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A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia
Blake Matthew, Brown David C, Chen Chen, Al-Hammadi Noor, Casanova Ramon, Zhu Yiqi, Babulal Ganesh M. Scientific data, 2025-07-13
Topic: Risk, prevention and care in population studies
Alzheimer's disease and related dementia (ADRD) are becoming increasingly prevalent and are predicted to affect up to 153 million globally by 2050. Outside of biomarkers that measure pathology, there is a lack of methods to quantify and study complex behaviors such as driving and managing finances that precede cognitive decline among older adults. The DRIVES Project at Washington University School of Medicine has developed a pipeline to measure naturalistic driving behavior of older adult drivers enrolled in longitudinal studies of aging and ADRD. This driving behavior is captured in the form of tabular data for each trip a participant takes and is processed in two formats: low-frequency driving data, comprising approximately 2.8 million trips (37 GB), and high-frequency driving data, with approximately 1.4 million trips (2.6 TB). This pipeline also captures common participant sociodemographic characteristics, clinical features, and environmental context across various weather conditions, as well as the Area Deprivation Index and the Social Vulnerability Index, to comprehensively characterize the multidimensional nature of neurodegenerative processes among older adults.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Matthew, B., Brown David, C., Chen, C., Noor, A.-H., Ramon, C., Yiqi, Z., et al. (2025). A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia. Scientific data. https://doi.org/10.1038/s41597-025-05554-z
Vancouver
Matthew B, Brown David C, Chen C, Noor A.-H, Ramon C, Yiqi Z, et al. A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia. Scientific data. 2025. doi:10.1038/s41597-025-05554-z. PMID: 40651997.
BibTeX
@article{matthew2025-40651997,
author = {Matthew, Blake and Brown David, C. and Chen, Chen and Noor, Al-Hammadi and Ramon, Casanova and Yiqi, Zhu and Babulal Ganesh, M.},
title = {{A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia}},
journal = {Scientific data},
year = {2025},
doi = {10.1038/s41597-025-05554-z},
pmid = {40651997},
url = {https://doi.org/10.1038/s41597-025-05554-z}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Key findings
- Alzheimer's disease and related dementia (ADRD) are becoming increasingly prevalent and are predicted to affect up to 153 million globally by 2050.
- Outside of biomarkers that measure pathology, there is a lack of methods to quantify and study complex behaviors such as driving and managing finances that precede cognitive decline among older adults.
- The DRIVES Project at Washington University School of Medicine has developed a pipeline to measure naturalistic driving behavior of older adult drivers enrolled in longitudinal studies of aging and ADRD.
- This driving behavior is captured in the form of tabular data for each trip a participant takes and is processed in two formats: low-frequency driving data, comprising approximately 2.8 million trips (37 GB), and high-frequency driving data, with approximately 1.4 million trips (2.6 TB).
- This pipeline also captures common participant sociodemographic characteristics, clinical features, and environmental context across various weather conditions, as well as the Area Deprivation Index and the Social Vulnerability Index, to comprehensively characterize the multidimensional nature of neurodegenerative processes among older adults.
Why it matters
This project provides a large set of driving data from older adults along with clinical and social information, which could help researchers study behaviors that change before cognitive decline is detected. It does not test any treatment, prevention, or cure, and is a data resource rather than a study of outcomes.
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Study details
- Study designlongitudinal study
- Evidence strengthModerate
How this study scored 48/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on impact for its field and year, so that was left out: it earned 45 of the 94 points we could judge it on, which is 48 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Scientific data) |
| Journal's citation record | 2 / 4 | Scientific Data: journal h-index 215 (OpenAlex, 2026-10-29) |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 2 / 7 | Cited 9 times (OpenAlex, 2026-10-17) |
| Citations per year | 2 / 5 | 3.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 9 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Ganesh Muneshwar Babulal: h-index 31 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Washington University in St. Louis: institution h-index 1,947 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40651997) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 45 / 94 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 45 of the 94 points we could judge it on is 48 out of 100. |
| Total | 48 / 100 | — |
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