Super-Agers

Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers

Mohammad Fili, P. Mohammadiarvejeh, G. Hu, A. A. Willette

A hybrid feature selection method to improve classification of Super-Ager and Cognitive Decliner using structural brain MRI data - A UK Biobank study

P. Mohammadiarvejeh, Mohammad Fili, B. Klinedinst, Q. Wang, S. Moody, N. Barnett, A. Pollpeter, B. A. Larsen, T. Li, S. A. Willette, J. P. Mochel, K. Allenspach, G. Hu, A. A. Willette

A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks

Mohammad Fili, P. Mohammadiarvejeh, B. Klinedinst, Q. Wang, S. Moody, N. Barnett, A. Pollpeter, B. A. Larsen, T. Li, S. A. Willette, J. P. Mochel, K. Allenspach, G. Hu, A. A. Willette

Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function

B. S. Klinedinst, M. K. Kharate, P. Mohammadiarvejeh, Mohammad Fili, A. Pollpeter, B. A. Larsen, S. Moody, Q. Wang, K. Allenspach, J. P. Mochel, A. A. Willette