Research Article

Detection of altered hippocampal morphology in multiple sclerosis-associated depression using automated surface mesh modeling

  1. Stefan M. Gold1,†,
  2. Mary-Frances O'Connor2,†,
  3. Raja Gill3,
  4. Kyle C. Kern3,
  5. Yonggang Shi4,
  6. Roland G. Henry5,6,
  7. Daniel Pelletier5,6,7,
  8. David C. Mohr8,
  9. Nancy L. Sicotte3,9,10,*

Article first published online: 30 JUL 2012

DOI: 10.1002/hbm.22154

Additional Information

How to Cite

Gold, S. M., O'Connor, M.-F., Gill, R., Kern, K. C., Shi, Y., Henry, R. G., Pelletier, D., Mohr, D. C. and Sicotte, N. L. (2012), Detection of altered hippocampal morphology in multiple sclerosis-associated depression using automated surface mesh modeling. Hum. Brain Mapp.. doi: 10.1002/hbm.22154

Author Information

  1. 1

    Center for Molecular Neurobiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany

  2. 2

    Department of Psychology, University of Arizona, Tucson, Arizona

  3. 3

    Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California

  4. 4

    Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California

  5. 5

    Department of Radiology, University of California, San Francisco, California

  6. 6

    Department of Neurology, University of California, San Francisco, California

  7. 7

    Division of Neuro-Immunology, Department of Neurology, Yale School of Medicine, New Haven, Connecticut

  8. 8

    Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, Illinois

  9. 9

    Division of Brain Mapping, David Geffen School of Medicine at UCLA, Los Angeles, California

  10. 10

    Department of Neurology Cedars-Sinai Medical Center, Los Angeles, California

  1. †

    Stefan M. Gold and Mary-Frances O'Connor contributed equally to the manuscript

*MD, 8730 Alden Drive, Thalians, Rm 216E, Los Angeles, CA 90048

  1. †

    Stefan M. Gold and Mary-Frances O'Connor contributed equally to the manuscript

Publication History

  1. Article first published online: 30 JUL 2012
  2. Manuscript Accepted: 7 JUN 2012
  3. Manuscript Revised: 1 MAY 2012
  4. Manuscript Received: 30 JAN 2012

Funded by

  • National Institutes of Health. Grant Numbers: NIH R01 MH59708, R01-HD043323, K01EB013633
  • Cousins Center for Psychoneuroimmunology
  • National Institute on Aging. Grant Number: K01 AG028404
  • Marie Curie grant from the European Union. Grant Number: MC FP7-PEOPLE-2010-RG268381
  • Skirball Foundation
  • Department of Defense. Grant Number: W81XWH-10-1-0882

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Keywords:

  • depression;
  • autoimmunity;
  • hippocampus;
  • cornu ammonis;
  • magnetic resonance imaging

Abstract

Depression is very common in multiple sclerosis (MS) but the underlying biological mechanisms are poorly understood. The hippocampus plays a key role in mood regulation and is implicated in the pathogenesis of depression. This study utilizes volumetric and shape analyses of the hippocampus to characterize neuroanatomical correlates of depression in MS. A cross-section of 109 female patients with MS was evaluated. Bilateral hippocampi were segmented from MRI scans (volumetric T1-weighted, 1 mm3) using automated tools. Shape analysis was performed using surface mesh modeling. Depression was assessed using the Center for Epidemiologic Studies-Depression (CES-D) scale. Eighty-three subjects were classified as low depression (CES-D 0–20) versus 26 subjects with high depression (CES-D ≥ 21). Right hippocampal volumes (P = 0.04) were smaller in the high depression versus the low depression groups, but there was no significant difference in left hippocampal volumes. Surface rendering analysis revealed that hippocampal shape changes in depressed patients with MS were clustered in the right hippocampus. Significant associations were found between right hippocampal shape and affective symptoms but not vegetative symptoms of depression. Our results suggested that regionally clustered reductions in hippocampal thickness can be detected by automated surface mesh modeling and may be a biological substrate of MS depression in female patients. Hum Brain Mapp, 2012. © 2012 Wiley Periodicals, Inc.

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