NDLI: Analysis of cortical thickness in patients with posttraumatic stress disorder due to mining disaster

Content Provider	IEEE Xplore Digital Library
Author	Yijun Li Hong Yin Shuyi Wang Junying Zhang Hongbing Lu
Copyright Year	2010
Description	Author affiliation: Department of Radiology, Xijing Hospital, China (Hong Yin) \|\| Department of Computer Science, Xidian University, China (Junying Zhang) \|\| Departemnt of Computer Application, the Fourth Military Medical University, China (Yijun Li; Shuyi Wang; Hongbing Lu)
Abstract	MRI studies in post-traumatic stress disorder (PTSD) have focused primarily on manually-based hippocampal volumetry. However, the variation in cortical thickness and the relationship between the cortical volume and thickness alteration has not been well investigated in PTSD. In this paper, Laplacian method was first utilized to estimate cortical thickness after automatic segmentation of grey matter from MR images. Then the thickness maps were analyzed by SPM5, as well as volumetric analysis. Comparison between 15 survivors of mining disaster with PTSD and 10 survivors without PTSD, from the same accident, indicates that in the superior frontal gyrus and cuneus, the cortical thickness of survivors with PTSD is significantly larger than those without PTSD. However, local reduction in cortical volume is observed in hippocampus, which suggests indirect relationship between the two kinds of structural alterations.
Starting Page	79
Ending Page	82
File Size	565974
Page Count	4
File Format	PDF
ISBN	9781424480111
e-ISBN	9781424480135
DOI	10.1109/MIACA.2010.5528500
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Hospitals Magnetic resonance imaging Psychology History Application software Stress Hippocampus Accidents Biomedical imaging
Content Type	Text
Resource Type	Article

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