EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects

Gouw, Alida A.; Alsema, Astrid M.; Tijms, Betty M.; Borta, Andreas; Scheltens, Philip; Stam, Cornelis J.; Flier, Wiesje M. van der

doi:10.1016/j.neurobiolaging.2017.05.017

Cited by 117 publications

(132 citation statements)

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“…Regarding differences between brain regions at the sensor and source level, we observed an increase in the low frequency band in the EF group in the frontal area, and a decrease in the beta band in the tempo-parietal as well as the frontal area. This is consistent with reported EEG patterns as a predictive factor of clinical progression to AD in several studies [34,37] and may be associated with an anterior shift in band frequency source [34]. Accordingly, disease progression to AD may be more easily predictable in patients with amnestic MCI with EF than in those with RF.…”

Section: Discussionsupporting

confidence: 90%

“…ROIs with remaining all other 67 ROIs. We have estimated the functional connectivity at eight frequency bands (delta[1][2][3][4], theta[4][5][6][7][8], alpha1[8][9][10], alpha2[10][11][12], beta1[12][13][14][15], beta2[15][16][17][18][19][20], beta3[20][21][22][23][24][25][26][27][28][29][30], and gamma[30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45].2.3 ...…”

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confidence: 99%

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Differences between encoding and retrieval failure in mild cognitive impairment: results from quantitative electroencephalography and magnetic resonance volumetry

Han

Pyun

Yeo

et al. 2020

Preprint

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Background: The memory impairments in mild cognitive impairment (MCI) can be classified into encoding (EF) and retrieval (RF) failure, which can be affected by underlying pathomechanism. We explored the differences structurally and functionally.Methods: We compared quantitative electroencephalography (qEEG) power spectra and connectivity between 87 MCI patients with EF and 78 MCI with RF using iSyncBrain ™ (iMediSync, Inc., Korea) (https://isyncbrain.com/). Voxel-based morphometric analysis of the gray matter (GM) in the MCI groups and 71 cognitive normal controls were also done using the Computational Anatomy Toolbox 12 (http://www.neuro.uni-jena.de/cat/).Results: qEEG showed higher frontal theta and lower beta2 band power and higher theta and lower beta connectivity in the EF. There was no statistically significant difference in GM volume between the EF and RF. However, when compared to normal control, GM volume reductions due to EF in the left thalamus and bilateral hippocampi and reductions due to RF in the left thalamus, right superior frontal lobe, right superior temporal lobe, and right middle cingulum were observed ( p < 0.05, family-wise error correction). Conclusions: MCI differs functionally and structurally according to their specific memory impairments. The EF findings are structurally and functionally more consistent with the prodromal Alzheimer's disease stage than the RF findings. Since this study is a cross-sectional study, prospective follow-up studies are needed to investigate whether different types of memory impairments can predict the underlying pathology of amnestic MCI. Additionally, insufficient sample size may lead to ambiguous statistical findings in direct comparisons, a larger patient cohort could more robustly identify differences in GM volume reductions between the EF and the RF group.

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Section: Discussionsupporting

confidence: 90%

mentioning

confidence: 99%

Differences between encoding and retrieval failure in mild cognitive impairment: results from quantitative electroencephalography and magnetic resonance volumetry

Han

Pyun

Yeo

et al. 2020

Preprint

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“…They were relaxed with eyes closed (no photic and hyper-ventilatory stimulation). Video-EEG recordings were performed using 21-electrodes of the standard international 10-20 electrode placement (30). EEG technicians and physicians supervising the EEG recordings monitored it carefully, alerting the patients by sound stimuli at first signs of drowsiness.…”

