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All scenes containing file Q1-Q6_R440.R.very_inflated.32k_fs_LR.surf.gii
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Study: Position coding in spatial working memory
Figure S2B. Dense whole-brain delay activity during individual task conditions.
Study: Position coding in spatial working memory
Figure S3. Average delay activity during individual task conditions based on analysis of parcellated data.
Study: Position coding in spatial working memory
Figure S5. Functional connectivity within the spatial working memory network during the delay period for each task condition in Experiment I.
Study: Position coding in spatial working memory
Figure 3. Differences in the delay activity between task conditions thought to promote either retrospective sensory or prospective motor coding, respectively.
Study: Position coding in spatial working memory
Figure 4. Differences in early and late phases of the delay activity between task conditions thought to promote either retrospective sensory or prospective motor coding, respectively.
Study: Position coding in spatial working memory
Figure 5A. ROIs used in functional connectivity analysis.
Study: Position coding in spatial working memory
Figure S4. Consistency of delay-related differences across different task conditions and experiments.
Study: Position coding in spatial working memory
Figure 2. Significant delay-related responses.
Study: Evaluating functional brain organization in individuals and identifying contributions to network overlap
Figure_3
Study: Evaluating functional brain organization in individuals and identifying contributions to network overlap
Figure_4
Study: Evaluating functional brain organization in individuals and identifying contributions to network overlap
Figure_7
Study: Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects
Figure 1, tSNR maps
Study: HCP-D T1w/T2w Development
Figure_6
Study: HCP-D T1w/T2w Development
Figure_3
Study: HCP-D T1w/T2w Development
Figure_1
Study: HCP-D T1w/T2w Development
Figure_2
Study: HCP-D T1w/T2w Development
Figure_7
Study: HCP-D T1w/T2w Development
Figure_4
Study: HCP-D T1w/T2w Development
Figure_5
Study: Cerebral Cortical Folding, Parcellation, and Connectivity
Figure 5C. Human resting-state networks and functional connectivity matrix
Study: Cortical-subcortical functional networks
Figure 2
Study: Cortical-subcortical functional networks
Figure 6
Study: Cortical-subcortical functional networks
Figure 5
Study: Cortical-subcortical functional networks
Figure 1
Study: Cortical-subcortical functional networks
Figure 3
Study: Cortical-subcortical functional networks
Figure 4
Study: Cortical-subcortical functional networks
Figure 7
Study: Cortical-subcortical functional networks
Figure 8
Study: Cortical-subcortical functional networks
Figure 9
Study: Connectome Workbench v1.5 Tutorial
Annotations
Study: Connectome Workbench v1.5 Tutorial
9. Parcellation Borders displayed with parcellation labels on R440 surfaces
Study: Connectome Workbench v1.5 Tutorial
2. Individual vs Group Avg surfaces and volumes
Study: Connectome Workbench v1.5 Tutorial
1. Individual surfaces and volumes
Study: Connectome Workbench v1.5 Tutorial
Dynamic Connectivity
Study: Connectome Workbench v1.5 Tutorial
Dynamic Lines Chart
Study: Connectome Workbench v1.5 Tutorial
Matrix Chart
Study: Connectome Workbench v1.5 Tutorial
10. Foci displayed on R440 surfaces
Study: Connectome Workbench v1.5 Tutorial
Histogram Chart
Study: Connectome Workbench v1.5 Tutorial
Media (Image) in Left tab
Study: Connectome Workbench v1.5 Tutorial
Lines Chart
Study: Connectome Workbench v1.5 Tutorial
Manual Tile Tabs Layout
Study: Connectome Workbench v1.5 Tutorial
3. Individual vs Group Avg Myelin Maps on R440 Surfaces
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