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Gray Matter Volume Abnormalities in the Reward System in First-Episode Patients with Major Depressive Disorder

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Book cover The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) (AMLTA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

Abstract

In current time, the crowd of depression has increased rapidly across colleges and universities in China. They often suffer anhedonia, social failure, drug abuse and so on. The recent reports points out that the brain reward system showed damaged in patients with depression, so the identification of the dysfunction in the brain reward system is really crucial. By analyzing brain magnetic resonance imaging (MRI) data, this article aimed to identify the gray matter volume (GMV) abnormalities in brain reward system between first-episode medication-naive patients with major depressive disorder (MDD) and healthy controls (HCs). 14 medication-naive participants with MDD aged 19–24 years (6 males, 8 females) and 18 healthy controls aged 19–24 years (9 males, 9 females) were recruited. We used voxel-based morphometry (VBM) to analyze brain imaging data. Then, two sample t-test was applied to detect GM abnormalities in MDD compared to HCs. This study found that MDD showed increased gray matter volume (GMV) in putamen, precuneus and amygdala in right hemisphere compared to HCs. Furthermore, MDD showed decreased GMV in left rectus, right orbital medial prefrontal cortex (omPFC), left superior temporal gyrus (STG) and left insula compared to HCs. However, no significant changes were found in caudate nucleus. These experimental results show that the depression disorder causes extensive damage in reward system and subcortical brain regions, and the alterations in the rectus, the omPFC, STG, precuneus and amygdala, may be characters of MDD in first episode.

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Acknowledgment

This work is partly supported by the National Natural Science Foundation of China (Grant Nos. 61472058 and 61772102).

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Authors and Affiliations

  1. School of Information, Dalian Maritime University, Dalian, 116026, China

    Qianrui Qi, Shigang Feng, Dongqing Li, Zhi Wu & Hongbo Liu

  2. Physical Science and Technical College, Dalian University, Dalian, 116622, China

    Wei Wang

  3. Affiliated Xinhua Hospital, Dalian University, Dalian, 116622, China

    Zhaobin Deng & Wencai Weng

Authors
  1. Qianrui Qi
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  2. Wei Wang
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  3. Zhaobin Deng
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  4. Wencai Weng
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  5. Shigang Feng
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  6. Dongqing Li
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  7. Zhi Wu
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  8. Hongbo Liu
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Corresponding authors

Correspondence to Dongqing Li , Zhi Wu or Hongbo Liu .

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Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information Sciences, Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Faculty of Computers and Information, Department of Computer Science and Engineering, Mansoura University, Dakahlia, Egypt

    Mohamed Elhoseny

  4. Arab Academy for Science, Technology and Maritime Transport (AASTMT), Dokki, Egypt

    Mohamed Mostafa

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Qi, Q. et al. (2018). Gray Matter Volume Abnormalities in the Reward System in First-Episode Patients with Major Depressive Disorder. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_69

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  • DOI: https://doi.org/10.1007/978-3-319-74690-6_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

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