Human Brain Structural Connectivity Matrices-Ready for Modelling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F22%3A00560334" target="_blank" >RIV/67985807:_____/22:00560334 - isvavai.cz</a>
Alternative codes found
RIV/00023752:_____/22:43920899 RIV/00023001:_____/22:00083444 RIV/68407700:21230/22:00358939
Result on the web
<a href="https://dx.doi.org/10.1038/s41597-022-01596-9" target="_blank" >https://dx.doi.org/10.1038/s41597-022-01596-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-022-01596-9" target="_blank" >10.1038/s41597-022-01596-9</a>

Result language
angličtina
Original language name
Human Brain Structural Connectivity Matrices-Ready for Modelling
Original language description
The human brain represents a complex computational system, the function and structure of which may be measured using various neuroimaging techniques focusing on separate properties of the brain tissue and activity. We capture the organization of white matter fibers acquired by diffusion-weighted imaging using probabilistic diffusion tractography. By segmenting the results of tractography into larger anatomical units, it is possible to draw inferences about the structural relationships between these parts of the system. This pipeline results in a structural connectivity matrix, which contains an estimate of connection strength among all regions. However, raw data processing is complex, computationally intensive, and requires expert quality control, which may be discouraging for researchers with less experience in the field. We thus provide brain structural connectivity matrices in a form ready for modelling and analysis and thus usable by a wide community of scientists. The presented dataset contains brain structural connectivity matrices together with the underlying raw diffusion and structural data, as well as basic demographic data of 88 healthy subjects.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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