The brain as a complex network: assessment of EEG-based functional connectivity patterns in patients with childhood absence epilepsy (notice n° 611409)

détails MARC
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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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