Scene File: CorticothalamicConnectivityPatterns_Figures.scene
PATH:
Downloads / Howell_ThalamicConnectivityPatterns / CorticothalamicConnectivityPatterns_Figures.scene
SCENES:
- Fig. 1 - Workflow for quantifying the spread of cortical parcel's thalamic anatomical connectivity patterns using Euclidean distance (ED)
- Fig. 2 - Differences in thalamic connectivity patterns between sensory and association cortical parcels
- Figure 3 Mapping between the spatial extent of anatomical connections within the thalamus and anatomical coupling with the anteromedial-posterolateral thalamic gradient.
- Fig 4 Mapping between cortical variation in the extent of thalamic connectivity patterns, anatomical overlap across thalamic subpopulations, and intrinsic timescale.
- Fig 5 Cortical variation of the extent of anatomical connections within the macaque thalamus.
- S4 - Alternative methods for calculating spatial extent of streamline counts
- S7-8. Laterality comparison
- Fig. S9 Motion Controls
- Figure S10 - Freesurfer Controls
- S11 Mean Streamline Count Comparison
- Figure S12 - FA and MD
- Figure S13 -Cortical geometry controls
- Figure S14 S15
- Figure S16 - Isotropy
- Figure S19 - Conn1 Replication
- S20 - Dense ED
- S21 Thalamic Parcellation comparisons
- Figure S22 Hierarchical Gradient Specificty
- Figure S26 - Comparison of medioventral and midline thalamus gradients
- Figure S27 - Human Thalamic Spatial Gradient Overlap
- Fig S29 Comparisons between human and macaque cortical connectivity patterns
- Figure S30 - Macaque Thalamic Spatial Gradient Overlap
- S31 Correspondence between group-level EDpc1 loadings before and after regressing out each thalamic voxel’s total streamline count to all ipsilateral cortical regions (SCt).