1,229 results match your criteria Ambulatory EEG


Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea.

Sleep 2020 May 21. Epub 2020 May 21.

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

Study Objectives: Accurate identification of sleep stages is essential in the diagnosis of sleep disorders (e.g. obstructive sleep apnea, OSA) but relies on labor-intensive EEG-based manual scoring. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/sleep/zsaa098DOI Listing

The Dreem Headband compared to Polysomnography for EEG Signal Acquisition and Sleep Staging.

Sleep 2020 May 20. Epub 2020 May 20.

French Armed Forces Biomedical Research Institute (IRBA), Fatigue and Vigilance Unit, Bretigny sur Orge, France; EA 7330 VIFASOM, Paris Descartes University, Paris, France.

Objectives: The development of ambulatory technologies capable of monitoring brain activity during sleep longitudinally is critical for advancing sleep science. The aim of this study was to assess the signal acquisition and the performance of the automatic sleep staging algorithms of a reduced-montage dry-EEG device (Dreem headband, DH) compared to the gold-standard polysomnography (PSG) scored by 5 sleep experts.

Methods: Twenty-five subjects who completed an overnight sleep study at a sleep center while wearing both a PSG and the DH simultaneously have been included in the analysis. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/sleep/zsaa097DOI Listing

Diagnostic Accuracy of the Ambulatory EEG vs. Routine EEG for First Single Unprovoked Seizures and Seizure Recurrence: The DX-Seizure Study.

Front Neurol 2020 9;11:223. Epub 2020 Apr 9.

Division of Neurology, Department of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.

The DX-Seizure study aims to evaluate the diagnostic accuracy (sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratio) of the ambulatory EEG in comparison with the first routine EEG, and a second routine EEG right before the ambulatory EEG, on adult patients with first single unprovoked seizure (FSUS) and define the utility of ambulatory EEG in forecasting seizure recurrence in these patients after 1-year follow-up. The DX-Seizure study is a prospective cohort of 113 adult patients (≥18-year-old) presenting with FSUS to the Single Seizure Clinic for evaluation. These patients will be assessed by a neurologist/epileptologist with the first routine EEG (referral EEG) and undergo a second routine EEG and ambulatory EEG. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3389/fneur.2020.00223DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160330PMC

Slow wave activity (SWA) and sigma activities are associated with psychomotor development at eight months of age.

Sleep 2020 Mar 30. Epub 2020 Mar 30.

Department of Clinical Neurophysiology, Tampere University Hospital, Medical Imaging Centre and Hospital Pharmacy, Pirkanmaa Hospital District, Tampere, Finland.

Study Objectives: The electrophysiological properties of non-rapid eye movement sleep (NREM) EEG are homeostatically modulated on global and local use-dependent levels. Furthermore, the local NREM quality reflects age-dependent brain maturation and individual, age-independent, psychomotor potential. Cortical maturation and its electrophysiological marker, slow wave activity (SWA), as well as sleep spindles are known to change in topography and quality during the early years of life, but their associations with psychomotor development in infants are unknown. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/sleep/zsaa061DOI Listing

"Sleep Surge": The impact of sleep onset and offset on epileptiform discharges in idiopathic generalized epilepsies.

Clin Neurophysiol 2020 May 21;131(5):1044-1050. Epub 2020 Feb 21.

Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, Australia; Department of Clinical Studies, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, USA.

Objective: To investigate the impact of sleep onset and offset on the rate of epileptiform discharges (ED) in idiopathic generalized epilepsies (IGE).

Methods: We studied the temporal distribution of EDs with mixed-effects Poisson regression modeling in a cohort of patients diagnosed with IGE who underwent 24-hour ambulatory electroencephalography (EEG) recordings. We defined the mean number discharges per hour per subject as the mean ED rate. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clinph.2020.01.021DOI Listing

Circadian and multiday seizure periodicities, and seizure clusters in canine epilepsy.

Brain Commun 2020 6;2(1):fcaa008. Epub 2020 Feb 6.

Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA.

Advances in ambulatory intracranial EEG devices have enabled objective analyses of circadian and multiday seizure periodicities, and seizure clusters in humans. This study characterizes circadian and multiday seizure periodicities, and seizure clusters in dogs with naturally occurring focal epilepsy, and considers the implications of an animal model for the study of seizure risk patterns, seizure forecasting and personalized treatment protocols. In this retrospective cohort study, 16 dogs were continuously monitored with ambulatory intracranial EEG devices designed for humans. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/braincomms/fcaa008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7052793PMC
February 2020

Mesial temporal resection following long-term ambulatory intracranial EEG monitoring with a direct brain-responsive neurostimulation system.