Section: Video Eeg Recordings and Quantitative Eeg Analysismentioning

confidence: 99%

Late-Onset Epilepsy With Unknown Etiology: A Pilot Study on Neuropsychological Profile, Cerebrospinal Fluid Biomarkers, and Quantitative EEG Characteristics

et al. 2020

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Introduction: Despite the fact that epilepsy has been associated with cognitive decline, neuropsychological, neurobiological, and neurophysiological features in patients with late-onset epilepsy of unknown etiology (LOEU) are still unknown. This cross-sectional study aims to investigate the neuropsychological profile, cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD), and resting-state quantitative electroencephalographic (qEEG) cortical rhythms in LOEU patients with mild cognitive impairment (LOEU-MCI) and with normal cognition (LOEU-CN), compared to non-epileptic MCI (NE-MCI) and cognitively normal (CN) controls. Methods: Consecutive patients in two clinical Units diagnosed with LOEU-CN (19), LOEU-MCI (27), and NE-MCI (21) were enrolled, and compared to age and sex-matched cognitively normal subjects CN (11). Patients underwent standardized comprehensive neuropsychological evaluation and CSF core AD biomarkers assessment (i.e., CSF Aβ42, phospho-tau and total tau, classified through A/T/(N) system). Recordings of resting-state eyes-closed electroencephalographic (EEG) rhythms were collected and cortical source estimation of delta (<4 Hz) to gamma (>30 Hz) bands with exact Low Resolution Electromagnetic Tomography (eLORETA) was performed. Results: Most LOEU patients had an MCI status at seizure onset (59%). Patients with LOEU-MCI performed significantly worse on measures of global cognition, visuo-spatial abilities, and executive functions compared to NE-MCI patients (p < 0.05). Regarding MCI subtypes, multiple-domain MCI was 3-fold more frequent in LOEU-MCI than in NE-MCI patients (OR 3.14, 95%CI 0.93-10.58, p = 0.06). CSF Aβ42 levels were lower in the LOEU-MCI compared with the LOEU-CN group. Finally, parietal and occipital sources of alpha (8-12 Hz) rhythms were less active in the LOEU-MCI than in the NE-MCI and CN groups, while the opposite was true for frontal and temporal cortical delta sources. Nardi Cesarini et al. LOEU: Cognitive, CSF, qEEG Profile Discussion: MCI status was relatively frequent in LOEU patients, involved multiple cognitive domains, and might have been driven by amyloidosis according to CSF biomarkers. LOEU-MCI status was associated with abnormalities in cortical sources of EEG rhythms related to quiet vigilance. Future longitudinal studies should cross-validate our findings and test the predictive value of CSF and EEG variables.

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“…The distinctive vascular risk factors include the apolipoprotein E 4 subtype that is genetically determined but that is targeted to the endothelial cells of microvessels as one selective substrate for dementia progression. Electroencephalography-derived measures of brain oscillatory activity relate to clinical progression in amyloid-positive non-demented subjects [18].…”

Section: Heterogeneitymentioning

confidence: 99%

Essential Dynamic Transformation as Specific Highly Characterizable Indices of Progression of the Initial Mild Cognitive Impairment Phase of Alzheimer Patients

Agius¹

2018

NNOAJ

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Dynamics of transforming potential underlie the systems of heterogeneous progression to a final demented state in Alzheimer patients. Such dynamics reflect many of the attributes of an essentially variable vascular series of substrates that implicate various component systems of the blood brain barrier as endothelium and also of the subcortical structures and cortex as further delineated by systems of heterogeneous nature in progression of the mild cognitive impairment of Alzheimer type. Transforming dynamics of initial mild phases of cognitive impairment come to assume a dominant profile determination that characterises the subsequent emergence of neuronal lesions and of neuronal cell loss as suggested by development of synaptic pathology and as further projected by the development of neuritic plaques and neurofibrillary tangles. Amyloid-beta is a recognizable feature of Alzheimer pathology that evolves as accumulative dimensions of such Alzheimer pathology.

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EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects

Cited by 117 publications

References 64 publications

Differences between encoding and retrieval failure in mild cognitive impairment: results from quantitative electroencephalography and magnetic resonance volumetry

Differences between encoding and retrieval failure in mild cognitive impairment: results from quantitative electroencephalography and magnetic resonance volumetry

Late-Onset Epilepsy With Unknown Etiology: A Pilot Study on Neuropsychological Profile, Cerebrospinal Fluid Biomarkers, and Quantitative EEG Characteristics

Essential Dynamic Transformation as Specific Highly Characterizable Indices of Progression of the Initial Mild Cognitive Impairment Phase of Alzheimer Patients

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