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software of data processing assistant for rs-fmri advanced edition (dparsf)  (MathWorks Inc)


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    MathWorks Inc software of data processing assistant for rs-fmri advanced edition (dparsf)
    Software Of Data Processing Assistant For Rs Fmri Advanced Edition (Dparsf), 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/rs+fmri+data+processing/pm37902180-35-9-18
    Average 90 stars, based on 1 article reviews
    software of data processing assistant for rs-fmri advanced edition (dparsf) - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: Alleviating cognitive impairments in bipolar disorder with a novel DTI-guided multimodal neurostimulation protocol: a double-blind randomized controlled trial
    Article Snippet: fMRI data preprocessing was conducted using Data Processing Assistant for Resting-State fMRI (DPARSF) Advanced Edition V5.4 in MATLAB 2020.

    Article Title: Altered dynamic brain activity of recent suicidal ideation and suicidal attempt in depression patients and its relationship with cognitive function.
    Article Snippet: Objective: The “ideation-to-action” framework for suicide posited that the occurrence of suicidal ideation (SI) and suicide attempts (SA) may involve distinct neural mechanisms.. However, the disparities in neurocognitive impairment between SI and SA, along with the underlying neural mechanisms, remain further investigation.. Methods: A total of 730 participants were recruited, including depressed patients with recent SA (RSA group, n = 69), patients with recent SI but no history of SA (SI group, n = 327), patients without SI or SA (NSI group, n = 87) and 247 healthy controls.

    Article Title: Coactivation pattern analysis reveals altered whole-brain functional transient dynamics in autism spectrum disorder.
    Article Snippet: Recent studies on autism spectrum disorder (ASD) have identified recurring states dominated by similar coactivation pattern (CAP) and revealed associations between dysfunction in seed-based large-scale brain networks and clinical symptoms.. However, the presence of abnormalities in moment-to-moment whole-brain dynamics in ASD remains uncertain.. In this study, we employed seed-free CAP analysis to identify transient brain activity configurations and investigate dynamic abnormalities in ASD.

    Article Title: Alleviating cognitive impairments in bipolar disorder with a novel DTI-guided multimodal neurostimulation protocol: a double-blind randomized controlled trial.
    Article Snippet: fMRI analysis fMRI data preprocessing was conducted using Data Processing Assistant for Resting-State fMRI (DPARSF) Advanced Edition V5.4 in MATLAB 2020.

    Article Title: Cognitive Remediation in Patients With Bipolar Disorder: A Randomized Trial by Sequential tDCS and Navigated rTMS Targeting the Primary Visual Cortex.
    Article Snippet: The fMRI data preprocessing was performed using Data Processing Assistant for Resting- State fMRI (DPARSF) Advanced Edition V5.4 in MATLAB 2020.

    Article Title: Cognitive Remediation in Patients With Bipolar Disorder: A Randomized Trial by Sequential tDCS and Navigated rTMS Targeting the Primary Visual Cortex
    Article Snippet: The fMRI data preprocessing was performed using Data Processing Assistant for Resting‐State fMRI (DPARSF) Advanced Edition V5.4 in MATLAB 2020.

    Software:

    Article Title: Exploring the changes in functional connectivity of the limbic system in Patients with amnestic mild cognitive impairment treated by acupuncture based on fMRI
    Article Snippet: .. The collected rs-fMRI image data were preprocessed using the Data Processing Assistant for Resting-State fMRI (DPARSFA) toolkit software based on the MATLAB platform. ..

    Magnetic Resonance Imaging:

    Article Title: Resting-state intrinsic network connectivity and mind wandering: Insights from tasks with varying demands.
    Article Snippet: Neuropsychology Resting-State Intrinsic Network Connectivity and Mind Wandering: Insights From Tasks With Varying Demands Hong He, Yunyun Chen, and Xuemin Zhang Online First Publication, May 12, 2025. https://dx.doi.org/10.1037/neu0001017 CITATION He, H., Chen, Y., & Zhang, X. (2025).. Resting-state intrinsic network connectivity and mind wandering: Insights from tasks with varying demands.. Neuropsychology.



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