Imaging of functional connectivity in the mouse brain.
Imaging of functional connectivity in the mouse brain.
复制标题
小鼠大脑功能连通性的成像。
DOI：
10.1371/journal.pone.0016322
复制
发表时间：
2011-01-20
期刊：
影响因子：
3.7
通讯作者：
Culver JP
中科院分区：
文献类型：
--
作者：
White BR;Bauer AQ;Snyder AZ;Schlaggar BL;Lee JM;Culver JP
功能性神经成像（例如，在小鼠中进行，这使得在人类fMRI研究与分子和遗传机制之间进行转换具有挑战性。一种在小鼠中轻松进行大规模功能性神经成像的方法将能够发现遗传操作的功能相关性，并与小鼠疾病模型建立联系。为了满足这一需求，我们结合了静息态功能连接映射与光学内在信号成像（fcOIS）。我们通过高度详细的fcOIS映射小鼠大脑皮层大部分的静息态网络来展示功能连接。通过迭代分组和聚类的多个网络连接模式的合成提供了功能神经架构的全面地图，并证明了小鼠大脑皮层的主要功能区域的识别。该方法依赖于简单且相对便宜的基于相机的设备，不需要外源性造影剂，并且仅涉及头皮的反射（颅骨保持完整），从而使其微创。原则上，fcOIS允许在小鼠模型中将人类神经科学与分子/遗传操作的力量联系起来的新范例。
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.
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DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.7
作者：
Culver, JP;Siegel, AM;Boas, DA
通讯作者：
Boas, DA
影响因子：
3.8
作者：
Bouchard MB;Chen BR;Burgess SA;Hillman EM
通讯作者：
Hillman EM
影响因子：
5.7
作者：
Dunn, AK;Devor, A;Boas, DA
通讯作者：
Boas, DA
影响因子：
5.7
作者：
Hillman, Elizabeth M. C.;Devor, Anna;Boas, David A.
通讯作者：
Boas, David A.