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International Conference on Brain Informatics and Health

BIH 2014: Brain Informatics and Health pp 357–365Cite as

Morphometric Basis of Depression in Parkinson’s Disease and the Possibility of Its Prediction

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8609))

Abstract

One of the most common variants of mood disorders is depression. According to various authors, the incidence of depression in the population is 3-10 %, in Parkinson’s disease (PD) – 40-50 % of patients. Most researchers are considering depression in PD as endogenous and finds it to be an important and independent component of the disease manifestations. We examined 49 patients with PD complicated by depression. All patients underwent MRI followed by postprocessing using FreeSurfer (http://surfer.nmr.mgh.harvard.edu). When depression occurs it affects lingual area, parahippocampal areas on both sides and straight gyrus. Regression analysis showed a predominant involvement of the frontal and temporal brain lobes. Prognostically three most important areas involved in the formation of depression were revealed - right and left parahippocampal area and the average occipital-temporal sulcus. The risk of depression manifestation, against the background of left parahippocampal cortex thinning at rates below 2,597 mm, increases 46.8 times.

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Authors and Affiliations

  1. Radiology Department, Military Medical Academy, Saint-Petersburg, Russian Federation

    Aleksandr Efimtsev, Vladimir Fokin, Andrei Sokolov, Leonid Voronkov & Artem Trufanov

Authors
  1. Aleksandr Efimtsev
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  2. Vladimir Fokin
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  3. Andrei Sokolov
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  4. Leonid Voronkov
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  5. Artem Trufanov
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Editor information

Editors and Affiliations

  1. University of Warsaw and Infobright Inc., Poland

    Dominik Ślȩzak

  2. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore

    Ah-Hwee Tan

  3. Computational Intelligence Laboratory, ECE Department, University of Manitoba, R3T 5V6, Winnipeg, MB, Canada

    James F. Peters

  4. Institute of Computer Science, University of Rostock, Rostock, Germany

    Lars Schwabe

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© 2014 Springer International Publishing Switzerland

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Efimtsev, A., Fokin, V., Sokolov, A., Voronkov, L., Trufanov, A. (2014). Morphometric Basis of Depression in Parkinson’s Disease and the Possibility of Its Prediction. In: Ślȩzak, D., Tan, AH., Peters, J.F., Schwabe, L. (eds) Brain Informatics and Health. BIH 2014. Lecture Notes in Computer Science(), vol 8609. Springer, Cham. https://doi.org/10.1007/978-3-319-09891-3_33

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  • DOI: https://doi.org/10.1007/978-3-319-09891-3_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09890-6

  • Online ISBN: 978-3-319-09891-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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