scholarly journals Greek High Phenolic Early Harvest Extra Virgin Olive Oil Reduces the Over-Excitation of Information Flow based on Dominant Coupling Model in patients with Mild Cognitive Impairment: An EEG Resting-State Validation Approach

2021 ◽  
Author(s):  
Stavros I. Dimitriadis ◽  
Christos Lyssoudis ◽  
Anthoula C. Tsolaki ◽  
Eftychia Lazarou ◽  
Mahi Kozori ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Information Flow ◽  
Resting State ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Signal Spectrum ◽  
Brain Areas ◽  
Coupling Mode ◽  
Frequency Coupling ◽  
Early Harvest

AbstractObjectiveThe balance of cross-frequency coupling (CFC) over within-frequency coupling (WFC) can build a nonlinearity index (NI) that encapsulates the over-excitation of information flow between brain areas and across experimental time. The present study investigated for the very first time how the Greek High Phenolic Early Harvest Extra Virgin Olive Oil (HP-EH-EVOO) versus Moderate Phenolic (MP-EVOO) and Mediterranean Diet (MeDi) intervention in people with Mild Cognitive Impairment (MCI) could affect their spontaneous EEG dynamic connectivity.MethodsFourty three subjects (14 in MeDi, 16 in MP-EVOO and 13 in HP-EH-EVOO) followed an EEG resting-state recording session (eyes-open and closed) before and after the treatment. Following our dominant coupling mode model (DoCM), we built a dynamic integrated dynamic functional connectivity graph (iDFCG) that tabulates both the functional strength and the DoCM of every pair of brain areas.ResultsSignal spectrum within 1-13 Hz and theta/beta ratio have been decreased in the HP-EH-EVOO group in both conditions. FIDoCM has been improved after the intervention across groups and conditions but was more prominent in HP-EH-EVOO group (p < 0.001). Finally,we revealed a significant higher post-intervention reduction of NI (ΔNITotal and α) for the HP-EH-EVOO compared to the MP-EVOO and MeDi groups (p < 0.0001).ConclusionsLong-term intervention with HP-EH-EVOO reduced the over-excitation of information flow in spontaneous brain activity.SignificanceOur study confirms the alteration of signal spectrum of EEG rhythms and dominant coupling mode due to the intervention with HP-EH-EVOO nutrition protocol.HighlightsNon-pharmaceutical intervention based on HP-EH-EVOO in MCI reduces the over-excitation of information flowNon-pharmaceutical intervention based on HP-EH-EVOO in MCI increases the human brain flexibilityReconfiguration of dominant coupling modes in EEG resting-state due to the intervention is modulated by alpha frequency

A Randomized Clinical Trial of Greek High Phenolic Early Harvest Extra Virgin Olive Oil in Mild Cognitive Impairment: The MICOIL Pilot Study

2020 ◽  
Vol 78 (2) ◽  
pp. 801-817 ◽  
Author(s):  
Magda Tsolaki ◽  
Eftychia Lazarou ◽  
Mahi Kozori ◽  
Niki Petridou ◽  
Irene Tabakis ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Group 3 ◽  
Group 2 ◽  
Almost All ◽  
Early Harvest ◽  
Group 1

Background: Extra virgin olive oil (EVOO) constitutes a natural compound with high protection over cognitive function. Objective: To investigate for the first time the effect of Greek High Phenolic Early Harvest Extra Virgin Olive Oil (HP-EH-EVOO) versus Moderate Phenolic (MP-EVOO) and Mediterranean Diet (MeDi) in people with mild cognitive impairment (MCI). Methods: We conducted a randomized prospective study so as to examine the HP-EH-EVOO and MP-EVOO versus MeDi in MCI. Genetic predisposition (APOE ɛ4) to Alzheimer’s disease (AD) was tested and an extensive neuropsychological battery was administered at baseline and after 12 months. Each participant was randomized and assigned one of three groups: 1) Group 1 received the HP-EH-EVOO (50 mL/day); 2) Group 2 received the MP-EVOO (50 mL/day), and 3) Group 3 received only the MeDi instructions. Results: Better follow-up performance was found in Group 1 compared to Group 2 and Group 3 in the almost all cognitive domains. Moreover, Group 2 showed also significant improvement compared to Group 3 in ADAS-cog (p = 0.001) and MMSE (p = 0.05), whereas Group 3 exhibited worse or similar to baseline performance in almost all domains. In particular, Group 1 and Group 2 had better outcomes with regards to ADAS-cog (p = 0.003), Digit Span (p = 0.006), and Letter fluency (p = 0.003). Moreover, there was a significant difference (p = 0.001) in the presence of APOE ɛ4 between the Groups 1 and 2 versus Group 3. Conclusion: Long-term intervention with HP-EH-EVOO or MP-EVOO was associated with significant improvement in cognitive function compared to MeDi, independent of the presence of APOE ɛ4.

