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https://www.readbyqxmd.com/read/29055058/the-neural-oscillations-of-speech-processing-and-language-comprehension-state-of-the-art-and-emerging-mechanisms
#1
Lars Meyer
Neural oscillations subserve a broad range of functions in speech processing and language comprehension. On the one hand, speech contains-somewhat-repetitive trains of air pressure bursts that occur at three dominant amplitude modulation frequencies, physically marking the linguistically meaningful progressions of phonemes, syllables, and intonational phrase boundaries. To these acoustic events, neural oscillations of isomorphous operating frequencies are thought to synchronize, presumably resulting in an implicit temporal alignment of periods of neural excitability to linguistically meaningful spectral information on the three low-level linguistic description levels...
October 20, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29054468/fundamental-principles-of-the-olfactory-code
#2
REVIEW
Veit Grabe, Silke Sachse
Sensory coding represents a basic principle of all phyla in nature: species attempt to perceive their natural surroundings and to make sense of them. Ultimately, sensory coding is the only way to allow a species to make the kinds of crucial decisions that lead to a behavioral response. In this manner, animals are able to detect numerous parameters, ranging from temperature and humidity to light and sound to volatile or non-volatile chemicals. Most of these environmental cues represent a clearly defined stimulus array that can be described along a single physical parameter, such as wavelength or frequency; odorants, in contrast, cannot...
October 17, 2017: Bio Systems
https://www.readbyqxmd.com/read/29054261/development-and-validation-of-various-phenotyping-algorithms-for-diabetes-mellitus-using-data-from-electronic-health-records
#3
Santiago Esteban, Manuel Rodríguez Tablado, Francisco E Peper, Yamila S Mahumud, Ricardo I Ricci, Karin S Kopitowski, Sergio A Terrasa
BACKGROUND AND OBJECTIVE: Recent progression towards precision medicine has encouraged the use of electronic health records (EHRs) as a source for large amounts of data, which is required for studying the effect of treatments or risk factors in more specific subpopulations. Phenotyping algorithms allow to automatically classify patients according to their particular electronic phenotype thus facilitating the setup of retrospective cohorts. Our objective is to compare the performance of different classification strategies (only using standardized problems, rule-based algorithms, statistical learning algorithms (six learners) and stacked generalization (five versions)), for the categorization of patients according to their diabetic status (diabetics, not diabetics and inconclusive; Diabetes of any type) using information extracted from EHRs...
December 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29053865/beta-burst-dynamics-in-parkinson-s-disease-off-and-on-dopaminergic-medication
#4
Gerd Tinkhauser, Alek Pogosyan, Huiling Tan, Damian M Herz, Andrea A Kühn, Peter Brown
Exaggerated basal ganglia beta activity (13-35 Hz) is commonly found in patients with Parkinson's disease and can be suppressed by dopaminergic medication, with the degree of suppression being correlated with the improvement in motor symptoms. Importantly, beta activity is not continuously elevated, but fluctuates to give beta bursts. The percentage number of longer beta bursts in a given interval is positively correlated with clinical impairment in Parkinson's disease patients. Here we determine whether the characteristics of beta bursts are dependent on dopaminergic state...
October 10, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/29053447/multimodal-mr-synthesis-via-modality-invariant-latent-representation
#5
Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A Tsaftaris
We propose a multi-input multi-output fully convolutional neural network model for MRI synthesis. The model is robust to missing data, as it benefits from, but does not require, additional input modalities. The model is trained end-to-end, and learns to embed all input modalities into a shared modalityinvariant latent space. These latent representations are then combined into a single fused representation, which is transformed into the target output modality with a learnt decoder. We avoid the need for curriculum learning by exploiting the fact that the various input modalities are highly correlated...
October 17, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/29052632/social-behaviour-shapes-hypothalamic-neural-ensemble-representations-of-conspecific-sex
#6
Ryan Remedios, Ann Kennedy, Moriel Zelikowsky, Benjamin F Grewe, Mark J Schnitzer, David J Anderson
All animals possess a repertoire of innate (or instinctive) behaviours, which can be performed without training. Whether such behaviours are mediated by anatomically distinct and/or genetically specified neural pathways remains unknown. Here we report that neural representations within the mouse hypothalamus, that underlie innate social behaviours, are shaped by social experience. Oestrogen receptor 1-expressing (Esr1(+)) neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvl) control mating and fighting in rodents...
October 18, 2017: Nature
https://www.readbyqxmd.com/read/29051305/acoustic-change-complex-in-background-noise-phoneme-level-and-timing-effects
#7
Curtis J Billings, Leslie D Grush, Nashrah Maamor
The effects of background noise on speech-evoked cortical auditory evoked potentials (CAEPs) can provide insight into the physiology of the auditory system. The purpose of this study was to determine background noise effects on neural coding of different phonemes within a syllable. CAEPs were recorded from 15 young normal-hearing adults in response to speech signals /s/, /ɑ/, and /sɑ/. Signals were presented at varying signal-to-noise ratios (SNRs). The effects of SNR and context (in isolation or within syllable) were analyzed for both phonemes...
