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Neuroradiology

, Volume 51, Issue 9, pp 567–576 | Cite as

Region-specific maturation of cerebral cortex in human fetal brain: diffusion tensor imaging and histology

  • Richa Trivedi
  • Rakesh K. GuptaEmail author
  • Nuzhat Husain
  • Ram K. S. Rathore
  • Sona Saksena
  • Savita Srivastava
  • Gyanendra K. Malik
  • Vinita Das
  • Mandakini Pradhan
  • Manoj K. Sarma
  • Chandra M. Pandey
  • Ponnada A. Narayana
Head and Neck Radiology

Abstract

Introduction

In this study, diffusion tensor imaging (DTI) and glial fibrillary acidic protein (GFAP) immunohistochemical analysis in different cortical regions in fetal brains at different gestational age (GA) were performed.

Methods

DTI was performed on 50 freshly aborted fetal brains with GA ranging from 12 to 42 weeks to compare age-related fractional anisotropy (FA) changes in different cerebral cortical regions that include frontal, parietal, occipital, and temporal lobes at the level of thalami. GFAP immunostaining was performed and the percentage of GFAP-positive areas was quantified.

Results

The cortical FA values in the frontal lobe peaked at around 26 weeks of GA, occipital and temporal lobes at around 20 weeks, and parietal lobe at around 23 weeks. A significant, but modest, positive correlation (r = 0.31, p = 0.02) was observed between cortical FA values and percentage area of GFAP expression in cortical region around the time period during which the migrational events are at its peak, i.e., GA ≤ 28 weeks for frontal cortical region and GA ≤ 22 weeks for rest of the lobes.

Conclusions

The DTI-derived FA quantification with its GFAP immunohistologic correlation in cortical regions of the various lobes of the cerebral hemispheres supports region-specific migrational and maturational events in human fetal brain.

Keywords

Diffusion tensor imaging Fetal brain Fractional anisotropy Glial fibrillary acidic protein Regional cortical maturation 

Notes

Acknowledgements

This study was supported by grant no. BT/416 PR5009/Med/14/581/2004 from the Department of Biotechnology, New Delhi, India. Richa Trivedi and Sona Saksena acknowledge the financial assistance from the Council of Scientific and Industrial Research, and Indian Council of Medical Research, New Delhi, India, respectively.

Conflict of interest statement

We declare that we have no conflict of interest

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Richa Trivedi
    • 1
  • Rakesh K. Gupta
    • 1
    Email author
  • Nuzhat Husain
    • 2
  • Ram K. S. Rathore
    • 3
  • Sona Saksena
    • 1
  • Savita Srivastava
    • 2
  • Gyanendra K. Malik
    • 4
  • Vinita Das
    • 5
  • Mandakini Pradhan
    • 6
  • Manoj K. Sarma
    • 3
  • Chandra M. Pandey
    • 7
  • Ponnada A. Narayana
    • 8
  1. 1.Department of RadiodiagnosisSanjay Gandhi Post Graduate Institute of Medical SciencesLucknowIndia
  2. 2.Department of PathologyCSM Medical UniversityLucknowIndia
  3. 3.Department of Mathematics and StatisticsIndian Institute of TechnologyKanpurIndia
  4. 4.Department of PediatricsCSM Medical UniversityLucknowIndia
  5. 5.Department of Obstetrics and GynecologyCSM Medical UniversityLucknowIndia
  6. 6.Department of Medical GeneticsSanjay Gandhi Postgraduate Institute of Medical SciencesLucknowIndia
  7. 7.Department of BiostatisticsSanjay Gandhi Postgraduate Institute of Medical SciencesLucknowIndia
  8. 8.Department of Diagnostic and Interventional ImagingUniversity of Texas Medical School at HoustonHoustonUSA

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