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Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment
Cassani R, Estarellas M, San-Martin R, Fraga FJ, Falk TH.. Disease markers, 2018-10-04
Topic: Amyloid, tau and blood-test diagnosis
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of the more than 46 million dementia cases estimated worldwide. Although there is no cure for AD, early diagnosis and an accurate characterization of the disease progression can improve the quality of life of AD patients and their caregivers. Currently, AD diagnosis is carried out using standardized mental status examinations, which are commonly assisted by expensive neuroimaging scans and invasive laboratory tests, thus rendering the diagnosis time consuming and costly. Notwithstanding, over the last decade, electroencephalography (EEG) has emerged as a noninvasive alternative technique for the study of AD, competing with more expensive neuroimaging tools, such as MRI and PET. This paper reports on the results of a systematic review on the utilization of resting-state EEG signals for AD diagnosis and progression assessment. Recent journal articles obtained from four major bibliographic databases were analyzed. A total of 112 journal articles published from January 2010 to February 2018 were meticulously reviewed, and relevant aspects of these papers were compared across articles to provide a general overview of the research on this noninvasive AD diagnosis technique. Finally, recommendations for future studies with resting-state EEG were presented to improve and facilitate the knowledge transfer among research groups.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Cassani, R., Estarellas, M., San-Martin, R., Fraga, F. J., & Falk, T. H. (2018). Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment. Disease markers. https://doi.org/10.1155/2018/5174815
Vancouver
Cassani R, Estarellas M, San-Martin R, Fraga FJ, Falk TH. Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment. Disease markers. 2018. doi:10.1155/2018/5174815. PMID: 30405860.
BibTeX
@article{cassani2018-30405860,
author = {Cassani, R. and Estarellas, M. and San-Martin, R. and Fraga, F. J. and Falk, T. H.},
title = {{Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment}},
journal = {Disease markers},
year = {2018},
doi = {10.1155/2018/5174815},
pmid = {30405860},
url = {https://doi.org/10.1155/2018/5174815}
}
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Key findings
- This paper reports on the results of a systematic review on the utilization of resting-state EEG signals for AD diagnosis and progression assessment.
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Study details
- Study designsystematic review
- Participants112
- Evidence strengthHigh
How this study scored 78/100
Published in a peer-reviewed journal, and it is a systematic review of all the studies on the question. Scored zero for effect reported 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 and multi-centre collaboration, so those were left out: it earned 45 of the 58 points we could judge it on, which is 78 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Disease markers) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 12 / 12 | A systematic review of all the studies on the question |
| Strength of evidence | 5 / 5 | Rated “high” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2018 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 112 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| 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 30405860) |
| Free to read | 2 / 2 | Free to read |
| Points | 45 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 45 of the 58 points we could judge it on is 78 out of 100. |
| Total | 78 / 100 | — |
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