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Figure 1: Heritability (a<sup>2</sup> from univariate ACE model maximum likelihood parameter estimates) and P values for combined cortical regions. Left and right superior and inferior subregions of the prefrontal, frontal, parietal, and occipital regions were combined. Note higher heritability of gray matter in posterior regions compared to anterior regions.
Figure 1: Heritability (a2 from univariate ACE model maximum likelihood parameter estimates) and P values for combined cortical regions. Left and right superior and inferior subregions of the prefrontal, frontal, parietal, and occipital regions were combined. Note higher heritability of gray matter in posterior regions compared to anterior regions.
Figure 1: Graphical illustration of the model assumptions in FIRE. The anatomical regions of the left hemisphere are depicted in the middle of the figure. Region-specific neural waveforms (top two panels) and the vascular waveforms (bottom two panels) for two separate regions are shown in black. Location-specific current timecourses and fMRI timecourses for two locations in each of the two highlighted regions are shown in blue and green. The current timecourses and the fMRI timecourses are scaled versions of the corresponding region-specific waveforms.
Figure 1: Graphical illustration of the model assumptions in FIRE. The anatomical regions of the left hemisphere are depicted in the middle of the figure. Region-specific neural waveforms (top two panels) and the vascular waveforms (bottom two panels) for two separate regions are shown in black. Location-specific current timecourses and fMRI timecourses for two locations in each of the two highlighted regions are shown in blue and green. The current timecourses and the fMRI timecourses are scaled versions of the corresponding region-specific waveforms.
Figure 2a: Mean difference magnitude displacement maps—caudate. (a) AD compared to controls.
Figure 2a: Mean difference magnitude displacement maps—caudate. (a) AD compared to controls.
Figure 9: Real fMRI study. One sagittal slice in the estimated activation maps. (a) Pseudo ground truth created from four full-length sessions (17 epochs each). (b) High- resolution segmentation result overlaid onto the corresponding MR image. (c)–(h) The activation maps obtained from the first seven epochs. (c) Plain GLM detection results. (d) A gray matter mask is employed to suppress GLM-detected activations which do not lie in the gray matter. (e) Isotropic Gaussian smoothing with 7 mm FWHM is applied prior to the GLM detector. (f) A weighted Gaussian smoothing is applied prior to the GLM detector. (g) Generated by the GLM detector with MRF spatial prior. (h) Further incorporates the anatomical information into the MRF prior.
Figure 9: Real fMRI study. One sagittal slice in the estimated activation maps. (a) Pseudo ground truth created from four full-length sessions (17 epochs each). (b) High- resolution segmentation result overlaid onto the corresponding MR image. (c)–(h) The activation maps obtained from the first seven epochs. (c) Plain GLM detection results. (d) A gray matter mask is employed to suppress GLM-detected activations which do not lie in the gray matter. (e) Isotropic Gaussian smoothing with 7 mm FWHM is applied prior to the GLM detector. (f) A weighted Gaussian smoothing is applied prior to the GLM detector. (g) Generated by the GLM detector with MRF spatial prior. (h) Further incorporates the anatomical information into the MRF prior.
Figure 1: Labeling the CST: (a) deterministic tractography seeded in the whole brain, (b) tracts going through the precentral gyri ROIS, (c) tracts going through the brainstem ROI, (d) tracts going through both the precentral gyri and brainstem ROIs.
Figure 1: Labeling the CST: (a) deterministic tractography seeded in the whole brain, (b) tracts going through the precentral gyri ROIS, (c) tracts going through the brainstem ROI, (d) tracts going through both the precentral gyri and brainstem ROIs.
Figure 1: Volume-labeled and surface-labeled brain image data. Upper panel (LPBA40 sample): For the volume-labeled brain image data, we used updated versions of the 40 brains used to construct the LONI Probabilistic Brain Atlases (Shattuck et al. 2008, 56 labeled regions). Left to right: T1-weighted MRI coronal slice, extracted brain, manual labels, gray matter mask, cortical gray matter label volume (V), and the left hemisphere labels resampled onto the unit sphere (S, with different colors). Notice that some of the surface is missing labels (gray). Lower panel (FS40 sample): For the surface-labeled brain image data, we used the 40 brains used to construct FreeSurfer's default cortical parcellation atlas (Desikan et al. 2006, 35 labeled regions). Left to right: T1-weighted MRI coronal slice, extracted brain, FreeSurfer-generated surfaces of the left and right hemispheres seen from the front, the same surfaces with manual labels, the left hemisphere labels projected on the unit sphere, and the labels resampled in the brain volume (with different colors). (Note: images are not at the same scale, the colors in the upper and lower panels do not correspond, and neither do the colors in the rightmost images correspond with those to the left.)
Figure 1: Volume-labeled and surface-labeled brain image data. Upper panel (LPBA40 sample): For the volume-labeled brain image data, we used updated versions of the 40 brains used to construct the LONI Probabilistic Brain Atlases (Shattuck et al. 2008, 56 labeled regions). Left to right: T1-weighted MRI coronal slice, extracted brain, manual labels, gray matter mask, cortical gray matter label volume (V), and the left hemisphere labels resampled onto the unit sphere (S, with different colors). Notice that some of the surface is missing labels (gray). Lower panel (FS40 sample): For the surface-labeled brain image data, we used the 40 brains used to construct FreeSurfer's default cortical parcellation atlas (Desikan et al. 2006, 35 labeled regions). Left to right: T1-weighted MRI coronal slice, extracted brain, FreeSurfer-generated surfaces of the left and right hemispheres seen from the front, the same surfaces with manual labels, the left hemisphere labels projected on the unit sphere, and the labels resampled in the brain volume (with different colors). (Note: images are not at the same scale, the colors in the upper and lower panels do not correspond, and neither do the colors in the rightmost images correspond with those to the left.)
Figure 3: Editor interface of virtual fixture on 3D Slicer.
Figure 3: Editor interface of virtual fixture on 3D Slicer.
Figure 4: CB Segmentation Results (with Fixed Endpoints) for Brain data set 1: Left CB (yellow), Right CB (magenta)
Figure 4: CB Segmentation Results (with Fixed Endpoints) for Brain data set 1: Left CB (yellow), Right CB (magenta)
Figure 12: The globe mapped onto the bucket using ((a) and (c)) conformal mapping and ((b) and (d)) our optimal MP mapping.
Figure 12: The globe mapped onto the bucket using ((a) and (c)) conformal mapping and ((b) and (d)) our optimal MP mapping.
Figure 4: 4-way partitioned mesh and registration points
Figure 4: 4-way partitioned mesh and registration points
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