AIMC Topic: Brain Mapping
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Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.
NeuroImage
Oct 23, 2018
An artificial neural network with multiple hidden layers (known as a deep neural network, or DNN) was employed as a predictive model (DNN) for the first time to predict emotional responses using whole-brain functional magnetic resonance imaging (fMRI...
Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: a multimodal neuroimaging approach.
Psychological medicine
Oct 11, 2018
BACKGROUND: The field of psychiatry would benefit significantly from developing objective biomarkers that could facilitate the early identification of heterogeneous subtypes of illness. Critically, although machine learning pattern recognition method...
Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts.
NeuroImage
Oct 11, 2018
Neurofeedback requires a direct translation of neuronal brain activity to sensory input given to the user or subject. However, decoding certain states, e.g., mindfulness or wandering thoughts, from ongoing brain activity remains an unresolved problem...
The importance of recurrent top-down synaptic connections for the anticipation of dynamic emotions.
Neural networks : the official journal of the International Neural Network Society
Oct 9, 2018
Different studies have shown the efficiency of a feed-forward neural network in categorizing basic emotional facial expressions. However, recent findings in psychology and cognitive neuroscience suggest that visual recognition is not a pure bottom-up...
Scan-specific robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction: Database-free deep learning for fast imaging.
Magnetic resonance in medicine
Sep 18, 2018
PURPOSE: To develop an improved k-space reconstruction method using scan-specific deep learning that is trained on autocalibration signal (ACS) data.
Phantoms, Imaging
Heart
Image Interpretation, Computer-Assisted
Image Enhancement
Radionuclide Imaging
Deep Learning
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Brain Mapping
Neural Networks, Computer
Algorithms
Databases, Factual
Brain
Adult
Male
Middle Aged
Female
Young Adult
Humans
Regularized aggregation of statistical parametric maps.
Human brain mapping
Sep 5, 2018
Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of group-level analyses of functional magnetic resonance imaging data. Brain maps are usually combined using a simple average across subjects, making them ...
Creatures great and small: Real-world size of animals predicts visual cortex representations beyond taxonomic category.
NeuroImage
Aug 29, 2018
Human occipitotemporal cortex contains neural representations for a variety of perceptual and conceptual features. We report a study examining neural representations of real-world size along the visual ventral stream, while carefully accounting for t...
Image categorization from functional magnetic resonance imaging using functional connectivity.
Journal of neuroscience methods
Aug 23, 2018
BACKGROUND: Previous studies have attempted to infer the category of objects in a stimulus image from functional magnetic resonance imaging (fMRI) data recoded during image-viewing. Most studies focus on extracting activity patterns within a given re...
Using person-specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones.
The International journal of eating disorders
Aug 21, 2018
OBJECTIVE: Emotional eating has been linked to ovarian hormone functioning, but no studies to-date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions o...
Robot-guided pediatric stereoelectroencephalography: single-institution experience.
Journal of neurosurgery. Pediatrics
Aug 17, 2018
OBJECTIVEStereoelectroencephalography (SEEG) has increased in popularity for localization of epileptogenic zones in drug-resistant epilepsy because safety, accuracy, and efficacy have been well established in both adult and pediatric populations. Dev...
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