The brain as a complex network: assessment of EEG-based functional connectivity patterns in patients with childhood absence epilepsy (notice n° 611409)
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fixed length control field | 02562cam a2200265 4500500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250121162521.0 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | fre |
042 ## - AUTHENTICATION CODE | |
Authentication code | dc |
100 10 - MAIN ENTRY--PERSONAL NAME | |
Personal name | Paradiž Leitgeb, Eva |
Relator term | author |
245 00 - TITLE STATEMENT | |
Title | The brain as a complex network: assessment of EEG-based functional connectivity patterns in patients with childhood absence epilepsy |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2020.<br/> |
500 ## - GENERAL NOTE | |
General note | 46 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The human brain is increasingly seen as a dynamic neural system, the function of which relies on a diverse set of connections between brain regions. To assess these complex dynamical interactions, formalism of complex networks was suggested as one of the most promising tools to offer new insight into the brain's structural and functional organization, with a potential also for clinical implications. Irrespective of the brain mapping technique, modern network approaches have revealed fundamental aspects of normal brain-network organization, such as small-world and scale-free patterns, hierarchical modularity, and the presence of hubs. Moreover, the utility of these approaches, to gain a better understanding of neurological diseases, is of great interest. In the present contribution, we first describe the basic network measures and how the brain networks are constructed on the basis of brain activity data in order to introduce clinical neurologists to this new theoretical paradigm. We then demonstrate how network formalism can be used to detect changes in EEG-based functional connectivity patterns in six paediatric patients with childhood absence epilepsy. Notably, our results do not only indicate enhanced synchronicity during epileptic episodes but also reveal specific spatial changes in the electrical activity of the brain. We argue that the network-based evaluation of functional brain networks can provide clinicians with more detailed insight into the activity of a pathological brain and can also be regarded as a support for objective diagnosis and treatment for various neurological diseases. |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | network neuroscience |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | functional connectivity |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | brain networks |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | electroencephalography (EEG) |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | childhood absence epilepsy |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Šterk, Marko |
Relator term | author |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Petrijan, Timotej |
Relator term | author |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Gradišnik, Peter |
Relator term | author |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Gosak, Marko |
Relator term | author |
786 0# - DATA SOURCE ENTRY | |
Note | Epileptic Disorders | Vol 22 | 5 | 2020-05-01 | p. 519-530 | 1294-9361 |
856 41 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://shs.cairn.info/revue-epileptic-disorders-2020-5-page-519?lang=en&redirect-ssocas=7080">https://shs.cairn.info/revue-epileptic-disorders-2020-5-page-519?lang=en&redirect-ssocas=7080</a> |
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