Epilepsia 2020 Mar 18;61(3):408-420. Epub 2020 Feb 18.

NeuroPace, Inc., Mountain View, CA, USA.

Objective: To describe seizure outcomes in patients with medically refractory epilepsy who had evidence of bilateral mesial temporal lobe (MTL) seizure onsets and underwent MTL resection based on chronic ambulatory intracranial EEG (ICEEG) data from a direct brain-responsive neurostimulator (RNS) system.

Methods: We retrospectively identified all patients at 17 epilepsy centers with MTL epilepsy who were treated with the RNS System using bilateral MTL leads, and in whom an MTL resection was subsequently performed. Presumed lateralization based on routine presurgical approaches was compared to lateralization determined by RNS System chronic ambulatory ICEEG recordings. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/epi.16442DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154711PMC

Interictal spike quantification in continuous spike-wave of sleep (CSWS): Clinical usefulness of a wearable EEG device.

Epilepsy Behav 2020 Mar 25;104(Pt A):106902. Epub 2020 Jan 25.

Pediatric Neurology (EEG Lab), Hospital Dona Estefânia, Lisbon, Portugal; Department Clinical Neurophysiology, Centro Hospitalar Psiquiátrico de Lisboa, Lisbon, Portugal. Electronic address:

Introduction: Continuous spike-wave of sleep (CSWS) syndrome is one of the most common epileptic encephalopathies of childhood. Because the associated cognitive/behavioral disturbances relate more to the amount of spike activity than of seizures, methods of spike quantification gained relevance in diagnosis and monitoring treatment. The conventional methodology for quantification of spike index (SI) relies on repeated full 10-20 long-term ambulatory electroencephalography (aEEG), which is both expensive and poorly tolerated. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.yebeh.2020.106902DOI Listing

Parasympathetic activity is reduced during slow-wave sleep, but not resting wakefulness, in patients with chronic fatigue syndrome.

J Clin Sleep Med 2020 Jan 27;16(1):19-28. Epub 2019 Nov 27.

School of Psychiatry, Faculty of Medicine, University of New South Wales Sydney, New South Wales, Australia.

Study Objectives: Physiological dearousal characterized by an increase in parasympathetic nervous system activity is important for good-quality sleep. Previous research shows that nocturnal parasympathetic activity (reflected by heart rate variability [HRV]) is diminished in individuals with chronic fatigue syndrome (CFS), suggesting hypervigilant sleep. This study investigated differences in nocturnal autonomic activity across sleep stages and explored the association of parasympathetic activity with sleep quality and self-reported physical and psychological wellbeing in individuals with CFS. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.5664/jcsm.8114DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053003PMC
January 2020

Polygenic impact of morningness on the overnight dynamics of sleep spindle amplitude.

Genes Brain Behav 2020 Apr 17;19(4):e12641. Epub 2020 Jan 17.

SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Sleep spindles are thalamocortical oscillations that contribute to sleep maintenance and sleep-related brain plasticity. The current study is an explorative study of the circadian dynamics of sleep spindles in relation to a polygenic score (PGS) for circadian preference towards morningness. The participants represent the 17-year follow-up of a birth cohort having both genome-wide data and an ambulatory sleep electroencephalography measurement available ( N = 154, Mean age = 16. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/gbb.12641DOI Listing

A multi-disciplinary clinic for SCN8A-related epilepsy.

Epilepsy Res 2020 Jan 23;159:106261. Epub 2019 Dec 23.

Children's National Medical Center, Department of Neurology, 111 Michigan Ave NW, Washington, DC, 20010, USA. Electronic address:

Objective: We endeavored to evaluate a cohort of patients diagnosed with SCN8A-related epilepsy in a multi-disciplinary clinic and to create a bio-repository.

Methods: We recruited patients with epilepsy due to SCN8A variants at Children's National Medical Center, through family organizations, or SCN8A.net. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.eplepsyres.2019.106261DOI Listing
January 2020

A Case of Cognitive Decline Resulting from Aging, Temporal Lobe Epilepsy, and Environmental Factors.

Authors:
Nikhila Veluri

Case Rep Psychiatry 2019 10;2019:9385031. Epub 2019 Dec 10.

American University of Integrative Sciences, Department of Neuropsychiatry, Detwiller Pavilion at University of British Columbia, Vancouver, British Columbia, Canada.

