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Journal of Neuroscience Methods

C Salvatore, I Castiglioni
BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in the management of AD patients. NEW METHOD: We implemented a machine-learning classifier for the automatic early diagnosis and prognosis of AD by means of features extracted, selected and optimized from structural MRI brain images. The classifier was designed to perform multi-label automatic classification into the following four classes: HC, ncMCI, cMCI, and AD...
January 9, 2018: Journal of Neuroscience Methods
Megan R Warren, Daniel T Sangiamo, Joshua P Neunuebel
BACKGROUND: An integral component in the assessment of vocal behavior in groups of freely interacting animals is the ability to determine which animal is producing each vocal signal. This process is facilitated by using microphone arrays with multiple channels. NEW METHOD AND COMPARISON WITH EXISTING METHODS: Here, we made important refinements to a state-of-the-art microphone array based system used to localize vocal signals produced by freely interacting laboratory mice...
January 5, 2018: Journal of Neuroscience Methods
Isabella Castiglioni, Christian Salvatore, Javier Ramirez, Juan Manuel Górriz Sáez
No abstract text is available yet for this article.
January 2, 2018: Journal of Neuroscience Methods
Sara Buskbjerg Jager, Lone Tjener Pallesen, Christian Bjerggaard Vaegter
BACKGROUND: Satellite glial cells (SGCs) envelope the neuronal somas in the dorsal root ganglia (DRG) and are believed to provide important neuronal support. Animal models of peripheral nerve injury, diabetes or chemotherapy all demonstrate activation of SGCs, suggesting important physiological roles for SGCs in various states of peripheral neuropathy. However, the biology of these glial cells is only poorly characterized under normal as well as pathological conditions due to suboptimal isolation methods...
January 2, 2018: Journal of Neuroscience Methods
Régis C Lambert, Christine Tuleau-Malot, Thomas Bessaih, Vincent Rivoirard, Yann Bouret, Nathalie Leresche, Patricia Reynaud-Bouret
BACKGROUND: Statistical models that predict neuron spike occurrence from the earlier spiking activity of the whole recorded network are promising tools to reconstruct functional connectivity graphs. Some of the previously used methods are in the general statistical framework of the multivariate Hawkes processes. However, they usually require a huge amount of data, some prior knowledge about the recorded network, and/or may produce an increasing number of spikes along time during simulation...
December 30, 2017: Journal of Neuroscience Methods
Jiaxing Wu, Quinton M Skilling, Daniel Maruyama, Chenguang Li, Nicolette Ognjanovski, Sara Aton, Michal Zochowski
BACKGROUND: Recent advances in neurophysiological recording techniques have increased both the spatial and temporal resolution of data. New methodologies are required that can handle large data sets in an efficient manner as well as to make quantifiable, and realistic, predictions about the global modality of the brain from under-sampled recordings. NEW METHOD: To rectify both problems, we first propose an analytical modification to an existing functional connectivity algorithm, Average Minimal Distance (AMD), to rapidly capture functional network connectivity...
December 30, 2017: Journal of Neuroscience Methods
Andreas Bahmer, Sabrina Pieper, Uwe Baumann
BACKGROUND: Electrically evoked steady-state response (EASSR) recording is a measure of neuronal response strength after continuous electrical stimulation of the auditory system. In order to suppress the large electrical artifact generated by intracochlear electrical stimulation, a sophisticated artifact reduction processing strategy ("Hofmann procedure") has been proposed (Hofmann and Wouters, 2010). So far, EASSR recordings with artifact reduction procedures were reported only in cochlear implant (CI) users implanted with Cochlear devices (Macquarie, Australia)...
December 29, 2017: Journal of Neuroscience Methods
Christina Pätz, Simone Brachtendorf, Jens Eilers
BACKGROUND: The inferior olive (IO) innervates the cerebellum forming synapses in the deep cerebellar nuclei (DCN) and the cerebellar cortex. Beside the well-known exception of synapses on Purkinje neurons, synapses between IO efferents and other neuronal targets have not been studied intensively, mostly due to the technical challenge of unequivocally identifying IO efferents in electrophysiological experiments. NEW METHOD: We describe the transgenic mouse line Igsf9-eGFP, which expresses GFP in IO neurons, as a suitable tool for studying IO efferents using live imaging, immunohistochemistry and electrophysiology...
