Abnormalities of Cortical Sources of Resting State Delta Electroencephalographic Rhythms Are Related to Epileptiform Activity in Patients With Amnesic Mild Cognitive Impairment Not Due to Alzheimer's Disease

Babiloni, Claudio; Noce, Giuseppe; Bonaventura, Carlo Di; Lizio, Roberta; Pascarelli, Maria Teresa; Tucci, Federico; Soricelli, Andrea; Ferri, Raffaele; Nobili, Flavio; Famà, Francesco; Palma, Eleonora; Cifelli, Pierangelo; Marizzoni, Moira; Stocchi, Fabrizio; Frisoni, Giovanni B.; Percio, Claudio Del

doi:10.3389/fneur.2020.514136

Cited by 8 publications

(11 citation statements)

References 74 publications

(113 reference statements)

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“…Studies by other researchers ( Nayak et al, 2004 ; Koessler et al, 2015 ) also pointed out that mTL spikes or seizures might be detected by quantitative EEG signatures though they are invisible on a scalp EEG. Babiloni et al (2020) found that higher temporal delta source activities are more strongly associated with clinical seizures in AD by estimating regional EEG cortical sources using exact low-resolution brain electromagnetic tomography (eLORETA) freeware. They used the area under receiver operating characteristic (AUROC) curves to index the accuracy of eLORETA solutions in identifying seizures and found an accuracy of 69% ( Babiloni et al, 2020 ).…”

Section: Computational Approachesmentioning

confidence: 99%

Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Liu

et al. 2021

Front. Hum. Neurosci.

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Cortical network hyperexcitability is an inextricable feature of Alzheimer’s disease (AD) that also might accelerate its progression. Seizures are reported in 10–22% of patients with AD, and subclinical epileptiform abnormalities have been identified in 21–42% of patients with AD without seizures. Accurate identification of hyperexcitability and appropriate intervention to slow the compromise of cognitive functions of AD might open up a new approach to treatment. Based on the results of several studies, epileptiform discharges, especially those with specific features (including high frequency, robust morphology, right temporal location, and occurrence during awake or rapid eye movement states), frequent small sharp spikes (SSSs), temporal intermittent rhythmic delta activities (TIRDAs), and paroxysmal slow wave events (PSWEs) recorded in long-term scalp electroencephalogram (EEG) provide sufficient sensitivity and specificity in detecting cortical network hyperexcitability and epileptogenicity of AD. In addition, magnetoencephalogram (MEG), foramen ovale (FO) electrodes, and computational approaches help to find subclinical seizures that are invisible on scalp EEGs. We performed a comprehensive analysis of the aforementioned electrophysiological biomarkers of AD-related seizures.

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Section: Computational Approachesmentioning

confidence: 99%

Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Liu

et al. 2021

Front. Hum. Neurosci.

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“…The most common pattern of results reports EEG slowing in MCI compared with healthy aging in middle-high frequencies, typically characterized by a reduction in spectral power in the alpha band [25][26][27][28][29][30][31]. Furthermore, increases in delta and theta power have also been reported [28,[32][33][34][35]]. As a typical example, Babiloni et al [30] statistically tested for differences in the power spectra in a matched group of individuals with MCI and healthy controls, finding an overall decrease in posterior brain alpha power in MCI and increase in parietal delta power in MCI relative to controls.…”

Section: Resting-statementioning

confidence: 99%

Examining the Use of Electroencephalography for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