Cognitive functioning is imperative in our daily lives. It allows us to understand, process, and react appropriately to different situations. Aging has been linked to cognitive decline. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1155/2019/9385031DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925934PMC
December 2019

LGI-1 antibody encephalitis in a seven-year-old girl.

Epileptic Disord 2019 Dec;21(6):591-597

Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.

LGI-1 antibody encephalitis is a rare autoimmune limbic encephalitis which has been reported predominantly in adults. Seizures in LGI-1 antibody encephalitis exhibit significant semiological variability. Faciobrachial dystonic seizures are characteristically seen in this condition and have so far been described only in adults. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1684/epd.2019.1117DOI Listing
December 2019

Accurate Deep Learning-Based Sleep Staging in a Clinical Population with Suspected Obstructive Sleep Apnea.

IEEE J Biomed Health Inform 2019 Dec 19. Epub 2019 Dec 19.

The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, subjective, and costly. To overcome this shortcoming, we aimed to develop an accurate deep learning approach for automatic classification of sleep stages and to study the effect of OSA severity on the classification accuracy. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/JBHI.2019.2951346DOI Listing
December 2019

Early detection rate changes from a brain-responsive neurostimulation system predict efficacy of newly added antiseizure drugs.

Epilepsia 2020 Jan 17;61(1):138-148. Epub 2019 Dec 17.

Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut.

Objective: Brain-responsive neurostimulation (RNS System, NeuroPace) is used to treat medically refractory focal epilepsy and also provides long-term ambulatory neurophysiologic data. We sought to determine whether these data could predict the clinical response to antiseizure drugs (ASDs).

Methods: First, newly added medications were identified in RNS System patients followed at a single epilepsy center. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/epi.16412DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7003822PMC
January 2020

A high-performance 8 nV/√Hz 8-channel wearable and wireless system for real-time monitoring of bioelectrical signals.

J Neuroeng Rehabil 2019 12 10;16(1):156. Epub 2019 Dec 10.

Department of Bioengineering, Imperial College London, Prince Consort Road, London, SW7 2AZ, UK.

Background: It is widely accepted by the scientific community that bioelectrical signals, which can be used for the identification of neurophysiological biomarkers indicative of a diseased or pathological state, could direct patient treatment towards more effective therapeutic strategies. However, the design and realisation of an instrument that can precisely record weak bioelectrical signals in the presence of strong interference stemming from a noisy clinical environment is one of the most difficult challenges associated with the strategy of monitoring bioelectrical signals for diagnostic purposes. Moreover, since patients often have to cope with the problem of limited mobility being connected to bulky and mains-powered instruments, there is a growing demand for small-sized, high-performance and ambulatory biopotential acquisition systems in the Intensive Care Unit (ICU) and in High-dependency wards. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1186/s12984-019-0629-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905040PMC
December 2019

Multimodal assessment of sleep in men and women during treatment for opioid use disorder.

Drug Alcohol Depend 2020 Feb 18;207:107698. Epub 2019 Nov 18.

Intramural Research Program, National Institute on Drug Abuse, 251 Bayview Blvd., Suite 200, Baltimore, MD, 21224, United States. Electronic address:

Background: Sleep disturbance is common in patients with opioid use disorder (OUD) receiving medication for addiction treatment. Differences between patients on the two primary agonist medications-methadone and buprenorphine-are not well understood.

Methods: In patients receiving either methadone or buprenorphine treatment for OUD, we examined sleep continuity and architecture using ambulatory monitoring to gather both an objective measure (daily sleep EEG; M = 5. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.drugalcdep.2019.107698DOI Listing
February 2020

Hemispherectomy in adults and adolescents: Seizure and functional outcomes in 47 patients.

Epilepsia 2019 12 2;60(12):2416-2427. Epub 2019 Nov 2.

Epilepsy Center, Cleveland Clinic, Cleveland, Ohio.

Objective: To examine longitudinal seizure and functional outcomes after hemispherectomy in adults and adolescents.

Methods: We reviewed 47 consecutive patients older than 16 years who underwent hemispherectomy between 1996 and 2016 at our center. Clinical, electroencephalographic (EEG), imaging, neuropsychological, surgical, and functional status data were analyzed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/epi.16378DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6911022PMC
December 2019
1 Read

Computer-assisted EEG diagnostic review for idiopathic generalized epilepsy.

Epilepsy Behav 2019 Oct 29:106556. Epub 2019 Oct 29.