December 29, 2017: Journal of Neuroscience Methods
Daniel Lachner-Piza, Nino Epitashvili, Andreas Schulze-Bonhage, Thomas Stieglitz, Julia Jacobs, Matthias Dümpelmann
BACKGROUND: Studies on sleep-spindles are typically based on visual-marks performed by experts, however this process is time consuming and presents a low inter-expert agreement, causing the data to be limited in quantity and prone to bias. An automatic detector would tackle these issues by generating large amounts of objectively marked data. NEW METHOD: Our goal was to develop a sensitive, precise and robust sleep-spindle detection method. Emphasis has been placed on achieving a consistent performance across heterogeneous recordings and without the need for further parameter fine tuning...
December 29, 2017: Journal of Neuroscience Methods
Veerle Paternoster, Anto P Rajkumar, Jens Randel Nyengaard, Anders Dupont Børglum, Jakob Grove, Jane Hvarregaard Christensen
BACKGROUND: Dendritic spine morphology is heterogeneous and highly dynamic. To study the changing or aberrant morphology in test setups, often spines from several neurons from a few experimental units e.g. mice or primary neuronal cultures are measured. This strategy results in a multilevel data structure, which, when not properly addressed, has a high risk of producing false positive and false negative findings. METHODS: We used mixed-effects models to deal with data with a multilevel data structure and compared this method to analyses at each level...
December 26, 2017: Journal of Neuroscience Methods
Nicola Amoroso, Domenico Diacono, Annarita Fanizzi, Marianna La Rocca, Alfonso Monaco, Angela Lombardi, Cataldo Guaragnella, Roberto Bellotti, Sabina Tangaro
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and its onset in subjects affected by mild cognitive impairment (MCI) based on structural MRI features is one of the most important open issues in neuroimaging. Accordingly, a scientific challenge has been promoted, on the international Kaggle platform, to assess the performance of different classification methods for prediction of MCI and its conversion to AD. NEW METHOD: This work presents a classification strategy based on Random Forest feature selection and Deep Neural Network classification using a mixed cohort including the four classes of classification problem, that is HC, AD, MCI, cMCI, to train the model...
December 26, 2017: Journal of Neuroscience Methods
Anabel M M Miguelez Fernández, Ariel Burman, Alfredo I Martínez Cáceres, Camilo J Mininni, B Silvano Zanutto, Sergio E Lew
BACKGROUND: While spherical treadmills are widely used in mouse models, there are only a few experimental setups suitable for adult rats, and none of them include head-fixation. NEW METHOD: We introduce a novel spherical treadmill apparatus for head-fixed rats that allows a wide repertory of natural responses. The rat is secured to a frame and placed on a freely rotating sphere. While being head-fixed, it can walk in any direction and perform different motor tasks...
December 26, 2017: Journal of Neuroscience Methods
Kathryn E Neville, Timothy L Bosse, Mia Klekos, John F Mills, Steven E Weicksel, James S Waters, Marla Tipping
BACKGROUND: Many neuronal and glial diseases have been associated with changes in metabolism. Therefore, metabolic reprogramming has become an important area of research to better understand disease at the cellular level, as well as to identify targets for treatment. Model systems are ideal for interrogating metabolic questions in a tissue dependent context. However, while new tools have been developed to study metabolism in cultured cells there has been less progress towards studies in vivo and ex vivo...
December 26, 2017: Journal of Neuroscience Methods
Adam D Goodworth, Robert J Peterka
BACKGROUND: Posture control models are instrumental to interpret experimental data and test hypotheses. However, as models have increased in complexity to include multi-segmental dynamics, discrepancy has arisen amongst researchers regarding the accuracy and limitations of identifying neural control parameters using a single stimulus. NEW METHOD: The current study examines this topic using simulations with a parameterized model-fit approach. We first determine if the model-fit approach can identify parameters in the theoretical situation with no noise...
