keyword
MENU ▼
Read by QxMD icon Read
search

EEG stroke

keyword
https://www.readbyqxmd.com/read/28325012/eeg-patterns-of-subacute-stroke-patients-performing-motor-tasks-correlate-with-motor-functional-outcome-preliminary-results
#1
Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim
If an early predictor of motor functional outcome after stroke were available, stroke patients would receive more appropriate treatments for motor recovery. We performed a correlation analysis of the electroencephalography (EEG) signal patterns of nine subacute stroke patients (recorded 22.9 ± 7.1 days after onset) and their motor recovery rates (measured 100.2 ± 8.9 days after onset). The beta band spectral power in the bilateral motor cortex after physical upper limb movement correlated significantly with the motor recovery rates [Fugl-Meyer assessment (FMA) scores; Pearson's linear correlation, p <; 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324971/a-small-portable-battery-powered-brain-computer-interface-system-for-motor-rehabilitation
#2
Colin M McCrimmon, Ming Wang, Lucas Silva Lopes, Po T Wang, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
Motor rehabilitation using brain-computer interface (BCI) systems may facilitate functional recovery in individuals after stroke or spinal cord injury. Nevertheless, these systems are typically ill-suited for widespread adoption due to their size, cost, and complexity. In this paper, a small, portable, and extremely cost-efficient (<;$200) BCI system has been developed using a custom electroencephalographic (EEG) amplifier array, and a commercial microcontroller and touchscreen. The system's performance was tested using a movement-related BCI task in 3 able-bodied subjects with minimal previous BCI experience...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324261/prophylactic-anticonvulsants-in-intracerebral-hemorrhage
#3
Jason Mackey, Ashley D Blatsioris, Elizabeth A S Moser, Ravan J L Carter, Chandan Saha, Alec Stevenson, Abigail L Hulin, Darren P O'Neill, Aaron A Cohen-Gadol, Thomas J Leipzig, Linda S Williams
BACKGROUND AND PURPOSE: Prophylactic anticonvulsants are routinely prescribed in the acute setting for intracerebral hemorrhage (ICH) patients, but some studies have reported an association with worse outcomes. We sought to characterize the prevalence and predictors of prophylactic anticonvulsant administration after ICH as well as guideline adherence. We also sought to determine whether prophylactic anticonvulsants were independently associated with poor outcome. METHODS: We performed a retrospective study of primary ICH in our two academic centers...
March 21, 2017: Neurocritical Care
https://www.readbyqxmd.com/read/28323013/electroencephalographic-sensorimotor-rhythms-are-modulated-in-the-acute-phase-following-focal-vibration-in-healthy-subjects
#4
Susanna Lopez, Fabiano Bini, Claudio Del Percio, Franco Marinozzi, Claudia Celletti, Antonio Suppa, Raffaele Ferri, Emanuela Staltari, Filippo Camerota, Claudio Babiloni
Few minutes of focal vibration (FV) on limb muscles can improve motor control in neurological (stroke, Parkinson) patients for unknown underlying neurophysiological mechanisms. Here we hypothesized that in healthy volunteers this FV would increase excitability in the primary sensorimotor cortex (S1-M1) during an isometric contraction of the stimulated muscle. The design included an initial control condition with no FV stimulation (Baseline) as well as three short experimental sessions of FV and a Sham (fake) session in a pseudo-random order...
March 17, 2017: Neuroscience
https://www.readbyqxmd.com/read/28291737/advantages-of-eeg-phase-patterns-for-the-detection-of-gait-intention-in-healthy-and-stroke-subjects
#5
Andreea Ioana Sburlea, Luis Montesano, Javier Minguez
OBJECTIVE: One use of EEG-based brain-computer interfaces (BCIs) in rehabilitation is the detection of movement intention. In this paper we investigate for the first time the instantaneous phase of movement related cortical potential (MRCP) and its application to the detection of gait intention. APPROACH: We demonstrate the utility of MRCP phase in two independent datasets, in which 10 healthy subjects and 9 chronic stroke patients executed a self-initiated gait task in three sessions...
