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• Clinical Article •
Study of diffuse tensor imaging in patients with PSD based on TBSS technique
CHEN Yu  WU Ming-xiang  CHEN Wen-jiao  GONG Jing-shan  XU Jian-min  LI Gang  ZHANG Jing-zhong  GUO Yi 

DOI:10.12015/issn.1674-8034.2018.04.003.


[Abstract] Objective: To investigate the microstructural abnormalities of white matter in patients with post-stroke depression (PSD) by using the method of tract based spatial statistics (TBSS).Materials and Methods: Whole brain diffusion tensor imaging (DTI) was performed in 28 patients with PSD and 3 control groups, including 18 stroke patients without depression group (PSND), 13 patients with depression group (De) and 11 healthy volunteers (NC). Fractional anisotropy (FA) values were compared between the PSD group and 3 control groups by TBSS.Results: Compared with the 3 control groups, FA values of white matter in the left posterior limb of internal capsule and the splenium of corpus callosum were significantly decreased in the patients with PSD (P<0.05). Inter-group differences with statistical significance were found at the left posterior limb of internal capsule in following: PSD vs NC group (P<0.05); at the splenium of corpus callosum in following: PSD vs NC group (P<0.05), PSD vs De group (P<0.05).Conclusions: As the latest and higher credibility DTI research method, TBSS technology could be used to find the microstructural abnormalities of white matter integrity and disruption of neural connections among regions regulating mood and cognition in patients with early PSD.
[Keywords] Depression；Magnetic resonance imaging；Diffusion tensor imaging；Tract-based spatial statistics

CHEN Yu* Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

WU Ming-xiang Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

CHEN Wen-jiao Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

GONG Jing-shan Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

XU Jian-min Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

LI Gang Department of Neurology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

ZHANG Jing-zhong Department of Radiology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

GUO Yi Department of Neurology, the Second Medical College of Ji’nan University/Shenzhen People's Hospital, Shenzhen 518020, China

*Corresponding to: Chen Y, E-mail: chenyu1722@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of Science Research Project of Shenzhen Science and Technology Innovation Committee No. JCYJ201504031 02020233
Received  2018-01-03
Accepted  2018-03-13
DOI: 10.12015/issn.1674-8034.2018.04.003
DOI:10.12015/issn.1674-8034.2018.04.003.

[1]
Zhang T, Davatzikos C. Optimally-discriminative voxel-based analysis. Med Image Comput Comput Assist Interv, 2010, 13(Pt2): 257-265.
[2]
Cui Z, Zhong S, Xu P, et al. PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci, 2013, 7(42): 1-16.
[3]
Shi Y, Zeng Y, Wu L, et al. A study of the brain abnormalities of post-stroke depression in frontal lobe lesion. Sci Rep, 2017, 7(1): 13203.
[4]
龙洁，刘永珍，蔡焯基,等.卒中后抑郁状态的发生率及相关因素研究.中华神经科杂志, 2001, 34(3): 145-148.
[5]
Kotila M, Numminen H, Waltimo O, Depression after stroke: results of the finnetroke study. Stroke, 1998, 29(2): 368-372.
[6]
Pizzagalli D, Pascual-Marqui RD, Nitschke JB, et al. Anterior cingulate activity as a predictor of degree of treatment response in major depression: evidence from brain electrical tomography analysis. Am J Psychiatry, 2001, 158(3): 405-415.
[7]
Anand A, Li Y, Wang Y, et al. Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study. Biol Psychiatry, 2005, 57(10): 1079-1088.
[8]
Robinson RG, Spalletta G. Poststroke depression: a review. Can J Psychiatry, 2010, 55(6): 341-349.
[9]
Colloby SJ, Firbank MJ, Thomas AJ, et al. White matter changes in late-life depression: a diffusion tensor imaging study. J Affect Disord, 2011, 135(1-3): 216-220.
[10]
Yang S, Hua P, Shang X, et al. A significant risk factor for poststroke depression: the depression-related subnetwork. J Psychiatry Neurosci, 2015, 40(4): 259-268.
[11]
Ye CF, Wu J, Chen XH, et a1. Structural changes of cingulate cortex in post stroke depression. Conf Proc IEEE Eng Med Biol Soc, 2016, 2016: 1099-1102.
[12]
Janssen J, Hulshoff Pol HE, de Leeuw FE, et al. Hippocampal volume and subcortical white matter lesions in late life depression: comparison of early and late onset depress-sion. J Neurol Neurosurg Psychiatry, 2007, 78(6): 638-640.
[13]
Zhang Y, Zhao H, Fang Y, et al. The association between lesion location, sex and post-stroke depression: Meta-analysis. Brain Behav, 2017, 7(10): e00788.
[14]
Aghajani MH, Pashazadeh AM, Mostafavi SH, et al. Size control in the nanoprecipitation process of stable iodine (127I) using microchannel reactor-optimization by artificial neural networks. AAPS Pharm Sci Tech, 2015, 16(5): 1059-1068.
[15]
Li Y, Wu P, Liang F, et a1. The microstructural status of the corpus callosum is associated with the degree of motor function and neurological deficit in stroke patients. PLoS One, 2015, 10(4): e0122615.
[16]
Dacosta-Aguayo R, Graña M, Fernández-Andújar M, et al. Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months. PLoS One, 2014, 9(1): e86119.
[17]
Leritz EC, Salat DH, Milberg WP, et al. Variation in blood pressure is associated with white matter microstructure but not cognition in African Americans. Neuropsychology, 2010, 24(2): 199-208.
[18]
Yang M, Yang YR, Li HJ, et al. Fully automated detection of corticospinal tract damage in chronic stroke patients. Comput Math Methods Med, 2014, 2014: 370849.
[19]
Yasuno F, Taguchi A, Yamamoto A, et al. Microstructural abnormalities in white matter and their effect on depressive symptoms after stroke. Psychiatry Res, 2014, 223(1): 9-14.
[20]
Douven E, Köhler S, Rodriguez MMF, et a1. Imaging markers of post-stroke depression and apathy: a systematic review and meta-analysis. Neuropsychol Rev, 2017, 27(3): 202-219.

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