Citation

Kim J, Avants B, Whyte J, Gee JC. Front. Hum. Neurosci. 2013; 7(online): 52.

Affiliation

Moss Rehabilitation Research Institute Elkins Park, PA, USA.

Copyright

(Copyright © 2013, Frontiers Research Foundation)

DOI

10.3389/fnhum.2013.00052

PMID

23549059

Abstract

Traumatic brain injury (TBI) has recently been reconceptualized as a chronic, evolving disease process. This new view necessitates quantitative assessment of post-injury changes in brain structure that may allow more accurate monitoring and prediction of recovery. In particular, TBI is known to trigger neurodegenerative processes and therefore quantifying progression of diffuse atrophy over time is currently of utmost interest. However, there are various methodological issues inherent to longitudinal morphometry in TBI. In this paper, we first overview several of these methodological challenges: lesion evolution, neurosurgical procedures, power, bias, and non-linearity. We then introduce a sensitive, reliable, and unbiased longitudinal multivariate analysis protocol that combines dimensionality reduction and region of interest approaches. This analysis pipeline is demonstrated using a small dataset consisting of four chronic TBI survivors.


Keywords: Social Transition

Language: en