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The brain structural network derived from diffusion magnetic resonance imaging (dMRI) reflects the white matter connections between brain regions, which can quantitatively describe the anatomical connection pattern of the entire brain. The development of structural brain connectome leads to the emergence of a large number of dMRI processing packages and network analysis toolboxes. However, the fully automated network analysis based on dMRI data remains challenging. In this study, we developed a cross-platform MATLAB toolbox named "Diffusion Connectome Pipeline" (DCP) for automatically constructing brain structural networks and calculating topological attributes of the networks. The toolbox integrates a few developed packages, including FSL, Diffusion Toolkit, SPM, Camino, MRtrix3, and MRIcron. It can process raw dMRI data collected from any number of participants, and it is also compatible with preprocessed files from public datasets such as HCP and UK Biobank. Moreover, a friendly graphical user interface allows users to configure their processing pipeline without any programming. To prove the capacity and validity of the DCP, two tests were conducted with using DCP. The results showed that DCP can reproduce the findings in our previous studies. However, there are some limitations of DCP, such as relying on MATLAB and being unable to fixel-based metrics weighted network. Despite these limitations, overall, the DCP software provides a standardized, fully automated computational workflow for white matter network construction and analysis, which is beneficial for advancing future human brain connectomics application research.

Titel:	DCP: A pipeline toolbox for diffusion connectome.
Autor/in / Beteiligte Person:	Huang, W ; Dong, X ; Zhao, T ; Kucikova, L ; Fu, A ; Shu, N
Link:	Full Text Finder (Volltext)
Zeitschrift:	Human brain mapping, Jg. 45 (2024-02-15), Heft 3, S. e26626
Veröffentlichung:	New York : Wiley ; <i>Original Publication</i>: New York : Wiley-Liss, c1993-, 2024
Medientyp:	academicJournal
ISSN:	1097-0193 (electronic)
DOI:	10.1002/hbm.26626
Schlagwort:	Humans Image Processing, Computer-Assisted methods Brain diagnostic imaging Diffusion Magnetic Resonance Imaging methods Connectome methods White Matter diagnostic imaging
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Hum Brain Mapp] 2024 Feb 15; Vol. 45 (3), pp. e26626. MeSH Terms: Connectome* / methods ; White Matter* / diagnostic imaging ; Humans ; Image Processing, Computer-Assisted / methods ; Brain / diagnostic imaging ; Diffusion Magnetic Resonance Imaging / methods References: Bassett, D. S., Brown, J. A., Deshpande, V., Carlson, J. M., & Grafton, S. T. (2011). Conserved and variable architecture of human white matter connectivity. NeuroImage, 54, 1262-1279. ; Behrens, T. E., & Sporns, O. (2012). Human connectomics. Current Opinion in Neurobiology, 22, 144-153. ; Behrens, T. E. J., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., Matthews, P. M., Brady, J. M., & Smith, S. M. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine, 50, 1077-1088. ; Buchanan, C. R., Pernet, C. R., Gorgolewski, K. 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Grant Information: 2022ZD0213300 STI2030-Major Projects; 2021ZD0200500 STI2030-Major Projects; 32271145 National Natural Science Foundation of China; 81871425 National Natural Science Foundation of China; 2231200165 National Natural Science Foundation of China; 210510238 National Natural Science Foundation of China; China Scholarship Council; 2017XTCX04 Fundamental Research Funds for the Central Universities; CNLYB2001 State Key Laboratory of Cognitive Neuroscience and Learning; CNLZD2101 State Key Laboratory of Cognitive Neuroscience and Learning Contributed Indexing: Keywords: DCP; dMRI; diffusion connectome; diffusion tensor imaging; graph theory; structural connectivity; structure network; white matter Entry Date(s): Date Created: 20240220 Date Completed: 20240221 Latest Revision: 20240226 Update Code: 20240226 PubMed Central ID: PMC10877999

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DCP: A pipeline toolbox for diffusion connectome.