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Quantitative eeg

Sushil Chandra, Greeshma Sharma, Mansi Sharma, Devendra Jha, Alok Pakash Mittal
Sudarshan Kriya Yoga (SKY) is a type of rhythmic breathing activity, trivially a form of Pranayama that stimulates physical, mental, emotional, and social well-being. The objective of the present work is to verify the effect of meditation in optimizing task efficiency and regulating stress. It builds on to quantitatively answer if SKY will increase workload tolerance for divided attention tasks in the people sank in it. EEG and ECG recordings were taken from a total of twenty-five subjects who had volunteered for the experiment...
July 18, 2016: Brain Informatics
Paul S Foster, Valeria Drago, Brad J Ferguson, Patti Kelly Harrison, David W Harrison
The most frequently used measures of executive functioning are either sensitive to left frontal lobe functioning or bilateral frontal functioning. Relatively little is known about right frontal lobe contributions to executive functioning given the paucity of measures sensitive to right frontal functioning. The present investigation reports the development and initial validation of a new measure designed to be sensitive to right frontal lobe functioning, the Figure Trail Making Test (FTMT). The FTMT, the classic Trial Making Test, and the Ruff Figural Fluency Test (RFFT) were administered to 42 right-handed men...
December 2015: Brain Informatics
Luiz Fernando Almeida Silva, Tobias Engel, Cristina R Reschke, Ronan M Conroy, Elena Langa, David C Henshall
Animal models of status epilepticus are important tools to understand the pathogenesis of epileptic brain injury and evaluate potential seizure-suppressive, neuroprotective, and antiepileptogenic treatments. Focal elicitation of status epilepticus by intraamygdala kainic acid in mice produces unilateral hippocampal damage and the emergence of spontaneous recurrent seizures after a short latent period. The model has been characterized in C57BL/6, BALB/c, and SJL mice where strain-specific differences were found in the extent of hippocampal damage...
October 13, 2016: Epilepsy & Behavior: E&B
Cui Su, Zhenhu Liang, Xiaoli Li, Duan Li, Yongwang Li, Mauro Ursino
OBJECTIVE: Multiscale permutation entropy (MSPE) is becoming an interesting tool to explore neurophysiological mechanisms in recent years. In this study, six MSPE measures were proposed for on-line depth of anesthesia (DoA) monitoring to quantify the anesthetic effect on the real-time EEG recordings. The performance of these measures in describing the transient characters of simulated neural populations and clinical anesthesia EEG were evaluated and compared. METHODS: Six MSPE algorithms-derived from Shannon permutation entropy (SPE), Renyi permutation entropy (RPE) and Tsallis permutation entropy (TPE) combined with the decomposition procedures of coarse-graining (CG) method and moving average (MA) analysis-were studied...
2016: PloS One
Meenakshi Dauwan, Jessica J van der Zande, Edwin van Dellen, Iris E C Sommer, Philip Scheltens, Afina W Lemstra, Cornelis J Stam
INTRODUCTION: The aim of this study was to build a random forest classifier to improve the diagnostic accuracy in differentiating dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) and to quantify the relevance of multimodal diagnostic measures, with a focus on electroencephalography (EEG). METHODS: A total of 66 DLB, 66 AD patients, and 66 controls were selected from the Amsterdam Dementia Cohort. Quantitative EEG (qEEG) measures were combined with clinical, neuropsychological, visual EEG, neuroimaging, and cerebrospinal fluid data...
2016: Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Knut A Hestad, Siri Weider, Kristian Bernhard Nilsen, Marit Sæbø Indredavik, Trond Sand
OBJECTIVE: To conduct a blind study of quantitative electroencephalogram-band amplitudes in patients with anorexia nervosa (AN) and healthy controls. METHODS: Twenty-one patients with AN and 24 controls were examined with eyes-closed 16-channel electroencephalogram. Main variables were absolute alpha, theta, and delta amplitudes in frontal, temporal, and posterior regions. RESULTS: There were no significant differences between the AN patients and controls regarding absolute regional band amplitudes in μV...
2016: Neuropsychiatric Disease and Treatment
Ning An, Wei Zhao, Yancui Liu, Xiaofan Yang, Pei Chen
BACKGROUND: Epilepsy is a chronic neurological disorder characterized by recurring seizures. Although scalp electroencephalograms (EEG) and neuroimaging have been used in clinical diagnosis of epilepsy, the more economical, rapid and non-invasive biomarker is still desirable, contributing to the accurate clinical diagnosis and facilitating the appropriate treatment. METHODS: The expression of four epilepsy-associated miRNAs (miR-106b, miR-146a, miR-194-5p and miR-301a) was measured by quantitative RT-PCR in the serum of 90 epilepsy patients and control populations...
