yadi li1, Haibo Dong1, Feng Li1, Gaoyan Wang1, Wenwen Shen2, Wenhua Zhou2, Jianbing Zhang2, Longhui Li2, and Chaogan Yan3
1The Affiliated Ningbo Medical Treatment Center Lihuili Hospital of Ningbo University, Ningbo, China, People's Republic of, 2Ningbo Addiction Research and Treatment Center, Ningbo, China, People's Republic of, 3Institute of psychology, Chinese academy of sciences, Beijing, China, People's Republic of
Synopsis
This study detected microstructural changes of amygdala and hippocampus in methamphetamine(METH) users with psychosis by analyzing FA index on diffusion weighted imaging, while these users presented no evident volume reduction in these 2 structures. These 2 structures play a vital part in METH psychosisPurpose
Although
morphological changes of subcortical
gray matter structures have been discovered in subjects with methamphetamine(METH)
psychosis[1, 2] , the volume changes of
amygdala and hippocampus in METH psychosis is still in debate. Fewer neuroimaging
studies have focused on the microstructure of these structures in METH users. The
purpose of this study is to evaluate the fractional anisotrophy (FA) index on
diffusion weighted imaging (DTI), as well as volume, of subcortical gray matter
structures in METH users with psychosis.
Methods
Human
Subjects: Eighteen subjects with
METH psychosis (age, 34.2±7.1 yrs; duration of METH use, 3.98±2.58 yrs) and 18
normal volunteers (age, 30.2±6.8 yrs; sex, parental socio-economic background,
and IQ matched) were enrolled. MRI Acquisition: MR imaging was employed
on 3T MR scanner (GE Discovery MR750). 3D-FSPGRIR acquisition was performed to
obtain structural T1WI (FOV = 256 × 256 mm2, matrix = 256 × 256, resolution = 1
× 1 × 1 mm3, slices = 192, TR/TE/TI = 7.4/3.2/450 ms, and bandwidth = 27.78
Hz/pixel). SSSE-EPI acquisition was used to obtain DTI (FOV = 256 × 256 mm2,
matrix = 128 × 128, resolution = 2 × 2 × 2 mm3, slices = 68, TR/TE = 8175/80.8
ms, FA = 90°, bandwidth = 250 Hz/pixel). Image Analyses: FSL-First
carried out with FSL tools was used to assess all subcortical gray matter
structures, i.e. hippocampus, putamen, caudate, amygdala, accumbens, pallidum (Figure 1).
A comparison of the volume and mean FA values of these structures was carried
out between METH and control groups using ANCOVA. Correlation analysis were
performed between volume, FA of each structure and METH use duration, dose, and
clinical psychotic measures, such as Hamilton Anxiety Scale (HAMA) and Brief
Psychiatric Rating Scale (BPRS). Stepwise Binary logistic regression analysis
and receiver-operating characteristic (ROC) curves were applied to evaluate the
diagnostic significance of subcortical gray matter structure.
Results
No volume
differences in subcortical gray matter structures were detected between METH
and normal control groups. The METH group was witnessed
a significant reduction in FA values of bilateral amygdalae and hippocampi (
p<0.05, FDR corrected), while the degree
of FA reduction was the most severe in the left amygdala. No evidence
showed a correlation between subcortical gray matter structures and METH use
duration, dose, as well as clinical psychotic measures. In logistical
regression analysis, only left amygdala FA value entered the final model with
an accuracy of 80.56% (Figure 2).
Discussion
In this study, we demonstrate alteration of
microstructure in bilateral amygdalae and hippocampi in METH users with psychosis,
who presents no evident volume changes in the two structures. The finding agrees
with existing study results that hippocampus and amygdala do play a role in the
pathophysiology of psychostimulant addiction, affective psychosis and schizophrenia
[1].
Based on [3]), we further deduce a hypothesis: Reduced FA in amygdala may indicate enhanced
information transmission involved in high relative activity in amygdala, which is
believed to produce psychotic illness[4].
Damage to hippocampal neurogenesis in METH
users has been revealed [5], which may cause the FA reduction in hippocampus.
Conclusion
This
study indicates that DTI-FA can be useful in detecting amygdala and hippocampal
microstructural changes prior to presentation of morphologcial changes in METH users with psychosis. The prominent FA reduction in amygdala rather
than that in hippocampus could be relatively
specific characteristics of METH psychosis. Subregions
of amygdala and hippocampus is the focus of further neuroimaging studies.
Acknowledgements
No acknowledgement found.References
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