Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048984953> ?p ?o ?g. }
- W3048984953 endingPage "325" @default.
- W3048984953 startingPage "313" @default.
- W3048984953 abstract "Abstract Diffusion-weighted imaging of the brain allows the direct detection of water diffusion in the brain and, therefore, the imaging of white matter fibers. Thus, this imaging has become the preferential tool to investigate brain connectivity. In particular, thanks to the spread of accurate algorithms for fiber reconstruction, recent tractography studies outlined how neurodegenerative diseases such as Alzheimer's disease (AD) would affect the brain. Tractography studies use the graph theory mathematical framework to characterize how different anatomical regions are connected within the brain. In addition, it is possible to investigate the number of connections and their intensity, the brain organization, and the information flow. Results demonstrate that AD is a disruption disease, in that it impairs the brain connectivity and its organization. Future research goals are to summarize this information and eventually combine it with other imaging sources into a robust framework for early diagnosis of AD." @default.
- W3048984953 created "2020-08-21" @default.
- W3048984953 creator A5000517454 @default.
- W3048984953 date "2020-01-01" @default.
- W3048984953 modified "2023-09-25" @default.
- W3048984953 title "Diffusion-weighted imaging (DWI) tractography and Alzheimer's disease" @default.
- W3048984953 cites W1550018017 @default.
- W3048984953 cites W1715858500 @default.
- W3048984953 cites W1857124936 @default.
- W3048984953 cites W1964997677 @default.
- W3048984953 cites W1973397260 @default.
- W3048984953 cites W1979426401 @default.
- W3048984953 cites W1979757232 @default.
- W3048984953 cites W1988954604 @default.
- W3048984953 cites W1994690989 @default.
- W3048984953 cites W1999653836 @default.
- W3048984953 cites W2004108970 @default.
- W3048984953 cites W2009865367 @default.
- W3048984953 cites W2015866962 @default.
- W3048984953 cites W2038003677 @default.
- W3048984953 cites W2044329307 @default.
- W3048984953 cites W2059685157 @default.
- W3048984953 cites W2065731782 @default.
- W3048984953 cites W2068286370 @default.
- W3048984953 cites W2070722739 @default.
- W3048984953 cites W2075496760 @default.
- W3048984953 cites W2087159877 @default.
- W3048984953 cites W2091910928 @default.
- W3048984953 cites W2092407303 @default.
- W3048984953 cites W2093707752 @default.
- W3048984953 cites W2108895118 @default.
- W3048984953 cites W2120259577 @default.
- W3048984953 cites W2135011268 @default.
- W3048984953 cites W2135028448 @default.
- W3048984953 cites W2142059961 @default.
- W3048984953 cites W2147927529 @default.
- W3048984953 cites W2153171432 @default.
- W3048984953 cites W2158244090 @default.
- W3048984953 cites W2167822639 @default.
- W3048984953 cites W2167840686 @default.
- W3048984953 cites W2167969178 @default.
- W3048984953 cites W2169384781 @default.
- W3048984953 cites W2223851414 @default.
- W3048984953 cites W2284191928 @default.
- W3048984953 cites W2310177520 @default.
- W3048984953 cites W2315208472 @default.
- W3048984953 cites W2335094569 @default.
- W3048984953 cites W2412777302 @default.
- W3048984953 cites W2590116164 @default.
- W3048984953 cites W2592641863 @default.
- W3048984953 cites W2593237518 @default.
- W3048984953 cites W2595849452 @default.
- W3048984953 cites W2613088027 @default.
- W3048984953 cites W2780705833 @default.
- W3048984953 cites W2911964244 @default.
- W3048984953 cites W2919115771 @default.
- W3048984953 cites W4211091012 @default.
- W3048984953 doi "https://doi.org/10.1016/b978-0-12-815854-8.00020-3" @default.
- W3048984953 hasPublicationYear "2020" @default.
- W3048984953 type Work @default.
- W3048984953 sameAs 3048984953 @default.
- W3048984953 citedByCount "3" @default.
- W3048984953 countsByYear W30489849532021 @default.
- W3048984953 countsByYear W30489849532022 @default.
- W3048984953 countsByYear W30489849532023 @default.
- W3048984953 crossrefType "book-chapter" @default.
- W3048984953 hasAuthorship W3048984953A5000517454 @default.
- W3048984953 hasConcept C126838900 @default.
- W3048984953 hasConcept C142724271 @default.
- W3048984953 hasConcept C143409427 @default.
- W3048984953 hasConcept C149550507 @default.
- W3048984953 hasConcept C154945302 @default.
- W3048984953 hasConcept C15744967 @default.
- W3048984953 hasConcept C169760540 @default.
- W3048984953 hasConcept C2779097318 @default.
- W3048984953 hasConcept C2779134260 @default.
- W3048984953 hasConcept C2781192897 @default.
- W3048984953 hasConcept C2991673738 @default.
- W3048984953 hasConcept C2992283565 @default.
- W3048984953 hasConcept C3018011982 @default.
- W3048984953 hasConcept C41008148 @default.
- W3048984953 hasConcept C45715564 @default.
- W3048984953 hasConcept C58693492 @default.
- W3048984953 hasConcept C71924100 @default.
- W3048984953 hasConcept C84787856 @default.
- W3048984953 hasConceptScore W3048984953C126838900 @default.
- W3048984953 hasConceptScore W3048984953C142724271 @default.
- W3048984953 hasConceptScore W3048984953C143409427 @default.
- W3048984953 hasConceptScore W3048984953C149550507 @default.
- W3048984953 hasConceptScore W3048984953C154945302 @default.
- W3048984953 hasConceptScore W3048984953C15744967 @default.
- W3048984953 hasConceptScore W3048984953C169760540 @default.
- W3048984953 hasConceptScore W3048984953C2779097318 @default.
- W3048984953 hasConceptScore W3048984953C2779134260 @default.
- W3048984953 hasConceptScore W3048984953C2781192897 @default.
- W3048984953 hasConceptScore W3048984953C2991673738 @default.
- W3048984953 hasConceptScore W3048984953C2992283565 @default.
- W3048984953 hasConceptScore W3048984953C3018011982 @default.