scholarly journals Topological Changes in Telechelic Micelles: Flowers versus Stars

2022 ◽  
Author(s):  
Vladimir A. Baulin
Keyword(s):  
Topological Changes

Multipath routing in the presence of frequent topological changes

2001 ◽  
Vol 39 (11) ◽  
pp. 132-138 ◽  
Author(s):  
A. Tsirigos ◽  
Z.J. Haas
Keyword(s):  
Multipath Routing ◽  
Topological Changes

scholarly journals Numerical analysis for phase field simulations of moving interfaces with topological changes

PAMM ◽  
2010 ◽  
Vol 10 (1) ◽  
pp. 565-566
Author(s):  
Sören Bartels ◽  
Rüdiger Müller
Keyword(s):  
Numerical Analysis ◽  
Phase Field ◽  
Moving Interfaces ◽  
Topological Changes

Nuclear Actin Filaments and Their Topological Changes in Frog Oocytes

1995 ◽  
Vol 217 (2) ◽  
pp. 385-394 ◽  
Author(s):  
Vladimir N. Parfenov ◽  
Donna S. Davis ◽  
Galina N. Pochukalina ◽  
Clare E. Sample ◽  
Elena A. Bugaeva ◽  
...  
Keyword(s):  
Actin Filaments ◽  
Nuclear Actin ◽  
Topological Changes

scholarly journals Altered topology of large-scale structural brain networks in chronic stroke

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Bastian Cheng ◽  
Eckhard Schlemm ◽  
Robert Schulz ◽  
Marlene Boenstrup ◽  
Arnaud Messé ◽  
...  
Keyword(s):  
Information Transfer ◽  
Large Scale ◽  
Neuronal Degeneration ◽  
Brain Networks ◽  
Brain Regions ◽  
Local Network ◽  
Structural Connectome ◽  
The Impact ◽  
Structural Brain ◽  
Topological Changes

Abstract Beyond disruption of neuronal pathways, focal stroke lesions induce structural disintegration of distant, yet connected brain regions via retrograde neuronal degeneration. Stroke lesions alter functional brain connectivity and topology in large-scale brain networks. These changes are associated with the degree of clinical impairment and recovery. In contrast, changes of large scale, structural brain networks after stroke are less well reported. We therefore aimed to analyse the impact of focal lesions on the structural connectome after stroke based on data from diffusion-weighted imaging and probabilistic fibre tracking. In total, 17 patients (mean age 64.5 ± 8.4 years) with upper limb motor deficits in the chronic stage after stroke and 21 healthy participants (mean age 64.9 ± 10.3 years) were included. Clinical deficits were evaluated by grip strength and the upper extremity Fugl-Meyer assessment. We calculated global and local graph theoretical measures to characterize topological changes in the structural connectome. Results from our analysis demonstrated significant alterations of network topology in both ipsi- and contralesional, primarily unaffected, hemispheres after stroke. Global efficiency was significantly lower in stroke connectomes as an indicator of overall reduced capacity for information transfer between distant brain areas. Furthermore, topology of structural connectomes was shifted toward a higher degree of segregation as indicated by significantly higher values of global clustering and modularity. On a level of local network parameters, these effects were most pronounced in a subnetwork of cortico-subcortical brain regions involved in motor control. Structural changes were not significantly associated with clinical measures. We propose that the observed network changes in our patients are best explained by the disruption of inter- and intrahemispheric, long white matter fibre tracts connecting distant brain regions. Our results add novel insights on topological changes of structural large-scale brain networks in the ipsi- and contralesional hemisphere after stroke.

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