scholarly journals Benefit of Oleuropein Aglycone for Alzheimer’s Disease by Promoting Autophagy

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Joaquín G. Cordero ◽  
Ramón García-Escudero ◽  
Jesús Avila ◽  
Ricardo Gargini ◽  
Vega García-Escudero
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Autophagy Gene ◽  
Potential Benefits ◽  
And Oxidative Stress

Alzheimer’s disease is a proteinopathy characterized by accumulation of hyperphosphorylated Tau and β-amyloid. Autophagy is a physiological process by which aggregated proteins and damaged organelles are eliminated through lysosomal digestion. Autophagy deficiency has been demonstrated in Alzheimer’s patients impairing effective elimination of aggregates and damaged mitochondria, leading to their accumulation, increasing their toxicity and oxidative stress. In the present study, we demonstrated by microarray analysis the downregulation of fundamental autophagy and mitophagy pathways in Alzheimer’s patients. The benefits of the Mediterranean diet on Alzheimer’s disease and cognitive impairment are well known, attributing this effect to several polyphenols, such as oleuropein aglycone (OLE), present in extra virgin olive oil. OLE is able to induce autophagy, achieving a decrease of aggregated proteins and a reduction of cognitive impairment in vivo. This effect is caused by the modulation of several pathways including the AMPK/mTOR axis and the activation of autophagy gene expression mediated by sirtuins and histone acetylation or EB transcription factor. We propose that supplementation of diet with extra virgin olive oil might have potential benefits for Alzheimer’s patients by the induction of autophagy by OLE.

scholarly journals Modeling the Switching behavior of Functional Connectivity Microstates (FCμstates) as a Novel Biomarker for Mild Cognitive Impairment

2019 ◽  
Author(s):  
SI Dimitriadis ◽  
María Eugenia López ◽  
Fernando Maestu ◽  
Ernesto Pereda
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Functional Connectivity ◽  
Resting State ◽  
External Validation ◽  
Clinical Importance ◽  
Switching Behavior ◽  
Phase Lag ◽  
Dynamic Functional Connectivity ◽  
Frequency Coupling

AbstractIt is evident the need for designing and validating novel biomarkers for the detection of mild cognitive impairment (MCI). MCI patients have a high risk of developing Alzheimer’s disease (AD), and for that reason the introduction of novel and reliable biomarkers is of significant clinical importance. Motivated by recent findings about the rich information of dynamic functional connectivity graphs (DFCGs) about brain (dys)function, we introduced a novel approach of identifying MCI based on magnetoencephalographic (MEG) resting state recordings.The activity of different brain rhythms {δ, θ, α1, α2, β1, β2, γ1, γ2} was first beamformed with linear constrained minimum norm variance in the MEG data to determine ninety anatomical regions of interest (ROIs). A dynamic functional connectivity graph (DFCG) was then estimated using the imaginary part of phase lag value (iPLV) for both intra-frequency coupling (8) and also cross-frequency coupling pairs (28). We analyzed DFCG profiles of neuromagnetic resting state recordings of 18 Mild Cognitive Impairment (MCI) patients and 20 healthy controls. We followed our model of identifying the dominant intrinsic coupling mode (DICM) across MEG sources and temporal segments that further leads to the construction of an integrated DFCG (iDFCG). We then filtered statistically and topologically every snapshot of the iDFCG with data-driven approaches. Estimation of the normalized Laplacian transformation for every temporal segment of the iDFCG and the related eigenvalues created a 2D map based on the network metric time series of the eigenvalues (NMTSeigs). NMTSeigs preserves the non-stationarity of the fluctuated synchronizability of iDCFG for each subject. Employing the initial set of 20 healthy elders and 20 MCI patients, as training set, we built an overcomplete dictionary set of network microstates (nμstates). Afterward, we tested the whole procedure in an extra blind set of 20 subjects for external validation.We succeeded a high classification accuracy on the blind dataset (85 %) which further supports the proposed Markovian modeling of the evolution of brain states. The adaptation of appropriate neuroinformatic tools that combine advanced signal processing and network neuroscience tools could manipulate properly the non-stationarity of time-resolved FC patterns revealing a robust biomarker for MCI.

