GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics
Functional connectivity has been demonstrated to be varying over time during sensory and cognitive processes. Quantitative examinations of such variations can significantly advance our understanding on large-scale functional organizations and their topological dynamics that support normal brain func...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022818/?tool=EBI |
| _version_ | 1828847990707585024 |
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| author | Meng Cao Ziyan Wu Xiaobo Li |
| author_facet | Meng Cao Ziyan Wu Xiaobo Li |
| author_sort | Meng Cao |
| collection | DOAJ |
| description | Functional connectivity has been demonstrated to be varying over time during sensory and cognitive processes. Quantitative examinations of such variations can significantly advance our understanding on large-scale functional organizations and their topological dynamics that support normal brain functional connectome and can be altered in individuals with brain disorders. However, toolboxes that integrate the complete functions for analyzing task-related brain functional connectivity, functional network topological properties, and their dynamics, are still lacking. The current study has developed a MATLAB toolbox, the Graph Theoretical Analysis of Task-Related Functional Dynamics (GAT-FD), which consists of four modules for sliding-window analyses, temporal mask generation, estimations of network properties and dynamics, and result display, respectively. All the involved functions have been tested and validated using functional magnetic resonance imaging data collected from human subjects when performing a block-designed task. The results demonstrated that the GAT-FD allows for effective and quantitative evaluations of the functional network properties and their dynamics during the task period. As an open-source and user-friendly package, the GAT-FD and its detailed user manual are freely available at https://www.nitrc.org/projects/gat_fd and https://centers.njit.edu/cnnl/gat_fd/. |
| first_indexed | 2024-12-12T22:20:29Z |
| format | Article |
| id | doaj.art-296446d409154180ae8b6ec15ba3106c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T22:20:29Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-296446d409154180ae8b6ec15ba3106c2022-12-22T00:09:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01174GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamicsMeng CaoZiyan WuXiaobo LiFunctional connectivity has been demonstrated to be varying over time during sensory and cognitive processes. Quantitative examinations of such variations can significantly advance our understanding on large-scale functional organizations and their topological dynamics that support normal brain functional connectome and can be altered in individuals with brain disorders. However, toolboxes that integrate the complete functions for analyzing task-related brain functional connectivity, functional network topological properties, and their dynamics, are still lacking. The current study has developed a MATLAB toolbox, the Graph Theoretical Analysis of Task-Related Functional Dynamics (GAT-FD), which consists of four modules for sliding-window analyses, temporal mask generation, estimations of network properties and dynamics, and result display, respectively. All the involved functions have been tested and validated using functional magnetic resonance imaging data collected from human subjects when performing a block-designed task. The results demonstrated that the GAT-FD allows for effective and quantitative evaluations of the functional network properties and their dynamics during the task period. As an open-source and user-friendly package, the GAT-FD and its detailed user manual are freely available at https://www.nitrc.org/projects/gat_fd and https://centers.njit.edu/cnnl/gat_fd/.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022818/?tool=EBI |
| spellingShingle | Meng Cao Ziyan Wu Xiaobo Li GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics PLoS ONE |
| title | GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics |
| title_full | GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics |
| title_fullStr | GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics |
| title_full_unstemmed | GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics |
| title_short | GAT-FD: An integrated MATLAB toolbox for graph theoretical analysis of task-related functional dynamics |
| title_sort | gat fd an integrated matlab toolbox for graph theoretical analysis of task related functional dynamics |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022818/?tool=EBI |
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