November 2017: Physiological Reports
https://www.readbyqxmd.com/read/29049289/a-molecular-atlas-of-the-developing-ectoderm-defines-neural-neural-crest-placode-and-nonneural-progenitor-identity-in-vertebrates
#8
Jean-Louis Plouhinec, Sofía Medina-Ruiz, Caroline Borday, Elsa Bernard, Jean-Philippe Vert, Michael B Eisen, Richard M Harland, Anne H Monsoro-Burq
During vertebrate neurulation, the embryonic ectoderm is patterned into lineage progenitors for neural plate, neural crest, placodes and epidermis. Here, we use Xenopus laevis embryos to analyze the spatial and temporal transcriptome of distinct ectodermal domains in the course of neurulation, during the establishment of cell lineages. In order to define the transcriptome of small groups of cells from a single germ layer and to retain spatial information, dorsal and ventral ectoderm was subdivided along the anterior-posterior and medial-lateral axes by microdissections...
October 19, 2017: PLoS Biology
https://www.readbyqxmd.com/read/29048604/influence-of-darpp-32-genetic-variation-on-bold-activation-to-happy-faces
#9
Ninni Persson, Catarina Lavebratt, Natalie C Ebner, Håkan Fischer
Dopaminergic pathways play a crucial role in reward processing, and advanced age can modulate its efficiency. DARPP-32 controls dopaminergic function and is a chemical nexus of reward processing. In 61 younger (20-30 years) and older adults (54% ♀) (65-74 years), we examined how blood-oxygen-level dependent (BOLD) activation to emotional faces, vary over genotypes at three single nucleotide polymorphism (SNPs), coding for DARPP-32 (rs879606; rs907094; 3764352). We also assessed age-magnification of DARPP-32 effects on BOLD activation...
October 1, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/29048247/spatio-temporal-dynamics-of-the-mirror-neuron-system-during-social-intentions
#10
Stephanie Cacioppo, Mylene Bolmont, George Monteleone
Previous research has shown that specific goals and intentions influence a person's allocation of social attention. From a neural viewpoint, a growing body of evidence suggest that the inferior fronto-parietal network, including the mirror neuron system, plays a role in the planning and the understanding of motor intentions. However, it is unclear whether and when the mirror neuron system plays a role in social intentions. Combining a behavioral task with electrical neuroimaging in 22 healthy male participants, the current study investigates whether the temporal brain dynamic of the mirror neuron system differs during two types of social intentions i...
October 19, 2017: Social Neuroscience
https://www.readbyqxmd.com/read/29047346/mapping-eqtl-by-leveraging-multiple-tissues-and-dna-methylation
#11
Chaitanya R Acharya, Kouros Owzar, Andrew S Allen
BACKGROUND: DNA methylation is an important tissue-specific epigenetic event that influences transcriptional regulation of gene expression. Differentially methylated CpG sites may act as mediators between genetic variation and gene expression, and this relationship can be exploited while mapping multi-tissue expression quantitative trait loci (eQTL). Current multi-tissue eQTL mapping techniques are limited to only exploiting gene expression patterns across multiple tissues either in a joint tissue or tissue-by-tissue frameworks...
October 18, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29046423/the-intrinsic-physiology-of-inhibitory-neurons-changes-over-auditory-development
#12
Briana J Carroll, Richard Bertram, Richard L Hyson
During auditory development, changes in membrane properties promote the ability of excitatory neurons in the brainstem to code aspects of sound, including the level and timing of a stimulus. Some of these changes coincide with hearing onset, suggesting that sound-driven neural activity produces developmental plasticity of ion channel expression. While it is known that the coding properties of excitatory neurons are modulated by inhibition in the mature system, it is unknown whether there are also developmental changes in the membrane properties of brainstem inhibitory neurons...
October 18, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/29044046/locally-extensive-meningoencephalitis-caused-by-miamiensis-avidus-syn-philasterides-dicentrarchi-in-a-zebra-shark
#13
Wen-Ta Li, Chieh Lo, Chen-Yi Su, Hsuan Kuo, Susanne Je-Han Lin, Hui-Wei Chang, Victor Fei Pang, Chian-Ren Jeng
Scuticociliatosis, caused by ciliated protozoa in the subclass Scuticociliatia of the phylum Ciliophora, can cause fatal disease in teleost fish species. However, information on scuticociliatosis in elasmobranchs is still scarce. In this report, we describe a case of locally extensive meningoencephalitis caused by Miamiensis avidus (syn. Philasterides dicentrarchi) in a 2 yr old captive zebra shark Stegostoma fasciatum. Granulocytic meningoencephalitis was observed through histological assessment. Inflammation was confined to the ventral aspect of the brain with a large number of ciliated protozoa, transforming into non-suppurative meningitis in the lateral aspect, and gradually vanished in the dorsal aspect...
