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Articles, Development/Plasticity/Repair

Short-Term Learning Induces White Matter Plasticity in the Fornix

Shir Hofstetter, Ido Tavor, Shimrit Tzur Moryosef and Yaniv Assaf
Journal of Neuroscience 31 July 2013, 33 (31) 12844-12850; https://doi.org/10.1523/JNEUROSCI.4520-12.2013
Shir Hofstetter
1Sagol School of Neuroscience and
2Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
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Ido Tavor
2Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
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Shimrit Tzur Moryosef
1Sagol School of Neuroscience and
2Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
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Yaniv Assaf
1Sagol School of Neuroscience and
2Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, 69978 Tel Aviv, Israel
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    Figure 1.

    A, Improvement in the car racing game. Normalized lap times (mean ± SEM) show significant reduction in time required to complete the track in the LG group (n = 33) but not in the AC group (n = 13). B, Improvement in the water-maze task shown by the reduction in the time required to reach the hidden platform (mean ± SEM) (n = 19). This figure is based on data presented by Sagi et al. (2012), excluding subjects that were not part of the analyses in the current study.

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    Figure 2.

    Changes in diffusion indices after short-term learning tasks. Statistical images were threshold at p < 0.05 for display purposes. A, Reduction in MD in the two learning subgroups as identified by TBSS. Statistical images are overlaid on the mean FA image of all subjects and the fornix skeleton mask (green). Red clusters show reduction in MD in LG group. Blue clusters display reduction in MD in the second subgroup, LG2. B, Reduction in λ1 (blues voxels) is presented, overlaid on the fornix skeleton mask (green) and the men FA image. C, Mean values of the percentage of change in MD revealed by the group × time interaction analysis between the learning group and the two control groups (p < 0.01 clusters ≥ 5). D, Reduction in MD in the two rat subgroups after 1 d training in the Morris water maze. Red clusters present regions in which reduction in MD in the L group was found, and blue clusters display the reduction in L2. Results are superimposed on the fornix skeleton (green) and the mean FA rat image. E, Reduction in L1 in the L group, overlaid on the fornix skeleton (green) and the mean FA map. F, Mean values of the percentage of change in MD in the analysis across groups (p < 0.01).

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    Figure 3.

    Correlation between changes in gray matter (hippocampus) and the difference in diffusion in the fornix. A, Statistical maps showing correlation of MD (red) and λ1 (blue) with the percentage of change in the hippocampus are thresholded at p < 0.005 and overlaid on the fornix mask (green) and the mean FA map. B, Correlation analysis of the difference in MD values with the percentage of change in the hippocampus (p < 0.05, corrected; r = 0.62). C, Colocalization of regions in which decrease in MD was found (red; p < 0.05 for display purposes) and correlation analysis of the difference in λ1 with changes in MD the hippocampus (blue; p < 0.005), overlaid on the fornix skeleton mask (green) and mean FA image. D, Correlation analysis of the difference in λ1 values with the percentage of change in MD in the hippocampus (p < 0.05, corrected; r = 0.87).

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    Figure 4.

    Correlation analysis between changes in MD in the hippocampus of rats undergoing 1 d of water-maze training with the change in diffusion indices in the fornix. A, Regions in which positive correlation between changes in MD in the fornix and the percentage of change in MD in the hippocampus (red; p < 0.005) are superimposed on the fornix skeleton mask (green) and mean FA image. B, Correlation analysis of the difference in MD in the fornix and the percentage of change in MD in the hippocampus (p < 0.05, corrected; r = 0.9). C, A positive correlation was also found between the difference in RD and the percentage of change in MD in the hippocampus (blue; p < 0.005), overlaid on the fornix skeleton mask (green) and mean FA image. D, Correlation analysis between the difference in RD and the percentage of change in MD in the hippocampus (p < 0.05, corrected; r = 0.87).

  • Figure 5.
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    Figure 5.

    Correlation analysis between changes in diffusion indices in the fornix and behavioral measurements. A, Regions in which changes in FA were found to correlate with improvement in the car racing game (red; p < 0.005), overlaid on the fornix mask (green) and mean FA image. B, Correlation analysis of change in FA in the fornix and improvement in lap time (p < 0.005; r = −0.74). C, Regions in which a correlation between averaged picture score and changes in MD were found (p < 0.005), colocalized with clusters showing MD decrease (p < 0.05), overlaid on the fornix mask (green) and mean FA image. D, Correlation analysis between changes in MD in the fornix and averaged picture score (p < 0.005; r = 0.52). E, Blue clusters present regions in which correlation between changes in RD in the fornix and improvement in the Morris water maze (p < 0.05 for display purposes) was found, overlaid on the fornix skeleton mask (green) and mean FA image. F, Correlation analysis between changes in RD and improvement in Morris water maze (p < 0.005; r = 0.78).

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The Journal of Neuroscience: 33 (31)
Journal of Neuroscience
Vol. 33, Issue 31
31 Jul 2013
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Short-Term Learning Induces White Matter Plasticity in the Fornix
Shir Hofstetter, Ido Tavor, Shimrit Tzur Moryosef, Yaniv Assaf
Journal of Neuroscience 31 July 2013, 33 (31) 12844-12850; DOI: 10.1523/JNEUROSCI.4520-12.2013

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Short-Term Learning Induces White Matter Plasticity in the Fornix
Shir Hofstetter, Ido Tavor, Shimrit Tzur Moryosef, Yaniv Assaf
Journal of Neuroscience 31 July 2013, 33 (31) 12844-12850; DOI: 10.1523/JNEUROSCI.4520-12.2013
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