Department of Physics, Washington University, St Louis, Missouri, United States of America.
PLoS One. 2011 Jan 20;6(1):e16322. doi: 10.1371/journal.pone.0016322.
Functional neuroimaging (e.g., with fMRI) has been difficult to perform in mice, making it challenging to translate between human fMRI studies and molecular and genetic mechanisms. A method to easily perform large-scale functional neuroimaging in mice would enable the discovery of functional correlates of genetic manipulations and bridge with mouse models of disease. To satisfy this need, we combined resting-state functional connectivity mapping with optical intrinsic signal imaging (fcOIS). We demonstrate functional connectivity in mice through highly detailed fcOIS mapping of resting-state networks across most of the cerebral cortex. Synthesis of multiple network connectivity patterns through iterative parcellation and clustering provides a comprehensive map of the functional neuroarchitecture and demonstrates identification of the major functional regions of the mouse cerebral cortex. The method relies on simple and relatively inexpensive camera-based equipment, does not require exogenous contrast agents and involves only reflection of the scalp (the skull remains intact) making it minimally invasive. In principle, fcOIS allows new paradigms linking human neuroscience with the power of molecular/genetic manipulations in mouse models.
功能神经影像学（例如 fMRI）在小鼠中难以进行，这使得在人类 fMRI 研究与分子和遗传机制之间进行转化变得具有挑战性。一种能够在小鼠中轻松进行大规模功能神经影像学的方法将能够发现遗传操作的功能相关性，并与疾病的小鼠模型相衔接。为了满足这一需求，我们将静息态功能连接性映射与光学内源信号成像（fcOIS）相结合。我们通过对静息状态网络进行高度详细的 fcOIS 映射，在大多数大脑皮层中展示了小鼠的功能连接性。通过迭代分割和聚类对多个网络连接模式进行综合，提供了功能神经结构的全面图谱，并证明了可以识别小鼠大脑皮层的主要功能区域。该方法依赖于简单且相对廉价的基于相机的设备，不需要外源性对比剂，并且仅涉及头皮的反射（颅骨保持完整），因此具有最小的侵入性。原则上，fcOIS 允许将人类神经科学与小鼠模型中分子/遗传操作的强大功能联系起来的新范例。
