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

You might also read

Related Articles

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

Sort by
Same author

Anti-OmpC antibodies in Crohn's disease and ulcerative colitis: evidence from a systematic review and meta-analysis.

Crohn's & colitis 360·2026
Same author

From Raw Materials to Distinct Flavors: Unraveling the Microbial Fermentation of Guizhou Sour Soup.

Journal of food science·2026
Same author

Corrigendum to "Nobiletin from Citrus reticulata Blanco alleviates pulmonary fibrosis through inhibiting the PI3K/AKT pathway and epithelial-mesenchymal transition" [J. Ethnopharmacol 349 (2025) 119965].

Journal of ethnopharmacology·2026
Same author

How loneliness and social isolation are linked to cognitive decline among older adults? A systematic review of underlying physiological and psychobehavioral mechanisms.

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

Lipopolysaccharide hydrolysis-targeting nano-chimeras detoxify endotoxin through specific adsorption and efficient degradation.

Nature communications·2026
Same author

Body mass index and waist-hip ratio - Risk factors for aortic valve disease: The atherosclerosis risk in communities (ARIC) study.

American journal of preventive cardiology·2026
Same journal

Infiltrating monocytes augment alternative complement activation and exacerbate inherited retinal degeneration in a mouse model.

Research square·2026
Same journal

Eco-evolutionary dynamics of defense systems in mobile genetic elements: Cui bono?

Research square·2026
Same journal

HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.

Research square·2026
Same journal

A UCP1-IRES-Cre Knock-In Mouse Enables Specific Brown Adipocyte Targeting Without CNS Off-Target Expression.

Research square·2026
Same journal

Precision RNAi for Fibrodysplasia Ossificans Progressiva: a combinatorial, unimolecular, allele selective approach.

Research square·2026
Same journal

Perceptions of end-of-life care quality among bereaved closest contacts of community-dwelling older Australians: a cross-sectional survey of the ASPREE cohort.

Research square·2026
See all related articles

Related Experiment Video

Updated: May 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

The Brain Vulnerability Index: Development and Validation of a Machine Learning-Derived, Community-Informed

Yusuf Tamer1, Autumn Noon1, Zhiyi Yang2

  • 1Parkland Center for Clinical Innovation.

Research Square
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

A new Brain Vulnerability Index (BVI) identifies communities at high risk for cognitive impairment. This brain-specific social determinants of health index aids in early detection and targeted prevention strategies for conditions like Alzheimer's disease.

More Related Videos

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

Related Experiment Videos

Last Updated: May 8, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

Area of Science:

  • Neuroscience
  • Public Health
  • Health Disparities

Background:

  • Social determinants of health (SDOH) significantly impact cognitive impairment, including Alzheimer's disease and related dementias.
  • Existing SDOH indices lack validation against cognitive outcomes and are overly reliant on financial indicators.
  • There is a need for a brain-specific SDOH index to identify at-risk communities for cognitive decline.

Purpose of the Study:

  • To develop and validate a novel brain-specific SDOH index, the Brain Vulnerability Index (BVI).
  • To identify communities at high risk for cognitive impairment and accelerated cognitive decline.
  • To aid in resource allocation for targeted cognitive health prevention strategies.

Main Methods:

  • Integrated patient-level electronic health records with neighborhood-level SDOH data using the Community Vulnerability Compass.
  • Developed the BVI model using Parkland Health data, defining cases by cognitive impairment diagnoses and controls by age-matching.
  • Externally validated the BVI in community-based (Dallas Heart Study) and clinic-based (Alzheimer's Disease Research Center) cohorts using MoCA scores and adjudicated diagnoses.

Main Results:

  • The BVI model achieved 54.6% balanced accuracy in detecting electronic health records suggestive of cognitive impairment.
  • Higher BVI scores correlated with lower Montreal Cognitive Assessment (MoCA) scores (β = -0.35; p = 0.009) and faster cognitive decline.
  • The BVI outperformed existing neighborhood indices in predicting cognitive impairment and decline.

Conclusions:

  • The Brain Vulnerability Index (BVI) is a novel, multidimensional, brain-specific SDOH index with external clinical validation.
  • BVI can assist in the early identification of communities experiencing accelerated cognitive decline.
  • This index can guide resource allocation for effective, targeted cognitive health prevention initiatives.