December 22, 2017: Journal of Neuroscience Methods
Vítor Lopes-Dos-Santos, Hernan G Rey, Joaquin Navajas, Rodrigo Quian Quiroga
BACKGROUND: Over 90 years after its first recording, scalp electroencephalography (EEG) remains one of the most widely used techniques in human neuroscience research, in particular for the study of event-related potentials (ERPs). However, because of its low signal-to-noise ratio, extracting useful information from these signals continues to be a hard-technical challenge. Many studies focus on simple properties of the ERPs such as peaks, latencies, and slopes of signal deflections. NEW METHOD: To overcome these limitations, we developed the Wavelet-Information method which uses wavelet decomposition, information theory, and a quantification based on single-trial decoding performance to extract information from evoked responses...
December 22, 2017: Journal of Neuroscience Methods
Meghann C Ryan, Paul Sherman, Laura M Rowland, S Andrea Wijtenburg, Ashley Acheson, Els Fieremans, Jelle Veraart, Dmitry Novikov, L Elliot Hong, John Sladky, P Dana Peralta, Peter Kochunov, Stephen A McGuire
BACKGROUND: Neuroscience research in brain development and disorders can benefit from an in vivo animal model that portrays normal white matter (WM) development trajectories and has a sufficiently large cerebrum for imaging with human MRI scanners and protocols. NEW METHOD: Twelve three-month-old Sinclair™ miniature pigs (Sus scrofa domestica) were longitudinally evaluated during adolescent development using advanced diffusion weighted imaging (DWI) focused on cerebral WM...
December 22, 2017: Journal of Neuroscience Methods
Héctor Carreño Gutiérrez, Irene Vacca, Anna Inguanzo Pons, William H J Norton
BACKGROUND: Although aggression is a common symptom of psychiatric disorders the drugs available to treat it are non-specific and can have unwanted side effects. The zebrafish is an ideal model for aggression research. Zebrafish are small, amenable to genetic and pharmacological manipulation, and agonistic behaviour can be measured reliably. NEW METHOD: In this study we have established a novel setup to automatically quantify aggression and locomotion in one-month old juvenile zebrafish, a stage at which fish exhibit adult-like behaviour but are small that one camera can film several animals...
December 21, 2017: Journal of Neuroscience Methods
S I Dimitriadis, D Liparas, Magda N Tsolaki
BACKGROUND: In the era of computer-assisted diagnostic tools for various brain diseases, Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the main scope being its use in daily practice. However, there has been no study attempting to simultaneously discriminate among Healthy Controls (HC), early mild cognitive impairment (MCI), late MCI (cMCI) and stable AD, using features derived from a single modality, namely MRI. NEW METHOD: Based on preprocessed MRI images from the organizers of a neuroimaging challenge,3 we attempted to quantify the prediction accuracy of multiple morphological MRI features to simultaneously discriminate among HC, MCI, cMCI and AD...
December 18, 2017: Journal of Neuroscience Methods
Ivanna K Timotius, Fabio Canneva, Georgia Minakaki, Cristian Pasluosta, Sandra Moceri, Nicolas Casadei, Olaf Riess, Jürgen Winkler, Jochen Klucken, Stephan von Hörsten, Bjoern Eskofier
BACKGROUND: Sway is a crucial gait characteristic tightly correlated with the risk of falling in patients with Parkinsońs disease (PD). So far, the swaying pattern during locomotion has not been investigated in rodent models using the analysis of dynamic footprint recording obtained from the CatWalk gait recording and analysis system. NEW METHODS: We present three methods for describing locomotion sway and apply them to footprint recordings taken from C57BL6/N wild-type mice and two different α-synuclein transgenic PD-relevant mouse models (α-synm-ko, α-synm-koxα-synh-tg)...
December 15, 2017: Journal of Neuroscience Methods
Hyung-Sun Kim, Donghak Byun, Ra Gyung Kim, Goo-Hwa Kang, Ji-Young Park, Young-Su Yang, Su-Cheol Han, Hyoung-Ihl Kim
BACKGROUND: It is challenging for researchers performing stereotactic procedures to transition from small animals to non-human primate (NHP) experiments. The NHP stereotactic atlas is based on ear-bar zero (EBZ), which is an anatomical reference frame that is not visible during surgery. Most current NHP stereotactic systems require high-cost MRI or CT imaging and complex computer processing to determine the stereotactic coordinates, limiting the procedure to those with significant expertise...
December 15, 2017: Journal of Neuroscience Methods
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