دورية أكاديمية

Validation of network communicability metrics for the analysis of brain structural networks.

التفاصيل البيبلوغرافية
العنوان: Validation of network communicability metrics for the analysis of brain structural networks.
المؤلفون: Andreotti, J., Jann, K., Melie-Garcia, L., Giezendanner, S., Abela, E., Wiest, R., Dierks, T., Federspiel, A.
المصدر: Plos One, vol. 9, no. 12, pp. e115503
سنة النشر: 2014
المجموعة: Université de Lausanne (UNIL): Serval - Serveur académique lausannois
الوصف: Computational network analysis provides new methods to analyze the brain's structural organization based on diffusion imaging tractography data. Networks are characterized by global and local metrics that have recently given promising insights into diagnosis and the further understanding of psychiatric and neurologic disorders. Most of these metrics are based on the idea that information in a network flows along the shortest paths. In contrast to this notion, communicability is a broader measure of connectivity which assumes that information could flow along all possible paths between two nodes. In our work, the features of network metrics related to communicability were explored for the first time in the healthy structural brain network. In addition, the sensitivity of such metrics was analysed using simulated lesions to specific nodes and network connections. Results showed advantages of communicability over conventional metrics in detecting densely connected nodes as well as subsets of nodes vulnerable to lesions. In addition, communicability centrality was shown to be widely affected by the lesions and the changes were negatively correlated with the distance from lesion site. In summary, our analysis suggests that communicability metrics that may provide an insight into the integrative properties of the structural brain network and that these metrics may be useful for the analysis of brain networks in the presence of lesions. Nevertheless, the interpretation of communicability is not straightforward; hence these metrics should be used as a supplement to the more standard connectivity network metrics.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 1932-6203
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/25549088; info:eu-repo/semantics/altIdentifier/eissn/1932-6203; info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_9C56BE738BF55; https://serval.unil.ch/notice/serval:BIB_9C56BE738BF5Test; urn:issn:1932-6203; https://serval.unil.ch/resource/serval:BIB_9C56BE738BF5.P001/REF.pdfTest; http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_9C56BE738BF55Test
DOI: 10.1371/journal.pone.0115503
الإتاحة: https://doi.org/10.1371/journal.pone.0115503Test
https://serval.unil.ch/notice/serval:BIB_9C56BE738BF5Test
https://serval.unil.ch/resource/serval:BIB_9C56BE738BF5.P001/REF.pdfTest
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_9C56BE738BF55Test
حقوق: info:eu-repo/semantics/openAccess ; Copying allowed only for non-profit organizations ; https://serval.unil.ch/disclaimerTest
رقم الانضمام: edsbas.A03E9C20
قاعدة البيانات: BASE
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0115503