AIMC Topic: Functional Neuroimaging

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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system.

NeuroImage Jul 11, 2020
Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it: persistence (a cause o...
Humans Machine Learning Female Young Adult Cerebral Cortex Nerve Net Visual Perception Adaptation, Physiological Adult Male Functional Neuroimaging Magnetic Resonance Imaging Motion Perception
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The interplay between multisensory integration and perceptual decision making.

NeuroImage May 23, 2020
Facing perceptual uncertainty, the brain combines information from different senses to make optimal perceptual decisions and to guide behavior. However, decision making has been investigated mostly in unimodal contexts. Thus, how the brain integrates...
Signal Detection, Psychological Young Adult Adult Male Models, Theoretical Electroencephalography Humans Decision Making Supervised Machine Learning Female Cerebral Cortex Psychomotor Performance Concept Formation Pattern Recognition, Visual Auditory Perception Functional Neuroimaging
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Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder.

Computational and mathematical methods in medicine May 18, 2020
Deep neural networks have recently been applied to the study of brain disorders such as autism spectrum disorder (ASD) with great success. However, the internal logics of these networks are difficult to interpret, especially with regard to how specif...
Connectome Databases, Factual Autism Spectrum Disorder Humans Case-Control Studies Neural Networks, Computer Support Vector Machine Deep Learning Magnetic Resonance Imaging Functional Neuroimaging Linear Models Computational Biology
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The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.

NeuroImage Feb 18, 2020
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist bet...
Support Vector Machine Video Recording Pleasure Nerve Net Auditory Perception Music Temporal Lobe Adult Male Spectroscopy, Near-Infrared Functional Neuroimaging Humans Female Young Adult
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A comparison of fMRI and behavioral models for predicting inter-temporal choices.

NeuroImage Feb 18, 2020
In an inter-temporal choice (IteCh) task, subjects are offered a smaller amount of money immediately or a larger amount at a later time point. Here, we are using trial-by-trial fMRI data from 363 recording sessions and machine learning in an attempt ...
Support Vector Machine Follow-Up Studies Magnetic Resonance Imaging Psychomotor Performance Male Functional Neuroimaging Adolescent Models, Theoretical Gray Matter Models, Psychological Adolescent Development Delay Discounting Humans Female
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Instructor-learner brain coupling discriminates between instructional approaches and predicts learning.

NeuroImage Feb 15, 2020
The neural mechanisms that support naturalistic learning via effective pedagogical approaches remain elusive. Here we used functional near-infrared spectroscopy to measure brain activity from instructor-learner dyads simultaneously during dynamic con...
Humans Machine Learning Learning Female Young Adult Social Interaction Adult Social Learning Spectroscopy, Near-Infrared Functional Neuroimaging Cerebral Cortex
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Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

Journal of neural engineering Dec 16, 2019
OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its neurobiology remains unsolve...
Machine Learning Brain Female Adult Spectroscopy, Near-Infrared Functional Neuroimaging Brain Mapping Male Pain Threshold Humans Middle Aged Predictive Value of Tests Medically Unexplained Symptoms Pain Measurement Electroencephalography Nerve Net
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Machine learning: assessing neurovascular signals in the prefrontal cortex with non-invasive bimodal electro-optical neuroimaging in opiate addiction.

Scientific reports Dec 4, 2019
Chronic and recurrent opiate use injuries brain tissue and cause serious pathophysiological changes in hemodynamic and subsequent inflammatory responses. Prefrontal cortex (PFC) has been implicated in drug addiction. However, the mechanism underlying...
Functional Neuroimaging Humans Pilot Projects Machine Learning Heroin Dependence Female Adult Male Middle Aged Prefrontal Cortex
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Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.

NeuroImage Oct 29, 2019
Determining the level of consciousness in patients with disorders of consciousness (DOC) remains challenging. To address this challenge, resting-state fMRI (rs-fMRI) has been widely used for detecting the local, regional, and network activity differe...
Support Vector Machine Magnetic Resonance Imaging Humans Anesthesia, General Neural Networks, Computer Young Adult Wakefulness Machine Learning Adult Middle Aged Brain Male Conscious Sedation Rest Functional Neuroimaging Deep Sedation Unconsciousness Female Adolescent Persistent Vegetative State Child Aged Consciousness Disorders
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Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction.

PloS one Oct 23, 2019
BACKGROUND: Robust Artificial-neural-networks for k-space Interpolation (RAKI) is a recently proposed deep-learning-based reconstruction algorithm for parallel imaging. Its main premise is to perform k-space interpolation using convolutional neural n...
Functional Neuroimaging Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Phantoms, Imaging Algorithms Deep Learning
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