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Parvin Mohammadiarvejeh

Parvin Mohammadiarvejeh

PhD

Iowa State University

2021 - 2024

Research Areas

Subcortical Volume Cognitive Aging Neuroimaging Longitudinal Study Neural Connectivity Cognitive Function UK Biobank Aging White Matter Tracts Super-Agers Machine Learning Diffusion MRI Obesity Insulin Resistance Neural Processing EEG Affective Processing Coffee Tea Alzheimer's Disease APOE Feature Selection Structural MRI Random Forest Cognitive Decline Functional Connectivity fMRI Cognitive Classification MRI Blood Biomarkers Adiposity Working Memory Episodic Memory Diet APOE4 Red Wine Neural Efficiency Brain Health

Publications with Dr. Fili

2025
Association between subcortical volume changes and longitudinal cognitive measures in older adults

M. Fili, J. Swope, S. Rezaeimanesh, P. Mohammadiarvejeh, G. Hu, A. A. Willette

IISE Annual Conference

2025
Exploring the association between changes in neural connectivity and cognitive function in older adults: A UK Biobank study

S. Rezaeimanesh, M. Fili, P. Mohammadiarvejeh, G. Hu, A. A. Willette

IISE Annual Conference

2025
Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers

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

GeroScience

DOI PDF
2025
Obesity and Insulin Resistance Alter Neural Processing of Unpleasant, but Not Pleasant, Visual Stimuli in Young Adults

B. A. Larsen, B. Klinedinst, T. Wolf, K. E. McLimans, Q. Wang, A. Pollpeter, T. Li, P. Mohammadiarvejeh, M. Fili, A. A. Willette

Brain Sciences

2024
Associations of coffee and tea consumption on neural network connectivity: Unveiling the role of genetic factors in Alzheimer's disease risk

T. Li, M. Fili, P. Mohammadiarvejeh, A. Dawson, G. Hu, A. A. Willette

Nutrients

DOI PDF
2024
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, M. 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

GeroScience

DOI PDF
2024
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks

M. 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

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring

DOI PDF
2024
Cognitive classification using MRI and blood biomarkers

S. Rezaeimanesh, M. Fili, P. Mohammadiarvejeh, G. Hu, A. A. Willette

IISE Annual Conference

2023
Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females

B. A. Larsen, B. S. Klinedinst, T. Wolf, K. E. McLimans, Q. Wang, A. Pollpeter, T. Li, P. Mohammadiarvejeh, M. Fili, J. G. Grundy, A. A. Willette

Physiology & Behavior

DOI
2023
Alzheimer's Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank

T. Li, A. A. Willette, Q. Wang, A. Pollpeter, B. A. Larsen, P. Mohammadiarvejeh, M. Fili

Nutrients

DOI PDF
2023
Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function

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

GeroScience

DOI PDF