Read by QxMD icon Read

Journal of Neuroscience Methods

Morteza Behnam, Hossein Pourghassem
BACKGROUND: EEG signal analysis of pediatric patients plays vital role for making a decision to intervene in presurgical stages. NEW METHOD: In this paper, an offline seizure detection algorithm based on definition of a seizure-specific wavelet (Seizlet) is presented. After designing the Seizlet, by forming cone of influence map of the EEG signal, four types of layouts are analytically designed that are called Seizure Modulus Maximas Patterns (SMMP). By mapping CorrEntropy Induced Metric (CIM) series, four structural features based on least square estimation of fitted non-tilt conic ellipse are extracted that are called CorrEntropy Ellipse Features (CEF)...
October 18, 2016: Journal of Neuroscience Methods
Yuandong Li, Woo June Choi, Wan Qin, Utku Baran, Lauren M Habenicht, Ruikang K Wang
BACKGROUND: Arteriogenesis describes the active growth of the pre-existing collateral arterioles, which is a crucial tissue-saving process in occlusive vascular diseases. NEW METHOD: We propose to use optical coherence tomography (OCT)-based microangiography (OMAG) to monitor arteriogenesis following artery transection in mouse ear and focal stroke in mouse brain. RESULTS: Our longitudinal mouse ear study shows that the growth phase of arteriogenesis, indicated by changes in collateral vessel diameter and velocity, occurs between 12-24hours after vessel occlusion...
October 14, 2016: Journal of Neuroscience Methods
Alberto Ferrari, Mario Comelli
BACKGROUND: In behavioral research, data consisting of a per-subject proportion of "successes" and "failures" over a finite number of trials often arise. This clustered binary data are usually non-normally distributed, which can distort inference if the usual general linear model is applied and sample size is small. A number of more advanced methods is available, but they are often technically challenging and a comparative assessment of their performances in behavioral setups has not been performed...
October 14, 2016: Journal of Neuroscience Methods
Samuel A Neymotin, Zoe N Talbot, Jeeyune Q Jung, André A Fenton, William W Lytton
BACKGROUND: Correlated neuronal activity in the brain is hypothesized to contribute to information representation, and is important for gauging brain dynamics in health and disease. Due to high dimensional neural datasets, it is difficult to study temporal variations in correlation structure. NEW METHOD: We developed a multiscale method, Population Coordination (PCo), to assess neural population structure in multiunit single neuron ensemble and multi-site local field potential (LFP) recordings...
October 13, 2016: Journal of Neuroscience Methods
R Rabl, A Horvath, C Breitschaedel, S Flunkert, H Roemer, B Hutter-Paier
BACKGROUND: Evaluation of motor deficits in rodents is mostly restricted to limb motor tests that are often high stressors for the animals. NEW METHOD: To test rodents for orofacial motor impairments in a stress-free environment, we established the pasta gnawing test by measuring the biting noise of mice that eat a piece of spaghetti. Two parameters were evaluated, the biting speed and the biting peaks per biting episode. To evaluate the power of this test compared to commonly used limb motor and muscle strength tests, three mouse models of Parkinson's disease, amyotrophic lateral sclerosis and Niemann pick disease were tested in the pasta gnawing test, RotaRod and wire suspension test...
October 13, 2016: Journal of Neuroscience Methods
Irene Sturm, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller
BACKGROUND: In cognitive neuroscience the potential of Deep Neural Networks (DNNs) for solving complex classification tasks is yet to be fully exploited. The most limiting factor is that DNNs as notorious 'black boxes' do not provide insight into neurophysiological phenomena underlying a decision. Layer-wise Relevance Propagation (LRP) has been introduced as a novel method to explain individual network decisions. NEW METHOD: We propose the application of DNNs with LRP for the first time for EEG data analysis...
October 13, 2016: Journal of Neuroscience Methods
Alejandro Lopez Rincon, Shingo Shimoda
BACKGROUND: Acquiring information about the distribution of electrical sources in the brain from electroencephalography (EEG) data remains a significant challenge. An accurate solution would provide an understanding of the inner mechanisms of the electrical activity in the brain and information about damaged tissue. NEW METHOD: In this paper, we present a methodology for reconstructing brain electrical activity from EEG data by using the bidomain formulation. The bidomain model considers continuous active neural tissue coupled with a nonlinear cell model...
