X-ray Diffraction Reveals Periodicity in Murine Neocortex

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The study examined how sensory experience shapes brain development by comparing mouse primary somatosensory (barrel) cortex from control mice versus mice subjected to 30 days of whisker trimming from birth, a sensory deprivation model. Using immunocytochemistry and X-ray diffraction imaging on perfused brain tissue, the authors developed a machine-learning approach to characterize nanoscale structural patterns in the cortex. They found that diffraction-derived features clustered cleanly by group, with reported sensitivity/specificity of 1/0.93 and a receiver operating characteristic area of 0.99, which they interpret as reflecting developmentally different nanoscale structural components. A stated caveat is that the conclusions are based on a hypothesized link between nanoscale diffraction differences and broader structural changes observed in the tissue. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Background Sensory experience impacts brain development. In the mouse somatosensory cortex, sensory deprivation via whisker trimming induces reductions in the perineuronal net (PNN), the size of neuronal cell bodies, the size and orientation of dendritic arbors, the density of dendritic spines, and the level of myelination, among other effects. New Methods Here, we measured the X-ray diffraction patterns of mouse brain tissue to establish a novel method for examining nanoscale brain structures. Two groups of mice were examined: a control group and one that underwent 30 days of whisker-trimming from birth - an established method of sensory deprivation that affects the mouse barrel cortex (whisker sensory processing region of the primary somatosensory cortex). Mice were perfused, and primary somatosensory cortices (barrel cortex) were isolated for immunocytochemistry and X-ray diffraction imaging. Results X-ray images were characterized using a specially developed machine-learning approach, and the clusters that correspond to the two groups are well separated in the space of the principal components. The obtained values for sensitivity/specificity are 1/0.93, and the receiver operator curve classifier is 0.99. Conclusions We hypothesize that such separation is related to the development of different nanoscale structural components in the brains of control and sensory deprived mice. The effects of these nanoscale structural formations can be seen in PNN and other micro- and macro-scale structures and assemblies.
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Abstract

Background Sensory experience impacts brain development. In the mouse somatosensory cortex, sensory deprivation via whisker trimming induces reductions in the perineuronal net (PNN), the size of neuronal cell bodies, the size and orientation of dendritic arbors, the density of dendritic spines, and the level of myelination, among other effects. New Methods Here, we measured the X-ray diffraction patterns of mouse brain tissue to establish a novel method for examining nanoscale brain structures. Two groups of mice were examined: a control group and one that underwent 30 days of whisker-trimming from birth - an established method of sensory deprivation that affects the mouse barrel cortex (whisker sensory processing region of the primary somatosensory cortex). Mice were perfused, and primary somatosensory cortices (barrel cortex) were isolated for immunocytochemistry and X-ray diffraction imaging.

Results

X-ray images were characterized using a specially developed machine-learning approach, and the clusters that correspond to the two groups are well separated in the space of the principal components. The obtained values for sensitivity/specificity are 1/0.93, and the receiver operator curve classifier is 0.99.

Conclusions

We hypothesize that such separation is related to the development of different nanoscale structural components in the brains of control and sensory deprived mice. The effects of these nanoscale structural formations can be seen in PNN and other micro- and macro-scale structures and assemblies. Competing Interest Statement JCB and EW are employees of the City University of New York (CUNY) EW receives stipend support from the National Institutes of Health S. M. is a paid intern at Matur UK, Ltd. A.L. and P.L. are employed by Arion Diagnostics, Inc. P.L. is employed by Matur UK, Ltd. P.L is a shareholder of Matur UK, Ltd. P.L. is a shareholder of Arion Diagnostics, Inc. The authors declare no additional conflicts of interest. Footnotes Provided additional clarifications as well as some additional analyses.

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