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independent component analysis

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https://www.readbyqxmd.com/read/28231626/default-mode-network-deactivation-to-smoking-cue-relative-to-food-cue-predicts-treatment-outcome-in-nicotine-use-disorder
#1
Claire E Wilcox, Eric D Claus, Vince D Calhoun, Srinivas Rachakonda, Rae A Littlewood, Jessica Mickey, Pamela B Arenella, Natalie Goodreau, Kent E Hutchison
Identifying predictors of treatment outcome for nicotine use disorders (NUDs) may help improve efficacy of established treatments, like varenicline. Brain reactivity to drug stimuli predicts relapse risk in nicotine and other substance use disorders in some studies. Activity in the default mode network (DMN) is affected by drug cues and other palatable cues, but its clinical significance is unclear. In this study, 143 individuals with NUD (male n = 91, ages 18-55 years) received a functional magnetic resonance imaging scan during a visual cue task during which they were presented with a series of smoking-related or food-related video clips prior to randomization to treatment with varenicline (n = 80) or placebo...
February 23, 2017: Addiction Biology
https://www.readbyqxmd.com/read/28231395/functional-connectivity-in-amygdalar-sensory-pre-motor-networks-at-rest-new-evidence-from-the-human-connectome-project
#2
Nicola Toschi, Andrea Duggento, Luca Passamonti
The word "e-motion" derives from the Latin word "ex-moveo" which literally means "moving away from something / somebody". Emotions are thus fundamental to prime action and goal-directed behavior with obvious implications for individual's survival. However, the brain mechanisms underlying the interactions between emotional and motor cortical systems remain poorly understood. A recent diffusion tensor imaging study in humans has reported the existence of direct anatomical connections between the amygdala and sensory/(pre)motor cortices, corroborating an initial observation in animal research...
February 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28231147/applying-least-absolute-shrinkage-selection-operator-and-akaike-information-criterion-analysis-to-find-the-best-multiple-linear-regression-models-between-climate-indices-and-components-of-cow-s-milk
#3
Mohammad Reza Marami Milani, Andreas Hense, Elham Rahmani, Angelika Ploeger
This study focuses on multiple linear regression models relating six climate indices (temperature humidity THI, environmental stress ESI, equivalent temperature index ETI, heat load HLI, modified HLI (HLI new), and respiratory rate predictor RRP) with three main components of cow's milk (yield, fat, and protein) for cows in Iran. The least absolute shrinkage selection operator (LASSO) and the Akaike information criterion (AIC) techniques are applied to select the best model for milk predictands with the smallest number of climate predictors...
July 23, 2016: Foods (Basel, Switzerland)
https://www.readbyqxmd.com/read/28230994/artifact-free-and-detection-profile-independent-higher-order-fluorescence-correlation-spectroscopy-for-microsecond-resolved-kinetics-1-multi-detector-and-sub-binning-approach
#4
Farshad Abdollah-Nia, Martin P Gelfand, Alan K Van Orden
Fluorescence correlation spectroscopy (FCS) is a powerful tool in the time-resolved analysis of non-reacting or reacting molecules in solution, based on fluorescence intensity fluctuations. However, conventional (second-order) FCS alone is insufficient to measure all parameters needed to describe a reaction or mixture, including concentrations, fluorescence brightnesses, and forward and reverse rate constants. For this purpose, correlations of higher powers of fluorescence intensity fluctuations can be calculated to yield additional information from the single-photon data stream collected in an FCS experiment...
February 23, 2017: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/28230244/topical-anaesthetics-for-pain-control-during-repair-of-dermal-laceration
#5
REVIEW
Baraa O Tayeb, Anthony Eidelman, Cristy L Eidelman, Ewan D McNicol, Daniel B Carr
BACKGROUND: Topical local anaesthetics provide effective analgesia for patients undergoing numerous superficial procedures, including repair of dermal lacerations. The need for cocaine in topical anaesthetic formulations has been questioned because of concern about adverse effects, thus novel preparations of cocaine-free anaesthetics have been developed. This review was originally published in 2011 and has been updated in 2017. OBJECTIVES: To assess whether benefits of non-invasive topical anaesthetic application occur at the expense of decreased analgesic efficacy...
February 22, 2017: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/28228691/overexpression-of-suppressor-of-zest-12-is-associated-with-cervical-node-metastasis-and-unfavorable-prognosis-in-tongue-squamous-cell-carcinoma
#6
Huijun Hu, Yi Wang, Zhongwu Li, Yumin Zhu, Wei Zhang, Dongmiao Wang, Tangyi Lin, Jianrong Yang, Yanling Wang, Jie Cheng
OBJECTIVE: Increased expression of suppressor of zest 12 (SUZ12), a core component of the polycomb repressive complex 2, contributes to human tumorigenesis and associates with patient prognosis. In the present study, we sought to investigate the expression of SUZ12 and its clinicopathological significance in primary tongue squamous cell carcinoma (TSCC). METHODS: The expression of SUZ12 protein was determined by immunohistochemistry in clinical samples from a retrospective cohort of 72 patients with primary TSCC who were treated at our institution from Jan...
