Read by QxMD icon Read

Quantitative eeg

Bo Jin, Wenhan Hu, Linmei Ye, Balu Krishnan, Thandar Aung, Stephen E Jones, Imad M Najm, Andreas V Alexopoulos, Kai Zhang, Junming Zhu, Jianguo Zhang, Meiping Ding, Zhong Chen, Shuang Wang, Zhong Irene Wang
Objective: To investigate the neuroimaging and clinical features associated with sleep-related epilepsy (SRE) in patients with focal cortical dysplasia (FCD) type II. Methods: Patients with histopathologically proven FCD type II were included from three epilepsy centers. SRE was defined according to the video EEG findings and seizure history. Cortical surface reconstruction and volume calculation were performed using FreeSurfer. The lesions were manually delineated on T1 volumetric MRI using the ITK-SNAP software...
2018: Frontiers in Neurology
Chunfang Wang, Yuanyuan Chen, Changcheng Sun, Ying Zhang, Dong Ming, Jingang Du
BACKGROUND: We aimed to explore the electrophysiological changes in poststroke subjects with depressed mood. METHODS: Resting-state electroencephalogram (EEG) signals of 16 electrodes in 35 poststroke depressed, 24 poststroke nondepressed, and 35 age-matched healthy control subjects were analyzed by means of spectral power analysis, a quantitative EEG measurement of different frequency bands. The relationship among depressed mood, functional status, lesion side, and poststroke time was assessed by using variance and Spearman correlation analysis...
March 13, 2018: International Journal of Geriatric Psychiatry
Eline R Kupers, Helena X Wang, Kaoru Amano, Kendrick N Kay, David J Heeger, Jonathan Winawer
Currently, non-invasive methods for studying the human brain do not routinely and reliably measure spike-rate-dependent signals, independent of responses such as hemodynamic coupling (fMRI) and subthreshold neuronal synchrony (oscillations and event-related potentials). In contrast, invasive methods-microelectrode recordings and electrocorticography (ECoG)-have recently measured broadband power elevation in field potentials (~50-200 Hz) as a proxy for locally averaged spike rates. Here, we sought to detect and quantify stimulus-related broadband responses using magnetoencephalography (MEG)...
2018: PloS One
Zahra Khayyer, Leonard Ngaosuvan, Sverker Sikström, Amir Hossein Ghaderi
Frontal cortex activity in the left hemisphere during depression is reduced. Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique that can increase frontal cortex activity. Therapy based on tDCS and positive psychology (PP) therapy was applied improving patients' quality of life. The present study compared three conditions participants with clinical depression; (a) tDCS therapy, (b) positive psychotherapy, and (c) combined treatment. Hamilton Depression Rating Scale (HDRS), Adult State Hope Scale and Optimism/Pessimism Scale (OPS) was used at baseline, 2 weeks, 4-weeks and 3-months follow-up...
2018: Journal of Integrative Neuroscience
Wolfgang Muhlhofer, Jerzy P Szaflarski
PURPOSE OF REVIEW: This paper aims to review and summarize the key contributions of EEG to prognostication after cardiac arrest (CA). RECENT FINDINGS: While there are more EEG patterns predicting poor than good outcome, even EEG patterns previously considered to be "very malignant" may result in survival with a meaningful neurological outcome depending on their underlying etiology as well as the continuity and reactivity of the EEG background. Regardless of the potentially confounding factors, EEG patterns are highly specific with a relatively low false-positive rate...
March 10, 2018: Current Neurology and Neuroscience Reports
Peiyang Li, Weiwei Zhou, Xiaoye Huang, Xuyang Zhu, Huan Liu, Teng Ma, Daqing Guo, Dezhong Yao, Peng Xu
Artifacts in biomedical signal recordings, such as gene expression, sonar image and electroencephalogram, have a great influence on the related research because the artifacts with large value usually break the neighbor structure in the datasets. However, the conventional graph embedding (GE) used for dimension reduction such as linear discriminant analysis, principle component analysis and locality preserving projections is essentially defined in the L2 norm space and is prone to the presence of artifacts, resulting in biased sub-structural features...
March 9, 2018: Scientific Reports
Gerald Ulrich, Georg Juckel, Willi Schlösser
We report on a new quantitative EEG-approach, called Ipsative Trend Assessment which is based on the spatio-temporally defined patterns which are generated by the global interaction of cortical neurons. METHODS: The data were acquired from EEGs being recorded under resting conditions. Target variables are not the usually employed absolute values of the spectral parameters but rather their change being calculated from successive recordings with a single subjects design. RATIONALE: Since the resting-EEG does not provide specific information, we had to decide what else might be addressed by that method...
