A time-course study of actively stained mouse brains: Diffusion tensor imaging parameters and connectomic stability over 1 year.
A time-course study of actively stained mouse brains: Diffusion tensor imaging parameters and connectomic stability over 1 year.
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DOI:
10.1002/nbm.4611
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发表时间:
2022-01
影响因子:
2.9
通讯作者:
Johnson GA
中科院分区:
文献类型:
--
作者:
Xiao J;Hornburg KJ;Cofer G;Cook JJ;Pratson F;Qi Y;Johnson GA
While the application of diffusion tensor imaging (DTI), tractography, and connectomics to fixed tissue is a common practice today, there have been limited studies examining the effects of fixation on brain microstructure over extended periods. This mouse model time-course study reports the changes of regional brain volumes and diffusion scalar parameters, such as fractional anisotropy across twelve representative brain regions as measures of brain structural stability. The scalar DTI parameters and regional volumes were highly variable over the first two weeks after fixation. The same parameters were consistent over a two to eight-week window after fixation which means confounds from tissue stability over that scanning window are minimal. Quantitative connectomes were analyzed over the same time with extension out to one year. While there is some change in the scalar metrics at one year after fixation, these changes are sufficiently small, particularly in white matter to support reproducible connectomes over a period ranging from two weeks to one year post fixation. These findings delineate a scanning period during which brain volumes, diffusion scalar metrics and connectomes are remarkably consistent. This test/retest diffusion weighted (DW) MRI connectomics study determines the time period post-fixation that an actively perfused mouse brain (C57BL/6J) can be remeasured and still maintain consistency in result. We determined from a mix of analysis of connectomics and DW metrics that within the three distinct time periods, early (prior to 2 weeks), middle (2 weeks to 8 weeks), and late (post 8 weeks), the early time period is the most unstable of the three time periods.
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影响因子:
3.3
作者:
Fishbein, Kenneth W.;Gluzband, Yehezkiel A.;Spencer, Richard G.
通讯作者:
Spencer, Richard G.
影响因子:
3.5
作者:
Lerch JP;Gazdzinski L;Germann J;Sled JG;Henkelman RM;Nieman BJ
通讯作者:
Nieman BJ
DOI:
10.1111/j.2517-6161.1995.tb02031.x
发表时间:
1995-01-01
影响因子:
5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者:
HOCHBERG, Y
影响因子:
5.7
作者:
de Guzman, A. Elizabeth;Wong, Michael D.;Nieman, Brian J.
通讯作者:
Nieman, Brian J.
影响因子:
5.7
作者:
Miller, Karla L.;Stagg, Charlotte J.;Douaud, Gwenaelle;Jbabdi, Saad;Smith, Stephen M.;Behrens, Timothy E. J.;Jenkinson, Mark;Chance, Steven A.;Esiri, Margaret M.;Voets, Natalie L.;Jenkinson, Ned;Aziz, Tipu Z.;Turner, Martin R.;Johansen-Berg, Heidi;McNab, Jennifer A.
通讯作者:
McNab, Jennifer A.