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Bayesian Brain

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https://www.readbyqxmd.com/read/28344546/choosing-muse-validation-of-a-low-cost-portable-eeg-system-for-erp-research
#1
Olave E Krigolson, Chad C Williams, Angela Norton, Cameron D Hassall, Francisco L Colino
In recent years there has been an increase in the number of portable low-cost electroencephalographic (EEG) systems available to researchers. However, to date the validation of the use of low-cost EEG systems has focused on continuous recording of EEG data and/or the replication of large system EEG setups reliant on event-markers to afford examination of event-related brain potentials (ERP). Here, we demonstrate that it is possible to conduct ERP research without being reliant on event markers using a portable MUSE EEG system and a single computer...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28343976/prophylactic-cranial-irradiation-versus-observation-in-patients-with-extensive-disease-small-cell-lung-cancer-a-multicentre-randomised-open-label-phase-3-trial
#2
Toshiaki Takahashi, Takeharu Yamanaka, Takashi Seto, Hideyuki Harada, Hiroshi Nokihara, Hideo Saka, Makoto Nishio, Hiroyasu Kaneda, Koichi Takayama, Osamu Ishimoto, Koji Takeda, Hiroshige Yoshioka, Motoko Tachihara, Hiroshi Sakai, Koichi Goto, Nobuyuki Yamamoto
BACKGROUND: Results from a previous phase 3 study suggested that prophylactic cranial irradiation reduces the incidence of symptomatic brain metastases and prolongs overall survival compared with no prophylactic cranial irradiation in patients with extensive-disease small-cell lung cancer. However, because of the absence of brain imaging before enrolment and variations in chemotherapeutic regimens and irradiation doses, concerns have been raised about these findings. We did a phase 3 trial to reassess the efficacy of prophylactic cranial irradiation in the treatment of extensive-disease small-cell lung cancer...
March 23, 2017: Lancet Oncology
https://www.readbyqxmd.com/read/28337122/cerebrospinal-fluid-cortisol-mediates-brain-derived-neurotrophic-factor-relationships-to-mortality-after-severe-tbi-a-prospective-cohort-study
#3
Miranda J Munoz, Raj G Kumar, Byung-Mo Oh, Yvette P Conley, Zhensheng Wang, Michelle D Failla, Amy K Wagner
Distinct regulatory signaling mechanisms exist between cortisol and brain derived neurotrophic factor (BDNF) that may influence secondary injury cascades associated with traumatic brain injury (TBI) and predict outcome. We investigated concurrent CSF BDNF and cortisol relationships in 117 patients sampled days 0-6 after severe TBI while accounting for BDNF genetics and age. We also determined associations between CSF BDNF and cortisol with 6-month mortality. BDNF variants, rs6265 and rs7124442, were used to create a gene risk score (GRS) in reference to previously published hypothesized risk for mortality in "younger patients" (<48 years) and hypothesized BDNF production/secretion capacity with these variants...
2017: Frontiers in Molecular Neuroscience
https://www.readbyqxmd.com/read/28334230/guided-bayesian-imputation-to-adjust-for-confounding-when-combining-heterogeneous-data-sources-in-comparative-effectiveness-research
#4
Joseph Antonelli, Corwin Zigler, Francesca Dominici
In comparative effectiveness research, we are often interested in the estimation of an average causal effect from large observational data (the main study). Often this data does not measure all the necessary confounders. In many occasions, an extensive set of additional covariates is measured for a smaller and non-representative population (the validation study). In this setting, standard approaches for missing data imputation might not be adequate due to the large number of missing covariates in the main data relative to the smaller sample size of the validation data...
