On the Spectrum

excluding children scoring highest on the SRS.
Chapter 5
Figure Legends:
Figure 1. Graphical depiction of the analysis method and key findings.
(A) The static and dynamic functional network connectivity (FNC) approach begin with group independent
component analysis (ICA) to decompose resting-state fMRI data into intrinsic connectivity networks
Figure (ICNs). The 1. Graphical group ICA approach depiction provides of the analysis a measure method of the and component key findings. time courses (A) The (TC) static and and spatial
maps for each subject using the back-reconstruction technique. (B) Static FNC between components is
dynamic estimated functional as the covariance network of the connectivity time courses. (FNC) (C) Dynamic approach FNC begin is estimated with group as the independent
covariance from
windowed portions of the time courses. (D) K-means clustering is used to identify discrete dynamic
connectivity states. (E) Results obtained from k-means clustering are used to determine which state
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a
given subject is occupying at a given time, and summary measures of dynamic states, such as, mean
dwell time (MDT) and fraction of time (FT) spent in each state over the duration of the measurement
period are computed. (F) Highlights of the key findings for pairwise network analyses and summary
measures analyses in association with age, sex and autistic traits.
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