FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2952883127> ?p ?o ?g. }

• W2952883127 endingPage "867" @default.
• W2952883127 startingPage "846" @default.
• W2952883127 abstract "The human brain can be represented as a graph in which neural units such as cells or small volumes of tissue are heterogeneously connected to one another through structural or functional links. Brain graphs are parsimonious representations of neural systems that have begun to offer fundamental insights into healthy human cognition, as well as its alteration in disease. A critical open question in network neuroscience lies in how neural units cluster into densely interconnected groups that can provide the coordinated activity that is characteristic of perception, action, and adaptive behaviors. Tools that have proven particularly useful for addressing this question are community detection approaches, which can identify communities or modules: groups of neural units that are densely interconnected with other units in their own group but sparsely interconnected with units in other groups. In this paper, we describe a common community detection algorithm known as modularity maximization, and we detail its application to brain graphs constructed from neuroimaging data. We pay particular attention to important algorithmic considerations, especially in recent extensions of these techniques to graphs that evolve in time. After recounting a few fundamental insights that these techniques have provided into brain function, we highlight potential avenues of methodological advancements for future studies seeking to better characterize the patterns of coordinated activity in the brain that accompany human behavior. This tutorial provides a reader with an introduction to theoretical considerations pertinent to the generation of brain graphs, an understanding of modularity maximization for community detection, a resource of statistical measures that can be used to characterize community structure, and an appreciation of the usefulness of these approaches in uncovering behaviorally relevant network dynamics in neuroimaging data." @default.
• W2952883127 created "2019-06-27" @default.
• W2952883127 creator A5009266404 @default.
• W2952883127 creator A5015567863 @default.
• W2952883127 creator A5018620356 @default.
• W2952883127 creator A5035372837 @default.
• W2952883127 creator A5085933261 @default.
• W2952883127 date "2018-05-01" @default.
• W2952883127 modified "2023-10-15" @default.
• W2952883127 title "Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function" @default.
• W2952883127 cites W1498936773 @default.
• W2952883127 cites W1565549370 @default.
• W2952883127 cites W1647709314 @default.
• W2952883127 cites W1692247819 @default.
• W2952883127 cites W1831254230 @default.
• W2952883127 cites W1902335101 @default.
• W2952883127 cites W1907418661 @default.
• W2952883127 cites W1924326075 @default.
• W2952883127 cites W1930572491 @default.
• W2952883127 cites W1950473838 @default.
• W2952883127 cites W1968174734 @default.
• W2952883127 cites W1968290509 @default.
• W2952883127 cites W1968439746 @default.
• W2952883127 cites W1968847543 @default.
• W2952883127 cites W1971421925 @default.
• W2952883127 cites W1979426401 @default.
• W2952883127 cites W1983485726 @default.
• W2952883127 cites W1985625141 @default.
• W2952883127 cites W1987924998 @default.
• W2952883127 cites W1988396475 @default.
• W2952883127 cites W1992007613 @default.
• W2952883127 cites W1992107140 @default.
• W2952883127 cites W1993673892 @default.
• W2952883127 cites W1995831578 @default.
• W2952883127 cites W1996379253 @default.
• W2952883127 cites W1996498097 @default.
• W2952883127 cites W1997222702 @default.
• W2952883127 cites W1999174202 @default.
• W2952883127 cites W1999653836 @default.
• W2952883127 cites W2000133863 @default.
• W2952883127 cites W2001996043 @default.
• W2952883127 cites W2002807356 @default.
• W2952883127 cites W2003127793 @default.
• W2952883127 cites W2004824191 @default.
• W2952883127 cites W2005933475 @default.
• W2952883127 cites W2007193596 @default.
• W2952883127 cites W2007581301 @default.
• W2952883127 cites W2009579332 @default.
• W2952883127 cites W2009650955 @default.
• W2952883127 cites W2010432070 @default.
• W2952883127 cites W2011243436 @default.
• W2952883127 cites W2013013263 @default.
• W2952883127 cites W2014259951 @default.
• W2952883127 cites W2015953751 @default.
• W2952883127 cites W2018774511 @default.
• W2952883127 cites W2018937381 @default.
• W2952883127 cites W2020698869 @default.
• W2952883127 cites W2021947606 @default.
• W2952883127 cites W2021969242 @default.
• W2952883127 cites W2025543856 @default.
• W2952883127 cites W2027803969 @default.
• W2952883127 cites W2029519094 @default.
• W2952883127 cites W2036785860 @default.
• W2952883127 cites W2037902675 @default.
• W2952883127 cites W2040701908 @default.
• W2952883127 cites W2043538065 @default.
• W2952883127 cites W2043729845 @default.
• W2952883127 cites W2043783389 @default.
• W2952883127 cites W2044775606 @default.
• W2952883127 cites W2047616288 @default.
• W2952883127 cites W2047940964 @default.
• W2952883127 cites W2048856090 @default.
• W2952883127 cites W2050365551 @default.
• W2952883127 cites W2052025169 @default.
• W2952883127 cites W2055139905 @default.
• W2952883127 cites W2055559553 @default.
• W2952883127 cites W2058046532 @default.
• W2952883127 cites W2060464767 @default.
• W2952883127 cites W2061099285 @default.
• W2952883127 cites W2061564920 @default.
• W2952883127 cites W2061744336 @default.
• W2952883127 cites W2061752069 @default.
• W2952883127 cites W2063435176 @default.
• W2952883127 cites W2067456724 @default.
• W2952883127 cites W2074617510 @default.
• W2952883127 cites W2081015195 @default.
• W2952883127 cites W2082520038 @default.
• W2952883127 cites W2082582863 @default.
• W2952883127 cites W2083426690 @default.
• W2952883127 cites W2085009317 @default.
• W2952883127 cites W2085394612 @default.
• W2952883127 cites W2086549489 @default.
• W2952883127 cites W2088492885 @default.
• W2952883127 cites W2089572795 @default.
• W2952883127 cites W2090495290 @default.
• W2952883127 cites W2093290031 @default.
• W2952883127 cites W2094426896 @default.
• W2952883127 cites W2095035319 @default.

• next