keyword
MENU ▼
Read by QxMD icon Read
search

Salience

keyword
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/28230396/detecting-target-changes-in-multiple-object-tracking-with-peripheral-vision-more-pronounced-eccentricity-effects-for-changes-in-form-than-in-motion
#2
Christian Vater, Ralf Kredel, Ernst-Joachim Hossner
In the current study, dual-task performance is examined with multiple-object tracking as a primary task and target-change detection as a secondary task. The to-be-detected target changes in conditions of either change type (form vs. motion; Experiment 1) or change salience (stop vs. slowdown; Experiment 2), with changes occurring at either near (5°-10°) or far (15°-20°) eccentricities (Experiments 1 and 2). The aim of the study was to test whether changes can be detected solely with peripheral vision. By controlling for saccades and computing gaze distances, we could show that participants used peripheral vision to monitor the targets and, additionally, to perceive changes at both near and far eccentricities...
February 23, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28227864/automatic-segmentation-of-multimodal-brain-tumor-images-based-on-classification-of-super-voxels
#3
M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, M Kadkhodaei, S Samavi, N Karimi, H Mohaghegh, S M R Soroushmehr, K Ward, A All, K Najarian, K Ward, S M R Soroushmehr, A All, S Samavi, M Kadkhodaei, H Mohaghegh, K Najarian, N Karimi
Despite the rapid growth in brain tumor segmentation approaches, there are still many challenges in this field. Automatic segmentation of brain images has a critical role in decreasing the burden of manual labeling and increasing robustness of brain tumor diagnosis. We consider segmentation of glioma tumors, which have a wide variation in size, shape and appearance properties. In this paper images are enhanced and normalized to same scale in a preprocessing step. The enhanced images are then segmented based on their intensities using 3D super-voxels...
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
#4
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
#5
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/28227749/reconstructing-multivariate-causal-structure-between-functional-brain-networks-through-a-laguerre-volterra-based-granger-causality-approach
#6
Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi, Andrea Duggento, Nicola Toschi, Maria Guerrisi, Luca Passamonti, Riccardo Barbieri, Gaetano Valenza
Classical multivariate approaches based on Granger causality (GC) which estimate functional connectivity in the brain are almost exclusively based on autoregressive models. Nevertheless, information available from past samples is limited due to both signal autocorrelation and necessarily low model orders. Consequently, multiple time-scales interactions are usually unaccounted for. To overcome these limitations, in this study we propose the use of discrete-time orthogonal Laguerre basis functions within a Wiener-Volterra decomposition of the BOLD signals to perform effective GC assessments of brain functional connectivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227360/unsupervised-abnormality-detection-using-saliency-and-retinex-based-color-enhancement
#7
Farah Deeba, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Farah Deeba, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Shahed K Mohammed, Francis M Bui, Khan A Wahid, Farah Deeba
An efficient and automated abnormality detection method can significantly reduce the burden of screening of the enormous visual information resulting from capsule endoscopic procedure. As a pre-processing stage, color enhancement could be useful to improve the image quality and the detection performance. Therefore, in this paper, we have proposed a two-stage automated abnormality detection algorithm. In the first stage, an adaptive color enhancement method based on Retinex theory is applied on the endoscopic images...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226756/multi-scale-classification-based-lesion-segmentation-for-dermoscopic-images
#8
Mani Abedini, Noel Codella, Rajib Chakravorty, Rahil Garnavi, David Gutman, Brian Helba, John R Smith, Mani Abedini, Noel Codella, Rajib Chakravorty, Rahil Garnavi, David Gutman, Brian Helba, John R Smith, John R Smith, Rahil Garnavi, David Gutman, Mani Abedini, Brian Helba, Rajib Chakravorty, Noel Codella
This paper presents a robust segmentation method based on multi-scale classification to identify the lesion boundary in dermoscopic images. Our proposed method leverages a collection of classifiers which are trained at various resolutions to categorize each pixel as "lesion" or "surrounding skin". In detection phase, trained classifiers are applied on new images. The classifier outputs are fused at pixel level to build probability maps which represent lesion saliency maps. In the next step, Otsu thresholding is applied to convert the saliency maps to binary masks, which determine the border of the lesions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226716/robust-watermarking-in-non-roi-of-medical-images-based-on-dct-dwt
#9