Department of Medicine, St. Vincent's Hospital, The University of Melbourne, VIC 3010, Australia.

Epilepsy diagnosis can be costly, time-consuming, and not uncommonly inaccurate. The reference standard diagnostic monitoring is continuous video-electroencephalography (EEG) monitoring, ideally capturing all events or concordant interictal discharges. Automating EEG data review would save time and resources, thus enabling more people to receive reference standard monitoring and also potentially heralding a more quantitative approach to therapeutic outcomes. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.yebeh.2019.106556DOI Listing
October 2019
5 Reads

[Mobile seizure monitoring in epilepsy patients].

Nervenarzt 2019 Dec;90(12):1221-1231

Epilepsiezentrum, Universitätsklinikum Freiburg, Breisacher Str. 64, 79106, Freiburg, Deutschland.

Wearables are receiving much attention from both epilepsy patients and treating physicians, for monitoring of seizure frequency and warning of seizures. They are also of interest for the detection of seizure-associated risks of patients, for differential diagnosis of rare seizure types and prediction of seizure-prone periods. Accelerometry, electromyography (EMG), heart rate and further autonomic parameters are recorded to capture clinical seizure manifestations. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00115-019-00822-xDOI Listing
December 2019
1 Read

EEG Electrode-induced Skin Injury among Adult Patients Undergoing Ambulatory EEG Monitoring.

Neurodiagn J 2019 22;59(4):219-231. Epub 2019 Oct 22.

Comprehensive Epilepsy Service Royal Prince Alfred Hospital & The University of Sydney, Camperdown, Sydney, Australia.

: Ambulatory electroencephalography technology has improved in the last 40 years. Many clinicians believe that some skin injury is an unavoidable complication of prolonged EEG monitoring. In this study, we examined potential risk factors associated with electrode-induced skin injury in adult patients with AEEG monitoring. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1080/21646821.2019.1660548DOI Listing

A Resource-Optimized VLSI Implementation of a Patient-Specific Seizure Detection Algorithm on a Custom-Made 2.2 cm Wireless Device for Ambulatory Epilepsy Diagnostics.

IEEE Trans Biomed Circuits Syst 2019 12 18;13(6):1175-1185. Epub 2019 Oct 18.

A patient-specific epilepsy diagnostic solution in the form of a wireless wearable ambulatory device is presented. First, the design, VLSI implementation, and experimental validation of a resource-optimized machine learning algorithm for epilepsy seizure detection are described. Next, the development of a mini-PCB that integrates a low-power wireless data transceiver and a programmable processor for hosting the seizure detection algorithm is discussed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/TBCAS.2019.2948301DOI Listing
December 2019
1 Read

Ultra-long-term subcutaneous home monitoring of epilepsy-490 days of EEG from nine patients.

Epilepsia 2019 11 13;60(11):2204-2214. Epub 2019 Oct 13.

Department of Neurology, Zealand University Hospital, Roskilde, Denmark.

Objective: To explore the feasibility of home monitoring of epilepsy patients with a novel subcutaneous electroencephalography (EEG) device, including clinical implications, safety, and compliance via the first real-life test.

Methods: We implanted a beta-version of the 24/7 EEG SubQ (UNEEG Medical A/S, Denmark) subcutaneously in nine participants with temporal lobe epilepsy. Data on seizures, adverse events, compliance in using the device, and use of antiepileptic drugs (AEDs) were collected. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/epi.16360DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899579PMC
November 2019
1 Read

Correlation-based ECG Artifact Correction from Single Channel EEG using Modified Variational Mode Decomposition.

Comput Methods Programs Biomed 2020 Jan 28;183:105092. Epub 2019 Sep 28.

Dept. of Electronics & Telecommunication Engineering, International Institute of Information Technology, Bhubaneswar, India. Electronic address:

Background And Objective: Ambulatory based healthcare system use limited electrodes for electroencephalogram (EEG) acquisition at concerned electrode position, to minimize the instrumentation and computational complexity. But, again the possibility of contamination is inevitable depending on the electrode position on the scalp. This paper proposes an electrocardiogram (ECG) artifact correction algorithm in the absence of coherent ECG for automatic analysis/diagnosis of the acquired contaminated single channel EEG signal. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cmpb.2019.105092DOI Listing
January 2020
1 Read

An exoskeleton controlled by an epidural wireless brain-machine interface in a tetraplegic patient: a proof-of-concept demonstration.