Abdallah

2021

URNCST Journal

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Introduction: Alzheimer's disease is a type of dementia characterized by a buildup of ꞵ-amyloid plaques and neurofibrillary tangles. Prior to the development of Alzheimer's disease, patients may experience mild cognitive impairment, characterized by a decline in cognitive abilities while maintaining independent function. Electroencephalography has shown promise as a clinical predictor of mild cognitive impairment. The purpose of this study is to review the existing literature on clinical biomarkers using resting-state electroencephalography or event-related potentials to differentiate Alzheimer's disease or mild cognitive impairment from normal aging. Methods: A search of primary research articles was conducted in PubMed. Selected articles examined mild cognitive impairment and Alzheimer's disease utilising electroencephalography, event-related potential data, and resting-state data. Reviews, conference abstracts, and studies without human controls were excluded. Results: Our search identified 100 and 125 records on resting-state and event-related potential data, respectively. The most common findings from resting-state studies included a reduction in alpha power, an increase in delta and theta power, a reduction in signal complexity, and differences in functional connectivity. The most common findings from event-related potential studies included reduction in P3 wave amplitude, as well as latency in both P3 and N2 waves. Discussion: Resting-state and event-related potential electroencephalography studies indicate distinct changes in oscillatory brain activity and waveform shape which indicate distinct differences in MCI or AD compared to HC which may be clinically relevant. Conclusion:There is evidence to support the use of certain electroencephalographic biomarkers for the diagnosis of Alzheimer's disease or mild cognitive impairment. Future research should seek to examine how best to apply these findings in a clinical setting.

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“…In the report of Brunetti et al ( 19 ), dedicated software was used for spike detection after which discharges were manually revised. The most complex reporting protocol was applied in the study of Babiloni et al ( 22 ) based on two current reference guidelines ( 26 , 27 ). SEA needed to fulfill at least four of the following six criteria: (1) Di- or triphasic waves with sharp or spiky morphology; (2) different wave durations from the ongoing background activity, either shorter or longer; (3) asymmetry of the waveform: a sharply rising ascending phase and a more slowly decaying descending phase or vice versa; (4) transient component of SEA followed by an associated slow after wave; (5) background EEG activity surrounding SEA disrupted by the presence of the SEA; and (6) distribution of the negative and positive EEG potentials on the scalp suggesting a focal source of the signal in the cortex, corresponding to a radial, oblique, or tangential orientation of the (dipole) source.…”

Section: Introductionmentioning

confidence: 99%

“…The SEA positive and negative groups are compared with neuropsychology only in a few studies with different test batteries. No differences were reported with the Mini-Mental State Examination (MMSE) ( 9 , 13 , 21 , 22 ) and with the Clinical Dementia Rating Scale (CDR) ( 21 ). However, patients with SEA had significantly lower scores on memory measured with the Addenbrooke Cognitive Examination (ACE) in the recent study of Horvath et al ( 13 ).…”

Section: Introductionmentioning

confidence: 99%

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The Significance of Subclinical Epileptiform Activity in Alzheimer's Disease: A Review

et al. 2022

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Hyperexcitability is a recently recognized contributor to the pathophysiology of Alzheimer's disease (AD). Subclinical epileptiform activity (SEA) is a neurophysiological sign of cortical hyperexcitability; however, the results of the studies in this field vary due to differences in the applied methodology. The aim of this review is to summarize the results of the related studies aiming to describe the characteristic features and significance of subclinical epileptiform discharges in the pathophysiologic process of AD from three different directions: (1) what SEA is; (2) why we should diagnose SEA, and (3) how we should diagnose SEA. We scrutinized both the completed and ongoing antiepileptic drug trials in AD where SEA served as a grouping variable or an outcome measure. SEA seems to appear predominantly in slow-wave sleep and in the left temporal region and to compromise cognitive functions. We clarify using supportive literature the high sensitivity of overnight electroencephalography (EEG) in the detection of epileptiform discharges. Finally, we present the most important research questions around SEA and provide an overview of the possible solutions.

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Abnormalities of Cortical Sources of Resting State Delta Electroencephalographic Rhythms Are Related to Epileptiform Activity in Patients With Amnesic Mild Cognitive Impairment Not Due to Alzheimer's Disease

Cited by 8 publications

References 74 publications

Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease

Examining the Use of Electroencephalography for the Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment

The Significance of Subclinical Epileptiform Activity in Alzheimer's Disease: A Review

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