April 2018: Medical Hypotheses
Alexander Malafeev, Ximena Omlin, Aleksandra Wierzbicka, Adam Wichniak, Wojciech Jernajczyk, Robert Riener, Peter Achermann
Quantitative electroencephalogram analysis (e.g. spectral analysis) has become an important tool in sleep research and sleep medicine. However, reliable results are only obtained if artefacts are removed or excluded. Artefact detection is often performed manually during sleep stage scoring, which is time consuming and prevents application to large datasets. We aimed to test the performance of mostly simple algorithms of artefact detection in polysomnographic recordings, derive optimal parameters and test their generalization capacity...
March 8, 2018: Journal of Sleep Research
Zhenhu Liang, Cheng Huang, Yongwang Li, Darren F Hight, Logan J Voss, Jamie W Sleigh, Xiaoli Li, Yang Bai

 Objective. Significant spectral characteristics of electroencephalogram (EEG) patterns exist in individual patients during re-establishing consciousness after general anesthesia. However, these EEG patterns cannot be quantitatively identified using commercially available depth of anesthesia (DoA) monitors. This study proposed an effective classification method and indices to classify these patterns among patients.
 Approach. Four types of emergence EEG patterns were identified based on EEG data set from 52patients undergoing sevoflurane general anesthesia from two hospitals...
March 7, 2018: Physiological Measurement
Manish N Shah, Anish Mitra, Manu S Goyal, Abraham Z Snyder, Jing Zhang, Joshua S Shimony, David D Limbrick, Marcus E Raichle, Matthew D Smyth
PURPOSE: Temporal lobe epilepsy (TLE) affects resting state brain networks in adults. This study aims to correlate resting state functional MRI (rsMRI) signal latency in pediatric TLE patients with their laterality. METHODS: From 2006 to 2016, 26 surgical TLE patients (12 left, 14 right) with a mean age of 10.7 years (range 0.9-18) were prospectively studied. Preoperative rsMRI was obtained in patients with concordant lateralizing structural MRI, EEG, and PET studies...
March 6, 2018: Child's Nervous System: ChNS: Official Journal of the International Society for Pediatric Neurosurgery
Ina Djonlagic, Daniel Aeschbach, Stephanie Litwack Harrison, Dennis Dean, Kristine Yaffe, Sonia Ancoli-Israel, Katie Stone, Susan Redline
The pathophysiological processes of Alzheimer's dementia predate its clinical manifestation. Sleep disturbances can accelerate the aging process and are common features of dementia. This study examined whether quantitative sleep electroencephalogram changes predate the clinical development of mild cognitive impairment and/or incident dementia. We collected data from a nested case-control sample of women (mean age 83 years) from the Sleep and Cognition Study, an ancillary study to the longitudinal Study of Osteoporotic Fractures, who were characterized as cognitively normal at the time of a baseline polysomnography study (Study of Osteoporotic Fractures visit 8) based on a Mini-Mental Status Exam (MMSE) score >24...
March 5, 2018: Journal of Sleep Research
Hyoungkyu Kim, Anthony G Hudetz, Joseph Lee, George A Mashour, UnCheol Lee
The integrated information theory (IIT) proposes a quantitative measure, denoted as Φ, of the amount of integrated information in a physical system, which is postulated to have an identity relationship with consciousness. IIT predicts that the value of Φ estimated from brain activities represents the level of consciousness across phylogeny and functional states. Practical limitations, such as the explosive computational demands required to estimate Φ for real systems, have hindered its application to the brain and raised questions about the utility of IIT in general...
2018: Frontiers in Human Neuroscience
Feng Li, Guangwei Liu, Xin Tian, Fengying Quan, Bosong Li, Guibo Feng, Xuefeng Wang, Yida Hu
OBJECTIVES: Adult patients with hypoxic-ischemic encephalopathy (HIE) often incur large costs, but their outcomes are poor. Currently, there is lack of a comprehensive quantitative approach to predict patient prognoses. METHODS: A total of 73 adult patients with HIE participated in this prospective, observational study. Clinical assessments, laboratory tests, and electrophysiological examinations were conducted within 3 days after HIE occurred. Logistic regression model was used to identify independent factors associated with patient outcomes...
