4,245 results match your criteria EEG in Dementia and Encephalopathy


Routine or selective carotid artery shunting for carotid endarterectomy (and different methods of monitoring in selective shunting).

Cochrane Database Syst Rev 2022 06 22;6:CD000190. Epub 2022 Jun 22.

Environmental - Occupational Health Sciences and Non Communicable Diseases Research Group, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

Background: Temporary interruption of cerebral blood flow during carotid endarterectomy can be avoided by using a shunt across the clamped section of the carotid artery. The shunt may improve the outcome. This is an update of a Cochrane review originally published in 1996 and previously updated in 2002, 2009, and 2014. Read More

View Article and Full-Text PDF

Alpha-2-adrenergic receptor agonists for the prevention of delirium and cognitive decline after open heart surgery (ALPHA2PREVENT): protocol for a multicentre randomised controlled trial.

BMJ Open 2022 Jun 20;12(6):e057460. Epub 2022 Jun 20.

Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway.

Introduction: Postoperative delirium is common in older cardiac surgery patients and associated with negative short-term and long-term outcomes. The alpha-2-adrenergic receptor agonist dexmedetomidine shows promise as prophylaxis and treatment for delirium in intensive care units (ICU) and postoperative settings. Clonidine has similar pharmacological properties and can be administered both parenterally and orally. Read More

View Article and Full-Text PDF

Functional changes in brain oscillations in dementia: a review.

Rev Neurosci 2022 Jun 21. Epub 2022 Jun 21.

IRCCS San Camillo Hospital, via Alberoni 70, 30126 Venice, Italy.

A growing body of evidence indicates that several characteristics of electroencephalography (EEG) and magnetoencephalography (MEG) play a functional role in cognition and could be linked to the progression of cognitive decline in some neurological diseases such as dementia. The present paper reviews previous studies investigating changes in brain oscillations associated to the most common types of dementia, namely Alzheimer's disease (AD), frontotemporal degeneration (FTD), and vascular dementia (VaD), with the aim of identifying pathology-specific patterns of alterations and supporting differential diagnosis in clinical practice. The included studies analysed changes in frequency power, functional connectivity, and event-related potentials, as well as the relationship between electrophysiological changes and cognitive deficits. Read More

View Article and Full-Text PDF

Rapidly progressive dementia with generalized myoclonus in an adult: Do not forget subacute sclerosing panencephalitis.

Neurologia (Engl Ed) 2022 06;37(5):415-418

Department of Neurology, University Hospital "12 de Octubre", Madrid, Spain; Department of Neurology, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain; Department of Medicine, Complutense University, Madrid, Spain. Electronic address:

View Article and Full-Text PDF

Understanding brain function in vascular cognitive impairment and dementia with EEG and MEG: A systematic review.

Neuroimage Clin 2022 May 10;35:103040. Epub 2022 May 10.

Center of Cognitive and Computational Neuroscience; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense de Madrid, Madrid, Spain.

Vascular Cognitive Impairment (VCI) is the second most prevalent dementia after Alzheimer's Disease (AD), and cerebrovascular disease (CBVD) is a major comorbid contributor to the progression of most neurodegenerative diseases. Early differentiation of cognitive impairment is critical given both the high prevalence of CBVD, and that its risk factors are modifiable. The ability for electroencephalogram (EEG) and magnetoencephalogram (MEG) to detect changes in brain functioning for other dementias suggests that they may also be promising biomarkers for early VCI. Read More

View Article and Full-Text PDF

Timely coupling of sleep spindles and slow waves linked to early amyloid-β burden and predicts memory decline.

Elife 2022 05 31;11. Epub 2022 May 31.

GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium.

Sleep alteration is a hallmark of ageing and emerges as a risk factor for Alzheimer's disease (AD). While the fine-tuned coalescence of sleep microstructure elements may influence age-related cognitive trajectories, its association with AD processes is not fully established. Here, we investigated whether the coupling of spindles and slow waves (SW) is associated with early amyloid-β (Aβ) brain burden, a hallmark of AD neuropathology, and cognitive change over 2 years in 100 healthy individuals in late-midlife (50-70 years; 68 women). Read More

View Article and Full-Text PDF

Scalp Stimulation Targets for Neurological Conditions-Evidence from Large-Scale Meta-Analyses.

J Integr Neurosci 2022 Apr;21(3):83

Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.

Background: Neurological disorders are a major source of suffering for patients worldwide. Scalp stimulation methods have been widely applied in treating a number of neurological disorders. Recently, our understanding of pathological mechanisms associated with neurological disorders has been enhanced significantly. Read More

View Article and Full-Text PDF

EEG-Based Alzheimer's Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network.

