Donepezil effects on sources of cortical rhythms in mild Alzheimer's disease: Responders vs. Non-Responders

Babiloni, Claudio; Cassetta, Emanuele; Forno, Gloria Dal; Percio, Claudio Del; Ferreri, Florinda; Ferri, Raffaele; Lanuzza, Bartolo; Miniussi, Carlo; Moretti, Davide; Nobili, Flavio; Pascual-Marqui, Roberto D.; Rodriguez, Guido; Romani, Gian Luca; Salinari, S.; Zanetti, Orazio; Rossini, Paolo Maria

doi:10.1016/j.neuroimage.2006.02.015

Cited by 102 publications

(103 citation statements)

References 90 publications

(100 reference statements)

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“…Interestingly, various studies have constructed source models from the EEG of MCI and AD patients [108,153,154,155,156,157,158,159,160]. We will discuss some of those studies later on in this paper.…”

Section: Perturbations In Eeg Synchrony: Discussionmentioning

confidence: 99%

“…Recent reports investigate the effect of ibuprofen [158], rivastigmine [205], cholinesterase inhibitors [206], tetrahydroaminoacridine [207], and donepezil [159,208] on the EEG of AD patients. Although those studies provide exciting preliminary results, more work along those lines will be needed before any solid conclusions can be drawn.…”

Section: Effect Of Ad Therapies and Medication On Eegmentioning

confidence: 99%

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Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

Dauwels¹,

Vialatte²,

Cichocki³

2010

CAR

389

188

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This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from electroencephalograms (EEG). Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony. In recent years, a variety of sophisticated computational approaches has been proposed to detect those subtle perturbations in the EEG of AD patients. The paper first describes methods that try to detect slowing of the EEG. Next the paper deals with several measures for EEG complexity, and explains how those measures have been used to study fluctuations in EEG complexity in AD patients. Then various measures of EEG synchrony are considered in the context of AD diagnosis.Also the issue of EEG pre-processing is briefly addressed. Before one can analyze EEG, it is necessary to remove artifacts due to for example head and eye movement or interference from electronic equipment. Pre-processing of EEG has in recent years received much attention. In this paper, several state-of-the-art pre-processing techniques are outlined, for example, based on blind source separation and other non-linear filtering paradigms.In addition, the paper outlines opportunities and limitations of computational approaches for diagnosing AD based on EEG. At last, future challenges and open problems are discussed.

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Section: Perturbations In Eeg Synchrony: Discussionmentioning

confidence: 99%

Section: Effect Of Ad Therapies and Medication On Eegmentioning

confidence: 99%

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

Dauwels¹,

Vialatte²,

Cichocki³

2010

CAR

389

188

View full text Add to dashboard Cite

show abstract

“…Another interesting line of research is to investigate the effect of medication and therapy on the EEG of AD patients (see, e.g., [38][39][40][41][42][43]). …”

Section: Discussionmentioning

confidence: 99%

On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review

Dauwels

Vialatte

Cichocki

2010

Advances in Cognitive Neurodynamics (II)

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“…The procedure is reported in the following. Firstly, we selected the standard fixed frequency bands in line with previous field studies of our research group [14,[32][33][34][35], namely delta (2-4 Hz), theta (4-8 Hz), alpha1 (8.5-10 Hz), alpha2 (10.5-13 Hz), beta1 (13.5-20 Hz), beta2 (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (30-40 Hz). Secondly, eLORETA solutions using the following fixed frequency bands were computed.…”

Section: Control Analysismentioning

confidence: 99%

“…LORETA estimation unveiled a positive correlation between activities in the posterior cortical regional sources of low-frequency alpha rhythms (8-10.5 Hz) and the global cognitive status in Nold, ADMCI, and ADD subjects as a whole group; in contrast, that correlation was negative for occipital cortical sources of the delta rhythms [14,[32][33][34]. Compared to the groups of Nold and ADD subjects, the PPD group exhibited a higher activity in the central delta and posterior theta sources, besides a lower activity in the posterior beta sources [35].…”

Section: Introductionmentioning

confidence: 98%

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

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Abstract. The aim of this retrospective and exploratory study was that the cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms might reveal different abnormalities in cortical neural synchronization in groups of patients with mild cognitive impairment due to Alzheimer's disease (ADMCI) and Parkinson's disease (PDMCI) as compared to healthy subjects. Clinical and rsEEG data of 75 ADMCI, 75 PDMCI, and 75 cognitively normal elderly (Nold) subjects were available in an international archive. Age, gender, and education were carefully matched in the three groups. The Mini-Mental State Evaluation (MMSE) was matched between the ADMCI and PDMCI groups. Individual alpha frequency peak (IAF) was used to determine the delta, theta, alpha1, alpha2, and alpha3 frequency band ranges. Fixed beta1, beta2, and gamma bands were also considered. eLORETA estimated the rsEEG cortical sources. Receiver operating characteristic curve (ROC) classified these sources across individuals. Results showed that compared to the Nold group, the posterior alpha2 and alpha3 source activities were more abnormal in the ADMCI than the PDMCI group, while the parietal delta source activities were more abnormal in the PDMCI than the ADMCI group. The parietal delta and alpha sources correlated with MMSE score and correctly classified the Nold and diseased individuals (area under the ROC = 0.77-0.79). In conclusion, the PDMCI and ADMCI patients showed different features of cortical neural synchronization at delta and alpha frequencies underpinning brain arousal and vigilance in the quiet wakefulness. Future prospective cross-validation studies will have to test these rsEEG markers for clinical applications and drug discovery.

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Donepezil effects on sources of cortical rhythms in mild Alzheimer's disease: Responders vs. Non-Responders

Cited by 102 publications

References 90 publications

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

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