M Jamali, S Samavi, N Karimi, S M R Soroushmehr, K Ward, K Najarian, M Jamali, S Samavi, N Karimi, S M R Soroushmehr, K Ward, K Najarian, K Ward, S M R Soroushmehr, M Jamali, S Samavi, K Najarian, N Karimi
Increasing demand and utilization of telemedicine require transmission of medical information and images over internet. Since authenticity of received images is crucial and patient's information should be included with minimum changes in images, robust watermarking schemes are needed. In this paper, we propose a robust watermark method that embeds patient's information outside the region of interest (ROI) in medical image. In order to find appropriate regions for embedding, we use saliency as a means of measuring importance of regions and find blocks having minimum overlap with the ROI...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28224907/multi-block-data-analysis-using-comdim-for-the-evaluation-of-complex-samples-characterization-of-edible-oils
#10
Larissa Naida Rosa, Luana Caroline de Figueiredo, Elton Guntendorfer Bonafé, Aline Coqueiro, Jesuí Vergílio Visentainer, Paulo Henrique Março, Douglas N Rutledge, Patrícia Valderrama
The ComDim chemometrics method for multi-block analysis was employed to evaluate thirty-two vegetable oil samples analyzed by near infrared (NIR) and ultraviolet-visible (UV-Vis) spectroscopy, and by Gas Chromatography with flame ionization detection (GC-FID) for their fatty acids composition. This unsupervised pattern recognition method was able to extract information from the tables of results that could be presented in informative graphs showing the relationship between the samples through the scores, the predominance of information in particular tables through the saliences and the contribution of the variables in each table which were responsible for the similarities observed in the samples, through the loadings plots...
April 8, 2017: Analytica Chimica Acta
https://www.readbyqxmd.com/read/28224457/elevated-outcome-anticipation-and-outcome-evaluation-erps-associated-with-a-greater-preference-for-larger-but-delayed-rewards
#11
Narun Pornpattananangkul, Ajay Nadig, Storm Heidinger, Keegan Walden, Robin Nusslock
Although waiting for a reward reduces or discounts its value, some people have a stronger tendency to wait for larger rewards and forgo smaller-but-immediate rewards. This ability to delay gratification is captured by individual differences in so-called intertemporal choices in which individuals are asked to choose between larger-but-delayed versus smaller-but-immediate rewards. The current study used event-related potentials (ERPs) to examine whether enhancement in two neurocognitive processes, outcome anticipation and outcome evaluation, modulate individual variability in intertemporal responses...
February 21, 2017: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/28223812/resting-state-functional-connectivity-changes-within-the-default-mode-network-and-the-salience-network-after-antipsychotic-treatment-in-early-phase-schizophrenia
#12
Yingchan Wang, Weijun Tang, Xiaoduo Fan, Jianye Zhang, Daoying Geng, Kaida Jiang, Dianming Zhu, Zhenhua Song, Zeping Xiao, Dengtang Liu
OBJECTIVE: Abnormal resting-state functional connectivity (FC), particularly in the default mode network (DMN) and the salience network (SN), has been reported in schizophrenia, but little is known about the effects of antipsychotics on these networks. The purpose of this study was to examine the effects of atypical antipsychotics on DMN and SN and the relationship between these effects and symptom improvement in patients with schizophrenia. METHODS: This was a prospective study of 33 patients diagnosed with schizophrenia and treated with antipsychotics at Shanghai Mental Health Center...
2017: Neuropsychiatric Disease and Treatment
https://www.readbyqxmd.com/read/28222190/salient-object-changes-influence-overt-attentional-prioritization-and-object-based-targeting-in-natural-scenes
#13
Nicola C Anderson, Mieke Donk
A change to an object in natural scenes attracts attention when it occurs during a fixation. However, when a change occurs during a saccade, and is masked by saccadic suppression, it typically does not capture the gaze in a bottom-up manner. In the present work, we investigated how the type and direction of salient changes to objects affect the prioritization and targeting of objects in natural scenes. We asked observers to look around a scene in preparation for a later memory test. After a period of time, an object in the scene was increased or decreased in salience either during a fixation (with a transient signal) or during a saccade (without transient signal), or it was not changed at all...
2017: PloS One
https://www.readbyqxmd.com/read/28222007/object-discovery-via-cohesion-measurement
#14
Guanjun Guo, Hanzi Wang, Wan-Lei Zhao, Yan Yan, Xuelong Li
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an object. They are therefore particularly suitable for computer vision tasks, such as saliency detection and object proposal generation. However, image pixels, which share a similar real-world color, may be quite different since colors are often distorted by intensity. In this paper, we reinvestigate the affinity matrices originally used in image segmentation methods based on spectral clustering...
