keyword
https://read.qxmd.com/read/38666279/evaluation-of-paroxysmal-events-in-critically-ill-patients-relationship-of-primary-diagnosis-to-long-term-electroencephalogram-yield
#1
JOURNAL ARTICLE
Hai Chen, Andrew Becker, Eugenie Atallah, Jennifer Pauldurai, Mohamad Koubeissi
Continuous EEG (cEEG) is indicated for the workup of paroxysmal events. We aimed to assess whether primary admission diagnoses predict the yield of cEEG when ordered for evaluating paroxysmal events. We identified patients in the ICU who underwent at least 6 hours of cEEG monitoring to evaluate paroxysmal events. Primary admission diagnoses were categorized into neurological or non-neurological conditions. cEEG results were dichotomized into presence or absence of epileptiform discharges. We identified 159 recordings that were obtained for the evaluation of paroxysmal events...
April 2024: Neurohospitalist
https://read.qxmd.com/read/38641413/inhibition-of-neuron-restrictive-silencing-factor-rest-nrsf-chromatin-binding-attenuates-epileptogenesis
#2
JOURNAL ARTICLE
Alicia M Hall, Noriko Kamei, Manlin Shao, Hyun-Seung Mun, Kevin Chen, Yuncai Chen, Tallie Z Baram
The mechanisms by which brain insults lead to subsequent epilepsy remain unclear. Insults including trauma, stroke, infections and long seizures (status epilepticus; SE) increase the nuclear expression and chromatin binding of the neuronal restrictive silencing factor / RE-1 silencing transcription factor (NRSF/REST). REST/NRSF orchestrates major disruption of the expression of key neuronal genes, including ion channels and neurotransmitter receptors, potentially contributing to epileptogenesis. Accordingly, transient interference with REST/NRSF chromatin binding after an epilepsy-provoking SE suppressed spontaneous seizures for the 12- day duration of a prior study...
April 19, 2024: ENeuro
https://read.qxmd.com/read/38636829/differentiating-ischemic-stroke-patients-from-healthy-subjects-using-a-large-scale-retrospective-eeg-database-and-machine-learning-methods
#3
JOURNAL ARTICLE
William Peterson, Nithya Ramakrishnan, Krag Browder, Nerses Sanossian, Peggy Nguyen, Ezekiel Fink
OBJECTIVES: We set out to develop a machine learning model capable of distinguishing patients presenting with ischemic stroke from a healthy cohort of subjects. The model relies on a 3-min resting electroencephalogram (EEG) recording from which features can be computed. MATERIALS AND METHODS: Using a large-scale, retrospective database of EEG recordings and matching clinical reports, we were able to construct a dataset of 1385 healthy subjects and 374 stroke patients...
April 16, 2024: Journal of Stroke and Cerebrovascular Diseases: the Official Journal of National Stroke Association
https://read.qxmd.com/read/38633751/development-and-evaluation-of-a-bci-neurofeedback-system-with-real-time-eeg-detection-and-electrical-stimulation-assistance-during-motor-attempt-for-neurorehabilitation-of-children-with-cerebral-palsy
#4
JOURNAL ARTICLE
Ahad Behboodi, Julia Kline, Andrew Gravunder, Connor Phillips, Sheridan M Parker, Diane L Damiano
In the realm of motor rehabilitation, Brain-Computer Interface Neurofeedback Training (BCI-NFT) emerges as a promising strategy. This aims to utilize an individual's brain activity to stimulate or assist movement, thereby strengthening sensorimotor pathways and promoting motor recovery. Employing various methodologies, BCI-NFT has been shown to be effective for enhancing motor function primarily of the upper limb in stroke, with very few studies reported in cerebral palsy (CP). Our main objective was to develop an electroencephalography (EEG)-based BCI-NFT system, employing an associative learning paradigm, to improve selective control of ankle dorsiflexion in CP and potentially other neurological populations...
2024: Frontiers in Human Neuroscience
https://read.qxmd.com/read/38631924/investigating-delirium-in-stroke-with-an-eeg-lens-focal-lesions-with-global-impact
#5
EDITORIAL
Erika L Juárez Martínez, Eyal Kimchi
No abstract text is available yet for this article.