March 3, 2017: Biostatistics
https://www.readbyqxmd.com/read/28333493/bayesian-approaches-to-autism-towards-volatility-action-and-behavior
#5
Colin J Palmer, Rebecca P Lawson, Jakob Hohwy
Autism spectrum disorder currently lacks an explanation that bridges cognitive, computational, and neural domains. In the past 5 years, progress has been sought in this area by drawing on Bayesian probability theory to describe both social and nonsocial aspects of autism in terms of systematic differences in the processing of sensory information in the brain. The present article begins by synthesizing the existing literature in this regard, including an introduction to the topic for unfamiliar readers. The key proposal is that autism is characterized by a greater weighting of sensory information in updating probabilistic representations of the environment...
March 23, 2017: Psychological Bulletin
https://www.readbyqxmd.com/read/28327290/bayesian-brains-without-probabilities
#6
REVIEW
Adam N Sanborn, Nick Chater
Bayesian explanations have swept through cognitive science over the past two decades, from intuitive physics and causal learning, to perception, motor control and language. Yet people flounder with even the simplest probability questions. What explains this apparent paradox? How can a supposedly Bayesian brain reason so poorly with probabilities? In this paper, we propose a direct and perhaps unexpected answer: that Bayesian brains need not represent or calculate probabilities at all and are, indeed, poorly adapted to do so...
December 2016: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28323852/extraction-of-features-from-sleep-eeg-for-bayesian-assessment-of-brain-development
#7
Vitaly Schetinin, Livija Jakaite
Brain development can be evaluated by experts analysing age-related patterns in sleep electroencephalograms (EEG). Natural variations in the patterns, noise, and artefacts affect the evaluation accuracy as well as experts' agreement. The knowledge of predictive posterior distribution allows experts to estimate confidence intervals within which decisions are distributed. Bayesian approach to probabilistic inference has provided accurate estimates of intervals of interest. In this paper we propose a new feature extraction technique for Bayesian assessment and estimation of predictive distribution in a case of newborn brain development assessment...
2017: PloS One
https://www.readbyqxmd.com/read/28323161/seeg-dipole-source-localization-based-on-an-empirical-bayesian-approach-taking-into-account-forward-model-uncertainties
#8
S Le Cam, R Ranta, V Caune, G Korats, L Koessler, L Maillard, V Louis-Dorr
Electromagnetic brain source localization consists in the inversion of a forward model based on a limited number of potential measurements. A wide range of methods has been developed to regularize this severely ill-posed problem and to reduce the solution space, imposing spatial smoothness, anatomical constraint or sparsity of the activated source map. This last criteria, based on physiological assumptions stating that in some particular events (e.g., epileptic spikes, evoked potential) few focal area of the brain are simultaneously actives, has gained more and more interest...
March 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28316255/a-bayesian-double-fusion-model-for-resting-state-brain-connectivity-using-joint-functional-and-structural-data
#9
Hakmook Kang, Hernando Ombao, Christopher Fonnesbeck, Zhaohua Ding, Victoria L Morgan
Current approaches separately analyze concurrently acquired diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) data. The primary limitation of these approaches is that they do not take advantage of the information from DTI that could potentially enhance estimation of resting state functional connectivity (FC) between brain regions. To overcome this limitation, we develop a Bayesian hierarchical spatio-temporal model that incorporates structural connectivity into estimating FC. In our proposed approach, structural connectivity (SC) based on DTI data is used to construct an informative prior for functional connectivity based on resting state fMRI data via the Cholesky decomposition...
March 19, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28297889/time-varying-coupling-functions-dynamical-inference-and-cause-of-synchronization-transitions
#10
Tomislav Stankovski
Interactions in nature can be described by their coupling strength, direction of coupling, and coupling function. The coupling strength and directionality are relatively well understood and studied, at least for two interacting systems; however, there can be a complexity in the interactions uniquely dependent on the coupling functions. Such a special case is studied here: synchronization transition occurs only due to the time variability of the coupling functions, while the net coupling strength is constant throughout the observation time...
