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Accepted (AM)Open Access (License Unspecified), Open
Conference proceeding
Analysis of Consistency in Structural and Functional Connectivity of Human Brain
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), v 2020-, pp 1694-1697
01 Apr 2020
PMID: 33324470
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Analysis of structural and functional connectivity of brain has become a fundamental approach in neuroscientific research. Despite several studies reporting consistent similarities as well as differences for structural and resting state (rs) functional connectomes, a comparative investigation of connectomic consistency between the two modalities is still lacking. Nonetheless, connectomic analysis comprising both connectivity types necessitate extra attention as consistency of connectivity differs across modalities, possibly affecting the interpretation of the results. In this study, we present a comprehensive analysis of consistency in structural and rs-functional connectomes obtained from longitudinal diffusion MRI and rs-fMRI data of a single healthy subject. We contrast consistency of deterministic and probabilistic tracking with that of full, positive, and negative functional connectivities across various connectome generation schemes, using correlation as a measure of consistency.
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Details
- Title
- Analysis of Consistency in Structural and Functional Connectivity of Human Brain
- Creators
- Yusuf Osmanlioglu - University of PennsylvaniaJacob A. Alappatt - University of PennsylvaniaDrew Parker - University of PennsylvaniaRagini Verma - University of Pennsylvania
- Publication Details
- 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), v 2020-, pp 1694-1697
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000578080300350
- Scopus ID
- 2-s2.0-85085856355
- Other Identifier
- 991021869014204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging