FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366331479> ?p ?o ?g. }

• W4366331479 abstract "This thesis describes how the brain responds to damage in two neurological diseases. By studying both MS and glioma, it was found that although both diseases show specific characteristics, patterns of altered brain activity, connectivity and networks were partially overlapping, which increased our knowledge on the overall reaction of the brain to neurological damage and its relation to cognitive (dys)functioning. A wide range of methods were used to show alterations in brain activity, connectivity and networks in patients with MS and glioma that are clearly relevant for cognition. An important take home message that can be deducted from this thesis is that structural and functional connectivity do not quantify the same conceptual construct, while there is clinically relevant information in their (altered) interrelations. In MS, structural and functional damage should be considered as separately timed processes, where altered coupling between the two is related to cognitive impairment. In glioma, the tumor causes structural and functional alterations that can be seen throughout the brain, not only in the location of the tumor itself. More specifically, across disorders, it seems that activity seems to be affected mainly locally which may coincide with hyperconnectivity of specific regions, whereas functional network topology patterns seem to predominantly show more global differences when compared to healthy controls. Additionally, intrinsic brain network characteristics, i.e. brain network characteristics of healthy controls, may indicate disease severity which contributes to our understanding of the relationship between normal brain functioning and neurological diseases. Longitudinally, global functional network measures can provide additional predictive value for cognitive decline. Unfortunately, such longitudinal data remains rare, therefore computational modeling can be deployed when sufficiently optimized. By doing so, crucial information on which measures could be used to predict future cognitive decline can be gained and with that take some of the uncertainty away for patients that direly need some security with regard to their individual disease process." @default.
• W4366331479 created "2023-04-20" @default.
• W4366331479 creator A5007834957 @default.
• W4366331479 date "2023-04-18" @default.
• W4366331479 modified "2023-10-18" @default.
• W4366331479 title "Brain networks in multiple sclerosis and glioma: the road towards individualized care" @default.
• W4366331479 doi "https://doi.org/10.5463/thesis.38" @default.
• W4366331479 hasPublicationYear "2023" @default.
• W4366331479 type Work @default.
• W4366331479 citedByCount "0" @default.
• W4366331479 crossrefType "dissertation" @default.
• W4366331479 hasAuthorship W4366331479A5007834957 @default.
• W4366331479 hasBestOaLocation W43663314791 @default.
• W4366331479 hasConcept C118552586 @default.
• W4366331479 hasConcept C142724271 @default.
• W4366331479 hasConcept C15744967 @default.
• W4366331479 hasConcept C169760540 @default.
• W4366331479 hasConcept C169900460 @default.
• W4366331479 hasConcept C2777670902 @default.
• W4366331479 hasConcept C2778227246 @default.
• W4366331479 hasConcept C2779134260 @default.
• W4366331479 hasConcept C2780640218 @default.
• W4366331479 hasConcept C3018011982 @default.
• W4366331479 hasConcept C502942594 @default.
• W4366331479 hasConcept C71924100 @default.
• W4366331479 hasConceptScore W4366331479C118552586 @default.
• W4366331479 hasConceptScore W4366331479C142724271 @default.
• W4366331479 hasConceptScore W4366331479C15744967 @default.
• W4366331479 hasConceptScore W4366331479C169760540 @default.
• W4366331479 hasConceptScore W4366331479C169900460 @default.
• W4366331479 hasConceptScore W4366331479C2777670902 @default.
• W4366331479 hasConceptScore W4366331479C2778227246 @default.
• W4366331479 hasConceptScore W4366331479C2779134260 @default.
• W4366331479 hasConceptScore W4366331479C2780640218 @default.
• W4366331479 hasConceptScore W4366331479C3018011982 @default.
• W4366331479 hasConceptScore W4366331479C502942594 @default.
• W4366331479 hasConceptScore W4366331479C71924100 @default.
• W4366331479 hasLocation W43663314791 @default.
• W4366331479 hasOpenAccess W4366331479 @default.
• W4366331479 hasPrimaryLocation W43663314791 @default.
• W4366331479 hasRelatedWork W1971654840 @default.
• W4366331479 hasRelatedWork W1995863883 @default.
• W4366331479 hasRelatedWork W2103717170 @default.
• W4366331479 hasRelatedWork W2346521269 @default.
• W4366331479 hasRelatedWork W2945550369 @default.
• W4366331479 hasRelatedWork W3089837730 @default.
• W4366331479 hasRelatedWork W3174481377 @default.
• W4366331479 hasRelatedWork W4200425978 @default.
• W4366331479 hasRelatedWork W4319345777 @default.
• W4366331479 hasRelatedWork W4321015023 @default.
• W4366331479 isParatext "false" @default.
• W4366331479 isRetracted "false" @default.
• W4366331479 workType "dissertation" @default.