Diffusion tensor imaging in euthymic bipolar disorder - A tract-based spatial statistics study

被引:21
|
作者
Haarman, Bartholomeus C. M. [1 ,2 ]
Riemersma-Van der Lek, Rixt F. [1 ]
Burger, Huibert [1 ,3 ]
de Groot, Jan Cees [4 ]
Drexhage, Hemmo A. [5 ]
Nolen, Willem A. [1 ]
Cerliani, Leonardo [6 ,7 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Psychiat, CC44,POB 30-001, NL-9700 RB Groningen, Netherlands
[2] Radiol Morphol Solut, Berkel, Netherlands
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Gen Practice, Groningen, Netherlands
[4] Univ Groningen, Univ Med Ctr Groningen, Dept Radiol, Groningen, Netherlands
[5] Erasmus MC, Dept Immunol, Rotterdam, Netherlands
[6] Univ Groningen, Univ Med Ctr Groningen, Neuroimaging Ctr, Groningen, Netherlands
[7] Inst Cerveau & Moelle Epiniere, Paris, France
关键词
Bipolar disorder; Diffusion tensor imaging; Tbss; Lithium; Gsk-3; WHITE-MATTER INTEGRITY; VOXEL-BASED MORPHOMETRY; ABNORMALITIES; BRAIN; LITHIUM; ADULTS; DYSMYELINATION; EVOLUTION; SYSTEM; CORTEX;
D O I
10.1016/j.jad.2016.05.040
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: In the current DTI study we compared euthymic bipolar I disorder (BD-I) patients and healthy controls (HC). We subsequently divided the total patient group into lithium-users and non-lithium-users and estimated differences across the three groups. Methods: Twenty-one euthymic BD-I patients and twenty-two HC participants were included in psychiatric interviews and MRI image acquisition (diffusion-weighted (DW) and T1-weighted scans). Fractional anisotropy (FA), radial, mean and axial diffusivity (RD, MD, AD) were estimated from the DW data, using DTI. These measures were then compared between groups using FSL Tract Based Spatial Statistics (TBSS). Correlations with age at onset, number of episodes and depression score were analyzed. Results: A difference in FA, MD, RD and AD between the whole sample of euthymic BD-I patients and healthy controls could not be detected. Amongst others, lithium-using patients demonstrated a higher FA and lower RD when compared to non-lithium-using BD-I patients in the corpus callosum and left anterior corona radiata. Widespread clusters demonstrated negative FA associations and positive RD and MD associations with minor depressive symptoms. Limitations: Patients were naturalistically treated. Although the sample size is comparable to several other DTI studies, a larger sample size would have been benificial. TBSS and DTI have their own limitations. Conclusion: Our findings support the theory that previously described DTI-based microstructural differences between HC and BD patients could be less pronounced in euthymic BD patients. Differences in FA between patients using and not using lithium suggest a counteracting effect of lithium on white matter microstructural disturbances. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:281 / 291
页数:11
相关论文
共 50 条
  • [21] Disorganization of white matter architecture in major depressive disorder: a meta-analysis of diffusion tensor imaging with tract-based spatial statistics
    Chen, Guangxiang
    Hu, Xinyu
    Li, Lei
    Huang, Xiaoqi
    Lui, Su
    Kuang, Weihong
    Ai, Hua
    Bi, Feng
    Gu, Zhongwei
    Gong, Qiyong
    SCIENTIFIC REPORTS, 2016, 6
  • [22] White matter diffusivity changes in obsessive-compulsive disorder: a diffusion tensor MRI study with Tract-Based Spatial Statistics
    Giacosa, C.
    Ruffini, C.
    Radaelli, D.
    Poletti, S.
    Benedetti, F.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2011, 21 : S322 - S323
  • [23] Diffusion tensor imaging: Tract based spatial statistics study in essential tremor
    Saini, Jitender
    Bagepally, Bhavani Shankara
    Bhatt, Maya Dattatraya
    Chandran, Vijay
    Bharath, Rose Dawn
    Prasad, Chandrajit
    Yadav, Ravi
    Pal, Pramod Kumar
    PARKINSONISM & RELATED DISORDERS, 2012, 18 (05) : 477 - 482
  • [24] Diffusion tensor imaging analysis with tract-based spatial statistics of the white matter abnormalities after epilepsy surgery
    Nguyen, D.
    Vargas, M. I.
    Khaw, N.
    Seeck, M.
    Delavelle, J.
    Lovblad, K. O.
    Haller, S.
    EPILEPSY RESEARCH, 2011, 94 (03) : 189 - 197
  • [25] Structural Neural Phenotype of Autism: Preliminary Evidence from a Diffusion Tensor Imaging Study Using Tract-Based Spatial Statistics
    Jou, R. J.
    Mateljevic, N.
    Kaiser, M. D.
    Sugrue, D. R.
    Volkmar, F. R.
    Pelphrey, K. A.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2011, 32 (09) : 1607 - 1613
  • [26] Tract-based spatial statistics (TBSS) of diffusion tensor imaging data in alcohol dependence: Abnormalities of the motivational neurocircuitry
    Yeh, Ping-Hong
    Simpson, Ken
    Durazzo, Timothy C.
    Gazdzinski, Stefan
    Meyerhoff, Dieter J.
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2009, 173 (01) : 22 - 30
  • [27] Diffusion tensor imaging with tract-based spatial statistics reveals local white matter abnormalities in preterm infants
    Anjari, Mustafa
    Srinivasan, Latha
    Allsop, Joanna M.
    Hajnal, Joseph V.
    Rutherford, Mary A.
    Edwards, A. David
    Counsell, Serena J.
    NEUROIMAGE, 2007, 35 (03) : 1021 - 1027
  • [28] A Diffusion Tensor Imaging Study on White Matter Abnormalities in Patients with Type 2 Diabetes Using Tract-Based Spatial Statistics
    Xiong, Y.
    Sui, Y.
    Xu, Z.
    Zhang, Q.
    Karaman, M. M.
    Cai, K.
    Anderson, T. M.
    Zhu, W.
    Wang, J.
    Zhou, X. J.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2016, 37 (08) : 1462 - 1469
  • [29] Altered white matter microstructure identified with tract-based spatial statistics in irritable bowel syndrome: a diffusion tensor imaging study
    Jin Fang
    Shumei Li
    Meng Li
    Queenie Chan
    Xiaofen Ma
    Huanhuan Su
    Tianyue Wang
    Wenfeng Zhan
    Jianhao Yan
    Ming Xu
    Yaxi Zhang
    Luxian Zeng
    Junzhang Tian
    Guihua Jiang
    Brain Imaging and Behavior, 2017, 11 : 1110 - 1116
  • [30] Altered white matter microstructure identified with tract-based spatial statistics in irritable bowel syndrome: a diffusion tensor imaging study
    Fang, Jin
    Li, Shumei
    Li, Meng
    Chan, Queenie
    Ma, Xiaofen
    Su, Huanhuan
    Wang, Tianyue
    Zhan, Wenfeng
    Yan, Jianhao
    Xu, Ming
    Zhang, Yaxi
    Zeng, Luxian
    Tian, Junzhang
    Jiang, Guihua
    BRAIN IMAGING AND BEHAVIOR, 2017, 11 (04) : 1110 - 1116