Network connectivity correlates of variability in fluid intelligence performance E Santarnecchi, A Emmendorfer, S Tadayon, S Rossi, A Rossi, ... Intelligence 65, 35-47, 2017 | 23 | 2017 |
Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition RA Ozdemir, E Tadayon, P Boucher, D Momi, KA Karakhanyan, MD Fox, ... Proceedings of the National Academy of Sciences 117 (14), 8115-8125, 2020 | 13 | 2020 |
Common genetic variant in VIT is associated with human brain asymmetry SH Tadayon, M Vaziri-Pashkam, P Kahali, M Ansari Dezfouli, ... Frontiers in human neuroscience 10, 236, 2016 | 12 | 2016 |
Differential contribution of cortical thickness, surface area, and gyrification to fluid and crystallized intelligence E Tadayon, A Pascual-Leone, E Santarnecchi Cerebral Cortex 30 (1), 215-225, 2020 | 9 | 2020 |
Machine learning for semiautomated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging NC Swinburne, J Schefflein, Y Sakai, EK Oermann, JJ Titano, I Chen, ... Annals of translational medicine 7 (11), 2019 | 8 | 2019 |
Choroid plexus volume is associated with levels of CSF proteins: relevance for Alzheimer's and Parkinson's disease E Tadayon, A Pascual-Leone, D Press, E Santarnecchi, ... Neurobiology of aging 89, 108-117, 2020 | 5 | 2020 |
Realistic modeling of mesoscopic ephaptic coupling in the human brain G Ruffini, R Salvador, E Tadayon, R Sanchez-Todo, A Pascual-Leone, ... PLoS computational biology 16 (6), e1007923, 2020 | 1 | 2020 |
Network-level Macroscale Structural Connectivity Predicts Propagation of Transcranial Magnetic Stimulation D Momi, RA Ozdemir, E Tadayon, P Boucher, MM Shafi, A Pascual-Leone, ... NeuroImage, 117698, 2020 | | 2020 |
Improving Choroid Plexus Segmentation in the Healthy and Diseased Brain: Relevance for Tau-PET Imaging in Dementia E Tadayon, B Moret, G Sprugnoli, L Monti, A Pascual-Leone, ... Journal of Alzheimer's Disease, 1-12, 2020 | | 2020 |
Semi-Automated Assessment for Distinguishing Glioblastoma and Solitary Brain Metastasis: A Machine Learning Approach N Swinburne, J Schefflein, Y Sakai, I Chen, E Tadayon, K Nael | | |