Sensors (Basel) 2022 May 12;22(10). Epub 2022 May 12.

Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 12, I-60131 Ancona, Italy.

The use of electroencephalography (EEG) has recently grown as a means to diagnose neurodegenerative pathologies such as Alzheimer's disease (AD). AD recognition can benefit from machine learning methods that, compared with traditional manual diagnosis methods, have higher reliability and improved recognition accuracy, being able to manage large amounts of data. Nevertheless, machine learning methods may exhibit lower accuracies when faced with incomplete, corrupted, or otherwise missing data, so it is important do develop robust pre-processing techniques do deal with incomplete data. Read More

View Article and Full-Text PDF

EEG asymmetry and cognitive testing in MCI identification.

Int J Psychophysiol 2022 Jul 23;177:213-219. Epub 2022 May 23.

Institute of Gerontology, Wayne State University, USA; International Institute of Applied Gerontology, Ljubljana, Slovenia. Electronic address:

Background: Finding the baseline resting-state EEG markers for early identification of cognitive decline can contribute to the identification of individuals at risk of further change. Potential applications include identifying participants for clinical trials, early treatment, and evaluation of treatment, accessible even from a community setting.

Methods: Analyses were completed on a sample of 99 (ages 60-90) consensus-diagnosed, community-dwelling African Americans (58 cognitively typical/HC, and 41 mildly cognitively impaired/MCI), who were recruited from the Michigan Alzheimer's Disease Research Center (MADRC) and the Wayne State University Institute of Gerontology. Read More

View Article and Full-Text PDF

Epilepsy in neurodegenerative diseases.

Epileptic Disord 2022 Apr;24(2):249-273

Danish Epilepsy Centre, Dianalund, Denmark.

Although epilepsy as a comorbidity in neurodegenerative disorders is increasingly recognized, its incidence is still underestimated and the features of epilepsy in the different neurodegenerative conditions are still poorly defined. Improved health care, resulting in increased longevity, will unavoidably lead to an increment of epilepsy cases in the elderly. Thus, it is conceivable to expect that neurologists will have to deal with these comorbid conditions to a growing extent in the future. Read More

View Article and Full-Text PDF

Seizures and COVID-19: Results from the Spanish Society of Neurology's COVID-19 registry.

J Clin Neurosci 2022 Jul 16;101:112-117. Epub 2022 May 16.

Hospital Universitario Quirónsalud Madrid, Pozuelo de Alarcón, c/ Diego de Velázquez, 1, 28223 Pozuelo de Alarcón, Madrid, Spain.

We describea series of patients with COVID-19 who presented with seizures, reported in the Spanish Society of Neurology's COVID-19 Registry. This observational, descriptive,multicentre, registry-based study includes patients with confirmed COVID-19 who experienced seizures during active infection.Wedescribe theclinicalpresentation of COVID-19,seizures,and resultsof complementary tests. Read More

View Article and Full-Text PDF

Treatment effects on event-related EEG potentials and oscillations in Alzheimer's disease.

Int J Psychophysiol 2022 Jul 16;177:179-201. Epub 2022 May 16.

Sapienza University of Rome, Department of Physiology and Pharmacology "V. Erspamer", Rome, Italy; San Raffaele of Cassino, Cassino, Italy.

Alzheimer's disease dementia (ADD) is the most diffuse neurodegenerative disorder belonging to mild cognitive impairment (MCI) and dementia in old persons. This disease is provoked by an abnormal accumulation of amyloid-beta and tauopathy proteins in the brain. Very recently, the first disease-modifying drug has been licensed with reserve (i. Read More

View Article and Full-Text PDF

Neurophysiological effects of human-derived pathological tau conformers in the APPKM670/671NL.PS1/L166P amyloid mouse model of Alzheimer's disease.

Sci Rep 2022 May 11;12(1):7784. Epub 2022 May 11.

Department of Neuroscience, Janssen Research and Development, Janssen Pharmaceutica NV, Turnhoutseweg 30, 2340, Beerse, Belgium.

Alzheimer's Disease (AD) is a neurodegenerative disease characterized by two main pathological hallmarks: amyloid plaques and intracellular tau neurofibrillary tangles. However, a majority of studies focus on the individual pathologies and seldom on the interaction between the two pathologies. Herein, we present the longitudinal neuropathological and neurophysiological effects of a combined amyloid-tau model by hippocampal seeding of human-derived tau pathology in the APP. Read More

View Article and Full-Text PDF

A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG.

