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Journal of Neuroscience Methods

Namgil Lee, Jong-Min Kim
BACKGROUND: Recent studies showed that functional connectivity (FC) in the human brain is not static but can dynamically change across time within time scales of seconds to minutes. NEW METHOD: This study introduces a new statistical method called the copula time-varying correlation for dynamic functional connectivity (dFC) analysis from functional magnetic resonance imaging (fMRI) data. RESULTS: Compared to other state-of-the-art statistical measures of dynamic correlation such as the dynamic conditional correlation (DCC), the proposed method can be effectively applied to data having asymmetric or non-normal distributions...
May 14, 2019: Journal of Neuroscience Methods
Zhiying Long, Lu Liu, Zhe Gao, Maoming Chen, Li Yao
BACKGROUND: Online dictionary learning (ODL) has been applied to extract brain networks from functional magnetic resonance imaging (fMRI) data in recent year. Moreover, the supervised dictionary learning (SDL) that fixed the task stimulus curves as predefined atoms was proposed to improve ODL for functional networks separation. However, SDL cannot estimate the real time courses underlying the brain networks and cannot be applied to the inter-network connectivity analysis. This study aimed at investigating how to add the temporal prior information to ODL to extract the accurate task-related brain networks and the corresponding time courses...
May 11, 2019: Journal of Neuroscience Methods
Takayuki Ose, Joonas A Autio, Masahiro Ohno, Kantaro Nishigori, Nobuyoshi Tanki, Ami Igesaka, Tomoko Mori, Hisashi Doi, Yasuhiro Wada, Iwao Nakajima, Hiroshi Watabe, Takuya Hayashi
BACKGROUND: Multi-modal brain image registration is a prerequisite for accurate mapping of brain structure and function in neuroscience. Image registration is commonly performed using automated software; however, its accuracy decreases when images differ in modality, contrast, uniformity, and resolution. This limitation could be overcome by using an external reference point; however, high-contrast agents in multi-modal imaging have not been previously reported. NEW METHODS: Here, we propose a novel multi-modal fiducial marker that contains Tungsten solution and provides high contrast in magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET)...
May 10, 2019: Journal of Neuroscience Methods
Jaewon Hwang, Andrew R Mitz, Elisabeth A Murray
BACKGROUND: Computerized control of behavioral paradigms is an essential element of neurobehavioral studies, especially physiological recording studies that require sub-millisecond precision. Few software solutions provide a simple, flexible environment to create and run these applications. MonkeyLogic, a MATLAB-based package, was developed to meet these needs, but faces a performance crisis and obsolescence due to changes in MATLAB itself. NEW METHOD: Here we report a complete redesign and rewrite of MonkeyLogic, now NIMH MonkeyLogic, that natively supports the latest 64-bit MATLAB on the Windows platform...
May 6, 2019: Journal of Neuroscience Methods
Miky Timothy, Paul M Forlano
BACKGROUND: In recent decades, the advent of advanced microscopy techniques, including high resolution digital imaging, multi-dimensional acquisition, and multiple fluorescence channel exposure, as well as the availability of inexpensive terabyte-capacity digital storage, has enabled neuroscience research laboratories to engage in high-throughput quantitative image analysis experiments involving numerous chemical markers and experimental conditions covering multiple brain regions and composed of hundreds of micrographs...
May 4, 2019: Journal of Neuroscience Methods
Michael Caiola, Damien Pittard, Thomas Wichmann, Adriana Galvan
BACKGROUND: Quantification of spontaneous animal movement can be achieved using analysis of video recordings of the animals. Previous reports of video-based methods are based on outdated computer platforms or require the use of specialized equipment. NEW METHOD: We developed a video analysis algorithm to quantify movement based on the commonly used MATLAB programming language. The algorithm is based on pixel differences between frames of video footage acquired with a standard video camera...
May 2, 2019: Journal of Neuroscience Methods
Juan P Amezquita-Sanchez, Nadia Mammone, Francesco C Morabito, Silvia Marino, Hojjat Adeli
BACKGROUND: EEG signals obtained from Mild Cognitive Impairment (MCI) and the Alzheimer's disease (AD) patients are visually indistinguishable. NEW METHOD: A new methodology is presented for differential diagnosis of MCI and the AD through adroit integration of a new signal processing technique, the integrated multiple signal classification and empirical wavelet transform (MUSIC-EWT), different nonlinear features such as fractality dimension (FD) from the chaos theory, and a classification algorithm, the enhanced probabilistic neural network model of Ahmadlou and Adeli using the EEG signals...
