We aimed to detect plasticity following learning of a unilateral reaching movement, and relied on MRI performed with a rapid structural protocol suitable for in vivo brain imaging, and a longer diffusion tensor imaging (DTI) protocol executed ex vivo.

Dec 15, 2010 · An MRI-based mouse brain atlas may contain the following several components: MR images with one or multiple contrasts illustrating the mouse brain anatomy; detailed structural segmentations; and along with a user interface and image analysis tools.

Aug 5, 2021 · MRI can be used for repeated longitudinal imaging measurements, ideal for tracking the temporal trajectory of the recovery process post-concussion.

With its sensitivity to soft tissue, MRI is a powerful tool for the study of the neuroanatomical manifestations of a variety of conditions, such as microcephaly-related morbidities that are not easily visualized by other imaging techniques, such as CT.

The purpose of this review is to provide an introduction to the rapidly expanding field of mouse magnetic resonance imaging (MRI).

Jun 1, 2017 · Here we describe the applications of MRI for phenotyping structural birth defects involving the brain, heart, and kidney in mice. The versatility of MRI and its ease of use are well suited to meet the rapidly increasing demands for mouse phenotyping in the coming age of functional genomics.

In this investigation, we sought to determine whether simple MR-based detection of both types of motion—through the combined use of self-gating and image coregistration—would enable improved 3D mouse MRI and thus broaden the potential for MR studies of mouse development and disease models.

Aug 1, 2004 · It is by no means meant to be all-inclusive but rather to provide a brief introduction to the basics of MRI theory, provide some insight into the basic experiments that can be performed in mice by using MRI, and bring to light some factors to consider when planning a mouse MRI experiment.

Oct 1, 2009 · The purpose of this work was to elucidate the spatial resolution and structural contrast that can be obtained for studying the brain of C57BL/6J mice by optimized T2-weighted fast spin-echo MRI at 9.4 T.

Jan 28, 2022 · Deep convolutional neural networks can generate virtual histology from magnetic resonance imaging (MRI) data to map cellular structures in the mouse brain with high specificity, which enables neurobiologists to use MRI to characterize neuropathology effectively.