Abnormalities of functional cortical source connectivity of resting-state electroencephalographic alpha rhythms are similar in patients with mild cognitive impairment due to Alzheimer's and Lewy body diseases

Babiloni, Claudio; Percio, Claudio Del; Pascarelli, Maria Teresa; Lizio, Roberta; Noce, Giuseppe; Lopez, Susanna; Rizzo, Marco; Ferri, Raffaele; Soricelli, Andrea; Nobili, Flavio; Arnaldi, Dario; Famà, Francesco; Orzi, Francesco; Buttinelli, Carla; Giubilei, Franco; Salvetti, Marco; Cipollini, Virginia; Franciotti, Raffaella; Onofrj, Marco; Stirpe, Paola; Fuhr, Peter; Gschwandtner, Ute; Ransmayr, Gerhard; Aarsland, Dag; Parnetti, Lucilla; Farotti, Lucia; Marizzoni, Moira; D'Antonio, Fabrizia; Lena, Carlo de; Güntekin, Bahar; Hanoğlu, Lütfü; Yener, Görsev; Emek‐Savaş, Derya Durusu; Triggiani, Antonio Ivano; Taylor, John‐Paul; McKeith, Ian; Stocchi, Fabrizio; Vacca, Laura; Hampel, Harald; Frisoni, Giovanni B.; Pandis, Maria Francesca De; Bonanni, Laura

doi:10.1016/j.neurobiolaging.2019.01.013

Cited by 39 publications

(54 citation statements)

References 89 publications

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“…On the other hand, van der Zande 2020 reported AUROC of 0.76-0.97 but sensitivities and specificities were not reported [66]. Connectivity of MCI-LB was only studied in one study, which reported that LLC within the alpha range, were decreased in MCI-LB and MCI-AD compared to age-matched controls; however there was no difference between the MCI groups [54].…”

Section: Prodromal Dlb and Progression To Dementiamentioning

confidence: 99%

The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review

et al. 2020

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Despite improvements in diagnostic criteria for dementia with Lewy bodies (DLB), the ability to discriminate DLB from Alzheimer’s disease (AD) and other dementias remains suboptimal. Electroencephalography (EEG) is currently a supportive biomarker in the diagnosis of DLB. We performed a systematic review to better clarify the diagnostic and prognostic role of EEG in DLB and define the clinical correlates of various EEG features described in DLB. MEDLINE, EMBASE, and PsycINFO were searched using search strategies for relevant articles up to 6 August 2020. We included 43 studies comparing EEG in DLB with other diagnoses, 42 of them included a comparison of DLB with AD, 10 studies compared DLB with Parkinson’s disease dementia, and 6 studies compared DLB with other dementias. The studies were visual EEG assessment (6), quantitative EEG (35) and event-related potential studies (2). The most consistent observation was the slowing of the dominant EEG rhythm (<8 Hz) assessed visually or through quantitative EEG, which was observed in ~90% of patients with DLB and only ~10% of patients with AD. Other findings based on qualitative rating, spectral power analyses, connectivity, microstate and machine learning algorithms were largely heterogenous due to differences in study design, EEG acquisition, preprocessing and analysis. EEG protocols should be standardized to allow replication and validation of promising EEG features as potential biomarkers in DLB.

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Section: Prodromal Dlb and Progression To Dementiamentioning

confidence: 99%

The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review

et al. 2020

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“…In addition, the HS group also showed higher alpha frontotemporal and higher beta frequencies in the centrotemporoparietal leads. The activity in these frequency bands has been observed to be diminished in patients with MCI [ 48 ] and dementia [ 4 , 5 ], as compared with healthy elderly people; moreover, an increased p - and t-tau significantly correlated with decreased alpha and beta activity [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

“…In patients with Alzheimer's disease, specific alterations in the temporoparietal area of the brain right hemisphere have been described [47]. Moreover, Babiloni et al (2016) suggest a direct relationship between resting-state cortical hypometabolism and synchronization of cortical neurons at delta rhythms in AD patients [48]; this was more evident in ventromedial frontal, associative temporoparietal, posterior cingulate, and precuneus areas. Furthermore, a decrease in amyloid β42 in cerebrospinal fluid significantly correlated with an increase in theta and delta activity [49].…”