Lancet Neurol 2019 12 3;18(12):1112-1122. Epub 2019 Oct 3.

CEA, LETI, Clinatec, University of Grenoble, Grenoble, France; CHU Grenoble Alpes, Grenoble, France.

Background: Approximately 20% of traumatic cervical spinal cord injuries result in tetraplegia. Neuroprosthetics are being developed to manage this condition and thus improve the lives of patients. We aimed to test the feasibility of a semi-invasive technique that uses brain signals to drive an exoskeleton. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/S1474-4422(19)30321-7DOI Listing
December 2019
2 Reads

Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device.

Sleep 2019 12;42(12)

Department of Neurology, University of Michigan, Ann Arbor, MI.

Wearable, multisensor, consumer devices that estimate sleep are now commonplace, but the algorithms used by these devices to score sleep are not open source, and the raw sensor data is rarely accessible for external use. As a result, these devices are limited in their usefulness for clinical and research applications, despite holding much promise. We used a mobile application of our own creation to collect raw acceleration data and heart rate from the Apple Watch worn by participants undergoing polysomnography, as well as during the ambulatory period preceding in lab testing. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1093/sleep/zsz180DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930135PMC
December 2019
1 Read

Seizure detection based on heart rate variability using a wearable electrocardiography device.

Epilepsia 2019 10 20;60(10):2105-2113. Epub 2019 Sep 20.

Department of Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.

Objective: To assess the feasibility and accuracy of seizure detection based on heart rate variability (HRV) using a wearable electrocardiography (ECG) device. Noninvasive devices for detection of convulsive seizures (generalized tonic-clonic and focal to bilateral tonic-clonic seizures) have been validated in phase 2 and 3 studies. However, detection of nonconvulsive seizures still needs further research, since currently available methods have either low sensitivity or an extremely high false alarm rate (FAR). Read More

View Article

Download full-text PDF

Source
https://onlinelibrary.wiley.com/doi/abs/10.1111/epi.16343
Publisher Site
http://dx.doi.org/10.1111/epi.16343DOI Listing
October 2019
2 Reads

A 9.2-g Fully-Flexible Wireless Ambulatory EEG Monitoring and Diagnostics Headband With Analog Motion Artifact Detection and Compensation.

IEEE Trans Biomed Circuits Syst 2019 12 20;13(6):1141-1151. Epub 2019 Aug 20.

An 8-channel wearable wireless device for ambulatory surface EEG monitoring and analysis is presented. The entire multi-channel recording, quantization, and motion artifact removal circuitries are implemented on a 4-layer polyimide flexible substrate. The recording electrodes and active shielding are also integrated on the same substrate, yielding the smallest form factor compared to the state of the art. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/TBCAS.2019.2936327DOI Listing
December 2019

Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG.

Front Neurosci 2019 7;13:822. Epub 2019 Aug 7.

Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea.

In recent years, electroencephalography (EEG) measured around the ears, called ear-EEG, has been introduced to develop unobtrusive and ambulatory EEG-based applications. When measuring ear-EEGs, the availability of a reference site is restricted due to the miniaturized device structure, and therefore a reference electrode is generally placed near the recording electrodes. As the electrical brain activity recorded at a reference electrode closely placed to recording electrodes may significantly cancel or influence the brain activity recorded by the recording electrodes, an appropriate re-referencing method is often required to mitigate the impact of the reference brain activity. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3389/fnins.2019.00822DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6692921PMC
August 2019
2 Reads

Gating by inhibition during top-down control of willed attention.

Cogn Neurosci 2020 01 12;11(1-2):60-70. Epub 2019 Aug 12.

Center for Mind and Brain, University of California Davis, Davis, CA, USA.

In natural settings, the control of attention may be influenced both by external information as well as internal decision-making processes driven by intent (e.g. free will). Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1080/17588928.2019.1648405DOI Listing
January 2020
3 Reads

Sleep architecture changes in the APP23 mouse model manifest at onset of cognitive deficits.

Behav Brain Res 2019 11 17;373:112089. Epub 2019 Jul 17.

Laboratory of Neurochemistry and Behavior, Institute Born-Bunge, Department of Biomedical Sciences, University of Antwerp, Wilrijk (Antwerp), Belgium; Department of Neurology and Alzheimer Center, University of Groningen and University Medical Center Groningen (UMCG), Groningen, the Netherlands; Department of Neurology, Memory Clinic of Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium. Electronic address:

Alzheimer's disease (AD), which accounts for most of the dementia cases, is, aside from cognitive deterioration, often characterized by the presence of non-cognitive symptoms such as activity and sleep disturbances. AD patients typically experience increased sleep fragmentation, excessive daytime sleepiness and night-time insomnia. Here, we sought to investigate the link between sleep architecture, cognition and amyloid pathology in the APP23 amyloidosis mouse model for AD. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bbr.2019.112089DOI Listing
November 2019
4 Reads

Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning.

