  Complex problem solving is a high level cognitive process which has been
thoroughly studied over the last decade. The Tower of London (TOL) is a task
that has been widely used to study problem-solving. In this study, we aim to
explore the underlying cognitive network dynamics among anatomical regions of
complex problem solving and its sub-phases, namely planning and execution. A
new brain network construction model establishing dynamic functional brain
networks using fMRI is proposed. The first step of the model is a preprocessing
pipeline that manages to decrease the spatial redundancy while increasing the
temporal resolution of the fMRI recordings. Then, dynamic brain networks are
estimated using artificial neural networks. The network properties of the
estimated brain networks are studied in order to identify regions of interest,
such as hubs and subgroups of densely connected brain regions. The major
similarities and dissimilarities of the network structure of planning and
execution phases are highlighted. Our findings show the hubs and clusters of
densely interconnected regions during both subtasks. It is observed that there
are more hubs during the planning phase compared to the execution phase, and
the clusters are more strongly connected during planning compared to execution.
