|Network connectivity correlates of variability in fluid intelligence performance|
E Santarnecchi, A Emmendorfer, S Tadayon, S Rossi, A Rossi, ...
Intelligence 65, 35-47, 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
|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
|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
|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
|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
|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
|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
|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
|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