October 18, 2017: Diseases of Aquatic Organisms
https://www.readbyqxmd.com/read/29042580/distorting-temporal-fine-structure-by-phase-shifting-and-its-effects-on-speech-intelligibility-and-neural-phase-locking
#14
Yingyue Xu, Maxin Chen, Petrina LaFaire, Xiaodong Tan, Claus-Peter Richter
Envelope (E) and temporal fine structure (TFS) are important features of acoustic signals and their corresponding perceptual function has been investigated with various listening tasks. To further understand the underlying neural processing of TFS, experiments in humans and animals were conducted to demonstrate the effects of modifying the TFS in natural speech sentences on both speech recognition and neural coding. The TFS of natural speech sentences was modified by distorting the phase and maintaining the magnitude...
October 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29040780/fear-boosts-the-early-neural-coding-of-faces
#15
Maria Teresa Turano, Junpeng Lao, Anne-Raphaëlle Richoz, Peter de Lissa, Sarah Belinda Aimée Degosciu, Maria Pia Viggiano, Roberto Caldara
The rapid extraction of facial identity and emotional expressions is critical for adapted social interactions. These biologically relevant abilities have been associated with early neural responses on the face sensitive N170 component. However, whether all facial expressions uniformly modulate the N170, and whether this effect occurs only when emotion categorization is task-relevant, is still unclear. To clarify this issue, we recorded high-resolution electrophysiological signals while 22 observers perceived the six basic expressions plus neutral...
October 10, 2017: Social Cognitive and Affective Neuroscience
https://www.readbyqxmd.com/read/29040434/differential-processing-of-isolated-object-and-multi-item-pop-out-displays-in-lip-and-pfc
#16
Ethan M Meyers, Andy Liang, Fumi Katsuki, Christos Constantinidis
Objects that are highly distinct from their surroundings appear to visually "pop-out." This effect is present for displays in which: (1) a single cue object is shown on a blank background, and (2) a single cue object is highly distinct from surrounding objects; it is generally assumed that these 2 display types are processed in the same way. To directly examine this, we applied a decoding analysis to neural activity recorded from the lateral intraparietal (LIP) area and the dorsolateral prefrontal cortex (dlPFC)...
October 11, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29040015/distinct-representations-of-magnitude-and-spatial-position-within-parietal-cortex-during-number-space-mapping
#17
Frank J Kanayet, Andrew Mattarella-Micke, Peter J Kohler, Anthony M Norcia, Bruce D McCandliss, James L McClelland
Mapping numbers onto space is foundational to mathematical cognition. These cognitive operations are often conceptualized in the context of a "mental number line" and involve multiple brain regions in or near the intraparietal sulcus (IPS) that have been implicated both in numeral and spatial cognition. Here we examine possible differentiation of function within these brain areas in relating numbers to spatial positions. By isolating the planning phase of a number line task and introducing spatiotopic mapping tools from fMRI into the mental number line task research, we are able to focus our analysis on the neural activity of areas in anterior IPS (aIPS) previously associated with number processing and on spatiotopically organized areas in and around posterior IPS (pIPS), while participants prepare to place a number on a number line...
October 17, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29036709/deep-learning-of-the-splicing-epi-genetic-code-reveals-a-novel-candidate-mechanism-linking-histone-modifications-to-esc-fate-decision
#18
Yungang Xu, Yongcui Wang, Jiesi Luo, Weiling Zhao, Xiaobo Zhou
Alternative splicing (AS) is a genetically and epigenetically regulated pre-mRNA processing to increase transcriptome and proteome diversity. Comprehensively decoding these regulatory mechanisms holds promise in getting deeper insights into a variety of biological contexts involving in AS, such as development and diseases. We assembled splicing (epi)genetic code, DeepCode, for human embryonic stem cell (hESC) differentiation by integrating heterogeneous features of genomic sequences, 16 histone modifications with a multi-label deep neural network...
September 28, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/29036616/deeploc-prediction-of-protein-subcellular-localization-using-deep-learning
#19
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
Motivation: The prediction of eukaryotic protein subcellular localization is a well-studied topic in bioinformatics due to its relevance in proteomics research. Many machine learning methods have been successfully applied in this task, but in most of them, predictions rely on annotation of homologues from knowledge databases. For novel proteins where no annotated homologues exist, and for predicting the effects of sequence variants, it is desirable to have methods for predicting protein properties from sequence information only...
July 7, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29036127/high-speed-all-optical-dna-local-sequence-alignment-based-on-a-three-dimensional-artificial-neural-network
#20
Ehsan Maleki, Hossein Babashah, Somayyeh Koohi, Zahra Kavehvash
This paper presents an optical processing approach for exploring a large number of genome sequences. Specifically, we propose an optical correlator for global alignment and an extended moiré matching technique for local analysis of spatially coded DNA, whose output is fed to a novel three-dimensional artificial neural network for local DNA alignment. All-optical implementation of the proposed 3D artificial neural network is developed and its accuracy is verified in Zemax. Thanks to its parallel processing capability, the proposed structure performs local alignment of 4 million sequences of 150 base pairs in a few seconds, which is much faster than its electrical counterparts, such as the basic local alignment search tool...
July 1, 2017: Journal of the Optical Society of America. A, Optics, Image Science, and Vision
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