code class="xref py py-func docutils literal notranslate"><span class="pre">fetch_language_localizer_demo_dataset</span></code></a> to return output as <code class="docutils literal notranslate"><span class="pre">Bunch</span></code>. This behavior will become the default in version 0.13.0 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4233">#4233</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
</ul>
</section>
<section id="enhancements">
<h2>Enhancements<a class="headerlink" href="#enhancements" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> <a class="reference internal" href="../modules/generated/nilearn.maskers.NiftiSpheresMasker.html#nilearn.maskers.NiftiSpheresMasker" title="nilearn.maskers.NiftiSpheresMasker"><code class="xref py py-class docutils literal notranslate"><span class="pre">NiftiSpheresMasker</span></code></a> now has <code class="docutils literal notranslate"><span class="pre">generate_report</span></code> method (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3102">#3102</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a> and <a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Allow passing Pandas Series of image filenames to <a class="reference internal" href="../modules/generated/nilearn.glm.second_level.SecondLevelModel.html#nilearn.glm.second_level.SecondLevelModel" title="nilearn.glm.second_level.SecondLevelModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">SecondLevelModel</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4070">#4070</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Allow passing arguments to <a class="reference internal" href="../modules/generated/nilearn.glm.first_level.first_level_from_bids.html#nilearn.glm.first_level.first_level_from_bids" title="nilearn.glm.first_level.first_level_from_bids"><code class="xref py py-func docutils literal notranslate"><span class="pre">first_level_from_bids</span></code></a> to build first level models that include specific set of confounds by relying on the strategies from <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds.html#nilearn.interfaces.fmriprep.load_confounds" title="nilearn.interfaces.fmriprep.load_confounds"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4103">#4103</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Support passing t and F contrasts to <a class="reference internal" href="../modules/generated/nilearn.glm.compute_contrast.html#nilearn.glm.compute_contrast" title="nilearn.glm.compute_contrast"><code class="xref py py-func docutils literal notranslate"><span class="pre">compute_contrast</span></code></a> that that have fewer columns than the number of estimated parameters. Remaining columns are padded with zero (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4067">#4067</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Multi-subject maskers’ <code class="docutils literal notranslate"><span class="pre">generate_report</span></code> method no longer fails with 5D data but instead shows report of first subject. User can index input list to show report for different subjects (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3935">#3935</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Allow <code class="docutils literal notranslate"><span class="pre">global_signal</span></code> parameter in <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds_strategy.html#nilearn.interfaces.fmriprep.load_confounds_strategy" title="nilearn.interfaces.fmriprep.load_confounds_strategy"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds_strategy</span></code></a> in <code class="docutils literal notranslate"><span class="pre">denoise_strategy='compcor'</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4225">#4225</a> by <a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Add <code class="docutils literal notranslate"><span class="pre">two_sided</span></code> option for <a class="reference internal" href="../modules/generated/nilearn.image.binarize_img.html#nilearn.image.binarize_img" title="nilearn.image.binarize_img"><code class="xref py py-class docutils literal notranslate"><span class="pre">binarize_img</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4121">#4121</a> by <a class="reference external" href="https://www.stevenmeisler.com">Steven Meisler</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> <a class="reference internal" href="../modules/generated/nilearn.maskers.NiftiLabelsMasker.html#nilearn.maskers.NiftiLabelsMasker.generate_report" title="nilearn.maskers.NiftiLabelsMasker.generate_report"><code class="xref py py-meth docutils literal notranslate"><span class="pre">generate_report</span></code></a> now uses appropriate cut coordinates when functional image is provided (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4099">#4099</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a> and <a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Mention the classification type (all-vs-one) in <a class="reference internal" href="../auto_examples/02_decoding/plot_haxby_glm_decoding.html#sphx-glr-auto-examples-02-decoding-plot-haxby-glm-decoding-py"><span class="std std-ref">Decoding of a dataset after GLM fit for signal extraction</span></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4122">#4122</a> by <a class="reference external" href="https://github.com/TamerGezici">Tamer Gezici</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Add backslash to homogenize <a class="reference internal" href="../modules/generated/nilearn.regions.Parcellations.html#nilearn.regions.Parcellations" title="nilearn.regions.Parcellations"><code