keyword
https://read.qxmd.com/read/38517874/monitoring-the-after-effects-of-ischemic-stroke-through-eeg-microstates
#1
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
#2
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
#3
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
#4
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
https://read.qxmd.com/read/38510371/biosignal-integrated-robotic-systems-with-emerging-trends-in-visual-interfaces-a-systematic-review
#5
REVIEW
Jaeho Lee, Sina Miri, Allison Bayro, Myunghee Kim, Heejin Jeong, Woon-Hong Yeo
Human-machine interfaces (HMI) are currently a trendy and rapidly expanding area of research. Interestingly, the human user does not readily observe the interface between humans and machines. Instead, interactions between the machine and electrical signals from the user's body are obscured by complex control algorithms. The result is effectively a one-way street, wherein data is only transmitted from human to machine. Thus, a gap remains in the literature: how can information be effectively conveyed to the user to enable mutual understanding between humans and machines? Here, this paper reviews recent advancements in biosignal-integrated wearable robotics, with a particular emphasis on "visualization"-the presentation of relevant data, statistics, and visual feedback to the user...
March 2024: Biophysics reviews
https://read.qxmd.com/read/38508711/balancing-the-senses-electrophysiological-responses-reveal-the-interplay-between-somatosensory-and-visual-processing-during-body-related-multisensory-conflict
#6
JOURNAL ARTICLE
A R Rossi Sebastiano, K Poles, S Gualtiero, M Romeo, M Galigani, V Bruno, C Fossataro, F Garbarini
In the study of bodily-awareness, the Predictive Coding Theory has revealed that our brain continuously modulates sensory experiences to integrate them into a unitary body representation. Indeed, during multisensory illusions (e.g., the rubber hand illusion; RHI), the synchronous stroking of the participant's concealed hand and a fake visible one creates a visuo-tactile conflict, generating a prediction error. Within the Predictive Coding framework, through sensory processing modulation, prediction errors are solved, inducing participants to feel as if touches originated from the fake hand, thus ascribing the fake hand to their own body...
March 20, 2024: Journal of Neuroscience
https://read.qxmd.com/read/38500488/upper-extremity-training-followed-by-lower-extremity-training-with-a-brain-computer-interface-rehabilitation-system
#7
JOURNAL ARTICLE
Sebastian Sieghartsleitner, Marc Sebastián-Romagosa, Woosang Cho, Johannes Grünwald, Rupert Ortner, Josef Scharinger, Kyousuke Kamada, Christoph Guger
INTRODUCTION: Brain-computer interfaces (BCIs) based on functional electrical stimulation have been used for upper extremity motor rehabilitation after stroke. However, little is known about their efficacy for multiple BCI treatments. In this study, 19 stroke patients participated in 25 upper extremity followed by 25 lower extremity BCI training sessions. METHODS: Patients' functional state was assessed using two sets of clinical scales for the two BCI treatments...
2024: Frontiers in Neuroscience
https://read.qxmd.com/read/38475214/adaptive-time-frequency-segment-optimization-for-motor-imagery-classification
#8
JOURNAL ARTICLE
Junjie Huang, Guorui Li, Qian Zhang, Qingmin Yu, Ting Li
Motor imagery (MI)-based brain-computer interface (BCI) has emerged as a crucial method for rehabilitating stroke patients. However, the variability in the time-frequency distribution of MI-electroencephalography (EEG) among individuals limits the generalizability of algorithms that rely on non-customized time-frequency segments. In this study, we propose a novel method for optimizing time-frequency segments of MI-EEG using the sparrow search algorithm (SSA). Additionally, we apply a correlation-based channel selection (CCS) method that considers the correlation coefficient of features between each pair of EEG channels...
March 5, 2024: Sensors
https://read.qxmd.com/read/38460956/resting-state-eeg-as-biomarker-of-maladaptive-motor-function-and-depressive-profile-in-stroke-patients
#9
JOURNAL ARTICLE
Lucas M Marques, Sara Pinto Barbosa, Anna Carolyna Gianlorenço, K Pacheco-Barrios, Daniel R Souza, Denise Matheus, Linamara Battistella, Marcel Simis, Felipe Fregni
Objective: Investigate the relationship between resting-state EEG-measured brain oscillations and clinical and demographic measures in Stroke patients. Methods: We performed a cross-sectional analysis of a cohort study (DEFINE cohort), Stroke arm, with 85 patients, considering demographic, clinical, and stroke characteristics. Resting-state EEG relative power from delta, theta, alpha, and beta oscillations were measured from the central region. Multivariate regression models were used for both affected and non-affected hemispheres...
