AIMC Topic: Brain Mapping
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A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.
Neuroscience
Aug 8, 2015
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common type of dementia among older people. The number of patients with AD will grow rapidly each year and AD is the fifth leading cause of death for those aged 65 and ...
Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.
Computational intelligence and neuroscience
Jul 28, 2015
Nowadays the neuroscientific community is taking more and more advantage of the continuous interaction between engineers and computational neuroscientists in order to develop neuroprostheses aimed at replacing damaged brain areas with artificial devi...
Leveraging anatomical information to improve transfer learning in brain-computer interfaces.
Journal of neural engineering
Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity--A multi-center study.
Progress in neuro-psychopharmacology & biological psychiatry
Jul 4, 2015
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluctuations (0.01-0.08 Hz) have revealed atypical whole brain functional connectivity patterns in adolescents with autism spectrum disorder (ASD), and th...
Incorporating advanced language models into the P300 speller using particle filtering.
Journal of neural engineering
Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Brain-Computer Interfaces
Task Performance and Analysis
Event-Related Potentials, P300
Communication Devices for People with Disabilities
Word Processing
Natural Language Processing
Electroencephalography
Signal Processing, Computer-Assisted
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity
Models, Statistical
Brain Mapping
Machine Learning
Algorithms
Computer Simulation
Humans
A Model of Emergent Category-specific Activation in the Posterior Fusiform Gyrus of Sighted and Congenitally Blind Populations.
Journal of cognitive neuroscience
Jun 4, 2015
Theories about the neural bases of semantic knowledge tend between two poles, one proposing that distinct brain regions are innately dedicated to different conceptual domains and the other suggesting that all concepts are encoded within a single netw...
Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.
NeuroImage
May 15, 2015
Functional connectivity (FC) patterns obtained from resting-state functional magnetic resonance imaging data are commonly employed to study neuropsychiatric conditions by using pattern classifiers such as the support vector machine (SVM). Meanwhile, ...
In our own image? Emotional and neural processing differences when observing human-human vs human-robot interactions.
Social cognitive and affective neuroscience
Apr 23, 2015
Notwithstanding the significant role that human-robot interactions (HRI) will play in the near future, limited research has explored the neural correlates of feeling eerie in response to social robots. To address this empirical lacuna, the current in...
Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.
Neural networks : the official journal of the International Neural Network Society
Apr 20, 2015
The paper presents a methodology for the analysis of functional changes in brain activity across different conditions and different groups of subjects. This analysis is based on the recently proposed NeuCube spiking neural network (SNN) framework and...
Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning.
Translational psychiatry
Mar 17, 2015
Cognitive behavior therapy (CBT) is an effective treatment for social anxiety disorder (SAD), but many patients do not respond sufficiently and a substantial proportion relapse after treatment has ended. Predicting an individual's long-term clinical ...
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