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Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers
Una Smailovic, Thomas Koenig, Ingemar Kåreholt, Thomas Andersson, Milica Gregoric Kramberger, Bengt Winblad, Vesna Jelic. Neurobiology of aging, 2017-11-16
Topic: Brain imaging, connectivity and assessment
Synaptic dysfunction is the best anatomical correlate of early cognitive impairment in Alzheimer's disease (AD). Electroencephalography (EEG) directly reflects brain electrical activity at the level of synapses. The aim of the present study was to investigate correlations of quantitative EEG measures, global field power (GFP) and global field synchronization (GFS), with conventional cerebrospinal fluid (CSF) biomarkers of neurodegeneration in patients diagnosed with subjective cognitive decline (n = 210), mild cognitive impairment (n = 230), and AD (n = 197). Decreased CSF amyloid β42 significantly correlated with increased theta and delta GFP, whereas increased p- and t-tau with decreased alpha and beta GFP. Decreased CSF amyloid β42 and increased p- and t-tau were significantly associated with decreased GFS alpha and beta. Subanalysis of the separate diagnostic groups demonstrated significant correlations between CSF biomarkers and generalized power and synchronization already in the subjective cognitive decline and mild cognitive impairment group. These results provide evidence that quantitative EEG measures are associated and possibly sensitive to distinct AD-like CSF biomarker profiles in cognitively impaired patients and are therefore promising early noninvasive markers of AD.
Key findings
- Decreased CSF amyloid β42 significantly correlated with increased theta and delta GFP, whereas increased p- and t-tau with decreased alpha and beta GFP.
- Decreased CSF amyloid β42 and increased p- and t-tau were significantly associated with decreased GFS alpha and beta.
- Subanalysis of the separate diagnostic groups demonstrated significant correlations between CSF biomarkers and generalized power and synchronization already in the subjective cognitive decline and mild cognitive impairment group.
- These results provide evidence that quantitative EEG measures are associated and possibly sensitive to distinct AD-like CSF biomarker profiles in cognitively impaired patients and are therefore promising early noninvasive markers of AD.
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Study details
- Participants210
- Evidence strengthLow
How this study scored 48/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported 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 27 of the 56 points we could judge it on, which is 48 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Neurobiology of aging) |
| 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 | 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 | 2018 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 210 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 | 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 29245058) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 27 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 27 of the 56 points we could judge it on is 48 out of 100. |
| Total | 48 / 100 | — |
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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.
APA 7th
Smailovic, U., Koenig, T., Kåreholt, I., Andersson, T., Kramberger, M. G., Winblad, B., et al. (2018). Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2017.11.005
Vancouver
Smailovic U, Koenig T, Kåreholt I, Andersson T, Kramberger MG, Winblad B, et al. Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers. Neurobiology of aging. 2018. doi:10.1016/j.neurobiolaging.2017.11.005. PMID: 29245058.
BibTeX
@article{smailovic2018-29245058,
author = {Smailovic, Una and Koenig, Thomas and Kåreholt, Ingemar and Andersson, Thomas and Kramberger, Milica Gregoric and Winblad, Bengt and Jelic, Vesna},
title = {{Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers}},
journal = {Neurobiology of aging},
year = {2018},
doi = {10.1016/j.neurobiolaging.2017.11.005},
pmid = {29245058},
url = {https://doi.org/10.1016/j.neurobiolaging.2017.11.005}
}
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