September 26, 2016: Epilepsy Research
Daeyoung Kim, Eun Yeon Joo, Dae-Won Seo, Min-Young Kim, Yong-Ho Lee, Hyuk Chan Kwon, Jae-Moon Kim, Seung Bong Hong
BACKGROUND: We conducted the study to examine accuracy of the magnetoencephalography (MEG) spike source localization in presurgical evaluation of patients with medically refractory focal epilepsy. METHODS: Ten consecutive patients with refractory focal epilepsy who were candidates for two-stage surgery with long-term intracranial electroencephalography (ICEEG) monitoring were enrolled. Interictal MEG recordings with simultaneous scalp EEG were obtained within 7days before the ICEEG electrode implantation...
August 16, 2016: Epilepsy Research
Chiara Pastori, Stefano Francione, Federica Pelle, Marco de Curtis, Vadym Gnatkovsky
A quantitative method was developed to map cortical areas responsive to cognitive tasks during intracerebral stereo-EEG recording sessions in drug-resistant patients candidate for epilepsy surgery. Frequency power changes were evaluated with a computer-assisted analysis in 7 patients during phonemic fluency tasks. All patients were right-handed and were explored with depth electrodes in the dominant frontal lobe. We demonstrate that fluency tasks enhance beta-gamma frequencies and reduce background activities in language network regions of the dominant hemisphere...
September 26, 2016: Brain and Language
Jiangbo Pu, Hanhui Xu, Yazhou Wang, Hongyan Cui, Yong Hu
Spinal cord injury (SCI) is a high-cost disability and may cause permanent loss of movement and sensation below the injury location. The chance of cure in human after SCI is extremely limited. Instead, neural regeneration could have been seen in animals after SCI, and such regeneration could be retarded by blocking neural plasticity pathways, showing the importance of neural plasticity in functional recovery. As an indicator of nonlinear dynamics in the brain, sample entropy was used here in combination with detrended fluctuation analysis (DFA) and Kolmogorov complexity to quantify functional plasticity changes in spontaneous EEG recordings of rats before and after SCI...
October 2016: Cognitive Neurodynamics
Mostafa Jalilifar, Ali Yadollahpour, Ahmad Ali Moazedi, Zohreh Ghotbeddin
PURPOSE: Determining different seizure stage specific features in a kindling model is a crucial step in developing efficient objective techniques for early prediction and treatment of seizures. This study identified and categorized kindling stages based on their electrophysiological features through processing extracellular field potentials of Amygdala rapid kindling. METHODS: Thirteen Wistar rats (200±10g) were divided into 2 groups including kindle (n=7) and sham (n=6) and respectively underwent an amygdala rapid kindling and placebo stimulation...
September 19, 2016: Brain Research Bulletin
Joery Goossens, Jorne Laton, Jeroen Van Schependom, Jeroen Gielen, Hanne Struyfs, Sara Van Mossevelde, Tobi Van den Bossche, Johan Goeman, Peter Paul De Deyn, Anne Sieben, Jean-Jacques Martin, Christine Van Broeckhoven, Julie van der Zee, Sebastiaan Engelborghs, Guy Nagels
We investigated the power of EEG as biomarker in differential diagnosis of Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD). EEG was recorded from 106 patients with AD or FTLD, of which 37 had a definite diagnosis, and 40 controls. Dominant frequency peaks were extracted for all 19 channels, for each subject. The average frequency of the largest dominant frequency peaks (maxpeak) was significantly lower in AD than FTLD patients and controls. Based on ROC analysis, classification could be made with diagnostic accuracy of 78...
September 12, 2016: Journal of Alzheimer's Disease: JAD
Yishul Wei, Jennifer R Ramautar, Michele A Colombo, Diederick Stoffers, Germán Gómez-Herrero, Wisse P van der Meijden, Bart H W Te Lindert, Ysbrand D van der Werf, Eus J W Van Someren
STUDY OBJECTIVES: Whereas both insomnia and altered interoception are core symptoms in affective disorders, their neural mechanisms remain insufficiently understood and have not previously been linked. Insomnia Disorder (ID) is characterized by sensory hypersensitivity during wakefulness and sleep. Previous studies on sensory processing in ID addressed external stimuli only, but not interoception. Interoceptive sensitivity can be studied quantitatively by measuring the cerebral cortical response to one's heartbeat (heartbeat-evoked potential, HEP)...
September 9, 2016: Sleep
Vladimir Svetnik, Ellen S Snyder, Junshui Ma, Peining Tao, Christopher Lines, William Joseph Herring
Previous studies of the differences between patients with insomnia and good sleepers with regard to quantitative electroencephalographic measures have mostly utilized small samples and consequently had limited ability to account for potentially important confounding factors of age, sex and part of the night. We conducted a power spectral analysis using a large database of sleep electroencephalographic recordings to evaluate differences between patients with insomnia (N = 803) and good sleepers (N = 811), while simultaneously accounting for these factors and their interaction...