March 9, 2024: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://read.qxmd.com/read/38448538/brain-connectivity-analysis-based-classification-of-obstructive-sleep-apnea-using-electroencephalogram-signals
#10
JOURNAL ARTICLE
J Rajeswari, M Jagannath
Obstructive sleep apnea (OSA) is a disorder which blocks the upper airway during sleep. The severity of OSA will lead heart attack, stroke and end of life. This proposed study explored the classification of OSA and healthy subjects using brain connectivity analysis from electroencephalogram (EEG) signals. Institute of System and Robotics-University of Coimbra (ISRUC) database were used for acquiring 50 EEG signals using 4 channels and noise removal has been accomplished by 50 Hz notch filter. The Institute of System and Robotics-University of Coimbra (ISRUC) database contained 50 EEG signals, with four channels, and a 50 Hz notch filter was applied to remove noise...
March 6, 2024: Scientific Reports
https://read.qxmd.com/read/38433438/a-78-year-old-woman-with-sudden-onset-of-left-sided-hemiballismus
#11
JOURNAL ARTICLE
Arman Israelyan, John Ludlow, Nataliya Pyatka, Edward J Durant
BACKGROUND Hemiballismus is the most severe form of chorea and is a hyperkinetic disorder characterized by involuntary, high-amplitude movements of the ipsilateral arm and leg, due to lesions of the contralateral side of the central nervous system. Ischemic or hemorrhagic strokes and nonketotic hyperglycemia are predominant etiologies of hemiballismus. Case reports highlighting hemiballismus associated with temporal and parietal lobe infarcts have been published, although research of frontal lobe involvement is limited...
March 4, 2024: American Journal of Case Reports
https://read.qxmd.com/read/38432120/outcomes-and-predictors-of-seizure-recurrence-in-post-stroke-epilepsy-a-retrospective-hospital-based-study
#12
JOURNAL ARTICLE
Erum Shariff, Saima Nazish, Rizwana Shahid, Azra Zafar, Zakia M Yasawy, Norah A AlKhaldi, Danah AlJaafari, Nehad M Soltan, Foziah Alshamrani, Mohammed AlShurem, Aishah Ibrahim Albakr, Feras AlSulaiman, Rana Alameri, Majed Alabdali
BACKGROUND: The occurrence of seizures following a stroke is a well-recognized complication associated with a significant increase in morbidity and mortality. Despite the numerous studies examining outcomes and risk factors related to post-stroke seizures (PSS), there remains a lack of clarity regarding the clinical characteristics, treatment, and PSS recurrence (PSSR) rates in patients experiencing their initial episode of PSS. PURPOSE: This study aimed to determine the risk factors for developing recurrent seizures after first PSS and their effects on functional outcomes and mortality...
February 27, 2024: Clinical Neurology and Neurosurgery
https://read.qxmd.com/read/38424592/resting-state-cortical-electroencephalogram-rhythms-and-network-in-patients-after-chronic-stroke
#13
JOURNAL ARTICLE
Jack Jiaqi Zhang, Zhongfei Bai, Kenneth N K Fong
OBJECTIVE: To investigate the resting-state cortical electroencephalogram (EEG) rhythms and networks in patients with chronic stroke and examine their correlation with motor functions of the hemiplegic upper limb. METHODS: Resting-state EEG data from 22 chronic stroke patients were compared to EEG data from 19 age-matched and 16 younger-age healthy controls. The EEG rhythmic powers and network metrics were analyzed. Upper limb motor functions were evaluated using the Fugl-Meyer assessment-upper extremity scores and action research arm test...
February 29, 2024: Journal of Neuroengineering and Rehabilitation
https://read.qxmd.com/read/38423364/delay-estimation-for-cortical-muscular-interaction-with-wavelet-coherence-time-lag
#14
JOURNAL ARTICLE
Ting Wang, Mingze Xia, Junhong Wang, Anton Zhilenkov, Jian Wang, Xugang Xi, Lihua Li
BACKGROUND: Cortico-muscular coherence (CMC) between the cerebral cortex and muscle activity is an effective tool for studying neural communication in the motor control system. To accurately evaluate the coherence between electroencephalogram (EEG) and electromyogram (EMG) signals, it is necessary to accurately calculate the time delay between physiological signals to ensure signal synchronization. NEW METHOD: We proposed a new delay estimation method, named wavelet coherence time lag (WCTL) and the significant increase areas (SIA) index as a measure of the specific region enhancement effect of the magnitude squared coherence (MSC) image...
