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Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping
Wang B, Niu Y, Miao L, Cao R, Yan P, Guo H, Li D, Guo Y et al.. Frontiers in aging neuroscience, 2017-11-20
Topic: Amyloid, tau and blood-test diagnosis
Alzheimer's disease (AD) is a frequently observed, irreversible brain function disorder among elderly individuals. Resting-state functional magnetic resonance imaging (rs-fMRI) has been introduced as an alternative approach to assessing brain functional abnormalities in AD patients. However, alterations in the brain rs-fMRI signal complexities in mild cognitive impairment (MCI) and AD patients remain unclear.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Wang, B., Niu, Y., Miao, L., Cao, R., Yan, P., Guo, H., et al. (2017). Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping. Frontiers in aging neuroscience. https://doi.org/10.3389/fnagi.2017.00378
Vancouver
Wang B, Niu Y, Miao L, Cao R, Yan P, Guo H, et al. Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping. Frontiers in aging neuroscience. 2017. doi:10.3389/fnagi.2017.00378. PMID: 29209199.
BibTeX
@article{wang2017-29209199,
author = {Wang, B. and Niu, Y. and Miao, L. and Cao, R. and Yan, P. and Guo, H. and Li, D. and Guo, Y. and others},
title = {{Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping}},
journal = {Frontiers in aging neuroscience},
year = {2017},
doi = {10.3389/fnagi.2017.00378},
pmid = {29209199},
url = {https://doi.org/10.3389/fnagi.2017.00378}
}
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's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- Resting-state functional magnetic resonance imaging (rs-fMRI) has been introduced as an alternative approach to assessing brain functional abnormalities in AD patients.
- However, alterations in the brain rs-fMRI signal complexities in mild cognitive impairment (MCI) and AD patients remain unclear.
- Here, we described the novel application of permutation entropy (PE) to investigate the abnormal complexity of rs-fMRI signals in MCI and AD patients.
- The rs-fMRI signals of 30 normal controls (NCs), 33 early MCI (EMCI), 32 late MCI (LMCI), and 29 AD patients were obtained from the Alzheimer's disease Neuroimaging Initiative (ADNI) database.
Why it matters
This study used resting-state fMRI and permutation entropy to examine brain signal complexity in people with mild cognitive impairment and Alzheimer's disease compared with normal controls. It is an imaging study of brain function, not a treatment, cure or prevention study.
Study details
- Evidence strengthLow
How this study scored 43/100
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 (Frontiers in aging neuroscience) |
| Journal's citation record | 2 / 4 | Frontiers in Aging Neuroscience: journal h-index 174 (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 | 2 / 5 | 2017 — within 10 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 | 5 / 7 | Cited 116 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 10.5 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 3 / 6 | Cited 5.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 2 other studies in this library |
| Still being cited | 2 / 4 | Cited 29 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Hui Zhang: h-index 18 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Beijing Institute of Technology: institution h-index 589 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 6 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 29209199) |
| Free to read | 2 / 2 | Free to read |
| Total | 43 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3389/fnagi.2017.00378
- PubMed: 29209199
- Original source →
- Free full text: Frontiers in Aging Neuroscience →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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