AIMC Topic: Brain Mapping
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Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.
eNeuro
Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Resting-state anticorrelated networks in Schizophrenia.
Psychiatry research. Neuroimaging
Dec 25, 2018
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correlated brain networks have been well researched, anticorrelated functional connectivity remains under ...
MRI-compatible pneumatic stimulator for sensorimotor mapping.
Journal of neuroscience methods
Dec 19, 2018
BACKGROUND: Two major concerns with respect to task-based motor functional magnetic resonance imaging (fMRI) are inadequate participants' performance as well as intra- and inter-subject variability in execution of the motor action.
An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.
Human brain mapping
Dec 13, 2018
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regress...
Recent Advances in Brain Signal Analysis: Methods and Applications 2018.
Computational intelligence and neuroscience
Dec 9, 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
We develop three efficient approaches for generating visual explanations from 3D convolutional neural networks (3D-CNNs) for Alzheimer's disease classification. One approach conducts sensitivity analysis on hierarchical 3D image segmentation, and the...
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.
Nature communications
Dec 3, 2018
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherap...
Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning.
Magnetic resonance in medicine
Nov 12, 2018
PURPOSE: Breast cancer (BC) is the most common cancer in women worldwide. There exist various advanced chemotherapy drugs for BC; however, chemotherapy drugs may result in brain damage during treatment. When a patient's brain is changed in response t...
Automatic brain labeling via multi-atlas guided fully convolutional networks.
Medical image analysis
Nov 1, 2018
Multi-atlas-based methods are commonly used for MR brain image labeling, which alleviates the burdening and time-consuming task of manual labeling in neuroimaging analysis studies. Traditionally, multi-atlas-based methods first register multiple atla...
Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine Learning.
Neuroscience
Oct 28, 2018
Individuals show marked variability in determining to be honest or deceptive in daily life. A large number of studies have investigated the neural substrates of deception; however, the brain networks contributing to the individual differences in dece...
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