February 27, 2024: Journal of Neuroscience Methods
https://read.qxmd.com/read/38422721/quantitative-eeg-and-prognosis-for-recovery-in-post-stroke-patients-the-effect-of-lesion-laterality
#15
JOURNAL ARTICLE
Piergiuseppe Liuzzi, Antonello Grippo, Alessandro Sodero, Chiara Castagnoli, Ilaria Pellegrini, Rachele Burali, Tanita Toci, Teresa Barretta, Andrea Mannini, Bahia Hakiki, Claudio Macchi, Francesco Lolli, Francesca Cecchi
OBJECTIVE: There is emerging confidence that quantitative EEG (qEEG) has the potential to inform clinical decision-making and guide individualized rehabilitation after stroke, but consensus on the best EEG biomarkers is needed for translation to clinical practice. This study investigates the spatial qEEG spectral and symmetry distribution in patients with a left/right hemispheric stroke, to evaluate their side-specific prognostic power in post-acute rehabilitation outcome. METHODS: Resting-state 19-channel EEG recordings were collected with clinical information on admission to intensive inpatient rehabilitation (within 30 days post stroke), and six months post stroke...
February 28, 2024: Clinical Neurophysiology
https://read.qxmd.com/read/38417162/evaluation-of-temporal-spatial-and-spectral-filtering-in-csp-based-methods-for-decoding-pedaling-based-motor-tasks-using-eeg-signals
#16
JOURNAL ARTICLE
Cristian Felipe Blanco-Díaz, Cristian David David Guerrero Mendez, Denis Delisle-Rodriguez, Sebastián Jaramillo-Isaza, Andres Felipe Ruiz Olaya, Anselmo Frizera-Neto, Alberto Ferreira de Souza, Teodiano Freire Bastos Filho
Stroke is a neurological syndrome that usually causes a loss of voluntary control of lower/upper body movements, making it difficult for affected individuals to perform Activities of Daily Living (ADLs). Brain-Computer Interfaces (BCIs) combined with robotic systems, such as Motorized Mini Exercise Bikes (MMEB), have enabled the rehabilitation of people with disabilities by decoding their actions and executing a motor task. However, Electroencephalography (EEG)-based BCIs are affected by the presence of physiological and non-physiological artifacts...
February 28, 2024: Biomedical Physics & Engineering Express
https://read.qxmd.com/read/38414845/editorial-exploration-of-the-non-invasive-brain-computer-interface-and-neurorehabilitation
#17
EDITORIAL
Shugeng Chen, Lin Yao, Lei Cao, Marco Caimmi, Jie Jia
No abstract text is available yet for this article.
2024: Frontiers in Neuroscience
https://read.qxmd.com/read/38408745/quantitative-eeg-for-the-monitoring-of-walking-recovery-in-chronic-stroke-patients-receiving-action-observation-training
#18
JOURNAL ARTICLE
Fatemeh Shamsi, Hadi Aligholi, Mohammad Taghi Karimi, Afshin Borhani-Haghighi, Mohammad Nami
The current study aimed to evaluate the effects of action observation on the walking ability and oscillatory brain activity of chronic stroke patients. Fourteen chronic stroke patients were allocated randomly to the action observation (AO) or sham observation (SO) groups. Both groups received 12 sessions of intervention. Each session composed of 12 min of observational training, which depicted exercises for the experimental group but nature pictures for the sham group and 40 min of occupational therapy, which was the same for the both groups...
February 26, 2024: Journal of Motor Behavior
https://read.qxmd.com/read/38390951/intraoperative-eeg-based-monitors-are-we-looking-under-the-lamppost
#19
REVIEW
Dana Baron Shahaf, Goded Shahaf
PURPOSE OF REVIEW: While electroencephalogram (EEG)-based depth of anesthesia monitors have been in use clinically for decades, there is still a major debate concerning their efficacy for detecting awareness under anesthesia (AUA). Further utilization of these monitors has also been discussed vividly, for example, reduction of postoperative delirium (POD).It seems that with regard to reducing AUA and POD, these monitors might be applicable, under specific anesthetic protocols. But in other settings, such monitoring might be less contributive and may have a 'built-it glass ceiling'...
April 1, 2024: Current Opinion in Anaesthesiology
https://read.qxmd.com/read/38380702/alleviating-sleep-disturbances-and-modulating-neuronal-activity-after-ischemia-evidence-for-the-benefits-of-zolpidem-in-stroke-recovery
#20
JOURNAL ARTICLE
Zhi-Gang Zhong, Gui-Jin Tao, Shu-Mei Hao, Hui Ben, Wei-Min Qu, Feng-Yan Sun, Zhi-Li Huang, Mei-Hong Qiu
AIMS: Sleep disorders are prevalent among stroke survivors and impede stroke recovery, yet they are still insufficiently considered in the management of stroke patients, and the mechanisms by which they occur remain unclear. There is evidence that boosting phasic GABA signaling with zolpidem during the repair phase improves stroke recovery by enhancing neural plasticity; however, as a non-benzodiazepine hypnotic, the effects of zolpidem on post-stroke sleep disorders remain unclear. METHOD: Transient ischemic stroke in male rats was induced with a 30-minute middle cerebral artery occlusion...
February 2024: CNS Neuroscience & Therapeutics
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