EBioMedicine 2019 Jul 9;45:422-431. Epub 2019 Jul 9.

Technical University of Dresden, 01069 Dresden, Germany.

Background: The inability to reliably assess seizure risk is a major burden for epilepsy patients and prevents developing better treatments. Recent advances have paved the way for increasingly accurate seizure preictal state detection algorithms, primarily using electrocorticography (ECoG). To develop seizure forecasting for broad clinical and ambulatory use, however, less complex and invasive modalities are needed. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ebiom.2019.07.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642360PMC
July 2019
3 Reads

Ambulatory EEG.

Handb Clin Neurol 2019 ;160:161-170

Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia. Electronic address:

Ambulatory electroencephalography (aEEG) is a technique of continuous EEG recording while ensuring maximum mobility of the patient in a more naturalistic setting. The initial technological drawbacks of aEEG have been circumvented by incorporating digital and computer technology. Some of the current devices provide the facility of synchronous video recording. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/B978-0-444-64032-1.00010-2DOI Listing
December 2019
10 Reads

Validation of Electroencephalographic Recordings Obtained with a Consumer-Grade, Single Dry Electrode, Low-Cost Device: A Comparative Study.

Sensors (Basel) 2019 Jun 23;19(12). Epub 2019 Jun 23.

Mind, Brain, and Behavior Research Center, University of Granada, 18071 Granada, Spain.

The functional validity of the signal obtained with low-cost electroencephalography (EEG) devices is still under debate. Here, we have conducted an in-depth comparison of the EEG-recordings obtained with a medical-grade golden-cup electrodes ambulatory device, the SOMNOwatch + EEG-6, vs those obtained with a consumer-grade, single dry electrode low-cost device, the NeuroSky MindWave, one of the most affordable devices currently available. We recorded EEG signals at Fp1 using the two different devices simultaneously on 21 participants who underwent two experimental phases: a 12-minute resting state task (alternating two cycles of closed/open eyes periods), followed by 60-minute virtual-driving task. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.3390/s19122808DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630628PMC
June 2019
4 Reads

Quantitative electrocorticographic biomarkers of clinical outcomes in mesial temporal lobe epileptic patients treated with the RNS® system.

Clin Neurophysiol 2019 08 31;130(8):1364-1374. Epub 2019 May 31.

NeuroPace, Inc., Mountain View, CA, USA; Stanford University, Stanford, CA, USA.

Objectives: Find interictal electrocorticographic (ECoG) biomarkers of clinical outcomes in mesiotemporal lobe (MTL) epilepsy patients.

Methods: In the NeuroPace® RNS® System clinical trials with 256 patients, 20 MTL patients with the most reduction in clinical seizures at Year 7 compared to baseline (upper response quartile; -96.5% median change) and 20 with the least reduction in clinical seizures (lower response quartile; -17. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clinph.2019.05.017DOI Listing
August 2019
4 Reads

The utility of an automated and ambulatory device for detecting and differentiating epileptic and psychogenic non-epileptic seizures.

Epilepsia Open 2019 Jun 13;4(2):309-317. Epub 2019 May 13.

Departments of Neurology and Medicine The Melbourne Brain Centre, The Royal Melbourne Hospital Parkville Victoria Australia.

Objective: Accurate differentiation between epileptic seizures (ES) and psychogenic non-epileptic seizures (PNES) can be challenging based on history alone. Inpatient video EEG monitoring (VEM) is often needed for a definitive diagnosis. However, VEM is highly resource intensive, is of limited availability, and cannot be undertaken over long periods. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1002/epi4.12327DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546070PMC
June 2019
6 Reads

Treatment of drug-resistant epilepsy in patients with periventricular nodular heterotopia using RNS® System: Efficacy and description of chronic electrophysiological recordings.

Clin Neurophysiol 2019 08 9;130(8):1196-1207. Epub 2019 May 9.

NeuroPace, Inc., Mountain View, CA, USA; Stanford University, Stanford, CA, USA.

