Associations between electroencephalography power and Alzheimer's disease in persons with Down syndrome

Musaeus, Christian Sandøe; Salem, Lise Cronberg; Sabers, Anne; Kjær, Troels W.; Waldemar, Gunhild

doi:10.1111/jir.12627

Cited by 7 publications

(9 citation statements)

References 28 publications

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“…Analysis of the cognitive activity of people with Down Syndrome (DS) is extraordinarily relevant, and it has become a foundation for better understanding the development of neurodegenerative diseases, mainly Alzheimer's disease (AD) (Prasher et al, 1996;Lamar et al, 2011;Neale et al, 2018;Pujol et al, 2018;Musaeus et al, 2019); studying the development and morphological characteristics of the brains of individuals with DS (Baburamani et al, 2019;Lao et al, 2019;Rodrigues et al, 2019;Shiohama et al, 2019); and evaluating cognitive functioning (Virji-Babul et al, 2013). All these cited researchers used non-invasive brain registration techniques and extended studies that had the same objectives but used traditional paradigms (Contestabile et al, 2010;Wiseman et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Using fMRI to Assess Brain Activity in People With Down Syndrome: A Systematic Review

Carbó‐Carreté

Cañete‐Massé

Peró‐Cebollero

et al. 2020

Front. Hum. Neurosci.

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Background: In the last few years, many investigations have focused on brain activity in general and in populations with different pathologies using non-invasive techniques such as electroencefalography (EEG), positron emission tomography (PET), functional magnetic resonance imaging (fMRI) and magnetic resonance imaging (MRI). However, the use of non-invasive techniques to detect brain signals to evaluate the cognitive activity of people with Down syndrome (DS) has not been sufficiently addressed. The objective of this study is to describe the state-of-the-art in fMRI techniques for recording brain signals in people with DS. Method: A systematic review was performed based on PRISMA recommendations; only nine papers on this topic have been published. Three independent researchers selected all relevant information from each paper. Analyses of information concordance showed a high value of agreement between researchers. Results: Although few relevant works have been published, the use of fMRI in people with DS is becoming an appropriate option to study brain function in this population. Of the nine identified papers, five used task designs, and four used resting-state paradigms. Conclusion: Thus, we emphasize the need to incorporate rigorous cognitive activity procedures in evaluations of the DS population. We suggest several factors (such as head correction movements and paired sample techniques) that must be considered when designing an fMRI study with a task or a resting-state paradigm in a DS population.

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Section: Introductionmentioning

confidence: 99%

Using fMRI to Assess Brain Activity in People With Down Syndrome: A Systematic Review

Carbó‐Carreté

Cañete‐Massé

Peró‐Cebollero

et al. 2020

Front. Hum. Neurosci.

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“…Results from analysis of spectral power have been presented elsewhere (Salem et al, 2015; Musaeus et al, 2019b). All preprocessing was performed in MATLAB (Mathworks, v2016a) using the EEGLAB toolbox (Delorme and Makeig, 2004).…”

Section: Methodsmentioning

confidence: 99%

Microstate Changes Associated With Alzheimer’s Disease in Persons With Down Syndrome

et al. 2019

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Down syndrome (DS) is associated with development of dementia due to Alzheimer’s disease (AD). However, due to considerable heterogeneity in intellectual function among persons with DS, it is difficult to assess whether a person with DS has developed dementia due to AD (DS-AD). EEG spectral power has previously shown very promising results with increased slowing in DS-AD compared to DS. However, another technique called microstates may be used to assess whole-brain dynamics and has to our knowledge not previously been investigated in either DS or DS-AD. The aim of the current study was to assess whether microstates could be used to differentiate between adults with DS, and DS-AD. We included EEGs from 10 persons with DS and 15 persons with DS-AD in the analysis. For the microstate analyses, we calculated four global maps, which were then back-fitted to all the EEGs. Lastly, we extracted the duration, occurrence, and coverage for each of the microstates. Here, we found the four archetypical maps as has previously been reported in the literature. We did not find any significant difference between DS and DS-AD but the largest difference in microstate duration between DS and DS-AD was found in microstate A and D. These findings are in line with structural MR studies showing that both the frontal and temporal lobes are affected in persons with DS-AD. Microstates may potentially serve as a diagnostic marker, but larger studies are needed to confirm these findings.

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“…1996; Musaeus et al . 2019d) as compared with DS without dementia. A recent study investigating the changes in cortical networks in the same cohort of patients using microstate analysis suggested an affection in both the fronto‐parietal and temporal brain networks in DS‐AD as compared with DS (Musaeus et al .…”

Section: Introductionmentioning

confidence: 98%

“…2019c; Musaeus et al . 2019d). Furthermore, we examined the association between coherence and an informant‐based rating scale to understand if the changes were correlated to symptoms of dementia.…”

Section: Introductionmentioning

confidence: 99%

“…If possible, the clinical examination and questionnaire should be supplemented by standard diagnostic workup in order to establish the underlying cause, for example, physical and neurological examination, structural brain imaging and routine blood tests. Quantitative electroencephalography (qEEG) has shown promising results in detecting changes in brain activity in persons with DS, who develop AD (Crapper et al 1975;Soininen et al 1993;Visser et al 1996;Musaeus et al 2019c;Musaeus et al 2019d).…”

Section: Introductionmentioning

confidence: 99%

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Electroencephalographic functional connectivity is altered in persons with Down syndrome and Alzheimer's disease

Musaeus

Salem

Kjær

et al. 2020

J intellect Disabil Res

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Background Persons with Down syndrome (DS) are at increased risk of developing Alzheimer's dementia (DS-AD). Due to heterogeneity in the functioning in persons with DS, it is difficult to use cognitive testing to assess whether a person with DS has developed dementia due to AD. Electroencephalography (EEG) functional connectivity has shown promising results as a diagnostic tool for AD in persons without DS. In the current exploratory study, we investigated whether EEG functional connectivity could be used as a diagnostic marker of AD in persons with DS and the association with symptoms. Methods Electroencephalography from 12 persons with DS and 16 persons with DS-AD were analysed, and both coherence and weighted phase lag index were calculated. In addition, we calculated the average coherence for fronto-parietal and temporo-parietal connections. Lastly, we investigated the correlation between the informant-based Dementia Screening Questionnaire in Intellectual Disability (DSQIID) and total alpha coherence. Results Decreased alpha and increased delta coherence and weighted phase lag index were observed in DS-AD as compared with DS. The decrease in alpha coherence was more marked in the fronto-parietal connections as compared with the temporo-parietal connections. No significant correlation was found between DSQIID and total alpha coherence (P value = 0.095, rho = À0.335). Conclusion The decreased alpha coherence and weighted phase lag index have previously been found in AD. The increased delta coherence and weighted phase lag index may indicate a different initial neurophysiological presentation as compared with patients with AD or may be a sign of more advanced disease. Larger studies are needed to confirm the current findings.

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Associations between electroencephalography power and Alzheimer's disease in persons with Down syndrome

Cited by 7 publications

References 28 publications

Using fMRI to Assess Brain Activity in People With Down Syndrome: A Systematic Review

Using fMRI to Assess Brain Activity in People With Down Syndrome: A Systematic Review

Microstate Changes Associated With Alzheimer’s Disease in Persons With Down Syndrome

Electroencephalographic functional connectivity is altered in persons with Down syndrome and Alzheimer's disease

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