ArticleFrontiers in human neuroscience2021
BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Atypical characteristic changes of surface morphology and structural covariance network in developmental dyslexia.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Progressive increase of brain gray matter volume in individuals with regular soccer training.Scientific reports · 2024Article
- Progressive reduction in basal ganglia explains and predicts cerebral structural alteration in type 2 diabetes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Altered morphological characteristics and structural covariance connectivity associated with verbal working memory performance in ADHD children.The British journal of radiology · 2023Article
- SPAMRI: A MATLAB Toolbox for Surface-Based Processing and Analysis of Magnetic Resonance Imaging.Frontiers in human neuroscience · 2022Article
- Mapping white matter structural covariance connectivity for single subject using wavelet transform with T1-weighted anatomical brain MRI.Frontiers in neuroscience · 2022Article
- Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits.Neural plasticity · 2022Article
- Abnormal cerebral metabolism and metabolic connectivity in individuals with heroin dependence: an integrated resting-state PET/fMRI study in large-scale networks.Journal of psychiatry & neuroscience : JPNArticle
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Authors and funding
14 authors.
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Abstract
Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network (CaSCN), winner-take-all and cortex-subcortex covariance network (WTA-CSSCN), and modulation analysis of structural covariance network (MOD-SCN) have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface (GUI) toolkit of brain structural covariance connectivity based on MATLAB platform. The software contained the analysis of SCN, CaSCN, MOD-SCN, and WTA-CSSCN. Also, the group comparison and result-showing modules were included in the software. Furthermore, a simple showing of demo dataset was presented in the work. We hope that the toolkit could help the researchers, especially clinical researchers, to do the brain covariance connectivity analysis in further work more easily.
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