Section: Ses Effects On Eegmentioning

confidence: 99%

Resting EEG, Hair Cortisol and Cognitive Performance in Healthy Older People with Different Perceived Socioeconomic Status

et al. 2020

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Successful aging depends upon several internal and external factors that influence the overall aging process. Objective and subjective socioeconomic status emerge as potential psychosocial factors in the ethiopathophysiology of aging-related disorders. Presumably, low socioeconomic status can act as a psychosocial stressor that can affect humans’ physiology via psychoneuroendocrine mechanisms, that may, in turn, affect the brain physiology. In resting-state electroencephalography (EEG), excess theta and delta activity has been related to cognitive decline and dementia. The main aim of this study was to analyze the effect of objective and subjective socioeconomic status (SES) on cognition and brain electrical activity through EEG measures. The present research constitutes a cross-sectional study with thirty healthy older adults (61–82 years old) separated into two clusters: high socioeconomic (HS) and low socioeconomic (LS) status; they were evaluated and compared in cognitive terms using the Wechsler Adult Intelligence Scale (WAIS-IV). An EEG at rest was recorded to measure brain activity and, as an indicator of long-term stress exposure, hair cortisol concentrations (HCC) were measured. Our results show that lower SES is related to a worse performance in working memory tasks (p = 0.009), higher delta (p = 0.002) and theta power (p = 0.039), and lower alpha activity (p = 0.028). However, it seems that SES does not significantly affect HCC in this population of healthy older adults. The effects of SES on long-term cortisol exposure, brain electrical activity, and cognitive functions in healthy older people emphasize the role of psychosocial factors in aging from an integrative perspective that will allow us to implement better prevention programs to target cognitive decline in adults.

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“…Whereas two did not find any significant differences (Chaturvedi et al [99], n = 27 PD-MCI, 43 PD-CH; Utianski et al [108], n = 13 PD-MCI, 57 PD-CH), one found more synchronization in the upper alpha band in people with PD-MCI (Carmona Arroyave et al [109], n = 14 PD-MCI, 22 PD-CH). The only study that compared people with DLB-MCI to cognitively healthy older adults found less synchronization in lower and upper alpha bands in people with DLB-MCI (Babiloni et al [110], n = 23 DLB-MCI, 30 OA).…”

Section: Alpha Power and Functional Connectivity During Wakeful Restmentioning

confidence: 99%

“…We also observed that EEG was mostly recorded with a small number of electrodes, which could lead to imprecise measures of alpha power and connectivity in source space, and alpha connectivity in sensor space. Most studies that measured alpha at reconstructed sources used 19 or 20 electrodes [56,72,81,89,94,98,101,103,110,115,207], which is, according to COBIDAS-MEEG guidelines [82], not sufficient for precise source localization. Furthermore, when connectivity is measured in sensor space with a small number of electrodes and without spatial filters, it can lead to spurious connections.…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis

Lejko

Larabi

Herrmann

et al. 2020

JAD

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Background: Mild cognitive impairment (MCI) is a stage between expected age-related cognitive decline and dementia. Dementias have been associated with changes in neural oscillations across the frequency spectrum, including the alpha range. Alpha is the most prominent rhythm in human EEG and is best detected during awake resting state (RS). Though several studies measured alpha power and synchronization in MCI, findings have not yet been integrated. Objective: To consolidate findings on power and synchronization of alpha oscillations across stages of cognitive decline. Methods: We included studies published until January 2020 that compared power or functional connectivity between 1) people with MCI and cognitively healthy older adults (OA) or people with a neurodegenerative dementia, and 2) people with progressive and stable MCI. Random-effects meta-analyses were performed when enough data was available. Results: Sixty-eight studies were included in the review. Global RS alpha power was lower in AD than in MCI (ES = –0.30; 95% CI = –0.51, –0.10; k = 6), and in MCI than in OA (ES = –1.49; 95% CI = –2.69, –0.29; k = 5). However, the latter meta-analysis should be interpreted cautiously due to high heterogeneity. The review showed lower RS alpha power in progressive than in stable MCI, and lower task-related alpha reactivity in MCI than in OA. People with MCI had both lower and higher functional connectivity than OA. Publications lacked consistency in MCI diagnosis and EEG measures. Conclusion: Research indicates that RS alpha power decreases with increasing impairment, and could—combined with measures from other frequency bands—become a biomarker of early cognitive decline.

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Abnormalities of functional cortical source connectivity of resting-state electroencephalographic alpha rhythms are similar in patients with mild cognitive impairment due to Alzheimer's and Lewy body diseases

Cited by 39 publications

References 89 publications

The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review

The Role of EEG in the Diagnosis, Prognosis and Clinical Correlations of Dementia with Lewy Bodies—A Systematic Review

Resting EEG, Hair Cortisol and Cognitive Performance in Healthy Older People with Different Perceived Socioeconomic Status

Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis

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