April 9, 2024: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://read.qxmd.com/read/38625521/functional-connectivity-alterations-in-patients-with-post-stroke-epilepsy-based-on-source-level-eeg-and-graph-theory
#6
JOURNAL ARTICLE
Dong Ah Lee, Taeik Jang, Jaeho Kang, Seongho Park, Kang Min Park, Min Kang, Park
We investigated the differences in functional connectivity based on the source-level electroencephalography (EEG) analysis between stroke patients with and without post-stroke epilepsy (PSE). Thirty stroke patients with PSE and 35 stroke patients without PSE were enrolled. EEG was conducted during a resting state period. We used a Brainstorm program for source estimation and the connectivity matrix. Data were processed according to EEG frequency bands. We used a BRAPH program to apply a graph theoretical analysis...
April 16, 2024: Brain Topography
https://read.qxmd.com/read/38578854/explainable-deep-learning-prediction-for-brain-computer-interfaces-supported-lower-extremity-motor-gains-based-on-multi-state-fusion
#7
JOURNAL ARTICLE
Ping-Ju Lin, Wei Li, Xiaoxue Zhai, Zhibin Li, Jingyao Sun, Quan Xu, Yu Pan, Linhong Ji, Chong Li
Predicting the potential for recovery of motor function in stroke patients who undergo specific rehabilitation treatments is an important and major challenge. Recently, electroencephalography (EEG) has shown potential in helping to determine the relationship between cortical neural activity and motor recovery. EEG recorded in different states could more accurately predict motor recovery than single-state recordings. Here, we design a multi-state (combining eyes closed, EC, and eyes open, EO) fusion neural network for predicting the motor recovery of patients with stroke after EEG-brain-computer-interface (BCI) rehabilitation training and use an explainable deep learning method to identify the most important features of EEG power spectral density and functional connectivity contributing to prediction...
April 5, 2024: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://read.qxmd.com/read/38576698/hereditary-creutzfeldt-jakob-disease-a-case-presentation-of-a-rare-stroke-mimic
#8
Rachel E Bridwell, Jessica A Barlow, Andrew R Jacobson, Angela Curell, Brit Long
Acute ischemic cerebrovascular accident (CVA) is a time-sensitive emergent diagnosis, requiring rapid diagnosis and consideration of thrombolytic administration. However, a myriad of cerebrovascular mimics creates a diagnostic challenge. A rare CVA mimic is Creutzfeldt-Jakob disease (CJD), a rapidly progressive fatal dementia due to protein misfolding. Magnetic resonance imaging (MRI) and neurology consultation for electroencephalogram (EEG) and specialized cerebrospinal fluid (CSF) studies are diagnostic while the patient is alive...
March 2024: Curēus
https://read.qxmd.com/read/38576448/effects-of-non-invasive-cervical-spinal-cord-neuromodulation-by-trans-spinal-electrical-stimulation-on-cortico-muscular-descending-patterns-in-upper-extremity-of-chronic-stroke
#9
JOURNAL ARTICLE
Jianing Zhang, Maner Wang, Monzurul Alam, Yong-Ping Zheng, Fuqiang Ye, Xiaoling Hu
Background: Trans-spinal electrical stimulation (tsES) to the intact spinal cord poststroke may modulate the cortico-muscular control in stroke survivors with diverse lesions in the brain. This work aimed to investigate the immediate effects of tsES on the cortico-muscular descending patterns during voluntary upper extremity (UE) muscle contractions by analyzing cortico-muscular coherence (CMCoh) and electromyography (EMG) in people with chronic stroke. Methods: Twelve chronic stroke participants were recruited to perform wrist-hand extension and flexion tasks at submaximal levels of voluntary contraction for the corresponding agonist flexors and extensors...
2024: Frontiers in Bioengineering and Biotechnology
https://read.qxmd.com/read/38572492/iglon5-autoimmunity-in-a-patient-with-creutzfeldt-jakob-disease-case-report-and-review-of-literature
#10
Xiaofeng Li, Yimin Chen, Le Zhang, Wei Zhang, Bin Li, José Fidel Baizabal-Carvallo, Xingwang Song
OBJECTIVE: We present the case of a patient with clinical and imaging features of sporadic Creutzfeldt-Jakob disease (sCJD) and positive IgLON5 antibodies (Abs) in the serum and CSF. CASE REPORT: A 66-year-old Chinese man presented to the hospital with a stroke-like episode, followed by rapidly progressive cognitive decline, mutism, and parkinsonism. The MRI results showed a cortical ribboning sign in diffusion-weighted MRI, periodic triphasic waves with a slow background in EEG, and positive protein 14-3-3 in CSF...
