Yuwei Chen1 and Nian Liu1
1North Sichuan Medical College, Nanchong, China
Synopsis
Objective:
Explore the characteristics of brain white matter network in non-suicidal
self-injury patients.
Methods:
The diffusion tensor imaging were prospectively collected form 30 adolescent
patients with NSSI. The data was processed by software. Two independent sample
t-test and partial correlation analysis were used to compare network metrics and
clinical symptoms.
Results:
There was no significant difference in global network metrics, but there were
significant differences in nodal network metrics, including nodal efficiency,
nodal degree centrality and nodal shortest path length (all P<0.05).
Conclusion:
These finding provide new insights into the neural circuit mechanism of
adolescent NSSI patients.
Objective
To explore the
characteristics of brain white matter network in adolescents with first-episode
non-suicidal self-injury (NSSI) by diffusion tensor imaging.Methods
The
diffusion tensor imaging data, self-rating anxiety
scale and self-injury
behavior scale were prospectively collected from 30 adolescent patients with
NSSI and 29 sex-and age-matched healthy controls. The data is preprocessed by
FSL and PANDA software, and the fractional anisotropy is obtained to
establish the network matrix. The white matter network is analyzed by graph
theory using Gretna software, and the global and nodal network metrics are
calculated. Two independent samples t-test was used to compare the differences
of topological metrics of white matter network between the two groups after
controlling for age, gender and education years. Bonferroni criterion was used
for multiple comparisons of the topological metrics. Partial correlation
analysis among the topological metrics, self-rating anxiety scale and
self-injury behavior scale were performed.Results
There
was no significant difference in global network metrics between NSSI group and healthy
controls, but there were significant differences in nodal network metrics,
including nodal efficiency, nodal degree
centrality and nodal shortest
path length (all P<0.05). Compared with
the healthy controls, the NSSI patients showed decreased nodal efficiency and
increased shortest path length involving right orbital middle frontal gyrus,
left triangular inferior frontal gyrus, right insular, left median cingulate and
paracingulate gyrus, right cuneus, right superior occipital gyrus, right
inferior parietal angular gyrus, right angular gyrus and left thalamus, and
increased shortest path length in left caudate nucleus. The NSSI patients
showed decreased nodal degree centrality involving right orbital middle frontal
gyrus, right insular, left median cingulate and paracingulate gyrus, left
cuneus, right angular gyrus and left thalamus, and increased nodal degree centrality
in right superior frontal gyrus. The clinical symptoms were negatively
correlated with the nodal degree centrality of the right superior frontal gyrus,
the node efficiency of the left median cingulate and paracingulate gyrus,
positively correlated with the nodal shortest path length of the left
triangular inferior frontal gyrus, left median cingulate and paracingulate gyrus,
and the nodal centrality of the left thalamus (P < 0.05).Conclusion
Adolescent
patients with first-episode NSSI have characteristic destruction of nodal white
matter network, involving ventrolateral prefrontal lobe, limbic system,
occipital lobe, inferior parietal lobule and insular, which is related to
anxiety and self-injury behavior. These finding provide new insights into the
pathogenesis of adolescent NSSI patients.Acknowledgements
No acknowledgement found.References
No reference found.