Showing papers in "Journal of Neuroscience Methods in 2012"

TL;DR: In this paper, the authors proposed a template-based approach to match cortical landmarks of different subjects, which allows the selection of identical cortical regions of interest of desired size and location in different subjects with identification of the associated fiber tracts.

TL;DR: A number of multivariate methods appearing in previous multimodal fusion reports, mostly fMRI with other modality, which were performed with or without prior information are surveyed.

TL;DR: A novel method for the study of repetitive mild traumatic brain injury (rmTBI) that models the most common form of head injury in humans is presented and is ideal for high throughput screening of potential new therapies for mild concussive injuries as experienced by athletes and military personnel.

TL;DR: Through preliminary offline experiments and online experiments, it is confirmed that human SSVEPs elicited by visual flickering stimuli with a frequency resolution of 0.1 Hz could be classified with classification accuracy high enough to be used for a practical brain-computer interface (BCI) system.

TL;DR: Results show that the proposed epilepsy detection approach achieves not only high detection accuracy but also a very fast computation speed, which demonstrates its huge potential for the real-time detection of epileptic seizures.

TL;DR: The honey bee Apis mellifera has emerged as a robust and influential model for the study of classical conditioning thanks to the existence of a powerful Pavlovian conditioning protocol, the olfactory conditioning of the proboscis extension response (PER), and here a standardized framework for experiments using this behavioral protocol is defined.

TL;DR: It is shown that acausal high-pass filtering can generate a systematic bias easily leading to misinterpretations of neural activity, and that the early ERP component C1 is very sensitive to such effects.

TL;DR: This study examined the effect of group-size in the shoaling paradigm, and evaluated the ability of novel video-tracking tools to accurately track an entire shoal, compared to traditional manual analysis of shoaling phenotypes, demonstrating the capacity of video- tracking technology to assess zebrafish shoaling in a high-throughput and reliable manner.

TL;DR: This work reviews both formal and informal descriptions of a range of connectivity measures, suitable for the analysis of human brain electrophysiological data, principally electro- and magnetoencephalography, and introduces a novel set of cross-time-frequency measures.

TL;DR: In conclusion, maps of FDI muscle obtained at rest and during active contraction are very similar to each other in healthy individuals when differences in MT are taken into account.

TL;DR: The regional Fuzzy SLs discovered in this research can be used as reliable markers in neurofeedback treatments to improve neuronal plasticity and connectivity in autistic patients.

TL;DR: NTMS combined with synchronized video recording provides an accurate monitoring tool of behavioral TMS experiments, and complete anomias, semantic, phonological and performance errors were observed during nTMS of left fronto-parieto-temporal cortical regions.

TL;DR: This work developed a FACS procedure for dissociating intact cell bodies from adult wild-type rat brains and sorting them using commercially available antibodies against intracellular and extracellular proteins and allows rapid, high-throughput, quantitative assays of molecular alterations in identified cell types with widespread applications in neuroscience.

TL;DR: REST-GCA was implemented on MATLAB as a graphical user interface (GUI) toolkit and tested the causal effect of the right frontal-insular cortex onto each voxel in the whole brain, and the transformation from F to F' and the further standardization from F' to Z score substantially improved the normality.

TL;DR: A new measure to quantify circular-linear associations is introduced that leads to a robust estimate of the slope and phase offset of the regression line, and it provides a correlation coefficient for circular- linear data that is a natural analog of Pearson's product-moment correlation coefficientFor linear-linear data.

TL;DR: The overall agreement and kappa coefficient of the proposed method applied to the all night polysomnography (PSG) of seventeen healthy subjects compared with the manual scorings by R&K rules can reach 86.68% and 0.79, respectively.

TL;DR: An inexpensive but effective visual stimulator based on light emitting diodes (LEDs) and open-source Arduino microcontroller prototyping platform and to reduce design complexity allowing use of the system to end-users without advanced electronics skills is presented.

TL;DR: IUE is combined with a binary piggyBac transposon system (PB-IUE), and it is shown that unlike conventional IUE, a single embryonic transfection of neocortical radial glia with a piggybac transPOSon system results in stable transgene expression in the neural lineage of radial glianes.

TL;DR: The electrophysiological monetary incentive delay task (e-MID) is used to decompose the neural response to reinforcement anticipation, reinforcement-contingent target processing and feedback and provides a valuable complement to fMRI-based approaches to studying normal and abnormal brain correlates of reinforcement processing.

TL;DR: Autoregressive (AR) models are used for feature extraction and characterization of EEG signals containing several kinds of subject-generated artifacts, suggesting that AR modeling can be a useful tool for discriminating among artifact signals both within and across individuals.

TL;DR: This work has shown that sparse neurons are strongly affected by the maximum number of correctly identified neurons in Spike sorting algorithms, so further development of algorithms is needed to address sparse neurons detection.

TL;DR: Results show that this new hybrid approach to BCI for continuous simultaneous two dimensional cursor control is viable for some users, and that substantial further research is needed to identify and optimize the best BCIs for each user.

TL;DR: It is suggested that objective home monitoring of PD motor fluctuations is feasible and should be considered as a viable adjunct tool to provide insight into PD motor symptom response to treatment.

TL;DR: This work calculated CMC between sensorimotor cortex EEG and EMG of two hand muscles during a key grip task in 14 healthy subjects and demonstrated that rectification is neither necessary nor appropriate in the calculation of CMC.

TL;DR: The data show that impedance measurement is a convenient and reliable method for the detection of proliferation and kinetics of cell death in neuronal cell lines, whereas this method is less suitable for the assessment of neuronal differentiation and viability of primary neurons.

TL;DR: A "combined" BCI based on P300 potentials and motion-onset visual evoked potentials (M-VEPs) is introduced and compared with BCIs based on each simple approach (P300 and M-VEP) to confirm that the combined approach is practical in an online BCI and yielded better performance than the other two approaches.

TL;DR: A three-step strategy to automatically build reduced models of layer 5 pyramidal neurons that closely reproduce experimental data and can be applied to construct families of models of different neuron types, with applications ranging from the study of information processing in single neurons to realistic simulations of large-scale network dynamics.

TL;DR: Test the performance of a synchronicity estimator widely applied in Neuroscience, phase lag index (PLI), for brain network inference in EEG shows that PLI is partially invariant to volume conduction, indicating that the high clustering shown by PLI networks are caused byVolume conduction.

TL;DR: This work has developed a wireless neural recording technique that is capable of collecting single-unit data from chronically implanted multi-electrodes in freely moving marmosets and demonstrates the feasibility of using this method to study single neuron activity in freely roaming primates.

TL;DR: This paper proposes a fully automated method of interictal spike detection that adapts to interpatient and intrapatient variation in spike morphology and shows little difference compared to the manual scoring of another expert for the spike-and-wave index evaluation in 17 additional records.