Showing papers in "Journal of Neuroscience Methods in 2010"

TL;DR: A deconvolution approach is proposed, which separates SC data into continuous signals of tonic and phasic activity, which shows a zero baseline, and overlapping SCRs are represented by predominantly distinct, compact impulses showing an average duration of less than 2 s.

TL;DR: FASTER (Fully Automated Statistical Thresholding for EEG artifact Rejection) had >90% sensitivity and specificity for detection of contaminated channels, eye movement and EMG artifacts, linear trends and white noise, and aggregates the ERP across subject datasets, and detects outlier datasets.

TL;DR: The current version of Chronux includes software for signal processing of neural time-series data including several specialized mini-packages for spike-sorting, local regression, audio segmentation, and other data-analysis tasks typically encountered by a neuroscientist.

TL;DR: A freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for performing this analysis on a variety of neuroscience data types including neuroelectric, neuromagnetic, functional MRI, and other neural signals.

TL;DR: An open source Matlab program, the ERP PCA (EP) Toolkit, is presented, intended to supplement existing ERP analysis programs by providing functions for conducting artifact correction, robust averaging, referencing and baseline correction, data editing and visualization, principal components analysis, and robust inferential statistical analysis.

TL;DR: A computerized battery that takes an average of 1h and provides measures of accuracy and speed on 9 neurocognitive domains is presented and initial criterion validity was demonstrated by sensitivity to sex differences and the effects of age, education and parental education.

TL;DR: A novel method for automatic epileptic seizure detection is presented, which uses line length features based on wavelet transform multiresolution decomposition and combines with an artificial neural network (ANN) to classify the EEG signals regarding the existence of seizure or not.

TL;DR: The modified rotarod test would be useful for evaluation of dopamine involvement in the acquisition of motor skill learning, and impaired learning of Parkin-deficit mice is found, which has not been detected in typical acceleratingRotarod.

TL;DR: A novel method for automatic epileptic seizure detection is presented, which uses approximate entropy features derived from multiwavelet transform and combines with an artificial neural network to classify the EEG signals regarding the existence or absence of seizure.

TL;DR: The details of, and the rationale for, an operationalized fMRI data denoising procedure that involves visual inspection of ICs (96% inter-rater agreement) are described and it is estimated that dozens of subjects/sessions can be processed within a few hours using the described method of visual inspection.

TL;DR: This work reviews the current methods enabling structural connectivity mapping with MRI and shows how such data can be used to infer new information of both brain structure and function and lists the technical challenges that should be addressed in the future to achieve high-resolution maps of structural connectivity.

TL;DR: A method based on a preoperative magnetic resonance imaging (MRI) coregistered with a post-implantation CT scan to localize the electrodes and that automatically corrects for the brain shift by projecting the electrodes to the surface of the cortex is presented.

TL;DR: The results from both analyses showed robust RSFC maps, which were not only consistent with the localizer task-related activation results, but also those of previous fMRI findings, which validated the use of fNIRS to assess RSFC.

TL;DR: High-definition tDCS (HD-tDCS) is a technique used to increase the spatial focality of tDCS by passing current across the scalp using <12 mm diameter electrodes, and "high-definition" electrode-gel parameters for electrode durability, skin safety and subjective pain are designed and optimized.

TL;DR: This study evaluated the generation of N2a dopamine neurons following treatment with a number of factors known to induce neuronal differentiation and provided a simple and reliable method to generate dopamine neurons for rapid and efficient physiological and pharmacological assays.

TL;DR: This review will highlight and contrast the different properties of these viral tracers, and summarize the methodological issues that are critical for the appropriate execution and interpretation of transneuronal tracing studies.

TL;DR: This atlas is the first high-resolution three-dimensional digital atlas in stereotaxic coordinates of the brain of a female domestic pig and should be a useful tool for intersubject normalization in anatomical imaging as well as for precisely localizing brain areas in functional MR studies or electrode implantation trials.

TL;DR: The present study has demonstrated the feasibility of assessing functional connectivity in conscious animals using fMRI and thus provided a convenient and non-invasive tool to systematically investigate the connectional architecture of selected brain networks in multiple animal models.

TL;DR: A Neuroelectromagnetic Forward Head Modeling Toolbox (NFT) running under MATLAB for generating realistic head models from available data (MRI and/or electrode locations) and for computing numerical solutions for the forward problem of electromagnetic source imaging is introduced.

TL;DR: The injected charge and charge density per phase were found to play synergistic role in damaging the electrodes and SIROF showed higher damage threshold and therefore is highly recommended to be used as a stimulation material.

TL;DR: All network scores remained highly significant even after nine previous sessions despite some practice effects in the executive and the orienting networks, and some lack of independence among the networks was found.

TL;DR: A time-dependent characterization of brain connectivity by investigating functional segregation and integration was attempted, revealing the dynamic small-world character of the brain's functional connectivity, which otherwise can be hidden from estimators that rely on either long or stringent time-windows.

TL;DR: Eight different signal processing methods that aimed to improve classification accuracy were explored and showed that the improved methods described here yielded a statistically significant improvement over the initial data, suggesting that such a hybrid BCI is feasible.

TL;DR: The amplitude cross-correlation method is compared to partial directed coherence, a commonly used multivariate autoregressive model-dependent method, and finds that the former is more robust to the effects of noise.

TL;DR: It was found that this method significantly improves the model-fitting over the classical GLM, for hidden dimensions varying from 1 to 4, and provides more accurate decoding of hand state, while retaining real-time computational efficiency.

TL;DR: It is found that adult microglia have similar, but not identical, immuno-phenotypic, functional and electrophysiological characteristics to the other in vitro models.

TL;DR: The results indicate that ANFIS time-series prediction together with MFFV features is a promising method in MI classification, which is estimated with classification accuracy and the area under the receiver operating characteristics curve (AUC) on six subjects from two data sets.

TL;DR: An integrated set of software tools, named SARFIA, is developed by which these aspects of dynamic imaging experiments can be analysed semi-automatically, and used to analyse synaptic activity in the retina of live zebrafish by multi-photon imaging of SyGCaMP2, a genetically encoded synaptically localised calcium reporter.

TL;DR: This study demonstrates that TTC-stained tissues in stroke animal models can be used for quantitative gene and protein expression analyses without constriction and pathomechanisms of ongoing tissue damage within the penumbra region can now be investigated in detail.

TL;DR: A segmental thoracic spinal cord hemisection was created and characterized in the African green monkey to robustly evaluate longitudinal changes in neuromotor function in the setting in the presence and absence of intervention and justify invasive telemetered electromyographic and kinematic studies to more definitively address efficacy and mechanism.