Comput Methods Programs Biomed 2022 Jun 27;220:106841. Epub 2022 Apr 27.

Cognitive Neurology Group, Neurology Unit, Hospital Universitario Virgen de las Nieves, Granada, Spain.

Early detection is critical to control Alzheimer's disease (AD) progression and postpone cognitive decline. Traditional medical procedures such as magnetic resonance imaging are costly, involve long waiting lists, and require complex analysis. Alternatively, for the past years, researchers have successfully evaluated AD detection approaches based on machine learning and electroencephalography (EEG). Read More

View Article and Full-Text PDF

Reactivity of posterior cortical electroencephalographic alpha rhythms during eyes opening in cognitively intact older adults and patients with dementia due to Alzheimer's and Lewy body diseases.

Neurobiol Aging 2022 07 9;115:88-108. Epub 2022 Apr 9.

Faculty of Medical Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle, UK.

Please modify the Abstract as follows:Here we tested if the reactivity of posterior resting-state electroencephalographic (rsEEG) alpha rhythms from the eye-closed to the eyes-open condition may differ in patients with dementia due to Lewy Bodies (DLB) and Alzheimer's disease (ADD) as a functional probe of the dominant neural synchronization mechanisms regulating the vigilance in posterior visual systems.We used clinical, demographical, and rsEEG datasets in 28 older adults (Healthy), 42 DLB, and 48 ADD participants. The eLORETA freeware was used to estimate cortical rsEEG sources. Read More

View Article and Full-Text PDF

Allostatic-Interoceptive Overload in Frontotemporal Dementia.

Biol Psychiatry 2022 Jul 24;92(1):54-67. Epub 2022 Feb 24.

Latin American Brain Health Institute, Universidad Adolfo Ibáñez, Santiago, Chile; National Scientific and Technical Research Council, Buenos Aires, Argentina; Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina; Global Brain Health Institute, University of California San Francisco, San Francisco, California, and Trinity College Dublin, Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland. Electronic address:

Background: The predictive coding theory of allostatic-interoceptive load states that brain networks mediating autonomic regulation and interoceptive-exteroceptive balance regulate the internal milieu to anticipate future needs and environmental demands. These functions seem to be distinctly compromised in behavioral variant frontotemporal dementia (bvFTD), including alterations of the allostatic-interoceptive network (AIN). Here, we hypothesize that bvFTD is typified by an allostatic-interoceptive overload. Read More

View Article and Full-Text PDF

Cognitive training and neuromodulation for Alzheimer treatment.

Authors:
Fabrizio Vecchio

Aging (Albany NY) 2022 04 27;14(9):3722-3723. Epub 2022 Apr 27.

Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Rome, Italy.

View Article and Full-Text PDF

[A case of Creutzfeldt-Jakob disease presenting with nonconvulsive status epilepticus in the early stages].

Rinsho Shinkeigaku 2022 May 26;62(5):357-362. Epub 2022 Apr 26.

Department of Neurology, National Hospital Organization Kyoto Medical Center.

A 64-year-old Japanese woman presented with 1 week of recurrent convulsive seizures. At the time of admission, she was in a coma and did not present with convulsions. Intravenous diazepam administration improved her consciousness, although severe psychomotor excitement developed. Read More

View Article and Full-Text PDF

Specific electroencephalogram features in the very early phases of sporadic Creutzfeldt-Jakob disease.

J Neurol Sci 2022 Jun 18;437:120265. Epub 2022 Apr 18.

Department of Neurology and Neurological Science, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan; Department of Neurology, Kudanzaka Hospital, 1-6-12 Kudanminami, Chiyoda-ku, Tokyo 102-0074, Japan. Electronic address:

Studies on the very early electroencephalography (EEG) features prior to the emergence of generalized periodic discharges (GPDs, generally known as periodic sharp-wave complexes) in Creutzfeldt-Jakob disease (CJD) are rare. Fourteen patients with sporadic CJD (sCJD) (eight with MM1/classic and six with MM2c) were included in this study. The predominant findings of the first EEG were categorized as 1) lateralized periodic discharges (LPDs), 2) central sagittal sporadic epileptiform discharges (CSSEDs) showing midline predominant generalized spike-and-wave complexes and/or sharp waves in the central sagittal regions, or 3) focal epileptiform discharges. Read More

View Article and Full-Text PDF

Association Between EEG Patterns and Serum Neurofilament Light After Cardiac Arrest: A Post Hoc Analysis of the TTM Trial.