October 10, 2016: Journal of Neuroscience Methods
Anna Brancato, Gianluca Lavanco, Angela Cavallaro, Fulvio Plescia, Carla Cannizzaro
BACKGROUND: Emotionally salient experiences induce the formation of explicit memory traces, besides eliciting automatic or implicit emotional memory in rodents. This study aims at investigating the implementation of a novel task for studying the formation of limbic memory engrams as a result of the acquisition- and retrieval- of fear-conditioning - biased declarative memory traces, measured by animal discrimination of an "emotional-object". Moreover, by using this new method we investigated the potential interactions between stimulation of cannabinoid transmission and integration of emotional information and cognitive functioning...
October 6, 2016: Journal of Neuroscience Methods
Kenneth R Paap, Sawi Oliver
BACKGROUND: Studies testing for individual or group differences in executive functioning can be compromised by unknown test-retest reliability. NEW METHOD: Test-retest reliabilities across an interval of about one week were obtained from performance in the antisaccade, flanker, Simon, and color-shape switching tasks. There is a general trade-off between the greater reliability of single mean RT measures, and the greater process purity of measures based on contrasts between mean RTs in two conditions...
October 6, 2016: Journal of Neuroscience Methods
Julie Ry Gustafsson, Georgia Katsioudi, Shohreh Issazadeh-Navikas, Birgitte Rahbek Kornum
BACKGROUND: Efficient and specific knockdown of proteins in post-mitotic cells such as differentiated neurons can be difficult to achieve. Further, special care must be taken to maintain the health of neurons in vitro. We wanted to achieve knockdown in primary cerebellar granule neurons, which can be effectively grown in Neurobasal™ media. NEW METHOD: We tested the efficiency of siRNA from the Accell range from Dharmacon™ when delivered in Neurobasal™ media in contrast to the recommended Accell Delivery media provided by the manufacturer...
October 4, 2016: Journal of Neuroscience Methods
Michail Koutris, Kemal S Türker, Jacobus J van der Weijden, Maurits K A van Selms, Frank Lobbezoo
BACKGROUND: For the analysis of inhibitory reflexes, no consensus exists regarding the methodology that should be used. The most commonly used methods are the cumulative sum (CUSUM) error box and the t-test. The aim of this study was to assess the interexaminer reliability of those two analyzing methods and to test whether both methods: yield similar results. METHODS: Inhibitory jaw reflexes were recorded from the right masseter muscle of 11 participants (6 males, 5 females)...
October 4, 2016: Journal of Neuroscience Methods
Keitaro Yoshida, Yu Mimura, Ryosuke Ishihara, Hiroshi Nishida, Yuji Komaki, Tomohito Minakuchi, Tomokazu Tsurugizawa, Masaru Mimura, Hideyuki Okano, Kenji F Tanaka, Norio Takata
BACKGROUND: Functional magnetic resonance imaging (fMRI) in mice is typically performed under anesthesia due to difficulties in holding the head of awake mice stably with a conventional three-point fixation method that uses a tooth-bar and earplugs. Although some studies have succeeded in fMRI in awake mice by attaching a head-post on the skull, this cannot be applied to fMRI using a high signal-to-noise ratio (SNR) cryogenic MRI-detector, CryoProbe, because it covers the head of a mouse closely...
October 1, 2016: Journal of Neuroscience Methods
Ahmad Mayeli, Vadim Zotev, Hazem Refai, Jerzy Bodurka
BACKGROUND: Simultaneous acquisition of EEG and fMRI data results in EEG signal contamination by imaging (MR) and ballistocardiogram (BCG) artifacts. Artifact correction of EEG data for real-time applications, such as neurofeedback studies, is the subject of ongoing research. To date, average artifact subtraction (AAS) is the most widespread real-time method used to partially remove BCG and imaging artifacts without requiring extra hardware equipment; no alternative software-only real time methods for removing EEG artifacts are available...
