What does the research say about Nearest Neighbor Normativity?

Nearest Neighbor Normativity

There are 2 papers on Nearest Neighbor Normativity in aging research: 1 observational study in people. The newest story, Nov 13, 2026: “Brain scan model performs best in dementia detection tests”.

Biomarker

2 papers study it3 findings

1 new paper in 30 daysSee all 2 papers on Nearest Neighbor Normativity

Humans1
In silico1

Effects

Neurodegenerative disease classification

upin silico1

1 study

Nearest Neighbor Normativity improves neurodegenerative disease classification in silico (benchmarked against Brain Age models and Normative Modeling).
“the N 3 biomarker achieves the highest predictive performance in the classification of neurodegenerative diseases on a single subject level.”
In silicobenchmarked against Brain Age models and Normative Modelingbrain
Brain scan model performs best in dementia detection tests
Communications medicineNov 13, 2026

Detection of neurodegenerative diseases

upin silico1

1 study

Nearest Neighbor Normativity improves detection of neurodegenerative diseases in silico.
“significantly outperforming brain age models and traditional normative modeling approaches in the detection of neurodegenerative diseases.”
In silicon = 36,896
Judged by your neighbors: A novel framework for personalized assessment of brain structural aging effects in diverse populations
medRxiv : the preprint server for health sciencesJan 7, 2025Preprint

Associations

Biomarker estimate stability

no changein silico1

1 study

Nearest Neighbor Normativity is associated with biomarker estimate stability in silico across age and compositional changes in the reference sample.
“the N 3 estimates remain stable across age and robust to compositional changes in the reference sample.”
In silicoacross age and compositional changes in the reference samplebrain
Brain scan model performs best in dementia detection tests
Communications medicineNov 13, 2026

Latest

1 paper in 12 months

Communications MedicineNov 13

Brain scan model performs best in dementia detection tests

Trained on scans from 29,883 people and validated in 7,013 others, the model performed best among compared approaches to detecting dementia and mild cognitive impairment.Trained on scans from 29,883 people and validated in 7,013 others, the model performed best among compared approaches to detecting dementia and mild cognitive impairment.

Cross-sectional · 7,013 peopleFrontotemporal dementia