ArticleHuman brain mapping2020
A toolbox for brain network construction and classification (BrainNetClass).
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Article
- ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI.NeuroImage · 2025Article
- The efficacy of topological properties of functional brain networks in identifying major depressive disorder.Scientific reports · 2024Article
- The central renin-angiotensin system: A genetic pathway, functional decoding, and selective target engagement characterization in humans.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Topological disruption of low- and high-order functional networks in presbycusis.Brain communications · 2024Article
- Balance-energy of resting state network in obsessive-compulsive disorder.Scientific reports · 2023Article
- A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module.Neural computing & applications · 2023Article
- Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.NeuroImage · 2023Article
- Topological disruption of high-order functional networks in cognitively preserved Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Intelligent diagnosis of major depression disease based on multi-layer brain network.Frontiers in neuroscience · 2023Article
- Neuroimaging biomarkers for detecting schizophrenia: A resting-state functional MRI-based radiomics analysis.Heliyon · 2022Article
- Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.NeuroImage · 2022Article
- White matter connectometry in patients with disorders of consciousness revealed by 7-Tesla magnetic resonance imaging.Brain imaging and behavior · 2022Article
- Cerebral perfusion mediated by thalamo-cortical functional connectivity in non-dominant thalamus affects naming ability in aphasia.Human brain mapping · 2022Article
- Structural filtering of functional data offered discriminative features for autism spectrum disorder.PloS one · 2022Article
- Machine Learning for Detecting Parkinson's Disease by Resting-State Functional Magnetic Resonance Imaging: A Multicenter Radiomics Analysis.Frontiers in aging neuroscience · 2022Article
- Depression Classification Using Frequent Subgraph Mining Based on Pattern Growth of Frequent Edge in Functional Magnetic Resonance Imaging Uncertain Network.Frontiers in neuroscience · 2022Article
- Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks.Brain communications · 2022Article
- Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptom during the COVID-19 pandemic.Neurobiology of stress · 2021Article
- Classification of type 2 diabetes mellitus with or without cognitive impairment from healthy controls using high-order functional connectivity.Human brain mapping · 2021Article
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Authors and funding
10 authors.
Funding
Abstract
Brain functional network has been increasingly used in understanding brain functions and diseases. While many network construction methods have been proposed, the progress in the field still largely relies on static pairwise Pearson's correlation-based functional network and group-level comparisons. We introduce a "Brain Network Construction and Classification (BrainNetClass)" toolbox to promote more advanced brain network construction methods to the filed, including some state-of-the-art methods that were recently developed to capture complex and high-order interactions among brain regions. The toolbox also integrates a well-accepted and rigorous classification framework based on brain connectome features toward individualized disease diagnosis in a hope that the advanced network modeling could boost the subsequent classification. BrainNetClass is a MATLAB-based, open-source, cross-platform toolbox with both graphical user-friendly interfaces and a command line mode targeting cognitive neuroscientists and clinicians for promoting reliability, reproducibility, and interpretability of connectome-based, computer-aided diagnosis. It generates abundant classification-related results from network presentations to contributing features that have been largely ignored by most studies to grant users the ability of evaluating the disease diagnostic model and its robustness and generalizability. We demonstrate the effectiveness of the toolbox on real resting-state functional MRI datasets. BrainNetClass (v1.0) is available at https://github.com/zzstefan/BrainNetClass.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.