Neurology 2022 Jun 25;98(24):e2487-e2498. Epub 2022 Apr 25.

From Neurology (L.G., T.C., N.M.-C., M.M.-K.), Clinical Neurophysiology (S.B., E.W.), Cardiology (J.D.), and Anaesthesia and Intensive Care (H.F.), Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Malmö; Department of Psychiatry and Neurochemistry (K.B., H.Z.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg; Clinical Neurochemistry Laboratory (K.B., H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Cardiology (C.H.), Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Denmark; Departments of Intensive Care (J.H.) and Neurology/Clinical Neurophysiology (A.-F-V.R.), Amsterdam Neuroscience, Amsterdam UMC, Academic Medical Center, University of Amsterdam, the Netherlands; Departments of Clinical Neurophysiology (T.W.K.) and Cardiology (J.K.), Rigshospitalet University Hospital, Copenhagen, Denmark; Department of Intensive Care (M.K.), Medical Center Leeuwarden, the Netherlands; Clinical Memory Research Unit, Faculty of Medicine (N.M.-C.), and Wallenberg Centre for Molecular Medicine (N.M.-C.), Lund University; Anaesthesia and Intensive Care, Department of Clinical Sciences Lund (N.N.), Lund University, Helsingborg Hospital, Sweden; Department of Neurology (A.O.R.), CHUV and University of Lausanne, Switzerland; Department of Anesthesia and Intensive Care (P.S.), Centre Hospitalier de Luxembourg; Department of Life Sciences and Medicine (P.S.), Faculty of Science, Technology and Medicine, University of Luxembourg; Clinical Studies Sweden (S.U.), Skåne University Hospital, Lund; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, UK; and Hong Kong Center for Neurodegenerative Diseases (H.Z.), China.

Background And Objectives: EEG is widely used for prediction of neurologic outcome after cardiac arrest. To better understand the relationship between EEG and neuronal injury, we explored the association between EEG and neurofilament light (NfL) as a marker of neuroaxonal injury, evaluated whether highly malignant EEG patterns are reflected by high NfL levels, and explored the association of EEG backgrounds and EEG discharges with NfL.

Methods: We performed a post hoc analysis of the Target Temperature Management After Out-of-Hospital Cardiac Arrest trial. Read More

View Article and Full-Text PDF

Frontotemporal EEG as potential biomarker for early MCI: a case-control study.

BMC Psychiatry 2022 04 22;22(1):289. Epub 2022 Apr 22.

Department of Anesthesia, School of Medicine, Stanford University, Stanford, CA, USA.

Background: Previous studies using EEG (electroencephalography) as biomarker for dementia have attempted to research, but results have been inconsistent. Most of the studies have extremely small number of samples (average N = 15) and studies with large number of data do not have control group. We identified EEG features that may be biomarkers for dementia with 120 subjects (dementia 10, MCI 33, against control 77). Read More

View Article and Full-Text PDF

An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer's disease.

J Neural Eng 2022 05 11;19(3). Epub 2022 May 11.

School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, People's Republic of China.

Electroencephalography (EEG) is a potential source of downstream biomarkers for the early diagnosis of Alzheimer's disease (AD) due to its low-cost, noninvasive, and portable advantages. Accurately detecting AD-induced patterns from EEG signals is essential for understanding AD-related neurodegeneration at the EEG level and further evaluating the risk of AD at an early stage. This paper proposes a deep learning-based, functional explanatory framework that probes AD abnormalities from short-sequence EEG data. Read More

View Article and Full-Text PDF

An autopsy case of MV2K-type sporadic Creutzfeldt-Jakob disease presenting with characteristic clinical, radiological, and neuropathological findings.

Neuropathology 2022 Jun 19;42(3):245-253. Epub 2022 Apr 19.

Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan.

In Japan, because MV2-type sporadic Creutzfeldt-Jakob disease (CJD) is rare, little is known about its clinical and neuropathological characteristics. An autopsy case of MV2K-type sporadic CJD is presented, and the characteristic clinical, radiological, and neuropathological findings are discussed. The patient was a Japanese woman who died at the age of 72 years. Read More

View Article and Full-Text PDF

Dynamics of the "Cognitive" Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment.

Int J Neural Syst 2022 May 18;32(5):2250022. Epub 2022 Apr 18.

Brain Connectivity Laboratory, Department of Neurosciences & Neurorehabilitation, IRCCS San Raffaele-Roma, Rome, Italy.

