AIMC Topic: Brain Mapping

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BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.

NeuroImage Sep 28, 2016
We propose BrainNetCNN, a convolutional neural network (CNN) framework to predict clinical neurodevelopmental outcomes from brain networks. In contrast to the spatially local convolutions done in traditional image-based CNNs, our BrainNetCNN is compo...
Neural Pathways Diffusion Tensor Imaging Infant, Premature, Diseases Neurodevelopmental Disorders Infant, Newborn Male Brain Mapping Infant, Premature Humans Neural Networks, Computer Brain Female
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Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning.

Human brain mapping Sep 13, 2016
Previous studies have suggested that disorders of consciousness (DOC) after severe brain injury may result from disconnections of the thalamo-cortical system. However, thalamo-cortical connectivity differences between vegetative state (VS), minimally...
Humans Male Middle Aged Adolescent Imaging, Three-Dimensional Brain Mapping Machine Learning Female Aged Young Adult Adult Diffusion Tensor Imaging Consciousness Disorders Cerebral Cortex Neural Pathways Statistics, Nonparametric Thalamus
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Effects of adaptation on numerosity decoding in the human brain.

NeuroImage Sep 10, 2016
Psychophysical studies have shown that numerosity is a sensory attribute susceptible to adaptation. Neuroimaging studies have reported that, at least for relatively low numbers, numerosity can be accurately discriminated in the intra-parietal sulcus....
Adult Psychophysics Male Support Vector Machine Humans Pattern Recognition, Automated Magnetic Resonance Imaging Female Adaptation, Physiological Brain Mapping Young Adult Mathematical Concepts Parietal Lobe Pattern Recognition, Visual
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Believing androids - fMRI activation in the right temporo-parietal junction is modulated by ascribing intentions to non-human agents.

Social neuroscience Sep 2, 2016
Attributing mind to interaction partners has been shown to increase the social relevance we ascribe to others' actions and to modulate the amount of attention dedicated to them. However, it remains unclear how the relationship between higher-order mi...
Adult Male Adolescent Eye Movements Magnetic Resonance Imaging Humans Female Young Adult Temporal Lobe Theory of Mind Motion Perception Attitude to Computers Social Perception Brain Mapping Robotics Attention Neuropsychological Tests Parietal Lobe
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Epileptic Focus Localization Using Discrete Wavelet Transform Based on Interictal Intracranial EEG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 30, 2016
Over the past decade, with the development of machine learning, discrete wavelet transform (DWT) has been widely used in computer-aided epileptic electroencephalography (EEG) signal analysis as a powerful time-frequency tool. But some important probl...
Signal Processing, Computer-Assisted Pattern Recognition, Automated Sensitivity and Specificity Humans Wavelet Analysis Diagnosis, Computer-Assisted Algorithms Nerve Net Brain Mapping Brain Electroencephalography Reproducibility of Results Epilepsy
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A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 25, 2016
In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable roboti...
Brain Mapping Elastic Modulus Robotics Brain-Computer Interfaces Humans Equipment Design Equipment Failure Analysis Brain Hand Exoskeleton Device Reproducibility of Results Artificial Limbs Neurological Rehabilitation Sensitivity and Specificity Magnetic Resonance Imaging
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 17, 2016
Motor imagery classification is an important topic in brain-computer interface (BCI) research that enables the recognition of a subject's intension to, e.g., implement prosthesis control. The brain dynamics of motor imagery are usually measured by el...
Reproducibility of Results Sensitivity and Specificity Brain Mapping Electroencephalography Signal Processing, Computer-Assisted Intention Pattern Recognition, Automated Brain-Computer Interfaces Movement Fourier Analysis Humans Neural Networks, Computer Machine Learning Algorithms Evoked Potentials, Motor Motor Cortex Imagination
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EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 2, 2016
Two key ingredients of a successful neuro-rehabilitative intervention have been identified as intensive and repetitive training and subject's active participation, which can be coupled in an active robot-assisted training. To exploit these two elemen...
Electroencephalography Cerebral Cortex Movement Man-Machine Systems Patient Participation Volition Neurological Rehabilitation Female Adult Male Humans Brain Mapping Robotics
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Neural correlates of motor recovery after robot-assisted stroke rehabilitation: a case series study.

Neurocase Aug 2, 2016
Robot-assisted bilateral arm therapy (RBAT) has shown promising results in stroke rehabilitation; however, connectivity mapping of the sensorimotor networks after RBAT remains unclear. We used fMRI before and after RBAT and a dose-matched control int...
Psychomotor Performance Neural Pathways Functional Laterality Movement Stroke Rehabilitation Brain Mapping Recovery of Function Robotics Hand Humans Stroke Middle Aged Adult Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Models, Neurological
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Accuracy of automated classification of major depressive disorder as a function of symptom severity.

NeuroImage. Clinical Jul 27, 2016
BACKGROUND: Growing evidence documents the potential of machine learning for developing brain based diagnostic methods for major depressive disorder (MDD). As symptom severity may influence brain activity, we investigated whether the severity of MDD ...
Psychiatric Status Rating Scales Support Vector Machine Magnetic Resonance Imaging Brain Mapping Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Male Algorithms Depressive Disorder, Major Brain Severity of Illness Index Female Adult
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