Objectives: Describe changes in clinical seizure frequency and electrophysiological data recorded in patients with medically-intractable seizures and periventricular nodular heterotopias (PVNH) treated with the RNS® System (NeuroPace, Inc., Mountain View, CA).

Methods: Clinical seizures from eight patients (mean follow-up of 10. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clinph.2019.04.706DOI Listing
August 2019
3 Reads

Development of memory clinics in the Netherlands over the last 20 years.

Int J Geriatr Psychiatry 2019 08 20;34(8):1267-1274. Epub 2019 May 20.

Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, The Netherlands.

Objectives: Memory clinics (MCs) have been established to improve diagnosis and treatment of cognitive disorders, including dementia. The aim of this study was to determine the characteristics and working methods of MCs in the Netherlands in 2016. More insight into different working methods can be used to improve the quality of care in Dutch MCs. Read More

View Article

Download full-text PDF

Source
https://onlinelibrary.wiley.com/doi/abs/10.1002/gps.5132
Publisher Site
http://dx.doi.org/10.1002/gps.5132DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767517PMC
August 2019
5 Reads

Analysis of Miniaturization Effects and Channel Selection Strategies for EEG Sensor Networks With Application to Auditory Attention Detection.

IEEE Trans Biomed Eng 2020 01 17;67(1):234-244. Epub 2019 Apr 17.

Objective: Concealable, miniaturized electroencephalography (mini-EEG) recording devices are crucial enablers toward long-term ambulatory EEG monitoring. However, the resulting miniaturization limits the inter-electrode distance and the scalp area that can be covered by a single device. The concept of wireless EEG sensor networks (WESNs) attempts to overcome this limitation by placing a multitude of these mini-EEG devices at various scalp locations. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1109/TBME.2019.2911728DOI Listing
January 2020
4 Reads

Automated sleep stage classification based on tracheal body sound and actigraphy.

Ger Med Sci 2019 22;17:Doc02. Epub 2019 Feb 22.

Department of Internal Medicine II, University Hospital Ulm, Germany.

The current gold standard for assessment of most sleep disorders is the in-laboratory polysomnography (PSG). This approach produces high costs and inconveniences for the patients. An accessible and simple preliminary screening method to diagnose the most common sleep disorders and to decide whether a PSG is necessary or not is therefore desirable. Read More

View Article

Download full-text PDF

Source
http://www.egms.de/en/journals/gms/2019-17/000268.shtml
Publisher Site
http://dx.doi.org/10.3205/000268DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449867PMC
April 2020
47 Reads

Deep-learning for seizure forecasting in canines with epilepsy.

J Neural Eng 2019 06 8;16(3):036031. Epub 2019 Apr 8.

Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States of America. International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic. The Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czech Republic.

Objective: This paper introduces a fully automated, subject-specific deep-learning convolutional neural network (CNN) system for forecasting seizures using ambulatory intracranial EEG (iEEG). The system was tested on a hand-held device (Mayo Epilepsy Assist Device) in a pseudo-prospective mode using iEEG from four canines with naturally occurring epilepsy.

Approach: The system was trained and tested on 75 seizures collected over 1608 d utilizing a genetic algorithm to optimize forecasting hyper-parameters (prediction horizon (PH), median filter window length, and probability threshold) for each subject-specific seizure forecasting model. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1088/1741-2552/ab172dDOI Listing
June 2019
40 Reads

Nightmares do result in psychophysiological arousal: A multimeasure ambulatory assessment study.

Psychophysiology 2019 07 30;56(7):e13366. Epub 2019 Mar 30.

Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.

Individuals who frequently experience nightmares report compromised sleep quality, poor daytime mood, and functioning. Previous research has aimed at linking these impairments with altered sleep architecture, but results were inconclusive. One plausible explanation is that only a few studies recorded markers of autonomic nervous system activity. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1111/psyp.13366DOI Listing
July 2019
8 Reads

Editorial: Outcome of ambulatory video-EEG monitoring in a ˜10,000 patient nationwide cohort.

Authors:
William O Tatum

Seizure 2019 Mar;66:112-113

Mayo Clinic College of Medicine, Department of Neurology and Neurosurgery, Mayo Clinic, 4500 San Pablo Road, Mangurian Building, 4th Floor, Jacksonville, FL 32224 USA. Electronic address:

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.seizure.2019.02.016DOI Listing
March 2019
4 Reads

Outcome of ambulatory video-EEG monitoring in a ˜10,000 patient nationwide cohort.

Seizure 2019 Mar;66:104-111

Epilepsy Center, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States.