2017: Cancer Cell International
https://www.readbyqxmd.com/read/28228182/cost-effectiveness-of-computerized-cognitive-behavioural-therapy-for-the-treatment-of-depression-in-primary-care-findings-from-the-randomised-evaluation-of-the-effectiveness-and-acceptability-of-computerised-therapy-reeact-trial
#7
A Duarte, S Walker, E Littlewood, S Brabyn, C Hewitt, S Gilbody, S Palmer
BACKGROUND: Computerized cognitive-behavioural therapy (cCBT) forms a core component of stepped psychological care for depression. Existing evidence for cCBT has been informed by developer-led trials. This is the first study based on a large independent pragmatic trial to assess the cost-effectiveness of cCBT as an adjunct to usual general practitioner (GP) care compared with usual GP care alone and to establish the differential cost-effectiveness of a free-to-use cCBT programme (MoodGYM) in comparison with a commercial programme (Beating the Blues) in primary care...
February 23, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28227925/principal-component-analysis-can-decrease-neural-networks-performance-for-incipient-falls-detection-a-preliminary-study-with-hands-and-feet-accelerations
#8
Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera, Fiorenzo Artoni, Dario Martelli, Vito Monaco, Silvestre Micera
Fall-related accidents constitute a major problem for elderly people and a burden to the health-care national system. It is therefore important to design devices (e.g., accelerometers) and machine learning algorithms able to recognize incipient falls as quickly and reliably as possible. Blind source separation (BSS) methods are often used as a preprocessing step before classification, however the effects of BSS on classification performance are not well understood. The aim of this work is to preliminarily characterize the effect that two methods, namely Principal and Independent Component Analysis (PCA and ICA) and their combined use have on the performance of a neural network in detecting incipient falls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227771/tracking-intrinsic-connectivity-brain-network-features-during-successive-pseudo-resting-states-and-interoceptive-task-fmri
#9
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Advanced multivariate analyses of functional magnetic resonance imaging (fMRI) data based on blood oxygen level-dependent (BOLD) contras have revealed that the human brain organizes its activities into multiple intrinsic connectivity networks (ICNs). Several fMRI studies have evaluated the modulations of these networks during different cognitive or emotional tasks using blind source separation techniques particularly the independent component analysis (ICA). In this exploratory study, we applied ICA methodology to examine ICN modulations under different interoceptive conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#10
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227510/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#11
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do, An H Do, Zoran Nenadic, Colin M McCrimmon, Keulanna Gandasetiawan, Payam Heydari, Alireza Karimi-Bidhendi, Po T Wang, Charles Y Liu
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227358/a-view-invariant-gait-cycle-segmentation-for-ambient-monitoring
#12
Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu, Jing Zhou, Jing Zhou, Hao Wu, Beilei Xu, Himanshu Madhu
Gait analysis has many clinical applications in disease detection and treatment evaluation. Gait cycle segmentation is a critical component in gait analysis for timing the gait phases in evaluating many movement disorders. Computer vision techniques have been widely used in surveillance for security monitoring. They are nonintrusive and do not require cooperation from subjects. In this paper, we propose to leverage the videos from existing surveillance monitoring systems to provide long-term and ambient assessments of gait patterns from subjects' daily activity without the requirement of wearing a device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227195/a-new-regression-based-method-for-the-eye-blinks-artifacts-correction-in-the-eeg-signal-without-using-any-eog-channel
#13
Gianluca Di Flumeri, Pietro Arico, Gianluca Borghini, Alfredo Colosimo, Fabio Babiloni, Gianluca Di Flumeri, Pietro Arico, Gianluca Borghini, Alfredo Colosimo, Fabio Babiloni, Gianluca Di Flumeri, Gianluca Borghini, Pietro Arico, Fabio Babiloni, Alfredo Colosimo
Eye blinks artifacts correction in the EEG signal is a best practice in many applications. Nowadays, different approaches can be used to overcome such an issue: the most used methods are based on regression techniques and Independent Component Analysis. It is not clear which is the best performing method, thus the choice of which method to adopt depends on the specific application, on the basis of the method limitations. In fact, on one hand the regression-based methods require at least one EOG channel, and are affected by the mutual contamination between EEG and EOG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227194/exploring-neuro-muscular-synergies-of-reaching-movements-with-unified-independent-component-analysis
#14
Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Fiorenzo Artoni, Elvira Pirondini, Alessandro Panarese, Silvestre Micera, Elvira Pirondini, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera
The coordinated recruitment of group of muscles through muscles synergies is known to simplify the control of movements. However, how and to what extent such control scheme is encoded at a cortical level is poorly understood. So far, electroencephalography (EEG) and electromyography (EMG) have been used, separately, to investigate the cortical regions of the human brain which may be involved in activating muscle synergies. Here we aim at extending these results by looking for a hierarchical relationship between cortical and muscular sources of activity (neuro-muscular synergies) with a unified analysis of independent components (IC) simultaneously extracted from both EEG and EMG signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227193/double-sensor-complementary-placement-method-to-reduce-motion-artifacts-in-ppg-using-fast-independent-component-analysis
#15
Frank P-W Lo, Max Q-H Meng, Frank P-W Lo, Max Q-H Meng, Max Q H Meng, Frank P W Lo
A novel sensor placement method for better removal of motion artifacts (MA) from photoplethysmography (PPG) signal using Fast Independent Component Analysis (ICA) is proposed in this paper. The method enhances the determination of pulse transit time (PTT) of PPG signals. The design makes use of double reflectance mode based PPG probes, which are placed complementary to each other and on the two sides of a single finger. Furthermore, a novel indicator denoted as Separating Factor is proposed as well. It helps evaluating the performance of ICA with different sensors configuration...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227192/acoustic-evaluation-of-pirfenidone-on-patients-with-combined-pulmonary-fibrosis-emphysema-syndrome
#16
Sonia Charleston-Villalobos, Norma Castaneda-Villa, Ramon Gonzalez-Camarena, M Mejia-Avila, H Mateos-Toledo, Tomas Aljama-Corrales, Sonia Charleston-Villalobos, Norma Castaneda-Villa, Ramon Gonzalez-Camarena, M Mejia-Avila, H Mateos-Toledo, Tomas Aljama-Corrales, Tomas Aljama-Corrales, Ramon Gonzalez-Camarena, Sonia Charleston-Villalobos, Norma Castaneda-Villa, M Mejia-Avila, H Mateos-Toledo
The combined pulmonary fibrosis emphysema syndrome (CPFES) overall has a poor prognosis with a 5-year survival of 35-80%. Consequently, to evaluate possible positive effects on patients of novel agents as pirfenidone is relevant. However, the efficacy of pirfenidone in CPFES patients is still not well-known. In this study we propose an alternative to evaluate the effects of pirfenidone treatment on CPFES patients via acoustic information. Quantitative analysis of discontinuous adventitious lung sounds (DLS), known as crackles, has been promising to detect and characterize diverse pulmonary pathologies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227191/application-of-independent-component-analysis-to-remove-linear-dependencies-in-eeg-recorded-in-hippocampus
#17
J Harry Blaise, Taikang Ning, J Harry Blaise, Taikang Ning, Taikang Ning
Linear cross-spectral and nonlinear cross-bispectral analysis techniques were applied to EEG data recorded simultaneously in two subfields (CA1 and dentate gyrus) of the hippocampus in freely behaving neonatal rats during REM sleep. Linear dependencies between the two sites were specifically removed using independent component analysis (ICA). The cross-spectrum and the cross-bispectrum computed prior to ICA processing were compared with those after ICA processing to determine its effects. Our results indicate that ICA almost completely extracts the linear relationship in the theta frequency band between CA1 and the dentate gyrus...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#18
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226876/brain-activation-profiles-in-mtbi-evidence-from-erp-activity-of-working-memory-response
#19
Lianyang Li, Xianghong Arakaki, Thao Tran, Michael Harrington, Nikhil Padhye, George Zouridakis, Lianyang Li, Xianghong Arakaki, Thao Tran, Michael Harrington, Nikhil Padhye, George Zouridakis, Nikhil Padhye, Xianghong Arakaki, Thao Tran, Michael Harrington, George Zouridakis, Lianyang Li
In this study we analyzed event related potentials (ERPs) obtained in an N-back working memory test that varied in difficulty from 0- to 2-back. We collected 21 channels of activity from 11 mild traumatic brain injury (mTBI) patients and 7 normal controls, on three different visits, and used the amplitude and latency of the P300 component to characterize the subjects. A preprocessing procedure based on independent component analysis was used first to identify and eliminate electrophysiological noise on a single trial basis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226657/improving-test-retest-reliability-of-quantitative-electroencephalography-using-different-preprocessing-approaches
#20
Jazmin Suarez-Revelo, John Ochoa-Gomez, Jon Duque-Grajales, Jazmin Suarez-Revelo, John Ochoa-Gomez, Jon Duque-Grajales, Jon Duque-Grajales, John Ochoa-Gomez, Jazmin Suarez-Revelo
This work aims to assess the effect of preprocessing approaches over test-retest reliability of quantitative electroencephalography measurements. Two electroencephalography sessions were recorded during an eyes-closed resting state condition in 15 young healthy individuals. The second session was 4 to 6 weeks after the first one. Clean recordings were obtained from the implementation of different preprocessing approaches commonly used in the literature. We then estimated the power spectrum density, for each individual and preprocessing approach, in six frequency bands: delta, theta, alpha1, alpha2, beta, and gamma...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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