March 14, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28281491/status-epilepticus-refractory-and-super-refractory
#6
REVIEW
Deepanshu Dubey, Jayantee Kalita, Usha K Misra
Status epilepticus (SE) is an important neurological emergency. It is defined as seizures lasting for 5 minutes or more or recurrent seizures without recovery of consciousness to baseline between the attacks. Refractory SE (RSE) is defined as SE persisting despite sufficient dose of benzodiazepines and at least one antiepileptic drug (AED), irrespective of time. Super refractory SE (SRSE) is defined as SE that continues for 24 hours or more after the use of anesthetic therapy, including cases that recur on weaning of the anesthestic agent...
2017: Neurology India
https://www.readbyqxmd.com/read/28278477/quantitative-eeg-for-predicting-upper-limb-motor-recovery-in-chronic-stroke-robot-assisted-rehabilitation
#7
Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic-Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this study, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery...
March 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269708/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#8
F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269555/feature-domain-specific-movement-intention-detection-for-stroke-rehabilitation-with-brain-computer-interfaces
#9
J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen
Brain-computer interface (BCI) driven electrical stimulation has been proposed for neuromodulation for stroke rehabilitation by pairing intentions to move with somatosensory feedback from electrical stimulation. Movement intentions have been detected in several studies using different techniques, with temporal and spectral features being the most common. A few studies have compared temporal and spectral features, but conflicting results have been reported. In this study, the aim was to investigate if complexity measures can be used for movement intention detection and to compare the detection performance based on features extracted from three different domains (time, frequency and complexity) from single-trial EEG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269315/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#10
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268682/the-long-range-temporal-correlations-of-broadband-eeg-oscillations-in-poststroke-depression-subjects-with-basal-ganglia-infarction
#11
Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming
Recent studies have found long-range temporal correlations (LRTC) of neuronal oscillation under different physiological and pathological state. In this paper we aimed to explore the temporal correlations of broadband neuronal oscillation in poststroke depression. Resting state EEGs of 16 electrodes in 16 poststroke depression (PSD), 18 poststroke non-depression (PSND) and 18 healthy control (HC) subjects were analyzed by means of detrended fluctuation analysis (DFA), a quantitative measurement of LRTC. The results indicated that LRTC of broadband oscillation in PSD subjects was still preserved and had similar spatial distribution to non-depression subjects, but attenuated especially in left hemisphere and frontal and posterior temporal regions of right hemisphere...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268625/detecting-voluntary-gait-intention-of-chronic-stroke-patients-towards-top-down-gait-rehabilitation-using-eeg
#12
Junhyuk Choi, Hyolim Kang, Sang Hun Chung, Yeonghun Kim, Ung Hee Lee, Jong Min Lee, Seung-Jong Kim, Min Ho Chun, Hyungmin Kim
One of the recent trends in gait rehabilitation is to incorporate bio-signals, such as electromyography (EMG) or electroencephalography (EEG), for facilitating neuroplasticity, i.e. top-down approach. In this study, we investigated decoding stroke patients' gait intention through a wireless EEG system. To overcome patient-specific EEG patterns due to impaired cerebral cortices, common spatial patterns (CSP) was employed. We demonstrated that CSP filter can be used to maximize the EEG signal variance-ratio of gait and standing conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268622/unscented-kalman-filter-for-neural-decoding-of-human-treadmill-walking-from-non-invasive-electroencephalography
#13
Trieu Phat Luu, Yongtian He, Sho Nakagame, Jeffrey Gorges, Kevin Nathan, Jose L Contreras-Vidal
The feasibility of decoding lower limb kinematics in human treadmill walking from noninvasive electroencephalography (EEG) has been demonstrated with linear Wiener filter. However, nonlinear relationship between neural activities and limb movements may challenge the linear decoders in real-time brain computer interface (BCI) applications. In this study, we propose a nonlinear neural decoder using an Unscented Kalman Filter (UKF) to infer lower limb joint angles from noninvasive scalp EEG signals during human treadmill walking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28254833/yellow-fever-vaccine-associated-neurological-disease-a-suspicious-case
#14
Pedro Beirão, Patrícia Pereira, Andreia Nunes, Pedro Antunes
A 70-year-old man with known cardiovascular risk factors, presented with acute onset expression aphasia, agraphia, dyscalculia, right-left disorientation and finger agnosia, without fever or meningeal signs. Stroke was thought to be the cause, but cerebrovascular disease investigation was negative. Interviewing the family revealed he had undergone yellow fever vaccination 18 days before. Lumbar puncture revealed mild protein elevation. Cultural examinations, Coxiella burnetti, and neurotropic virus serologies were negative...
