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fmri data preprocessing using dpabi software  (MathWorks Inc)


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    Structured Review

    MathWorks Inc fmri data preprocessing using dpabi software
    Fmri Data Preprocessing Using Dpabi Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/data+preprocessing+software/pm39800170-98-10-26
    Average 90 stars, based on 1 article reviews
    fmri data preprocessing using dpabi software - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    Imaging:

    Article Title: Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder.
    Article Snippet: The threshold used for statistical significance was set (with Bonferroni correction) at less than 0.05 (SPSS for Windows, Version 21.0, SPSS, Chicago, IL, USA). .. Statistical analyses of the imaging data were carried out using DPABI software, running under MATLAB. ..

    Software:

    Article Title: Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder.
    Article Snippet: The threshold used for statistical significance was set (with Bonferroni correction) at less than 0.05 (SPSS for Windows, Version 21.0, SPSS, Chicago, IL, USA). .. Statistical analyses of the imaging data were carried out using DPABI software, running under MATLAB. ..

    Article Title: Combining Quantitative Susceptibility Mapping With the Gray Matter Volume to Predict Neurological Deficits in Patients With Small Artery Occlusion.
    Article Snippet: .. Voxel-based morphometry (VBM) analysis was performed using the DPABI software, built on the MATLAB R2020b (MathWorks, Natick, MA, USA). ..

    Article Title: Resting-state functional magnetic resonance imaging study on cerebrovascular reactivity changes in the precuneus of Alzheimer’s disease and mild cognitive impairment patients
    Article Snippet: .. In the DPABI software of MATLAB, the whole brain template was used to remove cerebrospinal fluid and other disturbances; age, gender, years of education, and head movements were taken as covariables, and the CVR and FC of the three groups were analyzed and compared by voxel-based covariance analysis (ANCOVA). ..

    Article Title: Diffusion kurtosis imaging of brain white matter alteration in patients with coronary artery disease based on the TBSS method
    Article Snippet: .. Based on the parameter maps standardized to MNI space, the DPABI software package in MATLAB 2016b was utilized to extract the relevant parameter values of the brain regions where there are differences in fiber bundle parameters between two groups using Johns Hopkins University (JHU)-ICBM labels as a template. .. We performed all data analyses using SPSS 22.0 statistical software.

    Article Title: Combining Quantitative Susceptibility Mapping With the Gray Matter Volume to Predict Neurological Deficits in Patients With Small Artery Occlusion
    Article Snippet: .. Voxel‐based morphometry (VBM) analysis was performed using the DPABI software, built on the MATLAB R2020b (MathWorks, Natick, MA, USA). ..

    Article Title: Shallow Acupuncture for Chronic Neck Pain: A Multicenter Randomized Controlled Trial Protocol with fMRI and DTI
    Article Snippet: .. The voxel size was set to 1.7 mm × 1.7 mm × 4.0 mm, with a basic resolution of 128×128. fMRI data were processed using the DPABI software package, based on MATLAB and Statistical Parametric Mapping (SPM) platforms. ..

    Functional Assay:

    Article Title: Driving brain state transitions via Adaptive Local Energy Control Model.
    Article Snippet: The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions.. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention.. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.

    Magnetic Resonance Imaging:

    Article Title: Driving brain state transitions via Adaptive Local Energy Control Model.
    Article Snippet: The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions.. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention.. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.



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    Image Search Results


    Erotica-induced modulation of NFR, pain, N2 and P2 in studies 2 and 3.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Erotica-induced modulation of NFR, pain, N2 and P2 in studies 2 and 3.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques:

    Mutilation-induced modulation of NFR, pain, N2 and P2 in studies 2 & 3.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Mutilation-induced modulation of NFR, pain, N2 and P2 in studies 2 & 3.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques:

    Grand average EEG waveforms at Cz for ECON. Time windows used for analysis of N2 (90–140 ms) and P2 (280–350 ms) are shaded.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Grand average EEG waveforms at Cz for ECON. Time windows used for analysis of N2 (90–140 ms) and P2 (280–350 ms) are shaded.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques:

    (A) Key parameters involved in each of the three major data processing stages from data collection to assessment of selectivity. (B) Using a single coordinate to characterize the position of the mouse in the maze: head-centroid position versus body-centroid position. (C) Non-binned calcium transients (top) versus 1s-binned calcium transients (bottom). The 1s-binned calcium transients were obtained by averaging values in a moving 1-second window. (D) Illustration of the types of neural data investigated in the current study. Raw Ca traces and Ca events were preprocessed and output directly from Inscopix Data Preprocessing Software (IDPS). Convolved Ca events were obtained by applying a convolution kernel to the Ca events. Ca traces analyzed in the current study referred to the lowpass-subtracted rectified Ca traces, which were obtained by subtracting the low-pass component from the raw Ca traces and rectifying them. (E) Illustration of the number-matched method. The time spent in open arms is shown by gray bars. Yellow bars refer to random subsets of closed-arm bouts. (F) Representations of the procedures of the four shuffling methods, arranged from the lowest degree of randomness to the highest degree of randomness.

    Journal: bioRxiv

    Article Title: Robust characterization of selectivity of individual neurons to distinct task-relevant behavioral states using calcium imaging

    doi: 10.1101/2024.11.30.626195

    Figure Lengend Snippet: (A) Key parameters involved in each of the three major data processing stages from data collection to assessment of selectivity. (B) Using a single coordinate to characterize the position of the mouse in the maze: head-centroid position versus body-centroid position. (C) Non-binned calcium transients (top) versus 1s-binned calcium transients (bottom). The 1s-binned calcium transients were obtained by averaging values in a moving 1-second window. (D) Illustration of the types of neural data investigated in the current study. Raw Ca traces and Ca events were preprocessed and output directly from Inscopix Data Preprocessing Software (IDPS). Convolved Ca events were obtained by applying a convolution kernel to the Ca events. Ca traces analyzed in the current study referred to the lowpass-subtracted rectified Ca traces, which were obtained by subtracting the low-pass component from the raw Ca traces and rectifying them. (E) Illustration of the number-matched method. The time spent in open arms is shown by gray bars. Yellow bars refer to random subsets of closed-arm bouts. (F) Representations of the procedures of the four shuffling methods, arranged from the lowest degree of randomness to the highest degree of randomness.

    Article Snippet: Raw movie data were preprocessed using the Inscopix Data Preprocessing Software (IDPS).

    Techniques: Software