Alzheimer's disease (AD) is the most common cause of dementia that involves a progressive and irrevocable decline in cognitive abilities and social behavior, thus annihilating the patient's autonomy. The theoretical assumption that disease-modifying drugs are most effective in the early stages hopefully in the prodromal stage called mild cognitive impairment (MCI) urgently pushes toward the identification of robust and individualized markers of cognitive decline to establish an early pharmacological intervention. This requires the combination of well-established neural mechanisms and the development of increasingly sensitive methodologies. Read More

View Article and Full-Text PDF

Differentiating amnestic from non-amnestic mild cognitive impairment subtypes using graph theoretical measures of electroencephalography.

Sci Rep 2022 04 13;12(1):6219. Epub 2022 Apr 13.

Department of Neurology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.

The purpose of this study was to explore different patterns of functional networks between amnestic mild cognitive impairment (aMCI) and non-aMCI (naMCI) using electroencephalography (EEG) graph theoretical analysis. The data of 197 drug-naïve individuals who complained cognitive impairment were reviewed. Resting-state EEG data was acquired. Read More

View Article and Full-Text PDF

Automatic Classification of Subjects of the PSEN1-E280A Family at Risk of Developing Alzheimer's Disease Using Machine Learning and Resting State Electroencephalography.

J Alzheimers Dis 2022 ;87(2):817-832

Neuroscience Group of Antioquia (GNA), Medical School, Universidad de Antioquia, Medellín, Colombia.

Background: The study of genetic variant carriers provides an opportunity to identify neurophysiological changes in preclinical stages. Electroencephalography (EEG) is a low-cost and minimally invasive technique which, together with machine learning, provide the possibility to construct systems that classify subjects that might develop Alzheimer's disease (AD).

Objective: The aim of this paper is to evaluate the capacity of the machine learning techniques to classify healthy Non-Carriers (NonCr) from Asymptomatic Carriers (ACr) of PSEN1-E280A variant for autosomal dominant Alzheimer's disease (ADAD), using spectral features from EEG channels and brain-related independent components (ICs) obtained using independent component analysis (ICA). Read More

View Article and Full-Text PDF
January 2022

Laboratory Diagnosis of Creutzfeldt-Jakob Disease.

Authors:
Inga Zerr

N Engl J Med 2022 04;386(14):1345-1350

From the National Reference Center for Human Prion Diseases, Clinical Dementia Center, Department of Neurology, University Medical Center, Georg August University, Göttingen, Germany.

View Article and Full-Text PDF

Exploring Network Properties Across Preclinical Stages of Alzheimer's Disease Using a Visual Short-Term Memory and Attention Task with High-Density Electroencephalography: A Brain-Connectome Neurophysiological Study.

J Alzheimers Dis 2022 ;87(2):643-664

Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece.

Background: Visual short-term memory (VSTMT) and visual attention (VAT) exhibit decline in the Alzheimer's disease (AD) continuum; however, network disruption in preclinical stages is scarcely explored.

Objective: To advance our knowledge about brain networks in AD and discover connectivity alterations during VSTMT and VAT.

Methods: Twelve participants with AD, 23 with mild cognitive impairment (MCI), 17 with subjective cognitive decline (SCD), and 21 healthy controls (HC) were examined using a neuropsychological battery at baseline and follow-up (three years). Read More

View Article and Full-Text PDF
January 2022

Sleep in Alzheimer's disease: a systematic review and meta-analysis of polysomnographic findings.

Transl Psychiatry 2022 04 1;12(1):136. Epub 2022 Apr 1.

Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Polysomnography (PSG) studies of sleep changes in Alzheimer's disease (AD) have reported but not fully established the relationship between sleep disturbances and AD. To better detail this relationship, we conducted a systematic review and meta-analysis of reported PSG differences between AD patients and healthy controls. An electronic literature search was conducted in EMBASE, MEDLINE, All EBM databases, CINAHL, and PsycINFO inception to Mar 2021. Read More

View Article and Full-Text PDF

Clinical and Instrumental Characterization of Patients With Late-Onset Epilepsy.

Front Neurol 2022 25;13:851897. Epub 2022 Feb 25.

Section of Neurology, S. Maria della Misericordia Hospital, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.

Epilepsy is classically considered a childhood disease. However, it represents the third most frequent neurological condition in the elderly, following stroke, and dementia. With the progressive aging of the general population, the number of patients with Late-Onset Epilepsy (LOE) is constantly growing, with important economic and social consequences, in particular for the more developed countries where the percentage of elderly people is higher. Read More

View Article and Full-Text PDF
February 2022