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An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
Rahul S. Desikan, Florent Ségonne, Bruce R. Fischl, Brian T. Quinn, Bradford Clark Dickerson, Deborah Blacker, Randy Lee Buckner, Anders Martin Dale et al.. NeuroImage, 2006-03-14
Topic: Brain proteins, microglia and lab models
In this study, researchers assessed the validity and reliability of an automated labeling system developed to subdivide the human cerebral cortex on magnetic resonance images into gyral based regions of interest. Using a dataset of MRI scans with manually identified cortical regions, an atlas was created to automatically label these areas. Evaluations demonstrated that the automated regions of interest were highly accurate, suggesting that the method is anatomically valid and reliable for neuroanatomical regions.
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APA 7th
Desikan, R. S., Ségonne, F., Fischl, B. R., Quinn, B. T., Dickerson, B. C., Blacker, D., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage. https://doi.org/10.1016/j.neuroimage.2006.01.021
Vancouver
Desikan RS, Ségonne F, Fischl BR, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage. 2006. doi:10.1016/j.neuroimage.2006.01.021. PMID: 16530430.
BibTeX
@article{desikan2006-16530430,
author = {Desikan, Rahul S. and Ségonne, Florent and Fischl, Bruce R. and Quinn, Brian T. and Dickerson, Bradford Clark and Blacker, Deborah and Buckner, Randy Lee and Dale, Anders Martin and others},
title = {{An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest}},
journal = {NeuroImage},
year = {2006},
doi = {10.1016/j.neuroimage.2006.01.021},
pmid = {16530430},
url = {https://doi.org/10.1016/j.neuroimage.2006.01.021}
}
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Key findings
- When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm.
- Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs.
- These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable.
Why it matters
An automated system for dividing the human cerebral cortex on MRI scans into labelled, gyrus-based regions. It is a measurement tool for brain imaging research and does not treat or prevent Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 61/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (NeuroImage) |
| Journal's citation record | 4 / 4 | NeuroImage: journal h-index 523 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2006 — older than 20 years, still counted |
| 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 | 7 / 7 | Cited 13,459 times (OpenAlex, 2026-10-10) |
| Citations per year | 5 / 5 | 611.8 citations a year over 22 year(s) since 2006 |
| Impact for its field and year | 6 / 6 | Cited 61.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 5 / 6 | Cited by 146 other studies in this library |
| Still being cited | 4 / 4 | Cited 3,780 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Ronald Killiany: h-index 82 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | Harvard University: institution h-index 3,235 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 11 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 16530430) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 61 / 100 | — |
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