Data

Supplemental online data is available for publications listed below.

Sripada, C, Angstadt, M, Rutherford, S, Taxali, A, Sheddon, K. Towards a “Treadmill Test” for Cognition: Brain Activation Patterns During Cognitively Demanding Tasks Robustly Predict General Intelligence. Under Review

• Task Consensus Maps

Chandra Sripada1*, Mike Angstadt1, Saige Rutherford1, Aman Taxali1, Kerby Sheddon
Sripada C, Rutherford S, Angstadt M, Thompson WK, Luciana M, Weigard A, Hyde LH, Heitzeg M. Prediction of neurocognition in youth from resting state fMRI. Mol Psychiatry. 2019 Aug 19. doi: 10.1038/s41380-019-0481-6. PubMed PMID: 31427753.

• Connectomic Neurosignatures

Fundamental Differences: A Basis Set for Characterizing Inter-Individual Variation in Resting State Connectomes (submitted) (preprint)

• 809 components from PCA on HCP training data

Growth Charting of Brain Connectivity Networks and the Identification of Attention Impairments in Youth.
(Submitted)

• Unthresholded ICA components
• 1068 ROI grid image
• 1068 ROI grid information

Modality-spanning deficits in attention-deficit/hyperactivity disorder in functional networks, gray matter, and white matter. The Journal of Neuroscience. Pubmed
These links are currently broken

• Yeo et al Network Subparcellation (used in several other recent publications)
• Unthresholded Gray and White Matter Components
• Supplemental Tables of Peak and Cluster Information for Gray and White Matter Components

Lag in maturation of the brain’s intrinsic functional architecture in attention-deficit/hyperactivity disorder. Proceedings of the National Academy of Sciences Pubmed

• 907 ROI grid image
• 907 ROI grid information

(These ROIs were generated with ConnTool, written by Robert C. Welsh)