In order to generate three dimensional (3D) pore space, many methods were proposed and multiple-point statistics method (MPS) is becoming very popular because it can well reproduce the nonlinear features and large range connectivity of training images.
The neuroimaging techniques we selected for this course included: Magnetic Resonance Imaging (MRI), functional MRI (fMRI), Positron Emission Tomography, Single Photon Emission Computed Tomography, Transcranial Magnetic Stimulation, Electroencephalography, Diffusion Tensor Imaging, Diffusion Weighted Imaging, Perfusion Imaging, and Connectivity Techniques.
Recently, investigators have proposed a method to image neural connectivity noninvasively using a magnetic resonance imaging method called diffusion tensor imaging (DTI).
Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox functionalities were used to study AD by T1weighted, Diffusion Tensor Imaging and 18FAV45 PET, with data obtained from the AD Neuroimaging Initiative database, specifically 12healthy controls (CTRL) and 33 patients with early mild cognitive impairment (EMCI), late MCI (LMCI) and AD (11 patients/group).
The Multimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox is a fully automated all-in-one connectivity analysis toolbox that offers both pre-processing, connectivity, and graph theory analysis of multimodal images such as anatomical, diffusion, and functional MRI, and PET [1].
In certain areas of the motion corrected images, the connectivity of the smaller vessels may be difficult to observe.
Several studies investigate other measures of bone microarchitecture and topology from HR-pQCT images, including connectivity, SMI, and anisotropy; however, there is mixed evidence of their reliability at in vivo resolutions [ 23, 93, 97, 136].
And as mentioned above (see response to #3a), recent anterograde tracing experiments conducted by the Allen Institute in the adult mouse from the fastigial nucleus show a major contralateral projection pathway with a few axons innervating the contralateral MoV (see attached images from connectivity.brain-map.org).