September 16, 2016: Journal of Sleep Research
Shen Ren, Junhua Li, Fumihiko Taya, Joshua deSouza, Nitish Thakor, Anastasios Bezerianos
The analysis of the topology and organisation of brain networks is known to greatly benefit from network measures in graph theory. However, to evaluate dynamic changes of brain functional connectivity, more sophisticated quantitative metrics characterising temporal evolution of brain topological features are required. To simplify conversion of time-varying brain connectivity to a static graph representation is straightforward but the procedure loses temporal information that could be critical in understanding the brain functions...
September 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Mark Wronkiewicz, Eric Larson, Adrian Kc Lee
OBJECTIVE: Brain-computer interface (BCI) technology allows users to generate actions based solely on their brain signals. However, current non-invasive BCIs generally classify brain activity recorded from surface electroencephalography (EEG) electrodes, which can hinder the application of findings from modern neuroscience research. APPROACH: In this study, we use source imaging-a neuroimaging technique that projects EEG signals onto the surface of the brain-in a BCI classification framework...
October 2016: Journal of Neural Engineering
Dan V Iosifescu, Robert J Neborsky, Robert J Valuck
PURPOSE: This study aims to determine whether Psychiatric Electroencephalography Evaluation Registry (PEER) Interactive (an objective, adjunctive tool based on a comparison of a quantitative electroencephalogram to an existing registry of patient outcomes) is more effective than the current standard of care in treatment of subjects suffering from depression. PATIENTS AND METHODS: This is an interim report of an ongoing, 2-year prospective, randomized, double blind, controlled study to evaluate PEER Interactive in guiding medication selection in subjects with a primary diagnosis of depression vs standard treatment...
2016: Neuropsychiatric Disease and Treatment
Daniel Ferreira, Vesna Jelic, Lena Cavallin, Anne-Rita Oeksengaard, Jon Snaedal, Peter Høgh, Birgitte Bo Andersen, Mala Naik, Knut Engedal, Eric Westman, Lars-Olof Wahlund
BACKGROUND/AIMS: Dementia biomarkers that are accessible and easily applicable in nonspecialized clinical settings are urgently needed. Quantitative electroencephalography (qEEG) is a good candidate, and the statistical pattern recognition (SPR) method has recently provided promising results. We tested the diagnostic value of qEEG-SPR in comparison to cognition, structural imaging, and cerebrospinal fluid (CSF) biomarkers. METHODS: A total of 511 individuals were recruited from the multicenter NORD EEG study [141 healthy controls, 64 subjective cognitive decline, 124 mild cognitive impairment, 135 Alzheimer's disease (AD), 15 dementia with Lewy bodies/Parkinson's disease with dementia (DLB/PDD), 32 other dementias]...
2016: Dementia and Geriatric Cognitive Disorders
Laura Bonanni, Raffaella Franciotti, Flavio Nobili, Milica G Kramberger, John-Paul Taylor, Sara Garcia-Ptacek, N Walter Falasca, Francesco Famá, Ruth Cromarty, Marco Onofrj, Dag Aarsland
Quantitative EEG (QEEG) has demonstrated good discriminative capacity for dementia with Lewy bodies (DLB) diagnosis as compared to Alzheimer's disease (AD) with a predictive value of 100% in a single cohort study. EEG in DLB was characterized by a dominant frequency (DF) in pre-alpha (5.5-7.5 Hz), theta, or delta bands and DF variability (DFV) >1.2 Hz, frequency prevalence (FP) pre-alpha in >40% and FP alpha in <32% of the epochs. To validate the aforementioned QEEG findings in independent cohorts of clinically diagnosed DLB versus AD patients, we analyzed EEG traces of 79 DLB and 133 AD patients (MMSE >20) collected from four European Centers...
September 2, 2016: Journal of Alzheimer's Disease: JAD
Leah Muller, Liberty S Hamilton, Erik Edwards, Kristofer E Bouchard, Edward F Chang
OBJECTIVE: Electrocorticography (ECoG) has become an important tool in human neuroscience and has tremendous potential for emerging applications in neural interface technology. Electrode array design parameters are outstanding issues for both research and clinical applications, and these parameters depend critically on the nature of the neural signals to be recorded. Here, we investigate the functional spatial resolution of neural signals recorded at the human cortical surface. We empirically derive spatial spread functions to quantify the shared neural activity for each frequency band of the electrocorticogram...
October 2016: Journal of Neural Engineering
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