February 2017: Physical Review. E
https://www.readbyqxmd.com/read/28294109/goal-recognition-based-adaptive-brain-computer-interface-for-navigating-immersive-robotic-systems
#11
Mohammad Abu-Alqumsan, Felix Ebert, Angelika Peer
OBJECTIVE: This work proposes principled strategies for self-adaptations in EEG-based Brain-computer interfaces (BCIs) as a way out of the bandwidth bottleneck resulting from the considerable mismatch between the low-bandwidth interface and the bandwidth-hungry application, and a way to enable fluent and intuitive interaction in embodiment systems. The main focus is laid upon inferring the hidden target goals of users while navigating in a remote environment as a basis for possible adaptations...
March 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28289380/variation-in-event-related-potentials-by-state-transitions
#12
Hiroshi Higashi, Tetsuto Minami, Shigeki Nakauchi
The probability of an event's occurrence affects event-related potentials (ERPs) on electroencephalograms. The relation between probability and potentials has been discussed by using a quantity called surprise that represents the self-information that humans receive from the event. Previous studies have estimated surprise based on the probability distribution in a stationary state. Our hypothesis is that state transitions also play an important role in the estimation of surprise. In this study, we compare the effects of surprise on the ERPs based on two models that generate an event sequence: a model of a stationary state and a model with state transitions...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28287785/iq-as-moderator-of-terminal-decline-in-perceptual-and-motor-speed-spatial-and-verbal-ability-testing-the-cognitive-reserve-hypothesis-in-a-population-based-sample-followed-from-age-70-until-death
#13
Valgeir Thorvaldsson, Ingmar Skoog, Boo Johansson
Terminal decline (TD) refers to acceleration in within-person cognitive decline prior to death. The cognitive reserve hypothesis postulates that individuals with higher IQ are able to better tolerate age-related increase in brain pathologies. On average, they will exhibit a later onset of TD, but once they start to decline, their trajectory is steeper relative to those with lower IQ. We tested these predictions using data from initially nondemented individuals (n = 179) in the H70-study repeatedly measured at ages 70, 75, 79, 81, 85, 88, 90, 92, 95, 97, 99, and 100, or until death, on cognitive tests of perceptual-and-motor-speed and spatial and verbal ability...
March 2017: Psychology and Aging
https://www.readbyqxmd.com/read/28273276/sim-brasil-study-women-s-gastrointestinal-health-gastrointestinal-symptoms-and-impact-on-the-brazilian-women-quality-of-life
#14
Ana Paula Wolf Tasca Del'arco, Pamela Magalhães, Flávio Antônio Quilici
BACKGROUND: Gastrointestinal symptoms seem to affect more women, due to hormonal and emotional issues, impacting the quality of life. The emotional state can affect the bowel functioning through a bidirectional communication system between the gut and the brain involving the neuroendocrine system. Altered bowel functioning and gastrointestinal symptoms can alter quality of life. OBJECTIVE: The SIM study aimed to describe, characterize and quantify gastrointestinal symptoms reported by Brazilian women, their causes, feelings and impact...
February 23, 2017: Arquivos de Gastroenterologia
https://www.readbyqxmd.com/read/28270191/isolation-and-molecular-characterisation-of-halicephalobus-gingivalis-in-the-brain-of-a-horse-in-piedmont-italy
#15
Maria Domenica Pintore, Francesco Cerutti, Antonio D'Angelo, Cristiano Corona, Paola Gazzuola, Loretta Masoero, Corrado Colombo, Roberto Bona, Carlo Cantile, Simone Peletto, Cristina Casalone, Barbara Iulini
BACKGROUND: A fatal case of meningoencephalitis was reported in a 13-year-old Koninklijk Warmbloed Paard Nederland stallion, suspected of West Nile virus (WNV) infection, in the Piedmont region of Italy. Clinical signs included right head tilt and circling, depression alternated with excitability, fever and lateral strabismus. Combined treatment consisting of dimethylsulfoxide, dexamethasone, sulphonamides and sedative was administered, but because of the poor conditions the horse was euthanatized and submitted for necropsy...
