000			01852 am a22002293u 4500
042			_adc
100	1	0	_aHarris, N.G. _eauthor _9418
700	1	0	_aPaydar, A. _eauthor _9419
700	1	0	_aSmith, G.S. _eauthor _9420
700	1	0	_aLepore, S. _eauthor _9421
245	0	0	_aDiffusion MR imaging acquisition and analytics for microstructural delineation in pre-clinical models of TBI
260			_c2022-05.
500			_a/pmc/articles/PMC6824967/
500			_a/pubmed/31044457
520			_aSignificant progress has been made toward improving both the acquisition of clinical diffusion weighted imaging (DWI) data and its analysis in the uninjured brain, through various techniques including a large number of model-based solutions that have been proposed to fit for multiple tissue compartments, and multiple fibers per voxel. While some of these techniques have been applied to clinical traumatic brain injury (TBI) research, the majority of these technological enhancements have yet to be fully implemented in the pre-clinical arena of TBI animal model-based research. In this review we describe the requirement for pre-clinical, MRI-based efforts to provide systematic confirmation of the applicability of some of these models as indicators of tissue pathology within the injured brain. We review how current DWI techniques are currently being used in animal TBI models, and describe how both acquisition and analytic techniques could be extended to leverage the progress made in clinical work. Finally, we highlight remaining gaps in the pre-clinical pipeline from data acquisition to final analysis that currently have no real, pre-clinical-based correlate.
540			_a
546			_aen
690			_aArticle
655	7		_aText _2local
786	0		_nJ Neurosci Res
856	4	1	_uhttp://dx.doi.org/10.1002/jnr.24416 _zConnect to this object online.
999			_c1287 _d1287