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A data-driven, multi-domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes
Evan Fletcher, Brandon Gavett, Sarah Tomaszewski Farias, Keith Widaman, Rachel Whitmer, Audrey P Fan, Maria Corrada, Charles DeCarli et al.. Alzheimer's & dementia (Amsterdam, Netherlands), 2024-11-23
Topic: Brain imaging, connectivity and assessment
In a separate validation set, the Union Signature demonstrates clinically relevant properties. Its associations with episodic memory, executive function, and Clinical Dementia Rating Sum of Boxes are stronger than those of several standardly accepted brain measures (e.g., hippocampal volume, cortical gray matter) and other previously developed brain signatures. The ability of the Union Signature to classify clinical syndromes among normal, mild cognitive impairment, and dementia exceeds that of the other measures. The Union Signature is a powerful, multipurpose correlate of clinically relevant outcomes and a strong classifier of clinical syndromes. HIGHLIGHTS: Data-driven brain signatures are potentially valuable in models of cognitive aging.In previous work, we outlined rigorous validation of signatures for memory.This work demonstrates a signature predicting multiple clinical measures.This could be useful in models of interventions for brain support of cognition.
Key findings
- In a separate validation set, the Union Signature demonstrates clinically relevant properties.
- Its associations with episodic memory, executive function, and Clinical Dementia Rating Sum of Boxes are stronger than those of several standardly accepted brain measures (e.g., hippocampal volume, cortical gray matter) and other previously developed brain signatures.
- The ability of the Union Signature to classify clinical syndromes among normal, mild cognitive impairment, and dementia exceeds that of the other measures.
- The Union Signature is a powerful, multipurpose correlate of clinically relevant outcomes and a strong classifier of clinical syndromes.
- HIGHLIGHTS: Data-driven brain signatures are potentially valuable in models of cognitive aging.In previous work, we outlined rigorous validation of signatures for memory.This work demonstrates a signature predicting multiple clinical measures.This could be useful in models of interventions for brain support of cognition.
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Study details
- Evidence strengthModerate
How this study scored 50/100
Published in a leading specialty journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 28 of the 56 points we could judge it on, which is 50 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia (Amsterdam, Netherlands)) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| 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 | 2024 — 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 | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| 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 | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 39583650) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 28 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 28 of the 56 points we could judge it on is 50 out of 100. |
| Total | 50 / 100 | — |
What each of these 20 components measures, and what this score is not →
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APA 7th
Fletcher, E., Gavett, B., Farias, S. T., Widaman, K., Whitmer, R., Fan, A. P., et al. (2024). A data-driven, multi-domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes. Alzheimer's & dementia (Amsterdam, Netherlands). https://doi.org/10.1002/dad2.70026
Vancouver
Fletcher E, Gavett B, Farias ST, Widaman K, Whitmer R, Fan AP, et al. A data-driven, multi-domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes. Alzheimer's & dementia (Amsterdam, Netherlands). 2024. doi:10.1002/dad2.70026. PMID: 39583650.
BibTeX
@article{fletcher2024-39583650,
author = {Fletcher, Evan and Gavett, Brandon and Farias, Sarah Tomaszewski and Widaman, Keith and Whitmer, Rachel and Fan, Audrey P and Corrada, Maria and DeCarli, Charles and others},
title = {{A data-driven, multi-domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes}},
journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
year = {2024},
doi = {10.1002/dad2.70026},
pmid = {39583650},
url = {https://doi.org/10.1002/dad2.70026}
}