Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

3.6K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.6K
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

1.7K
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
1.7K
Alzheimer Disease l: Introduction01:29

Alzheimer Disease l: Introduction

21
Alzheimer disease is a chronic, progressive, and irreversible neurodegenerative disorder and the most common cause of dementia in older adults. It leads to gradual neuronal loss, causing cognitive decline, behavioral changes, and loss of functional independence.Risk Factors and EtiologyThe disease is multifactorial. Age is the strongest risk factor, with prevalence doubling every 5 years after age 65. Genetic factors include mutations in genes such as APP, PSEN1, and PSEN2, which are associated...
21
Alzheimer Disease ll: Pathophysiology01:23

Alzheimer Disease ll: Pathophysiology

35
Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and...
35

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Role of Inhibitory Control in Moderating Working Memory Training Transfer: Evidence from a Preregistered Trial with Older Adults.

Research square·2026
Same author

Dual Expression of Magnetosome-Associated Genes <i>mms6</i> and <i>magA</i> to Enhance Magnetic Resonance Imaging Contrast in Mammalian Cells.

Molecular imaging·2026
Same author

When Postoperative Pulmonary Complications Mean Everything, They Predict Nothing.

Respiratory care·2026
Same author

Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging.

Magma (New York, N.Y.)·2026
Same author

Dynamic Fingerprinting of the Human Functional Connectome.

Brain connectivity·2026
Same author

Cognitive data harmonization in the ADRC Network and beyond-Past, present, and future.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Related Experiment Video

Updated: May 3, 2026

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.7K

Connectome-based predictive modelling predicts frailty levels in older adults.

Amin Ghaffari1, Majd Abouzaki2, Yasmine Romero3

  • 1Department of Bioengineering, University of California Riverside, CA.

Biorxiv : the Preprint Server for Biology
|September 5, 2025
PubMed
Summary

Task-based brain connectivity, particularly in the caudate nucleus, predicts grip strength in older adults. This finding highlights the potential of brain connectomes as personalized markers for frailty.

Keywords:
Connectomecaudate nucleusconnectome-based predictive modellingfrailtytask-based functional connectivity

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K
Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

660

Related Experiment Videos

Last Updated: May 3, 2026

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
05:53

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

Published on: July 24, 2013

16.7K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K
Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

660

Area of Science:

  • Neuroscience
  • Gerontology
  • Systems Neuroscience

Background:

  • Frailty, a decline in physiological reserves, increases health risks in older adults.
  • Neural underpinnings of frailty are underexplored, especially using task-based functional connectivity.
  • Limited research exists on brain functional connectivity related to frailty.

Purpose of the Study:

  • To investigate the relationship between task-based brain functional connectivity and frailty.
  • To identify neural predictors of individual differences in grip strength, a key frailty indicator.
  • To explore the utility of connectome-based predictive modeling (CPM) in understanding frailty.

Main Methods:

  • Utilized connectome-based predictive modeling (CPM) to analyze task-based functional connectomes.
  • Focused on functional connectivity derived from tasks involving handgrip manipulations.
  • Correlated brain connectomes with maximum grip strength as a measure of frailty in older adults.

Main Results:

  • Task-based connectomes successfully predicted individual differences in grip strength.
  • Functional connectivity within the Subcortical and Cerebellum network was the strongest predictor.
  • Specifically, connectivity involving the caudate nucleus showed significant predictive power.

Conclusions:

  • Task-based functional connectomes can serve as personalized biomarkers for behavioral measures like grip strength.
  • The caudate nucleus plays a crucial role in the neural mechanisms underlying frailty.
  • This study provides novel insights into the neural basis of frailty in older adults.