Purpose: We evaluate outcome of in-home diagnostic ambulatory video-EEG monitoring (AVEM) performed on a nationwide cohort of patients over one calendar year, and we compare our findings with outcomes of inpatient adult and pediatric VEM performed during the same year at two academic epilepsy centers.

Methods: This is a retrospective cohort study. We obtained AVEM outcome data from an independent ambulatory-EEG testing facility. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.seizure.2019.01.018DOI Listing
March 2019
17 Reads

Methods for the Detection of Seizure Bursts in Epilepsy.

Front Neurol 2019 27;10:156. Epub 2019 Feb 27.

Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia.

Seizure clusters and "bursts" are of clinical importance. Clusters are reported to be a marker of antiepileptic drug resistance. Additionally, seizure clustering has been found to be associated with increased morbidity and mortality. Read More

View Article

Download full-text PDF

Source
https://www.frontiersin.org/article/10.3389/fneur.2019.00156
Publisher Site
http://dx.doi.org/10.3389/fneur.2019.00156DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400839PMC
February 2019
29 Reads

Unexplored territory: Beneficial effects of novelty on memory.

Authors:
J Schomaker

Neurobiol Learn Mem 2019 05 9;161:46-50. Epub 2019 Mar 9.

Section Health, Medical and Neuropsychology, Institute of Psychology, Leiden University, Leiden, the Netherlands. Electronic address:

Exploring novel environments enhances learning in animals. Due to differing traditions, research into the effects of spatial novelty on learning in humans is scarce. Recent developments of affordable and fMRI-compatible virtual reality (VR) and mobile EEG systems can help bridge the gap between the two literatures. Read More

View Article

Download full-text PDF

Source
https://linkinghub.elsevier.com/retrieve/pii/S10747427193005
Publisher Site
http://dx.doi.org/10.1016/j.nlm.2019.03.005DOI Listing
May 2019
26 Reads

Autistic Traits Are Associated With Decreased Activity of Fast Sleep Spindles During Adolescence.

J Clin Sleep Med 2019 03 15;15(3):401-407. Epub 2019 Mar 15.

SleepWell Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Study Objectives: Autistic traits present a continuum from mild symptoms to severe disorder and have been associated with a high prevalence of sleep problems. Sleep spindles have a key function in sleep maintenance and in brain plasticity. Previous studies have found decreased spindle activity in clinical autism. Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.5664/jcsm.7662DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411178PMC
March 2019
19 Reads

Brain-responsive neurostimulation for epilepsy (RNS System).

Epilepsy Res 2019 07 20;153:68-70. Epub 2019 Feb 20.

NeuroPace, Inc., Mountain View, CA, United States; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States.

Controlled clinical trials in adults with medically intractable focal seizures treated with the RNS System demonstrate that closed-loop responsive neurostimulation to the seizure focus reduces the frequency of disabling seizures, is well tolerated, and is acceptably safe. Seizure reductions begin with initiation of treatment and continue over time, reaching median reductions of 75% after 9 years of treatment. Treatment with responsive cortical stimulation is also associated with improvement in quality of life and cognitive function related to the functional area being treated. Read More

View Article

Download full-text PDF

Source
https://linkinghub.elsevier.com/retrieve/pii/S09201211183057
Publisher Site
http://dx.doi.org/10.1016/j.eplepsyres.2019.02.003DOI Listing
July 2019
17 Reads

Multimodal wrist-worn devices for seizure detection and advancing research: Focus on the Empatica wristbands.

Epilepsy Res 2019 07 27;153:79-82. Epub 2019 Feb 27.

Empatica, Milan, Italy; Empatica, Cambridge, MA, USA; MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.

Wearable automated seizure detection devices offer a high potential to improve seizure management, through continuous ambulatory monitoring, accurate seizure counts, and real-time alerts for prompt intervention. More importantly, these devices can be a life-saving help for people with a higher risk of sudden unexpected death in epilepsy (SUDEP), especially in case of generalized tonic-clonic seizures (GTCS). The Embrace and E4 wristbands (Empatica) are the first commercially available multimodal wristbands that were designed to sense the physiological hallmarks of ongoing GTCS: while Embrace only embeds a machine learning-based detection algorithm, both E4 and Embrace devices are equipped with motion (accelerometers, ACC) and electrodermal activity (EDA) sensors and both the devices received medical clearance (E4 from EU CE, Embrace from EU CE and US FDA). Read More

View Article

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.eplepsyres.2019.02.007DOI Listing
July 2019
41 Reads