Review Article
Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges
Table 1
Literature
summary of the different networks found in network investigation of fMRI data.
Methods—HC: hierarchical clustering, SOM: self-organizing map algorithm, ICA:
independent component analysis. Networks—M/SM: motor/sensorimotor, V: visual,
A: auditory, DM: default mode, dAtt: dorsal attentional, vAtt: ventral
attentional, EC: executive control. Networks found are denoted by “X.” (*) In
addition to primary cortices (sensorimotor, visual, and auditory), the clusters
shown by Cordes et al. [63] were essentially
bilateral single regions (thalami, fusiform gyri, and frontal gyri) which were
parts of different networks of reference. () Except for
the sensorimotor system, the networks identified by
Peltier et al. [61] were not properly labeled; the
spatial organizations of the maps shown seemed similar to the attentional
networks. () The results
presented by Calhoun et al. [73] were partial, mentioning the
extraction of other networks that they did not show neither comment; another
study on similar datasets showed that the sensorimotor and the dorsal
attentional networks might be detected too [74].