February 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28221994/video-saliency-detection-via-spatial-temporal-fusion-and-low-rank-coherency-diffusion
#15
Chenglizhao Chen, Shuai Li, Yongguang Wang, Hong Qin, Aimin Hao
This paper advocates a novel video saliency detection method based on the spatial-temporal saliency fusion and low-rank coherency guided saliency diffusion. In sharp contrast to the conventional methods, which conduct saliency detection locally in a frame-by-frame way and could easily give rise to incorrect low-level saliency map, in order to overcome the existing difficulties, this paper proposes to fuse the color saliency based on global motion clues in a batch-wise fashion. And we also propose low-rank coherency guided spatial-temporal saliency diffusion to guarantee the temporal smoothness of saliency maps...
February 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28220826/different-brain-structures-associated-with-artistic-and-scientific-creativity-a-voxel-based-morphometry-study
#16
Baoguo Shi, Xiaoqing Cao, Qunlin Chen, Kaixiang Zhuang, Jiang Qiu
Creativity is the ability to produce original and valuable ideas or behaviors. In real life, artistic and scientific creativity promoted the development of human civilization; however, to date, no studies have systematically investigated differences in the brain structures responsible for artistic and scientific creativity in a large sample. Using voxel-based morphometry (VBM), this study identified differences in regional gray matter volume (GMV) across the brain between artistic and scientific creativity (assessed by the Creative Achievement Questionnaire) in 356 young, healthy subjects...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28219788/immersion-in-altered-experience-an-investigation-of-the-relationship-between-absorption-and-psychopathology
#17
REVIEW
Cherise Rosen, Nev Jones, Kayla A Chase, Jennifer K Melbourne, Linda S Grossman, Rajiv P Sharma
Understanding alterations in perceptual experiences as a component of the basic symptom structure of psychosis may improve early detection and the identification of subtle shifts that can precede symptom onset or exacerbation. We explored the phenomenological construct of absorption and psychotic experiences in both clinical (bipolar psychosis and schizophrenia spectrum) and non-clinical participants. Participants with psychosis endorsed significantly higher absorption compared to the non-clinical group. Absorption was positively correlated with all types of hallucinations and multiple types of delusions...
February 17, 2017: Consciousness and Cognition
https://www.readbyqxmd.com/read/28218283/place-cells-are-more-strongly-tied-to-landmarks-in-deep-than-in-superficial-ca1
#18
Tristan Geiller, Mohammad Fattahi, June-Seek Choi, Sébastien Royer
Environmental cues affect place cells responses, but whether this information is integrated versus segregated in distinct hippocampal cell populations is unclear. Here, we show that, in mice running on a treadmill enriched with visual-tactile landmarks, place cells are more strongly controlled by landmark-associated sensory inputs in deeper regions of CA1 pyramidal layer (CA1d). Many cells in CA1d display several firing fields correlated with landmarks, mapping positions slightly before or within the landmarks...
February 20, 2017: Nature Communications
https://www.readbyqxmd.com/read/28213443/changes-in-appetitive-associative-strength-modulates-nucleus-accumbens-but-not-orbitofrontal-cortex-neuronal-ensemble-excitability
#19
Joseph Ziminski, Sabine Hessler, Gabriella Margetts-Smith, Meike C Sieburg, Hans S Crombag, Eisuke Koya
Cues that predict the availability of food rewards influence motivational states and elicit food-seeking behaviors. If a cue no longer predicts food availability, animals may adapt accordingly by inhibiting food seeking responses. Sparsely activated sets of neurons, coined neuronal ensembles, have been shown to encode the strength of reward-cue associations. While alterations in intrinsic excitability have been shown to underlie many learning and memory processes, little is known about these properties specifically on cue-activated neuronal ensembles...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28212416/the-variability-of-multisensory-processes-of-natural-stimuli-in-human-and-non-human-primates-in-a-detection-task
#20
Cécile Juan, Céline Cappe, Baptiste Alric, Benoit Roby, Sophie Gilardeau, Pascal Barone, Pascal Girard
BACKGROUND: Behavioral studies in both human and animals generally converge to the dogma that multisensory integration improves reaction times (RTs) in comparison to unimodal stimulation. These multisensory effects depend on diverse conditions among which the most studied were the spatial and temporal congruences. Further, most of the studies are using relatively simple stimuli while in everyday life, we are confronted to a large variety of complex stimulations constantly changing our attentional focus over time, a modality switch that can impact on stimuli detection...
2017: PloS One
keyword
keyword
9067
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"