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A multi-stage feature selection method to improve classification of potential super-agers and cognitive decliners using structural brain MRI data-a UK biobank study.
Mohammadiarvejeh P, Fili M, Dawson A, Klinedinst BS, Wang Q, Moody S, Barnett N, Pollpeter A, Larsen B, Li T, Willette SA, Mochel JP, Allenspach K, Hu G, Willette AA. Mohammadiarvejeh P, et al. Geroscience. 2024 Dec 10. doi: 10.1007/s11357-024-01458-9. Online ahead of print. Geroscience. 2024. PMID: 39656405
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks.
Fili M, Mohammadiarvejeh P, Klinedinst BS, Wang Q, Moody S, Barnett N, Pollpeter A, Larsen B, Li T, Willette SA, Mochel JP, Allenspach K, Hu G, Willette AA. Fili M, et al. Among authors: mohammadiarvejeh p. Alzheimers Dement (Amst). 2024 Jun 10;16(2):e12595. doi: 10.1002/dad2.12595. eCollection 2024 Apr-Jun. Alzheimers Dement (Amst). 2024. PMID: 38860031 Free PMC article.
Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females.
Larsen BA, Klinedinst BS, Wolf T, McLimans KE, Wang Q, Pollpeter A, Li T, Mohammadiarvejeh P, Fili M, Grundy JG, Willette AA. Larsen BA, et al. Among authors: mohammadiarvejeh p. Physiol Behav. 2023 Nov 1;271:114321. doi: 10.1016/j.physbeh.2023.114321. Epub 2023 Aug 9. Physiol Behav. 2023. PMID: 37567373 Free PMC article.