The analysis of cognitive function of temporal lobe tumor patients based on the anatomical sub-networks
2017
This study aims to apply graph theory to investigate the influence
of anatomical networks and recognition function on temporal lobe tumor
patients. Diffusion tensor imaging (DTI) was utilized to construct
brain anatomical networks of patients and healthy controls, then the
whole brain network was divided into three sub networks on the basis
of fiber length, after that, the parameters of global efficiency and
local efficiency were compared and analyzed, furthermore, a simple
analysis of regeneration and disappearance of fiber bundles in temporal
lobe brain tumor patients was given. In addition, the cognitive assessments
of two groups were examined, afterwards, the correlation between cognitive
parameters and nodal efficiency were analyzed, thus we can obtain
the function distribution of patients. The analysis of parameters
of the whole-brain networks reveals that there is no significant difference
between healthy controls and patients, besides, the parameters of
controls are better than patients. The analysis of sub-networks reveals
that there were significant differences only in short-range sub-networks,
the global efficiency of patients is superior to healthy controls
significantly. In terms of local efficiency, the healthy controls
are better than patients, cognitive function of patients is lower
than the normal group. We can come to the conclusion that the regeneration
of fiber bundles inside the brain region and among different brain
regions with long distance make the reorganization of brain function,
temporal lobe tumor patients are significantly lower than healthy
controls in terms of attention, memory and learning ability. The frontotemporal-parietal
brain regions are involved in social cognitive function, the alteration
of information processing efficiency of these special brain regions
can reflect the changes of cognition indirectly.
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