Restoration of BMI1 levels after the administration of early harvest extra virgin olive oil as a therapeutic strategy against Alzheimer's disease

2021 ◽  
Vol 144 ◽  
pp. 111178
Author(s):  
Elena E. Tzekaki ◽  
Angelos Papaspyropoulos ◽  
Magda Tsolaki ◽  
Eftychia Lazarou ◽  
Mahi Kozori ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Olive Oil ◽  
Therapeutic Strategy ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Early Harvest

Abstract TP457: Brain Functional Alterations in Patients With Leukoaraiosis Associated Mild Cognitive Impairment

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Na Li ◽  
Yu Mei Zhang ◽  
Yong Jun Wang
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Resting State ◽  
Brain Mri ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Control Group ◽  
Hamilton Depression Scale ◽  
Brain Areas ◽  
Significant Difference

Background and aims: Recent studies demonstrated that a signal change of functional magnetic resonance imaging (fMRI) in certain brain areas during the resting state is a significant marker in patients with mild cognitive impairment (MCI). However, the research of resting-state fMRI (rs-fMRI) on leukoaraiosis (LA) associated MCI is scarce. The aim of this study was to investigate differences of the rs-fMRI default network between patients with LA-associated MCI and normal subjects, and provide functional imaging evidence of LA-associated MCI during early stages of the disease. Method: All subjects were outpatients or thier residents of the Department of Neurology of the Beijing Tiantan Hospital. They were divided into MCI group and control group according to their cognitive function assessing by the Hamilton Depression Scale, Clinical Dementia Rating (CDR), Mini Mental State Exam and Montreal Cognitive Assessment. Demographic information was recorded. Brain MRI characteristics were assessed using the Fazekas scale. The independent components of fMRI data were analyzed by fMRI tool box. The experimental data and confounding factors were analyzed by General Liner Model. Results: A total of 31 right-handed patients with LA-associated MCI and 27 right-handed healthy control subjects were included. The active areas participating in the resting state for LA-associated MCI group were mostly consistent with those of the control group. Compared with controls, the LA-associated MCI patients exhibited significantly lower blood oxygen level-dependent (BOLD) signals in the left anterior cingulate cortex (P=0.021) and right parahippocampal gyrus (P=0.032). Whereas higher BOLD signals during the resting state in LA-associated MCI patients were observed in the left caudate nucleus (P=0.015), right frontal lobe (P=0.004), superior temporal gyrus and inferior parietal gyrus (P=0.001), No significant difference was shown in the posterior cingulate cortex and precuneus (P=0.138). Conclusion: Our findings demonstrated that the discriminating functional activation in specific brain areas could be identified in patients with LA-associated MCI, which might be used as an useful neuroimaging evidence for the early recognition of these patients.

The use of software packages of R factoextra and FactoMineR and their application in principal component analysis for authentication of oils

2020 ◽  
pp. 1
Author(s):  
Irnawati Irnawati ◽  
Florentinus Dika Octa Riswanto ◽  
Sugeng Riyanto ◽  
Sudibyo Martono ◽  
Abdul Rohman
Keyword(s):  
Principal Component Analysis ◽  
Human Life ◽  
Virgin Olive Oil ◽  
Principal Component ◽  
Extra Virgin Olive Oil ◽  
Component Analysis ◽  
R Software ◽  
Software Packages ◽  
Similar Chemical ◽  
Potential Benefits

Several oils have been reported as nutritional source and providing potential benefits for human life. Oil adulteration becomes major issue due to economical attempt to reduce the price of high cost oils. The employment of FTIR spectroscopy combined with Principal Component Analysis (PCA) technique can be applied in oils authentication study. Two of R software packages namely factoextra and FactoMineR were exploited to perform PCA for analysis sixteen various oils from market in Yogyakarta, Indonesia. The results showed that PCA model have been successfully generated using these two statistical packages. Individual plot, variable plot, and biplot were presented to visualize the PCA model. It was also proved that extra virgin olive oil (EVOO) has similar chemical characteristics to palm oil (PO) as reported in the previous study.

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