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Evaluating Head Models for Cortical Source Localization of the Face-Sensitive N290 Component in Infants
Accurate cortical source localization of event-related potentials (ERPs) requires using realistic head models constructed from the participant’s...
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Driving fatigue detection based on brain source activity and ARMA model
Fatigue among drivers is a significant issue in society, and according to organizational reports, it substantially contributes to accidents. So...
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A Model to Study Time Lagged Interactions, Source Connectivity and Source Activities Using Multi-channel EEG
A computational model to examine time lagged interactions; identify number of interacting pairs of neuronal sources; and determine source activities...
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Biologically plausible single-layer networks for nonnegative independent component analysis
An important problem in neuroscience is to understand how brains extract relevant signals from mixtures of unknown sources, i.e., perform blind...
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Source Models
This chapter introduces the fundamental mathematical descriptions for the sources of EEG and MEG. Starting from the multipole expansions of the...
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Privacy-preserving multi-source semi-supervised domain adaptation for seizure prediction
Domain adaptation (DA) has been frequently used to solve the inter-patient variability problem in EEG-based seizure prediction. However, existing DA...
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EEG dynamic source imaging using a regularized optimization with spatio-temporal constraints
One of the most important needs in neuroimaging is brain dynamic source imaging with high spatial and temporal resolution. EEG source imaging...
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OpenHands: An Open-Source Statistical Shape Model of the Finger Bones
This paper presents statistical shape models of the four fingers of the hand, with an emphasis on anatomic analysis of the proximal and distal...
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Extracting the Invisible: Mesial Temporal Source Detection in Simultaneous EEG and SEEG Recordings
Epileptic source detection relies mainly on visual expertise of scalp EEG signals, but it is recognised that epileptic discharges can escape to this...
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The ‘bIUreactor’: An Open-Source 3D Tissue Research Platform
We developed the open-source bIUreactor research platform for studying 3D structured tissues. The versatile and modular platform allows a researcher...
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Dimensionality reduction beyond neural subspaces with slice tensor component analysis
Recent work has argued that large-scale neural recordings are often well described by patterns of coactivation across neurons. Yet the view that...
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EEGNet-based multi-source domain filter for BCI transfer learning
Deep learning has great potential on decoding EEG in brain-computer interface. While common deep learning algorithms cannot directly train models...
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Shedding Valuable Tears: Tear Fluid as a Promising Source of Disease Biomarkers
AbstractThe simplicity of collecting and evaluating tear fluid (TF) can potentially provide a convenient non-invasive diagnostic tool that easily...
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The N2pc Component in Studies of Visual Attention
This article reviews the literature on the nature and properties of the negative deviation of the N2pc event-related potentials. As a rule, this...
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Natural Pigments-Based Two-Component White Light Emitting Systems
In this paper, a new class of two component white light emitting systems viz, JaB (java plum + beetroot) {I} , and CaB (carrot + beetroot) {II} were...
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Visual Selective Attention P300 Source in Frontal-Parietal Lobe: ERP and fMRI Study
Visual selective attention can be achieved into bottom-up and top-down attention. Different selective attention tasks involve different attention...
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Electrical Source Imaging of Somatosensory Evoked Potentials from Intracranial EEG Signals
Stereoelectroencephalography (SEEG) records electrical brain activity with intracerebral electrodes. However, it has an inherently limited spatial...
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Motor imagery decoding using source optimized transfer learning based on multi-loss fusion CNN
Transfer learning is increasingly used to decode multi-class motor imagery tasks. Previous transfer learning ignored the optimizability of the source...
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Brain fiber structure estimation based on principal component analysis and RINLM filter
Diffusion magnetic resonance imaging is a technique for non-invasive detection of microstructure in the white matter of the human brain, which is...
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Evaluation of Rhododendri Mollis Flos and its representative component as a potential analgesic
Rhododendri Mollis Flos ( R. mole Flos), the dried flowers of Rhododendron mole G. Don, have the ability to relieve pain, dispel wind and dampness,...
