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Brain Imaging and Behavior

, Volume 10, Issue 2, pp 533–547 | Cite as

Test-retest reliability of high angular resolution diffusion imaging acquisition within medial temporal lobe connections assessed via tract based spatial statistics, probabilistic tractography and a novel graph theory metric

  • T. KuhnEmail author
  • J. M. Gullett
  • P. Nguyen
  • A. E. Boutzoukas
  • A. Ford
  • L. M. Colon-Perez
  • W. Triplett
  • P. R. Carney
  • T. H. Mareci
  • C. C. Price
  • R. M. Bauer
Original Research

Abstract

This study examined the reliability of high angular resolution diffusion tensor imaging (HARDI) data collected on a single individual across several sessions using the same scanner. HARDI data was acquired for one healthy adult male at the same time of day on ten separate days across a one-month period. Environmental factors (e.g. temperature) were controlled across scanning sessions. Tract Based Spatial Statistics (TBSS) was used to assess session-to-session variability in measures of diffusion, fractional anisotropy (FA) and mean diffusivity (MD). To address reliability within specific structures of the medial temporal lobe (MTL; the focus of an ongoing investigation), probabilistic tractography segmented the Entorhinal cortex (ERc) based on connections with Hippocampus (HC), Perirhinal (PRc) and Parahippocampal (PHc) cortices. Streamline tractography generated edge weight (EW) metrics for the aforementioned ERc connections and, as comparison regions, connections between left and right rostral and caudal anterior cingulate cortex (ACC). Coefficients of variation (CoV) were derived for the surface area and volumes of these ERc connectivity-defined regions (CDR) and for EW across all ten scans, expecting that scan-to-scan reliability would yield low CoVs. TBSS revealed no significant variation in FA or MD across scanning sessions. Probabilistic tractography successfully reproduced histologically-verified adjacent medial temporal lobe circuits. Tractography-derived metrics displayed larger ranges of scanner-to-scanner variability. Connections involving HC displayed greater variability than metrics of connection between other investigated regions. By confirming the test retest reliability of HARDI data acquisition, support for the validity of significant results derived from diffusion data can be obtained.

Keywords

Diffusion weighted imaging MRI data acquisition reliability Streamline tractography Probabilistic tractography Tract based spatial statistics Structural neuroimaging 

Notes

Acknowledgments

This work was supported by the University of Florida Center for Movement Disorders and Neurorestoration R01 NINDS K23NS60660 (CP); NINDS R01 NS082386; NINR R01 NR014181, awarded to Catherine Price, Ph.D. This research was also conducted while Taylor Kuhn was a Graduate Fellow in the Clinical and Health Psychology Department at the University of Florida. The authors report no conflicts of interest.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • T. Kuhn
    • 1
    Email author
  • J. M. Gullett
    • 1
    • 9
  • P. Nguyen
    • 1
  • A. E. Boutzoukas
    • 1
  • A. Ford
    • 6
    • 9
  • L. M. Colon-Perez
    • 8
  • W. Triplett
    • 3
  • P. R. Carney
    • 4
    • 5
    • 6
    • 7
  • T. H. Mareci
    • 2
  • C. C. Price
    • 1
  • R. M. Bauer
    • 1
    • 9
  1. 1.Department of Clinical and Health PsychologyUniversity of FloridaGainesvilleUSA
  2. 2.Department of Biochemistry and Molecular BiologyUniversity of FloridaGainesvilleUSA
  3. 3.Department of Physical TherapyUniversity of FloridaGainesvilleUSA
  4. 4.Department of PediatricsUniversity of FloridaGainesvilleUSA
  5. 5.Department of NeurologyUniversity of FloridaGainesvilleUSA
  6. 6.Department of NeuroscienceUniversity of FloridaGainesvilleUSA
  7. 7.Department of J. Crayton Pruitt Family Department of Biomedical EngineeringUniversity of FloridaGainesvilleUSA
  8. 8.Department of PhysicsUniversity of FloridaGainesvilleUSA
  9. 9.Department of VA Brain Rehabilitation Research CenterMalcolm Randall VA CenterGainesvilleUSA

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