class="xref py py-class docutils literal notranslate"><span class="pre">Parcellations</span></code></a> documentation (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4042">#4042</a> by <a class="reference external" href="https://github.com/NIkhilgKrish">Nikhil Krish</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Specify full form of LSS in <a class="reference internal" href="../auto_examples/07_advanced/plot_beta_series.html#sphx-glr-auto-examples-07-advanced-plot-beta-series-py"><span class="std std-ref">Beta-Series Modeling for Task-Based Functional Connectivity and Decoding</span></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4141">#4141</a> by <a class="reference external" href="https://github.com/TamerGezici">Tamer Gezici</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Don’t fetch tmaps in examples if tmaps aren’t used in the example. (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4136">#4136</a> by <a class="reference external" href="https://github.com/crossmanith">Christina Roßmanith</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Describe the return value in <a class="reference internal" href="../modules/generated/nilearn.datasets.fetch_abide_pcp.html#nilearn.datasets.fetch_abide_pcp" title="nilearn.datasets.fetch_abide_pcp"><code class="xref py py-func docutils literal notranslate"><span class="pre">fetch_abide_pcp</span></code></a> documentation (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4159">#4159</a> by <a class="reference external" href="https://github.com/SuramyaP">Suramya Pokharel</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-info sd-bg-text-info">Plotting</span> Allow setting <code class="docutils literal notranslate"><span class="pre">vmin</span></code> in <a class="reference internal" href="../modules/generated/nilearn.plotting.plot_glass_brain.html#nilearn.plotting.plot_glass_brain" title="nilearn.plotting.plot_glass_brain"><code class="xref py py-func docutils literal notranslate"><span class="pre">plot_glass_brain</span></code></a> and <a class="reference internal" href="../modules/generated/nilearn.plotting.plot_stat_map.html#nilearn.plotting.plot_stat_map" title="nilearn.plotting.plot_stat_map"><code class="xref py py-func docutils literal notranslate"><span class="pre">plot_stat_map</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3993">#3993</a> by <a class="reference external" href="https://github.com/michellewang">Michelle Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-info sd-bg-text-info">Plotting</span> When plotting thresholded statistical maps with a colorbar, the threshold value(s) will now be displayed as tick labels on the colorbar (<a class="reference external" href="https://github.com/nilearn/nilearn/#2833">##2833</a> by <a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a>).</p></li>
</ul>
</section>
<section id="changes">
<h2>Changes<a class="headerlink" href="#changes" title="Link to this heading">#</a></h2>
<ul class="simple">
<li><p><span class="sd-sphinx-override sd-badge sd-bg-success sd-bg-text-success">API</span> Expose scipy CubicSpline <code class="docutils literal notranslate"><span class="pre">extrapolate</span></code> parameter in <a class="reference internal" href="../modules/generated/nilearn.signal.clean.html#nilearn.signal.clean" title="nilearn.signal.clean"><code class="xref py py-func docutils literal notranslate"><span class="pre">clean</span></code></a> to control the interpolation of censored volumes in both ends of the BOLD signal data (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4028">#4028</a> by <a class="reference external" href="https://github.com/jhuguetn">Jordi Huguet</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Make <code class="docutils literal notranslate"><span class="pre">nilearn.reporting._get_clusters_table</span></code> module public and move <code class="docutils literal notranslate"><span class="pre">copy_img</span> <span class="pre">out</span></code> of <code class="docutils literal notranslate"><span class="pre">nilearn._utils.niimg</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4166">#4166</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Private utility context manager <code class="docutils literal notranslate"><span class="pre">write_tmp_imgs</span></code> is refactored into function <code class="docutils literal notranslate"><span class="pre">write_imgs_to_path</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4094">#4094</a> by <a class="reference external" href="https://github.com/ymzayek">Yasmin Mzayek</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Move user facing function <code class="docutils literal notranslate"><span class="pre">concat_niimgs</span></code> out of private module <code class="docutils literal notranslate"><span class="pre">nilearn._utils.niimg_conversions</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4167">#4167</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Remove leading underscore from non private functions to align with PEP8 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4086">#4086</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Make <code class="docutils literal notranslate"><span class="pre">decoding/proximal_operator</span></code> explicitly private to align with PEP8 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4153">#4153</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-dark sd-bg-text-dark">Code</span> Make private functions public when used outside of their module <code class="docutils literal notranslate"><span class="pre">nilearn.interface</span></code> to