Search research articles
Contact Us
Filters
Showing results (1-10 of 9) with videos related to
Page
of 1
Sort By:
Geroscience
|
February 26, 2025
Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers
Mohammad Fili, Parvin Mohammadiarvejeh, Guiping Hu, et al.
Nutrients
|
January 8, 2025
Associations of Coffee and Tea Consumption on Neural Network Connectivity: Unveiling the Role of Genetic Factors in Alzheimer's Disease Risk
Tianqi Li, Mohammad Fili, Parvin Mohammadiarvejeh, et al.
Nutrients
|
August 12, 2023
Alzheimer's Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank
Tianqi Li, Auriel A Willette, Qian Wang, et al.
Brain Sciences
|
January 28, 2026
Obesity and Insulin Resistance Alter Neural Processing of Unpleasant, but Not Pleasant, Visual Stimuli in Young Adults
Brittany A Larsen, Brandon S Klinedinst, Tovah Wolf, et al.
Physiology & Behavior
|
August 11, 2023
Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females
Brittany A Larsen, Brandon S Klinedinst, Tovah Wolf, et al.
Geroscience
|
March 22, 2023
Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function
Brandon S Klinedinst, Mihir K Kharate, Parvin Mohammadiarvejeh, et al.
Geroscience
|
September 14, 2022
Bioenergetic and vascular predictors of potential super-ager and cognitive decline trajectories-a UK Biobank Random Forest classification study
Parvin Mohammadiarvejeh, Brandon S Klinedinst, Qian Wang, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
June 11, 2024
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks
Mohammad Fili, Parvin Mohammadiarvejeh, Brandon S Klinedinst, et al.
Geroscience
|
December 10, 2024
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
Parvin Mohammadiarvejeh, Mohammad Fili, Alice Dawson, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Geroscience
|
February 26, 2025
Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers
Mohammad Fili, Parvin Mohammadiarvejeh, Guiping Hu, et al.
Nutrients
|
January 8, 2025
Associations of Coffee and Tea Consumption on Neural Network Connectivity: Unveiling the Role of Genetic Factors in Alzheimer's Disease Risk
Tianqi Li, Mohammad Fili, Parvin Mohammadiarvejeh, et al.
Nutrients
|
August 12, 2023
Alzheimer's Disease Genetic Influences Impact the Associations between Diet and Resting-State Functional Connectivity: A Study from the UK Biobank
Tianqi Li, Auriel A Willette, Qian Wang, et al.
Brain Sciences
|
January 28, 2026
Obesity and Insulin Resistance Alter Neural Processing of Unpleasant, but Not Pleasant, Visual Stimuli in Young Adults
Brittany A Larsen, Brandon S Klinedinst, Tovah Wolf, et al.
Physiology & Behavior
|
August 11, 2023
Adiposity and insulin resistance moderate the links between neuroelectrophysiology and working and episodic memory functions in young adult males but not females
Brittany A Larsen, Brandon S Klinedinst, Tovah Wolf, et al.
Geroscience
|
March 22, 2023
Exploring the secrets of super-aging: a UK Biobank study on brain health and cognitive function
Brandon S Klinedinst, Mihir K Kharate, Parvin Mohammadiarvejeh, et al.
Geroscience
|
September 14, 2022
Bioenergetic and vascular predictors of potential super-ager and cognitive decline trajectories-a UK Biobank Random Forest classification study
Parvin Mohammadiarvejeh, Brandon S Klinedinst, Qian Wang, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)
|
June 11, 2024
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks
Mohammad Fili, Parvin Mohammadiarvejeh, Brandon S Klinedinst, et al.
Geroscience
|
December 10, 2024
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
Parvin Mohammadiarvejeh, Mohammad Fili, Alice Dawson, et al.
Page
of 1