May 2, 2019: Journal of Neuroscience Methods
Max E Meade, Jessica E Roginsky, Joseph R Schulz
BACKGROUND: Zebrafish (Danio rerio) are growing in popularity as a vertebrate model organism for the study of spinal neurocircuitry and locomotion. While many studies have used the zebrafish model system for electrophysiological analyses in embryonic and larval stages, there is a growing interest in studying spinal circuits and neurons from adult fish. NEW METHOD: To expand upon the existing toolset available to the zebrafish research community, we have developed the first primary cell culture system of adult zebrafish spinal neurons...
April 24, 2019: Journal of Neuroscience Methods
Elias Ebrahimzadeh, Hamid Soltanian-Zadeh, Babak Nadjar Araabi, Seyed Sohrab Hashemi Fesharaki, Jafar Mehvari Habibabadi
BACKGROUND: Simultaneous EEG-fMRI experiments record spatiotemporal dynamics of epileptic activity. A shortcoming of spike-based EEG-fMRI studies is their inability to provide information about behavior of epileptic generators when no spikes are visible. NEW METHOD: We extract time series of epileptic components identified on EEG and fit them with Generalized Linear Model (GLM) model. This allows a precise and reliable localization of epileptic foci in addition to predicting generator's behavior...
April 23, 2019: Journal of Neuroscience Methods
Shashikant T Kadam, Vineet M N Dhaimodker, Milind M Patil, Damodar Reddy Edla, Venkatanareshbabu Kuppili
BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous applications such as clinical and psychiatric studies, social interactions, brain computer interface etc. Intelligence has baffled us for centuries, and we have attempted to quantify using EEG signals. NEW METHOD: This paper aims at devising a novel non-invasive method of measuring human intelligence. A newly devised scoring scheme is used to ultimately generate a score for the subjects...
April 22, 2019: Journal of Neuroscience Methods
Leonardo Rakauskas Zacharias, André Salles Cunha Peres, Victor Hugo Souza, Adriana Bastos Conforto, Oswaldo Baffa
BACKGROUND: Small variations in TMS parameters, such as pulse frequency and amplitude may elicit distinct neurophysiological responses. Assessing the mismatch between nominal and experimental parameters of TMS stimulators is essential for safe application and comparisons of results across studies. NEW METHOD: A search coil was used to assess exactness and precision errors of amplitude and timing parameters such as interstimulus interval, the period of pulse repetition, and intertrain interval of TMS devices...
April 20, 2019: Journal of Neuroscience Methods
Mohammad R Arbabshirani, Adrian Preda, Jatin G Vaidya, Steven G Potkin, Godfrey Pearlson, James Voyvodic, Daniel Mathalon, Theo van Erp, Andrew Michael, Kent A Kiehl, Jessica A Turner, Vince D Calhoun
BACKGROUND: Autocorrelation (AC) in fMRI time-series is a well-known phenomenon, typically attributed to colored noise and therefore removed from the data. We hypothesize that AC reflects systematic and meaningful signal fluctuations that may be tied to neural activity and provide evidence to support this hypothesis. NEW METHOD: Each fMRI time-series is modeled as an autoregressive process from which the autocorrelation is quantified. Then, autocorrelation during resting-state fMRI and auditory oddball (AOD) task in schizophrenia and healthy volunteers is examined...
April 18, 2019: Journal of Neuroscience Methods
Mark A Eckert, Kenneth I Vaden
BACKGROUND: . Structural cerebral asymmetries are hypothesized to provide an architectural foundation for functional asymmetries and behavioral lateralities. Studies of structural asymmetries typically focus on gray matter measures that are influenced by gross deformation fields used for normalization, and thus characterize a combination of different morphologic influences on structural asymmetries. NEW METHOD: . A deformation-based morphometry approach was developed to characterize structural asymmetries at different spatial scales of resolution, which can provide relatively more specific inference about the morphologic reason(s) for structural asymmetries, using a dataset of 347 typically developing children (7...
April 15, 2019: Journal of Neuroscience Methods
Léandre P Varennes, Holger G Krapp, Stéphane Viollet
BACKGROUND: Insects catching prey or mates on the wing perform one of the fastest behaviours observed in nature. Some dipteran flies are aerial acrobats specialized to detect, chase and capture their targets within the blink of an eye. Studies of aerial pursuits and its underlying sensorimotor control have been a long-standing subject of interest in neuroethology research. NEW METHOD: We designed an actuated dummy target to trigger chasing flights in male blowflies...
