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Neuroimaging Advance in Depressive Disorder

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Book cover Depressive Disorders: Mechanisms, Measurement and Management

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1180))

Abstract

Neuroimaging shed light on the understanding of psychopathological mechanisms underlying major depressive disorder, despite its inconsistent findings. Noninvasive neuroimaging studies have indicated that various behavioral deficits in major depressive disorder are implicated with structural and functional abnormalities in specific brain regions. Moreover, disrupted brain morphological and functional properties may map out the underlying pathways from genetic and environmental factors to the prognosis of depression. Molecular neuroimaging studies have also provided novel method to probe transmitters and metabolites in brain regions rather than simply measuring brain morphological changes. Recent advanced neuroimaging approaches (e.g., pattern recognition) provides great opportunity to probe neuroimaging biomarkers that may contributes to improving diagnostic accuracy and predicting treatment outcomes. In this chapter, we conclude neuroimaging studies in the research field of depression from psychopathological, molecular, genetic/environmental, diagnostic, and therapeutic perspectives.

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Authors and Affiliations

  1. Division of Mood Disorder, Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

    Daihui Peng

  2. Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China

    Zhijian Yao

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  1. Daihui Peng
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  2. Zhijian Yao
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Correspondence to Daihui Peng or Zhijian Yao .

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  1. Division of Mood Disorders, Shanghai Mental Health Center, Shanghai, China

    Yiru Fang

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Peng, D., Yao, Z. (2019). Neuroimaging Advance in Depressive Disorder. In: Fang, Y. (eds) Depressive Disorders: Mechanisms, Measurement and Management. Advances in Experimental Medicine and Biology, vol 1180. Springer, Singapore. https://doi.org/10.1007/978-981-32-9271-0_3

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