Is QEEG an effective biomarker in predicting cognitive decline? Article Swipe
Valentina Medici
,
Paola Cassini
,
Michele Rossi
,
Laura Pettinato
,
G Negro
,
Xhulja Profka
,
E Rolandi
,
Antonio Guaita
,
Mauro Ceroni
,
Tino Emanuele Poloni
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.074765
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/alz.074765
Background Alterations in EEG traces are observed in synaptic failure with a reduction in the background α rhythm and an increase in slow frequencies (θ‐δ). The aim of the study is to evaluate whether quantitative EEG (QEEG) can be a reliable biomarker of neuro‐cognitive disorders (NCD), able to identify patients with mild and major‐NCD, and to reflect the clinical course over time. Method 63 donors from the Abbiategrasso Brain Bank were included in the study. According to our protocol, the subjects were evaluated longitudinally (2015‐21) through a multidimensional assessment, and divided into 3 groups age and sex matched (NOLD for normal old, mild‐NCD and major‐NCD). A selection of 12 donors was further divided into 3 groups based on the change of the clinical state over time (NOLD>NOLD; NOLD>mild‐NCD and mild‐NCD>major‐NCD). The QEEG analysis was performed considering the relative power distribution (RPD) of band frequency (β, α, θ, δ) and the peak frequency (PF), as synthetic index. The Kruskall Wallis test, with post hoc analysis, and change analysis through one‐way ANOVA were used for the comparison between groups. Kendall’s TAU was used for correlations. Result The RPD of the different frequency bands as well as the PF were significantly different in the NOLD, mild‐NCD and major‐NCD groups (p<0.001); α‐RPD and PF decreased, while θ and δ‐RPD increased. NOLDs and mild‐NCDs were always different from major‐NCDs (p<0.001), while NOLDs were statistically different from mild‐NCDs only for θ‐RPD (p = 0.019), b+a‐RPD (p = 0.028) and q+d‐RPD (p = 0.025). A strong correlation between PF and MMSE (p<0.001) was present. Change analysis demonstrated that PF was lower in the NOLD>mild‐NCD group compared to the NOLD>NOLD group (p = 0.049). Interestingly, PF did not present any correlation with depression using CES‐D score (Center Epidemiological Studies‐Depression). Conclusion The RPD is able to distinguish NOLDs from mild‐ and major‐NCDs. If determined from the initial stages of the disorder, PF may be a promising biomarker for mild‐NCD diagnosis discriminating initial cognitive impairment from depression, and it may be useful to follow the evolution of dementia. PF appears to be a synthetic and simple quantitative index, easily obtained from a standard digital EEG, and widely applicable.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/alz.074765
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.074765
- OA Status
- bronze
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390198975
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https://openalex.org/W4390198975Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/alz.074765Digital Object Identifier
- Title
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Is QEEG an effective biomarker in predicting cognitive decline?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-01Full publication date if available
- Authors
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Valentina Medici, Paola Cassini, Michele Rossi, Laura Pettinato, G Negro, Xhulja Profka, E Rolandi, Antonio Guaita, Mauro Ceroni, Tino Emanuele PoloniList of authors in order
- Landing page
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https://doi.org/10.1002/alz.074765Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.074765Direct link to full text PDF
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.074765Direct OA link when available
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Medicine, Biomarker, Post-hoc analysis, Internal medicine, Analysis of variance, Electroencephalography, Oncology, Psychiatry, Biochemistry, ChemistryTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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