March 2, 2017: BMJ Case Reports
https://www.readbyqxmd.com/read/28251015/brain-symmetry-index-in-healthy-and-stroke-patients-for-assessment-and-prognosis
#15
Andrei Agius Anastasi, Owen Falzon, Kenneth Camilleri, Malcolm Vella, Richard Muscat
Objective. Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. Methods. Ten male stroke patients and ten matched healthy controls were recruited. Motor function was first assessed clinically using the MRC score, its derivative Motricity Index, and the Fugl-Meyer assessment score. EEG was subsequently recorded first with subjects at rest and then during hand grasping motions, triggered by visual cues...
2017: Stroke Research and Treatment
https://www.readbyqxmd.com/read/28242520/clinical-correlation-and-prognostic-implication-of-periodic-eeg-patterns-a-cohort-study
#16
Han-Tao Li, Tony Wu, Wey-Ran Lin, Wei-En Johnny Tseng, Chun-Wei Chang, Mei-Yun Cheng, Hsiang-Yao Hsieh, Hsing-I Chiang, Chih-Hong Lee, Bao-Luen Chang, Siew-Na Lim
OBJECTIVE: Despite increasing amounts of research on periodic discharges (PDs), large clinical studies regarding their prognostic value are lacking. The aim of the current study was to evaluate the clinical implications and prognostic value of PDs. METHODS: In this single-center retrospective cohort study, we included patients who underwent electroencephalographic recording either during hospitalization or from our outpatient clinics. Demographic data, associated seizure events, use of antiepileptic drugs, and outcomes at discharge were analyzed...
February 14, 2017: Epilepsy Research
https://www.readbyqxmd.com/read/28227970/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#17
F Resquin, J Ibanez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, S Alves, Jose Luis Pons, F Brunetti, J Gonzalez-Vargas, F Resquin, I Dimbwadyo, L Carrasco, L Torres, J Ibanez
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227809/feature-domain-specific-movement-intention-detection-for-stroke-rehabilitation-with-brain-computer-interfaces
#18
J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, H Rovsing, M Jochumsen, M B Sorensen, C Rovsing, A C Royo, I K Niazi, J T Hadsund
Brain-computer interface (BCI) driven electrical stimulation has been proposed for neuromodulation for stroke rehabilitation by pairing intentions to move with somatosensory feedback from electrical stimulation. Movement intentions have been detected in several studies using different techniques, with temporal and spectral features being the most common. A few studies have compared temporal and spectral features, but conflicting results have been reported. In this study, the aim was to investigate if complexity measures can be used for movement intention detection and to compare the detection performance based on features extracted from three different domains (time, frequency and complexity) from single-trial EEG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227555/eeg-patterns-of-subacute-stroke-patients-performing-motor-tasks-correlate-with-motor-functional-outcome-preliminary-results
#19
Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim, Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim, Yun-Hee Kim, Sung-Phil Kim, Wanjoo Park, Laehyun Kim
If an early predictor of motor functional outcome after stroke were available, stroke patients would receive more appropriate treatments for motor recovery. We performed a correlation analysis of the electroencephalography (EEG) signal patterns of nine subacute stroke patients (recorded 22.9 ± 7.1 days after onset) and their motor recovery rates (measured 100.2 ± 8.9 days after onset). The beta band spectral power in the bilateral motor cortex after physical upper limb movement correlated significantly with the motor recovery rates [Fugl-Meyer assessment (FMA) scores; Pearson's linear correlation, p <; 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227554/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#20
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shuang Liu, Shenglong Jiang, Zhonapeng Wang, Dong Ming, Feng He, Qi Hongzhi, Weibo Yi
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
keyword
keyword
55313
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"