March 7, 2017: Parasites & Vectors
https://www.readbyqxmd.com/read/28267626/bayesian-switching-factor-analysis-for-estimating-time-varying-functional-connectivity-in-fmri
#16
Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon
There is growing interest in understanding the dynamical properties of functional interactions between distributed brain regions. However, robust estimation of temporal dynamics from functional magnetic resonance imaging (fMRI) data remains challenging due to limitations in extant multivariate methods for modeling time-varying functional interactions between multiple brain areas. Here, we develop a Bayesian generative model for fMRI time-series within the framework of hidden Markov models (HMMs). The model is a dynamic variant of the static factor analysis model (Ghahramani and Beal, 2000)...
March 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28259780/regression-dcm-for-fmri
#17
Stefan Frässle, Ekaterina I Lomakina, Adeel Razi, Karl J Friston, Joachim M Buhmann, Klaas E Stephan
The development of large-scale network models that infer the effective (directed) connectivity among neuronal populations from neuroimaging data represents a key challenge for computational neuroscience. Dynamic causal models (DCMs) of neuroimaging and electrophysiological data are frequently used for inferring effective connectivity but are presently restricted to small graphs (typically up to 10 regions) in order to keep model inversion computationally feasible. Here, we present a novel variant of DCM for functional magnetic resonance imaging (fMRI) data that is suited to assess effective connectivity in large (whole-brain) networks...
March 1, 2017: NeuroImage
https://www.readbyqxmd.com/read/28244422/robust-estimation-of-electron-density-from-anatomic-magnetic-resonance-imaging-of-the-brain-using-a-unifying-multi-atlas-approach
#18
Shangjie Ren, Wendy Hara, Lei Wang, Mark K Buyyounouski, Quynh-Thu Le, Lei Xing, Ruijiang Li
PURPOSE: To develop a reliable method to estimate electron density based on anatomic magnetic resonance imaging (MRI) of the brain. METHODS AND MATERIALS: We proposed a unifying multi-atlas approach for electron density estimation based on standard T1- and T2-weighted MRI. First, a composite atlas was constructed through a voxelwise matching process using multiple atlases, with the goal of mitigating effects of inherent anatomic variations between patients. Next we computed for each voxel 2 kinds of conditional probabilities: (1) electron density given its image intensity on T1- and T2-weighted MR images; and (2) electron density given its spatial location in a reference anatomy, obtained by deformable image registration...
March 15, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/28230712/updating-evidence-for-using-hypothermia-in-pediatric-severe-traumatic-brain-injury-conventional-and-bayesian-meta-analytic-perspectives
#19
Robert C Tasker, Frederick W Vonberg, Elizabeth D Ulano, Alireza Akhondi-Asl
OBJECTIVE: To evaluate clinical trials of hypothermia management on outcome in pediatric patients with severe traumatic brain injury using conventional and Bayesian meta-analyses. DATA SOURCES: Screening of PubMed and other databases to identify randomized controlled trials of hypothermia for pediatric severe traumatic brain injury published before September 2016. STUDY SELECTION: Four investigators assessed and reviewed randomized controlled trial data...
February 20, 2017: Pediatric Critical Care Medicine
https://www.readbyqxmd.com/read/28223914/decoding-lower-limb-muscle-activity-and-kinematics-from-cortical-neural-spike-trains-during-monkey-performing-stand-and-squat-movements
#20
Xuan Ma, Chaolin Ma, Jian Huang, Peng Zhang, Jiang Xu, Jiping He
Extensive literatures have shown approaches for decoding upper limb kinematics or muscle activity using multichannel cortical spike recordings toward brain machine interface (BMI) applications. However, similar topics regarding lower limb remain relatively scarce. We previously reported a system for training monkeys to perform visually guided stand and squat tasks. The current study, as a follow-up extension, investigates whether lower limb kinematics and muscle activity characterized by electromyography (EMG) signals during monkey performing stand/squat movements can be accurately decoded from neural spike trains in primary motor cortex (M1)...
2017: Frontiers in Neuroscience
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