Exploration of the Effect of Demographic and Clinical Confounding Variables on Results of Voxel-Based Morphometric Analysis in Schizophrenia

  • Anupa A. Vijayakumari
  • Priyadarshini Thirunavukkarasu
  • Ammu Lukose
  • Vikram Arunachalam
  • Jitender Saini
  • Sanjeev Jain
  • Bindu M. Kutty
  • John P. John
Conference paper

DOI: 10.1007/978-81-322-2126-5_16

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 324)
Cite this paper as:
Vijayakumari A.A. et al. (2015) Exploration of the Effect of Demographic and Clinical Confounding Variables on Results of Voxel-Based Morphometric Analysis in Schizophrenia. In: Suresh L., Dash S., Panigrahi B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 324. Springer, New Delhi

Abstract

Brain morphometric abnormalities have been extensively reported in schizophrenia. In this research report, we used a voxel-based morphometry (VBM) approach to identify the effect of various confounding factors on gray matter (GM) volume changes in patients with schizophrenia in comparison to healthy control subjects. Our findings highlight the importance of accounting for all possible confounding factors during study design and analyses, as well as setting appropriate statistical significance thresholds while reporting results in brain morphometric studies of schizophrenia.

Keywords

Voxel-based morphometry Computerized tomography Structural magnetic resonance imaging GLM ANCOVA analysis using VBM 

Copyright information

© Springer India 2015

Authors and Affiliations

  • Anupa A. Vijayakumari
    • 1
  • Priyadarshini Thirunavukkarasu
    • 1
  • Ammu Lukose
    • 1
  • Vikram Arunachalam
    • 1
  • Jitender Saini
    • 2
  • Sanjeev Jain
    • 3
  • Bindu M. Kutty
    • 4
  • John P. John
    • 5
  1. 1.Multimodal Brain Image Analysis Laboratory (MBIAL), Department of PsychiatryNational Institute of Mental Health and Neurosciences (NIMHANS)BangaloreIndia
  2. 2.Department of Neuroimaging and Interventional RadiologyNational Institute of Mental Health and Neurosciences (NIMHANS)BangaloreIndia
  3. 3.Department of PsychiatryNational Institute of Mental Health and Neurosciences (NIMHANS)BangaloreIndia
  4. 4.Department of NeurophysiologyNational Institute of Mental Health and Neurosciences (NIMHANS)BangaloreIndia
  5. 5.Multimodal Brain Image Analysis Laboratory (MBIAL), Department of Psychiatry and Department of Clinical NeuroscienceNational Institute of Mental Health and Neurosciences (NIMHANS)BangaloreIndia

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