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data processing assistant for resting-state fmri dpabi  (MathWorks Inc)


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    MathWorks Inc data processing assistant for resting-state fmri dpabi
    Data Processing Assistant For Resting State Fmri Dpabi, 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/resting+state+fmri/us12361669-153-16-26
    Average 90 stars, based on 1 article reviews
    data processing assistant for resting-state fmri dpabi - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Magnetic Resonance Imaging:

    Article Title: Multivariate classification based on large-scale brain networks during early abstinence predicted lapse among male detoxified alcohol-dependent patients.
    Article Snippet: Identifying biomarkers to predict lapse of alcohol-dependence (AD) is essential for treatment and prevention strategies, but remains remarkably challenging.. With an aim to identify neuroimaging features for predicting AD lapse, 66 male AD patients during early-abstinence (baseline) after hospitalized detoxification underwent resting-state functional magnetic resonance imaging and were then followed-up for 6 months.. The relevancevector-machine (RVM) analysis on baseline large-scale brain networks yielded an elegant model for differentiating relapsing patients (n = 38) from abstainers, with the area under the curve of 0.912 and the accuracy by leave-one-out cross-validation of 0.833.

    Software:

    Article Title: Multivariate classification based on large-scale brain networks during early abstinence predicted lapse among male detoxified alcohol-dependent patients.
    Article Snippet: Identifying biomarkers to predict lapse of alcohol-dependence (AD) is essential for treatment and prevention strategies, but remains remarkably challenging.. With an aim to identify neuroimaging features for predicting AD lapse, 66 male AD patients during early-abstinence (baseline) after hospitalized detoxification underwent resting-state functional magnetic resonance imaging and were then followed-up for 6 months.. The relevancevector-machine (RVM) analysis on baseline large-scale brain networks yielded an elegant model for differentiating relapsing patients (n = 38) from abstainers, with the area under the curve of 0.912 and the accuracy by leave-one-out cross-validation of 0.833.

    Article Title: The brain-gut microbiota network (BGMN) is correlated with symptom severity and neurocognition in patients with schizophrenia.
    Article Snippet: The association between the human brain and gut microbiota, known as the “brain-gut-microbiota axis”, is involved in the neuropathological mechanisms of schizophrenia (SZ); however, its association patterns and correlations with symptom severity and neurocognition are still largely unknown.. In this study, 43 SZ patients and 55 normal controls (NCs) were included, and resting-state functional magnetic resonance imaging (rs-fMRI) and gut microbiota data were acquired for each participant.. First, the brain features of brain images and functional brain networks were computed from rs-fMRI data; the gut features of gut microbiota abundance and the gut microbiota network were computed from gut microbiota data.

    Article Title: Social and non-social working memory in neurodegeneration
    Article Snippet: .. Then, images were preprocessed using the Data Processing Assistant for Resting-State fMRI (DPARSF V2.3) ( ) open-access toolbox in MATLAB, which generates an automatic pipeline for fMRI analysis by calling the Statistical Parametric Mapping software (SPM12) and the Resting-State fMRI Data Analysis Toolkit (REST V.1.7). ..

    Functional Assay:

    Article Title: Links between brain structure and function in children with autism spectrum disorder by parallel independent component analysis.
    Article Snippet: behaviors (Arlington, 2013).. The incidence of autism has recently been shown to augment from 1 in 150 in 2000 to 1 in 36 in 2020 (Baio et al., 2018; Maenner et al., 2023).. At the same time, ASD has a high disability rate, which brings a great burden to society.



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