A found that there are six clusters: Pulvinar,

A third perspective discussed
is that neural structures that sub serve facial recognition go beyond FFA and
is actually a network of neural elements that distributes the role (Haxby et
al, 2000). This model explores the core system, involving FFA, the
inferior-occiptial-gyrus (occipital-face-area, OFA) and the
superior-temporal-sulucs (STS) and again using fMRI’s with TMS to provide
evidence, Haxby et al, (2000,2010) present a hierarchally-organised face
perception system. Each thought to complement each other and have distinctive
roles in attaining face perception.  This
also includes an extended system such as the amygdala, which aids in emotion
perception. It is hypothesised that the OFA fulfils early facial feature analysis,
whilst FFA categorises and identifies faces. Changeable information such as
gaze and expression are associated with STS. Similar to previous ideologies
Haxby et al (2000) predict that FFA is highly sensitive to facial stimuli,
which has been shown to be correct (Kanwisher et al, 1997), (Tong et al, 2000).

The documented development of the FFA has shown that the right FFA in 11 year
olds was half the size of 12-16 year olds and a third of adult size (Golaruai
et al, 2006) but that face processing is successfully attained at 4 years of
age (Kanwisher &
Yovel, 2009). Therefore, leaves the question as to why the FFA changes
dramatically even after face recognition is present, it is thought to be linked
to the increasing connectivity to the other core regions, STS and OFA. Rossion
et al (2012) used large scale fMRI’s to provide evidence of neural structures
involved with facial recognition. They found that there are six clusters:
Pulvinar, OFA, FFA, posterior temporal sulcus, amygdala, and anterior
inferotemporal cortex, all being strongly right lateralised. Results showed
that the OFA pointed to a higher degree of face-selectivity, face-sensitivity
emerges first in the right FFA. This research indicates the need to rely on
different statistical thresholds across the brain and encourages in-depth
single participation analyses in which all areas is considered in each
individual brain. Therefore, the growth of the FFA and all other regions may be
due to individual growth and increasing connectivity.

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