Structural connectivity analysis reveals abnormal brain connections in agenesis of the corpus callosum in children.
Objectives: Structural connectivity analysis is an ideal tool to study connections in brain malformations. We aimed to characterize the topological network measures and study sub-networks in children with agenesis of the corpus callosum (AgCC). We hypothesized a more segregated structural network in...
| Publicado en: | European Radiology Vol. 25; no. 5; pp. 1471 - 1479 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109720207&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109720207 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2015 vid: 25 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109720207 NLM25477275 2012969005 10.1007/s00330-014-3541-y NLM25477275 109720207 ppf: 1471 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Structural connectivity analysis reveals abnormal brain connections in agenesis of the corpus callosum in children. aug: au: Meoded, Avner Katipally, Rohan Bosemani, Thangamadhan Huisman, Thierry A G M Poretti, Andrea sug: ab: Objectives: Structural connectivity analysis is an ideal tool to study connections in brain malformations. We aimed to characterize the topological network measures and study sub-networks in children with agenesis of the corpus callosum (AgCC). We hypothesized a more segregated structural network in children with AgCC.Methods: Structural connectivity analysis including topology analysis and network-based-statistics was applied in children with AgCC and age-matched controls. Probabilistic-tractography and brain segmentation into 108 regions were performed. For controls, structural connectivity has been analyzed after excluding the callosal connections ('virtual callosotomy').Results: Ten patients (six males, mean age 6.5 years, SD 4.5 years) and ten controls (mean age 5.9 years, SD 4.7 years) were included. In patients, topology analysis revealed higher clustering coefficient and transitivity and lower small world index and assortativity compared to controls. The bilateral insula were identified as hubs in patients, whereas the cerebellum was detected as a hub only in controls. Three sub-networks of increased connectivity were identified in patients.Conclusions: We found reduced global and increased local connectivity in children with AgCC compared to controls. Neural plasticity in AgCC may attempt to increase the interhemispheric connectivity through alternative decussating pathways other than the corpus callosum.Key Points: • The structural connectivity analysis quantifies white-matter networks within the brain • In callosal agenesis there is reduced global and increased local connectivity • In callosal agenesis, alternative decussating pathways are used for interhemispheric connectivity. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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