April 13, 2019: Journal of Neuroscience Methods
Henning U Voss, Kyung K Peck, Nicole M Petrovich Brennan, Eduard L Pogosbekyan, Natalia E Zakharova, Artyom I Batalov, Igor N Pronin, Alexander A Potapov, Andrei I Holodny
PURPOSE: Preoperative functional MRI (fMRI) is limited by a muted BOLD response caused by abnormal vasoreactivity and resultant neurovascular uncoupling adjacent to malignant brain tumors. We propose to overcome this limitation and more accurately identify eloquent areas adjacent to brain tumors by independently assessing vasoreactivity using breath-holding and incorporating these data into the fMRI analysis. METHODS: Local vasoreactivity using a breath-holding paradigm with the same timing as the functional motor and language tasks was determined in 16 patients (9 glioblastomas, 1 anaplastic astrocytoma, 5 low grade astrocytomas, and 1 metastasis) and 6 healthy control subjects...
April 13, 2019: Journal of Neuroscience Methods
Ping K Yip, George E Chapman, Rowland R Sillito, T H Richard Ip, Georgia Akhigbe, Stephanie C Becker, Anthony W Price, Adina T Michael-Titus, J Douglas Armstrong, Jordi L Tremoleda
BACKGROUND: Neurotrauma patients face major neurological sequelae. The failure in the preclinical-to-clinical translation of candidate therapies could be due to poor evaluation of rodent behaviours after neurotrauma. NEW METHOD: A home cage automated system was used to study the long term behaviour of individual rats with traumatic brain injury (TBI), spinal cord injury (SCI) and non-CNS injured controls, whilst group-housed in their home cages. Naïve rats were used as baseline controls...
April 13, 2019: Journal of Neuroscience Methods
Honglei Liu, Daniel Bridges, Connor Randall, Sara A Solla, Bian Wu, Paul Hansma, Xifeng Yan, Kenneth S Kosik, Kristofer Bouchard
BACKGROUND: Understanding how neuronal signals propagate in local network is an important step in understanding information processing. As a result, spike trains recorded with Multi-electrode Arrays (MEAs) have been widely used to study the function of neural networks. Studying the dynamics of neuronal networks requires the identification of both excitatory and inhibitory connections. The detection of excitatory relationships can robustly be inferred by characterizing the statistical relationships of neural spike trains...
April 6, 2019: Journal of Neuroscience Methods
Olena Chorna, Lelia Emery, Ellyn Hamm, Melissa Moore-Clingenpeel, Hemang Shrivastava, Ashley Miller, Céline Richard, Nathalie L Maitre
INTRODUCTION: In young children, EEG data acquisition during stimulation tasks is difficult due to anxiety, movement and behaviorally-related interruptions, especially in those with disabilities. NEW METHOD: We used standardized music therapy (MT) protocols with and without acclimatization, during and prior to time-locked EEG with a published tactile testing protocol. Our prospective study leveraged a larger trial in children with/without cerebral palsy aged 7-27 months...
April 6, 2019: Journal of Neuroscience Methods
Catherine R Jutzeler, Laura Sirucek, Paulina S Scheuren, Tong Bobo, Eitan Anenberg, Oscar Ortiz, Jan Rosner, Michèle Hubli, John Lk Kramer
BACKGROUND: Temporal changes of pain perception to prolonged tonic heat pain are conventionally assessed using a computerized visual analog scale. Such a rating-based approach is, however, prone to floor and ceiling effects, which limit the assessment of temporal changes in perception. Thus, alternative methods that overcome these shortcomings are warranted. NEW METHOD: The aim of this study was to assess the feasibility and reliability of a psychophysical approach, i...
April 5, 2019: Journal of Neuroscience Methods
Robert J Barry, Frances M De Blasio, Diana Karamacoska
BACKGROUND: The majority of electroencephalographic (EEG) investigations in normal ageing have determined EEG spectra from epochs recorded in the eyes-closed (EC) and/or eyes-open (EO) resting states, and summed amplitudes or power estimates within somewhat-arbitrary and/or inconsistently defined traditional frequency band limits. NEW METHOD: Natural frequency components were sought using a data-driven frequency Principal Components Analysis (f-PCA) approach, optimised to reduce between-condition and between-group misallocation of variance...
April 4, 2019: Journal of Neuroscience Methods
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