Showing papers in "Journal of Neuroscience Methods in 2016"

TL;DR: This work provides users with simple methods for detecting and correcting problems in the image conversion process, and serves as an overview for developers who wish to either develop their own tools or adapt the open source tools created by the authors.

TL;DR: The DMD approach is validated on sub-dural electrode array recordings from human subjects performing a known motor task, and the resulting analysis combines key features of performing PCA in space and power spectral analysis in time, making it particularly suitable for analyzing large-scale neural recordings.

TL;DR: In this article, layer-wise relevance propagation (LRP) has been introduced as a novel method to explain individual network decisions, which can reveal neurophysiologically plausible patterns, resembling CSP-derived scalp maps.

TL;DR: Spectral features in the TQWT domain can discriminate sleep-EEG signals corresponding to various sleep states efficaciously and is significantly better than the existing ones in terms of accuracy and Cohen's kappa coefficient.

TL;DR: This paper reviews two chemically-induced TLE models, namely the kainic acid and pilocarpine models, which have been widely employed in basic epilepsy research and takes into consideration their behavioral, electroencephalographic and neuropathologic features.

TL;DR: Evidence is presented showing that neuroinflammation, characterized by the activation of microglia and astrocytes and elevated production of inflammatory mediators, is a critical process occurring in various TBI animal models, which provides a broad overview of commonly used animal models of TBI, and overviews representative techniques to quantify markers of the brain inflammatory process.

TL;DR: It is suggested that seizure prediction may work better in closed loop seizure control devices rather than as seizure advisory devices and the emergence of a large database of annotated long-term EEG recordings should help prospective assessment of prediction methods.

TL;DR: The intact skull preparation described here may be used for most longitudinal studies that do not require micron scale resolution and where cortical neural or vascular signals are recorded with intrinsic sensors or in transgenic mice expressing genetically encoded sensors of activity.

TL;DR: This review shows that models have progressively gained acceptance and are now considered as an efficient way of integrating structural, functional and pathophysiological data about neural systems into "coherent and interpretable views".

TL;DR: The fully trained classifier provides an alternative to automated methods that require multi-modal MRI data, additional control scans, or user interaction to achieve optimal performance and has applications in neuroimaging and clinical contexts.

TL;DR: It is reported how the GAERS, thanks to its spontaneous, highly recurrent and easily recognizable seizures on electroencephalographic recordings, allows to address several key-questions about the pathophysiology and genetics of absence epilepsy.

TL;DR: This work describes a method combining immunofluorescence assays with computerized image analysis to measure the mitochondrial morphology within neuritic projections of a specific population of neurons, finding that the method adequately detects differences in mitochondrial morphology between treatment groups.

TL;DR: Demodulated band transform is ideally suited to efficient estimation of both stationary and non-stationary spectral and cross-spectral statistics with minimal susceptibility to spectral leakage.

TL;DR: This report provides background information and recommendations aimed at minimising pain, suffering and distress in rodent models of epilepsy and seizures in order to improve animal welfare and optimise the quality of studies in this area.

TL;DR: The vicarious social defeat stress model is a novel paradigm capable of inducing emotional stress by isolating physical stress/confrontation in mice and can be used to study the short- and long-term neurobiological consequences of exposure to emotional stress in mice.

TL;DR: Moves based on single mean RTs tend to have acceptable levels of reliability and convergent validity, but are "impure" measures of specific executive functions.

TL;DR: By providing real-time estimates of the phase of ongoing EEG oscillations, the PLL can rapidly adjust to physiological changes, thus opening up new possibilities to study brain dynamics during sleep.

TL;DR: Just as with humans, the direction of the acceleration and rotational forces produced injuries in different networks and connections, resulting in altered functional deficits for rodents as well, suggesting that rodents are a valuable resource for the study of mTBI, when appropriately modelled.

TL;DR: The proposed method of synaptic protein clusters quantification exploits super-resolution imaging to provide a comprehensive approach to the analysis of postsynaptic density composition and strongly substantiate the benefits of colocalization-based synapse detection.

TL;DR: The presented method provides a valuable tool for evaluating the chronic inflammatory response and the performance of emerging implantable neural technologies.

TL;DR: Although not straightforward, when applied to brain signals, the features of MSE curves can be linked to their power content and provide information about both linear and nonlinear autocorrelations that are present therein.

TL;DR: The ability of high resolution mass spectrometry imaging (MSI) to assess sequences of responses of lipid species in a rat controlled cortical impact model for concussion is demonstrated.

TL;DR: The high accuracy and efficiency of the proposed SampEn-based feature extraction method makes it feasible to extend it to the development of a real-time EEG-based brain monitoring system for epileptic seizure prediction.

TL;DR: The presence of preictal cursor activity detected with state of the art time frequency and network analyses shows that spike-wave discharges are not caused by sudden and abrupt transitions but that there are detectable dynamic events that might yield new options for seizure prediction and seizure control.

TL;DR: The present data indicate that home cage wheel running is a clinically relevant method to assess inflammatory pain in the rat, and the decrease in activity caused by inflammatory pain and subsequent gradual recovery mimics the changes in activity cause by pain in humans.

TL;DR: This method developed head-fixation implements for awake mice that are applicable to fMRI using CryoProbe and would be beneficial for translational research using fMRI in mice and humans because human fMRI is typically performed without anesthetics.

TL;DR: Evaluation with real and simulated MEG signals shows that the method removes sensor-specific noise effectively, without removing or distorting signals of interest, which complements existing noise-reduction methods that target environmental or physiological noise.

TL;DR: Simulations revealed that a version of correlation without variance normalization - covariance - was able to isolate differences in shared signal, increasing interpretability of observed functional connectivity change.

TL;DR: This study presents a classifier for noninvasively classifying REM and NREM using a piezoelectric sensor, and suggests this approach could facilitate large-sample screening for genes influencing different sleep traits, besides drug studies or other manipulations.

TL;DR: This dual-frequency stimulation improved SSVEP recognition, increased the number of targets by employing harmonic frequencies, reduced the stimulation time for P300, and consequently improved ITR as compared to the conventional spellers.