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Reliability and Utility of Manual and Automated Estimates of Total Intracranial Volume

  • Samuel J. Crowley (a1), Jared J. Tanner (a1), Daniel Ramon (a1), Nadine A. Schwab (a1), Loren P. Hizel (a1) and Catherine C. Price (a1)...

Abstract

Objectives: Total intracranial volume (TICV) is an important control variable in brain–behavior research, yet its calculation has challenges. Manual TICV (Manual) is labor intensive, and automatic methods vary in reliability. To identify an accurate automatic approach we assessed the reliability of two FreeSurfer TICV metrics (eTIV and Brainmask) relative to manual TICV. We then assessed how these metrics alter associations between left entorhinal cortex (ERC) volume and story retention. Methods: Forty individuals with Parkinson’s disease (PD) and 40 non-PD peers completed a brain MRI and memory testing. Manual metrics were compared to FreeSurfer’s Brainmask (a skull strip mask with total volume of gray, white, and most cerebrospinal fluid) and eTIV (calculated using the transformation matrix into Talairach space). Volumes were compared with two-way interclass correlations and dice similarity indices. Associations between ERC volume and Wechsler Memory Scale-Third Edition Logical Memory retention were examined with and without correction using each TICV method. Results: Brainmask volumes were larger and eTIV volumes smaller than Manual. Both automated metrics correlated highly with Manual. All TICV metrics explained additional variance in the ERC-Memory relationship, although none were significant. Brainmask explained slightly more variance than other methods. Conclusions: Our findings suggest Brainmask is more reliable than eTIV for TICV correction in brain-behavioral research. (JINS, 2018, 24, 206–211)

Copyright

Corresponding author

Correspondence and reprint requests to: Catherine Price, Clinical and Health Psychology, University of Florida, Gainesville, FL 32610. E-mail: cep23@phhp.ufl.edu

References

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Reliability and Utility of Manual and Automated Estimates of Total Intracranial Volume

  • Samuel J. Crowley (a1), Jared J. Tanner (a1), Daniel Ramon (a1), Nadine A. Schwab (a1), Loren P. Hizel (a1) and Catherine C. Price (a1)...

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