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Trust-based health decision-making recruits the neural interoceptive saliency network which relates to temporal trajectories of Hemoglobin A1C in Diabetes Type 1
Experimental approaches in neuroeconomics generally involve monetary utility. Utility in the health domain is relevant in diabetes because constant...
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Parahippocampal deactivation and hyperactivation of central executive, saliency and social cognition networks in autism spectrum disorder
BackgroundThe concomitant role of the Central Executive, the Saliency and the Social Cognition networks in autism spectrum disorder (ASD) in...
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Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data
Parkinson’s disease (PD) is the second most common neurodegenerative disease. Accurate PD diagnosis is crucial for effective treatment and prognosis...
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Pupillary responses to differences in luminance, color and set size
The pupil responds to a salient stimulus appearing in the environment, in addition to its modulation by global luminance. These pupillary responses...
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Saliency Subtraction Inspired Automated Event Detection in Underwater Environments
Unmanned underwater exploration in unconstrained environments is a challenging problem. Analysis of the large volumes of images/videos captured by...
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Reinstatement of nicotine conditioned place preference in a transgenerational model of drug abuse vulnerability in psychosis: Impact of BDNF on the saliency of drug associations
RationalePsychotic disorders such as schizophrenia are often accompanied by high rates of cigarette smoking, reduced quit success, and high relapse...
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Optic disc detection based on fully convolutional network and weighted matrix recovery model
AbstractEye diseases often affect human health. Accurate detection of the optic disc contour is one of the important steps in diagnosing and treating...
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EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and language skills in health...
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Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System
Although current research aims to improve deep learning networks by applying knowledge about the healthy human brain and vice versa, the potential of...
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Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design
Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying breast lesions in 2D ultrasound (US) images....
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Sex differences in the rapid detection of neutral faces associated with emotional value
BackgroundRapid detection of faces with emotional meaning is essential for understanding the emotions of others, possibly promoting successful...
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Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images
To develop a deep-learning system for the automatic identification of triple-negative breast cancer (TNBC) solely from ultrasound images. A total of...
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Stimulus (dis)similarity can modify the effect of a task-irrelevant sandwiching stimulus on the perceived duration of brief visual stimuli
The perceived duration of a target visual stimulus is shorter when a brief non-target visual stimulus precedes and trails the target than when it...
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The elephant in the room: attention to salient scene features increases with comedic expertise
What differentiates the joke writing strategy employed by professional comedians from non-comedians? Previous MRI work found that professional...
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Neuronal Response to Reward and Luminance in Macaque LIP During Saccadic Choice
Recent work in decision neuroscience suggests that visual saliency can interact with reward-based choice, and the lateral intraparietal cortex (LIP)...
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Guiding attention of faces through graph based visual saliency (GBVS)
In a general scenario, while attending a scene containing multiple faces or looking towards a group photograph, our attention does not go equal...
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Methods and Models of Eye-Tracking in Natural Environments
Mobile head-free eye-tracking is one of the most valuable methods we have in vision science for understanding the distribution and dynamics of...
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A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals
This study presents a method with high accuracy performance that aims to automatically detect schizophrenia (SZ) from electroencephalography (EEG)...
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Alexithymia characteristics are associated with salience network activity in healthy participants: an arterial spin labeling study
BackgroundAlexithymia, a personality trait characterized by difficulties in identifying and expressing their emotions despite having a range of...
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Landmarks in wayfinding: a review of the existing literature
Landmarks are accepted as one of the vital elements in both virtual and real environments during wayfinding tasks. This paper provides an overview of...