March 1, 2018: Expert Review of Neurotherapeutics
Shadnaz Asgari, Hana Moshirvaziri, Fabien Scalzo, Nima Ramezan-Arab
Cardiac arrest (CA) is the leading cause of death and disability in the United States. Early and accurate prediction of CA outcome can help clinicians and families to make a better-informed decision for the patient's healthcare. Studies have shown that electroencephalography (EEG) may assist in early prognosis of CA outcome. However, visual EEG interpretation is subjective, labor-intensive, and requires interpretation by a medical expert, i.e., neurophysiologists. These limiting factors may hinder the applicability of such testing as the prognostic method in clinical settings...
February 26, 2018: Journal of Clinical Monitoring and Computing
Sarah J Anderson, Kent G Hecker, Olave E Krigolson, Heather A Jamniczky
In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts...
2018: Frontiers in Human Neuroscience
Ildikó Nagy, Dániel Fabó
Neurophysiological methods are gaining ground in the diagnosis and therapy of cerebrovascular disease. While the role of the EEG (electroencephalography) in the diagnosis of post-stroke epilepsy is constant, quantitative EEG para-meters, as new indicators of early efficiency after thrombolysis or in prognosis of patient's condition have proved their effectiveness in several clinical studies. In intensive care units, continuous EEG monitoring of critically ill patients became part of neurointenzive care protocols...
January 30, 2018: Ideggyógyászati Szemle
Ying Chen, Weihai Xu, Lijuan Wang, Xiaoming Yin, Jie Cao, Fang Deng, Yingqi Xing, Jiachun Feng
BACKGROUND: Neurological deterioration after intracerebral hemorrhage (ICH) is thought to be closely related to increased intracranial pressure (ICP), decreased cerebral blood flow (CBF), and brain metabolism. Transcranial Doppler (TCD) is increasingly used as an indirect measure of ICP, and quantitative EEG (QEEG) can reflect the coupling of CBF and metabolism. We aimed to combine TCD and QEEG to comprehensively assess brain function after ICH and provide prognostic diagnosis. METHODS: We prospectively enrolled patients with severe acute supratentorial (SAS)-ICH from June 2015 to December 2016...
February 20, 2018: Critical Care: the Official Journal of the Critical Care Forum
Christophe Henri Valdemar Duez, Mads Qvist Ebbesen, Krisztina Benedek, Martin Fabricius, Mary Doreen Atkins, Sandor Beniczky, Troels W Kjaer, Hans Kirkegaard, Birger Johnsen
OBJECTIVE: To assess inter-rater agreement on EEG-reactivity (EEG-R) in comatose patients and compare it with a quantitative method (QEEG-R). METHODS: Six 30-s stimulation epochs (noxious, visual and auditory) were performed during EEG on 19 neurosurgical and 11 cardiac arrest patients. Six experts analysed EEGs for reactivity using their habitual methods. QEEG-R was defined as present if ≥2/6 epochs were reactive (stimulation/rest power ratio exceeding noise level)...
February 2, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
Xianghong Arakaki, Michael Shoga, Lianyang Li, George Zouridakis, Thao Tran, Alfred N Fonteh, Jessica Dawlaty, Robert Goldweber, Janice M Pogoda, Michael G Harrington
Diagnosing and monitoring recovery of patients with mild traumatic brain injury (mTBI) is challenging because of the lack of objective, quantitative measures. Diagnosis is based on description of injuries often not witnessed, subtle neurocognitive symptoms, and neuropsychological testing. Since working memory (WM) is at the center of cognitive functions impaired in mTBI, this study was designed to define objective quantitative electroencephalographic (qEEG) measures of WM processing that may correlate with cognitive changes associated with acute mTBI...
2018: PloS One
Chun-Shu Wei, Yu-Te Wang, Chin-Teng Lin, Tzyy-Ping Jung
Drowsy driving is one of the major causes that lead to fatal accidents worldwide. For the past two decades, many studies have explored the feasibility and practicality of drowsiness detection using electroencephalogram (EEG)-based brain-computer interface (BCI) systems. However, on the pathway of transitioning laboratory-oriented BCI into real-world environments, one chief challenge is to obtain high-quality EEG with convenience and long-term wearing comfort. Recently, acquiring EEG from non-hair-bearing (NHB) scalp areas has been proposed as an alternative solution to avoid many of the technical limitations resulted from the interference of hair between electrodes and the skin...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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"