September 30, 2016: Journal of Neuroscience Methods
Linnéa Larsson, Andrea Schwaller, Marcus Nyström, Martin Stridh
BACKGROUND: The complexity of analyzing eye-tracking signals increases as eye-trackers become more mobile. The signals from a mobile eye-tracker are recorded in relation to the head coordinate system and when the head and body move, the recorded eye-tracking signal is influenced by these movements, which render the subsequent event detection difficult. NEW METHOD: The purpose of the present paper is to develop a method that performs robust event detection in signals recorded using a mobile eye-tracker...
September 28, 2016: Journal of Neuroscience Methods
Timothy J Eviston, Arun V Krishnan
BACKGROUND: Axonal excitability methods have an established role in determining the biophysical properties of human axons in the clinical setting. The translation and refinement of these techniques for application to the facial nerve is important for advancing the pathophysiological understanding of facial nerve disorders. Facial nerve disorders are common and debilitating, yet in most cases diagnosis is based on clinical judgment alone. The pathophysiology of most causes of facial palsy remains unclear...
September 28, 2016: Journal of Neuroscience Methods
Mehak Sood, Pierre Besson, Makii Muthalib, Utkarsh Jindal, Stephane Perrey, Anirban Dutta, Mitsuhiro Hayashibe
BACKGROUND: Transcranial direct current stimulation (tDCS) has been shown to perturb both cortical neural activity and hemodynamics during (online) and after the stimulation, however mechanisms of these tDCS-induced online and after-effects are not known. Here, online resting-state spontaneous brain activation may be relevant to monitor tDCS neuromodulatory effects that can be measured using electroencephalography (EEG) in conjunction with near-infrared spectroscopy (NIRS). METHOD: We present a Kalman Filter based online parameter estimation of an autoregressive (ARX) model to track the transient coupling relation between the changes in EEG power spectrum and NIRS signals during anodal tDCS (2mA, 10min) using a 4×1 ring high-definition montage...
September 28, 2016: Journal of Neuroscience Methods
Cihan Bilge Kayasandik, Demetrio Labate
BACKGROUND: Automated detection and segmentation of somas in fluorescent images of neurons is a major goal in quantitative studies of neuronal networks, including applications of high-content-screenings where it is required to quantify multiple morphological properties of neurons. Despite recent advances in image processing targeted to neurobiological applications, existing algorithms of soma detection are often unreliable, especially when processing fluorescence image stacks of neuronal cultures...
September 26, 2016: Journal of Neuroscience Methods
Armand Mensen, Brady Riedner, Giulio Tononi
BACKGROUND: Analysis of individual slow waves in EEG recording during sleep provides both greater sensitivity and specificity compared to spectral power measures. However, parameters for detection and analysis have not been widely explored and validated. NEW METHOD: We present a new, open-source, Matlab based, toolbox for the automatic detection and analysis of slow waves; with adjustable parameter settings, as well as manual correction and exploration of the results using a multi-faceted visualization tool...
September 20, 2016: Journal of Neuroscience Methods
Maria A Gonzalez Porras, Paul N Durfee, Ashley M Gregory, Gary C Sieck, C Jeffrey Brinker, Carlos B Mantilla
BACKGROUND: Trophic interactions between muscle fibers and motoneurons at the neuromuscular junction (NMJ) play a critical role in determining motor function throughout development, aging, injury, or disease. Treatment of neuromuscular disorders is hindered by the inability to selectively target motoneurons with pharmacological and genetic interventions. NEW METHOD: We describe a novel delivery system to motoneurons using mesoporous silica nanoparticles encapsulated within a lipid bilayer (protocells) and modified with the atoxic subunit B of the cholera toxin (CTB) that binds to gangliosides present on neuronal membranes...
September 15, 2016: Journal of Neuroscience Methods
Julie Courtiol, Dionysios Perdikis, Spase Petkoski, Viktor Müller, Raoul Huys, Rita Sleimen-Malkoun, Viktor K Jirsa
BACKGROUND: Multiscale Entropy (MSE) estimates the predictability of a signal over multiple temporal scales. It has been recently applied to study brain signal variability, notably during aging. The grounds of its application and interpretation remain unclear and subject to debate. METHOD: We used both simulated and experimental data to provide an intuitive explanation of MSE and to explore how it relates to the frequency content of the signal, depending on the amount of (non)linearity and stochasticity in the underlying dynamics...
September 14, 2016: Journal of Neuroscience Methods
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"