2024: Frontiers in Neurology
https://read.qxmd.com/read/38571523/motor-imagery-for-paediatric-neurorehabilitation-how-much-do-we-know-perspectives-from-a-systematic-review
#11
REVIEW
Amalia Egle Gentile, Sergio Rinella, Eleonora Desogus, Cristiano Maria Verrelli, Marco Iosa, Vincenzo Perciavalle, Martino Ruggieri, Agata Polizzi
BACKGROUND: Motor Imagery (MI) is a cognitive process consisting in mental simulation of body movements without executing physical actions: its clinical use has been investigated prevalently in adults with neurological disorders. OBJECTIVES: Review of the best-available evidence on the use and efficacy of MI interventions for neurorehabilitation purposes in common and rare childhood neurological disorders. METHODS: systematic literature search conducted according to PRISMA by using the Scopus, PsycArticles, Cinahl, PUBMED, Web of Science (Clarivate), EMBASE, PsychINFO, and COCHRANE databases, with levels of evidence scored by OCEBM and PEDro Scales...
2024: Frontiers in Human Neuroscience
https://read.qxmd.com/read/38562428/spectral-exponent-assessment-and-neurofilament-light-chain-a-comprehensive-approach-to-describe-recovery-patterns-in-stroke
#12
JOURNAL ARTICLE
Jacopo Lanzone, Aida Zulueta, Marilisa Boscarino, Matteo Gallotta, Maria Rosaria Argentieri, Alessandro Viganò, Simone Sarasso, Michele A Colombo, Sasha D'Ambrosio, Christian Lunetta, Eugenio Parati
INTRODUCTION: Understanding the residual recovery potential in stroke patients is crucial for tailoring effective neurorehabilitation program s. We propose using EEG and plasmatic Neurofilament light chain (NfL) levels as a model to depict longitudinal patterns of stroke recovery. METHODS: We enrolled 13 patients (4 female, mean age 74.7 ± 8.8) who underwent stroke in the previous month and were hospitalized for 2-months rehabilitation. Patients underwent blood withdrawal, clinical evaluation and high-definition EEG at T1 (first week of rehabilitation) and at T2 (53 ± 10 days after)...
2024: Frontiers in Neurology
https://read.qxmd.com/read/38562230/influencing-factors-of-corticomuscular-coherence-in-stroke-patients
#13
REVIEW
Zhixian Gao, Shiyang Lv, Xiangying Ran, Yuxi Wang, Mengsheng Xia, Junming Wang, Mengyue Qiu, Yinping Wei, Zhenpeng Shao, Zongya Zhao, Yehong Zhang, Xuezhi Zhou, Yi Yu
Stroke, also known as cerebrovascular accident, is an acute cerebrovascular disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between the cerebral cortex and external muscles. Corticomuscular coherence (CMC) is a common and useful method for studying how the cerebral cortex controls muscle activity. CMC can expose functional connections between the cortex and muscle, reflecting the information flow in the motor system. Afferent feedback related to CMC can reveal these functional connections...
2024: Frontiers in Human Neuroscience
https://read.qxmd.com/read/38552593/status-epilepticus-after-mechanical-thrombectomy-the-role-of-early-eeg-assessment-in-stroke-unit-clinical-and-radiological-prognostication
#14
JOURNAL ARTICLE
Gabriele Prandin, Giovanni Furlanis, Ilario Scali, Federica Palacino, Laura Mancinelli, Emanuele Vincis, Paola Caruso, Giulia Mazzon, Marinella Tomaselli, Marcello Naccarato, Paolo Manganotti
BACKGROUND: Convulsive (CSE) and non-convulsive (NCSE) Status Epilepticus are a complication in 0.2-0.3% ischemic strokes. Large stroke and cortical involvement are the main risk factors for developing SE. This study evaluates the prevalence of SE in patients treated with endovascular thrombectomy (EVT) through EEG recording within 72- h from admission. Moreover, we compared clinical, radiological, and outcome measures in SE and no-SE patients. MATERIALS AND METHODS: We collected retrospectively demographical and clinical characteristics of acute ischemic stroke patients who underwent EVT, admitted in the Stroke Unit (SU) of the University Hospital of Trieste between January 2018 and March 2020 who underwent EEG recording within 72- h from the symptoms' onset...
March 12, 2024: Epilepsy Research
https://read.qxmd.com/read/38548493/prevalence-of-clinical-electroencephalography-findings-in-stroke-patients-with-delirium
#15
JOURNAL ARTICLE
Noa B Mintz, Nicholas Andrews, Kelly Pan, Eric Bessette, Wael F Asaad, Mohamed Sherif, Clio Rubinos, Ali Mahta, Timothy D Girard, Michael E Reznik
OBJECTIVE: Delirium is an acute cognitive disorder associated with multiple electroencephalographic (EEG) abnormalities in non-neurological patients, though specific EEG characteristics in patients with stroke remain unclear. We aimed to compare the prevalence of EEG abnormalities in stroke patients during delirium episodes with periods that did not correspond to delirium. METHODS: We retrospectively analyzed clinical EEG reports for stroke patients who received daily delirium assessments as part of a prospective study...
