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statistical parametric mapping spm toolbox  (MathWorks Inc)


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    MathWorks Inc statistical parametric mapping spm toolbox
    Statistical Parametric Mapping Spm Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 675 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/statistical+parametric+mapping+spm+toolbox/Mapping+Toolbox/pm41821234-113-3-1
    Average 96 stars, based on 675 article reviews
    statistical parametric mapping spm toolbox - by Bioz Stars, 2026-11
    96/100 stars

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    Related Articles

    other:

    Article Title: 18 F-Florzolotau Positron Emission Tomography Imaging of Tau Pathology in the Living Brains of Patients with Corticobasal Syndrome.
    Article Snippet: Background: Recent development in tau-sensitive tracers has sparkled significant interest in tracking tauopathies using positron emission tomography (PET) biomarkers.. However, the ability of Fflorzolotau PET imaging to topographically characterize tau pathology in corticobasal syndrome (CBS) remains unclear.. Further, the question as to whether disease-level differences exist with other neurodegenerative tauopathies is still unanswered.

    Article Title: Diffusion basis spectrum imaging for identifying pathologies in MS subtypes
    Article Snippet: Normal‐appearing WM often harbors pathology in MS, and the CC was chosen for study due to its large size and ease of identification, axonal coherence, and predilection to be affected in MS. WM lesion ROIs for the whole brain were created on fluid‐attenuated inversion recovery (FLAIR) images by automatic segmentation using the Lesion Prediction Algorithm implemented in Lesion Segmentation Tool of Statistical Parametric Mapping (SPM) toolbox in MATLAB.

    Article Title: Distinct neurochemical predictors for different phases of decision-making learning
    Article Snippet: Tissue segmentation was performed using the Statistical Parametric Mapping (SPM) toolbox ( ) for MATLAB (The MathWorks, Inc., Natick, MA, USA).

    Article Title: Mapping Human Corpus Callosum Connectivity With Diffusion Spectrum Imaging: A Deterministic Tractography Approach.
    Article Snippet: Using MATLAB and statistical parametric mapping (SPM) toolbox, both whole transcallosal tracts and the reserved callosal fibers, including 41 subdivisions corresponding to the AAL3 and 105 subdivisions corresponding to the BNA, were projected to the MNI space and integrated into 4D nifti format to create two groups of templates, respectively.

    Clinical Proteomics:

    Article Title: Identifying Type 2 Diabetic Brains by Investigating Disease-Related Structural Changes in Magnetic Resonance Imaging
    Article Snippet: .. All magnetic resonance (MR) images were first subjected to a Non-parametric Non-uniform intensity Normalization (N3) correction, and then pre-processed by Statistical Parametric Mapping (SPM) toolbox using MATLAB in three steps as follows: (1) Each brain volume was segmented into GM, WM, cerebrospinal fluid (CSF), skull, scalp, and background; (2) The GM, WM, and CSF were conjuncted with a hole-filling morphological operation to create a brain mask that would facilitate the classification algorithm to focus on the brain region; (3) Each volume was spatially normalized to the Montreal Neurological Institute (MNI) space using SPM. ..

    Software:

    Article Title: Toward a unified framework for interpreting machine-learning models in neuroimaging.
    Article Snippet: Machine learning is a powerful tool for creating computational models relating brain function to behavior, and its use is becoming widespread in neuroscience.. However, these models are complex and often hard to interpret, making it difficult to evaluate their neuroscientific validity and contribution to understanding the brain.. For neuroimaging-based machinelearning models to be interpretable, they should (i) be comprehensible to humans, (ii) provide useful information about what mental or behavioral constructs are represented in particular brain pathways or regions, and (iii) demonstrate that they are based on relevant neurobiological signal, not artifacts or confounds.



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    MathWorks Inc statistical parametric mapping spm matlab toolbox
    A: Group-averaged t values of the contrast right-hand ME > left-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). B: Group-averaged t values of the contrast left-hand ME > right-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). C: Group-averaged t values of the contrast right-hand MI > left-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). D: Group-averaged t values of the contrast left-hand MI > right-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). Results are displayed using the BrainNet toolbox <t>in</t> <t>MATLAB.</t>
    Statistical Parametric Mapping Spm Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    A: Group-averaged t values of the contrast right-hand ME > left-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). B: Group-averaged t values of the contrast left-hand ME > right-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). C: Group-averaged t values of the contrast right-hand MI > left-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). D: Group-averaged t values of the contrast left-hand MI > right-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). Results are displayed using the BrainNet toolbox in MATLAB.

    Journal: NeuroImage

    Article Title: Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis

    doi: 10.1016/j.neuroimage.2025.121311

    Figure Lengend Snippet: A: Group-averaged t values of the contrast right-hand ME > left-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). B: Group-averaged t values of the contrast left-hand ME > right-hand ME ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). C: Group-averaged t values of the contrast right-hand MI > left-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). D: Group-averaged t values of the contrast left-hand MI > right-hand MI ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 17). Results are displayed using the BrainNet toolbox in MATLAB.

    Article Snippet: fMRI analyses were performed using the Statistical Parametric Mapping (SPM) MATLAB toolbox ( http://www.fil.ion.ucl.ac.uk/spm/ , version 12) and custom MATLAB scripts.

    Techniques:

    A: Group-averaged t values showing BOLD correlates of alpha rhythms in channel C3 during ME tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). B: group-averaged t values showing neural correlates of alpha rhythms in channel C4 during ME tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). C: Group-averaged t values showing neural correlates of alpha rhythms in channel C3 during MI tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). Results are displayed using the BrainNet toolbox in MATLAB.

    Journal: NeuroImage

    Article Title: Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis

    doi: 10.1016/j.neuroimage.2025.121311

    Figure Lengend Snippet: A: Group-averaged t values showing BOLD correlates of alpha rhythms in channel C3 during ME tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). B: group-averaged t values showing neural correlates of alpha rhythms in channel C4 during ME tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). C: Group-averaged t values showing neural correlates of alpha rhythms in channel C3 during MI tasks ( p < 0.001, uncorrected with k higher than the expected number of voxels) ( n = 10). Results are displayed using the BrainNet toolbox in MATLAB.

    Article Snippet: fMRI analyses were performed using the Statistical Parametric Mapping (SPM) MATLAB toolbox ( http://www.fil.ion.ucl.ac.uk/spm/ , version 12) and custom MATLAB scripts.

    Techniques: