A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Lord LD, Allen P, Expert P, Howes O, Lambiotte R, et al. (2011) Characterization of the anterior 434 cingulate's role in the at-risk mental state using graph theory. Neuroimage 56: 1531-1539. 435 21. ... One such method that 74 has received increasing attention in the last decade is graph theory and the study of complex networks. 75 One of the core strengths of graph theory in brain network modeling lies ... number of edges in the graph, j i and k i denote the degree of the nodes at both ends of 233 the edge i. 234 Commonly, networks can be classified according to different architectures. ...doi:10.1089/brain.2014.0292 pmid:25420048 fatcat:4qmvvyawmvhodlg4zm2c3hebvi
At a coarser level, we study the structural differences in the functional networks of a healthy cohort and one made of people at-risk of developing a mental disorder during a verbal fluency task. ... Recently, the study of the emerging properties of complex systems has been enriched by a new toolbox derived by an extension of graph theory, namely, complex network science. ... this chapter has been published in: "Characterization of the anterior cingulate's role in the at-risk mental state using graph theory", L-D. ...doi:10.25560/9755 fatcat:36i627ub5fh7rjt6fdgfxw3oa4
between the groups: for 'food versus nonfood', activated were seven areas functionally involved in the integration of somatosensory experience with internal state, processing of sensations, cognitions, ... One area significantly differed between the groups in response to the comparison of 'high energy food versus low energy food'. ... at risk for experiencing anxiety and using palatable food to regulate it. ...doi:10.7916/d8ws8s2g fatcat:h5sx6xdhp5eyjjrefk2sohb544