align with PEP8 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4168">#4168</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> <a class="reference internal" href="../modules/generated/nilearn.regions.img_to_signals_labels.html#nilearn.regions.img_to_signals_labels" title="nilearn.regions.img_to_signals_labels"><code class="xref py py-func docutils literal notranslate"><span class="pre">img_to_signals_labels</span></code></a> will also return <code class="docutils literal notranslate"><span class="pre">masked_atlas</span></code> in release 0.15. Meanwhile, use <code class="docutils literal notranslate"><span class="pre">return_masked_atlas</span></code> parameter to enable/disable this behavior. (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3761">#3761</a> by <a class="reference external" href="https://github.com/mtorabi59">Mohammad Torabi</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> Rename the parameter <code class="docutils literal notranslate"><span class="pre">contrast_type</span></code> in <a class="reference internal" href="../modules/generated/nilearn.glm.compute_contrast.html#nilearn.glm.compute_contrast" title="nilearn.glm.compute_contrast"><code class="xref py py-func docutils literal notranslate"><span class="pre">compute_contrast</span></code></a> and attribute <code class="docutils literal notranslate"><span class="pre">contrast_type</span></code> in <a class="reference internal" href="../modules/generated/nilearn.glm.Contrast.html#nilearn.glm.Contrast" title="nilearn.glm.Contrast"><code class="xref py py-class docutils literal notranslate"><span class="pre">Contrast</span></code></a> to <code class="docutils literal notranslate"><span class="pre">stat_type</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4191">#4191</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> <a class="reference internal" href="../modules/generated/nilearn.plotting.plot_surf_roi.html#nilearn.plotting.plot_surf_roi" title="nilearn.plotting.plot_surf_roi"><code class="xref py py-func docutils literal notranslate"><span class="pre">plot_surf_roi</span></code></a> will raise a warning if <code class="docutils literal notranslate"><span class="pre">roi_map</span></code> contains negative or non-integer values; in version 0.13 this will be a <code class="docutils literal notranslate"><span class="pre">ValueError</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4131">#4131</a> by <a class="reference external" href="https://github.com/michellewang">Michelle Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> <code class="docutils literal notranslate"><span class="pre">nilearn.datasets.fetch_bids_langloc_dataset</span></code> will be deprecated in release 0.13 as it returns data simuilar to <a class="reference internal" href="../modules/generated/nilearn.datasets.fetch_language_localizer_demo_dataset.html#nilearn.datasets.fetch_language_localizer_demo_dataset" title="nilearn.datasets.fetch_language_localizer_demo_dataset"><code class="xref py py-func docutils literal notranslate"><span class="pre">fetch_language_localizer_demo_dataset</span></code></a> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4219">#4219</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-danger sd-bg-text-danger">Deprecation</span> the default parameter of <code class="docutils literal notranslate"><span class="pre">fd_threshold</span></code> and <code class="docutils literal notranslate"><span class="pre">std_dvars_threshold</span></code> in <a class="reference internal" href="../modules/generated/nilearn.interfaces.fmriprep.load_confounds.html#nilearn.interfaces.fmriprep.load_confounds" title="nilearn.interfaces.fmriprep.load_confounds"><code class="xref py py-func docutils literal notranslate"><span class="pre">load_confounds</span></code></a> with be updated to match <code class="docutils literal notranslate"><span class="pre">fmriprep</span></code> default in version 0.13 (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4225">#4225</a> by <a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-primary sd-bg-text-primary">Doc</span> Combine GLM examples <code class="docutils literal notranslate"><span class="pre">plot_fixed_effect</span></code> and <code class="docutils literal notranslate"><span class="pre">plot_fiac_analysis</span></code> into a a single example <code class="docutils literal notranslate"><span class="pre">plot_two_runs_model</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/3191">#3191</a> by <a class="reference external" href="https://tsalo.github.io/">Taylor Salo</a> and <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
<li><p><span class="sd-sphinx-override sd-badge sd-bg-secondary sd-bg-text-secondary">Maint</span> Switch to using tox to manage environments during development and testing. All plotting python dependencies (matplotlib AND plotly) are now installed when running <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">nilearn[plotting]</span></code> (<a class="reference external" href="https://github.com/nilearn/nilearn/issues/4029">#4029</a> by <a class="reference external" href="https://github.com/Remi-Gau">Rémi Gau</a>).</p></li>
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<li><a class="reference internal" href="#">0.10.3</a><ul>
<li><a class="reference internal" href="#highlights">HIGHLIGHTS</a></li>
<li><a class="reference internal" href="#new">NEW</a></li>
<li><a class="reference internal" href="#fixes">Fixes</a></li>
<li><a class="reference internal" href="#enhancements">Enhancements</a></li>
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