March 16, 2024: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://read.qxmd.com/read/38534560/comparison-of-immediate-neuromodulatory-effects-between-focal-vibratory-and-electrical-sensory-stimulations-after-stroke
#16
JOURNAL ARTICLE
Legeng Lin, Wanyi Qing, Yanhuan Huang, Fuqiang Ye, Wei Rong, Waiming Li, Jiao Jiao, Xiaoling Hu
Focal vibratory stimulation (FVS) and neuromuscular electrical stimulation (NMES) are promising technologies for sensory rehabilitation after stroke. However, the differences between these techniques in immediate neuromodulatory effects on the poststroke cortex are not yet fully understood. In this research, cortical responses in persons with chronic stroke ( n = 15) and unimpaired controls ( n = 15) were measured by whole-brain electroencephalography (EEG) when FVS and NMES at different intensities were applied transcutaneously to the forearm muscles...
March 17, 2024: Bioengineering
https://read.qxmd.com/read/38517874/monitoring-the-after-effects-of-ischemic-stroke-through-eeg-microstates
#17
JOURNAL ARTICLE
Fang Wang, Xue Yang, Xueying Zhang, Fengyun Hu
BACKGROUND AND PURPOSE: Stroke may cause extensive after-effects such as motor function impairments and disorder of consciousness (DoC). Detecting these after-effects of stroke and monitoring their changes are challenging jobs currently undertaken via traditional clinical examinations. These behavioural examinations often take a great deal of manpower and time, thus consuming significant resources. Computer-aided examinations of the electroencephalogram (EEG) microstates derived from bedside EEG monitoring may provide an alternative way to assist medical practitioners in a quick assessment of the after-effects of stroke...
2024: PloS One
https://read.qxmd.com/read/38516308/coherent-activity-within-and-between-hemispheres-cortico-cortical-connectivity-revealed-by-rtms-of-the-right-posterior-parietal-cortex
#18
JOURNAL ARTICLE
Chiara Mazzi, Sonia Mele, Chiara Bagattini, Javier Sanchez-Lopez, Silvia Savazzi
INTRODUCTION: Low frequency (1 Hz) repetitive transcranial stimulation (rTMS) applied over right posterior parietal cortex (rPPC) has been shown to reduce cortical excitability both of the stimulated area and of the interconnected contralateral homologous areas. In the present study, we investigated the whole pattern of intra- and inter-hemispheric cortico-cortical connectivity changes induced by rTMS over rPPC. METHODS: To do so, 14 healthy participants underwent resting state EEG recording before and after 30 min of rTMS at 1 Hz or sham stimulation over the rPPC (electrode position P6)...
2024: Frontiers in Human Neuroscience
https://read.qxmd.com/read/38513274/classification-of-motor-imagery-eeg-signals-using-high-resolution-time-frequency-representations-and-convolutional-neural-network
#19
JOURNAL ARTICLE
Srimadumathi V, MachiReddy Ramasubba Reddy
A Motor Imagery (MI) based Brain Computer Interface (BCI) system aims to provide neuro-rehabilitation for the motor disabled people and patients with brain injuries (e.g., stroke patients) etc. The aim of this work is to classify the left and right hand MI tasks by utilizing the occurrence of event related desynchronization and synchronization (ERD\ERS) in the Electroencephalogram (EEG) during these tasks. This study proposes to use a set of Complex Morlet Wavelets (CMW) having frequency dependent widths to generate high-resolution time-frequency representations (TFR) of the MI EEG signals present in the channels C3 and C4...
March 21, 2024: Biomedical Physics & Engineering Express
https://read.qxmd.com/read/38512735/performance-of-the-action-observation-based-brain-computer-interface-in-stroke-patients-and-gaze-metrics-analysis
#20
JOURNAL ARTICLE
Xin Zhang, Lin He, Qiang Gao, Ning Jiang
Brain-computer interfaces (BCIs) are anticipated to improve the efficacy of rehabilitation for people with motor disabilities. However, applying BCI in clinical practice is still a challenge due to the great diversity of patients. In the current study, a novel action observation (AO) based BCI was proposed and tested on stroke patients. Ten non-hemineglect patients and ten hemineglect patients were recruited. Four AO stimuli were designed, each presenting a decomposed action to complete the reach-and-grasp task...
March 21, 2024: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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