keyword
MENU ▼
Read by QxMD icon Read
search

Nature neuroscience

keyword
https://www.readbyqxmd.com/read/29330487/a-biomarker-characterizing-neurodevelopment-with-applications-in-autism
#1
Di Wu, Jorge V José, John I Nurnberger, Elizabeth B Torres
Despite great advances in neuroscience and genetic studies, our understanding of neurodevelopmental disorders is still quite limited. An important reason is not having objective psychiatric clinical tests. Here we propose a quantitative neurodevelopment assessment by studying natural movement outputs. Movement is central to behaviors: It involves complex coordination, temporal alterations, and precise dynamic controls. We carefully analyzed the continuous movement output data, collected with high definition electromagnetic sensors at millisecond time scales...
January 12, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29325701/developmental-cognitive-neuroscience-using-latent-change-score-models-a-tutorial-and-applications
#2
REVIEW
Rogier A Kievit, Andreas M Brandmaier, Gabriel Ziegler, Anne-Laura van Harmelen, Susanne M M de Mooij, Michael Moutoussis, Ian M Goodyer, Ed Bullmore, Peter B Jones, Peter Fonagy, Ulman Lindenberger, Raymond J Dolan
Assessing and analysing individual differences in change over time is of central scientific importance to developmental neuroscience. However, the literature is based largely on cross-sectional comparisons, which reflect a variety of influences and cannot directly represent change. We advocate using latent change score (LCS) models in longitudinal samples as a statistical framework to tease apart the complex processes underlying lifespan development in brain and behaviour using longitudinal data. LCS models provide a flexible framework that naturally accommodates key developmental questions as model parameters and can even be used, with some limitations, in cases with only two measurement occasions...
November 22, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29324074/synchronization-of-electrophysiological-responses-with-speech-benefits-syntactic-information-processing
#3
Lars Meyer, Matthias Gumbert
In auditory neuroscience, electrophysiological synchronization to low-level acoustic and high-level linguistic features is well established-but its functional purpose for verbal information transmission is unclear. Based on prior evidence for a dependence of auditory task performance on delta-band oscillatory phase, we hypothesized that the synchronization of electrophysiological responses at delta-band frequency to the speech stimulus serves to implicitly align neural excitability with syntactic information...
January 11, 2018: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29320866/paradigm-shift-in-psychiatry-what-may-it-involve
#4
Paul Valent
OBJECTIVE: This study aims to examine the potential nature of an ongoing paradigm shift in psychiatry that has been suggested to be occurring. CONCLUSIONS: New findings in traumatology and neuroscience do form a potential platform for a paradigm shift. Prior conflicting paradigms are suggested to be due to biases arising from mental structures themselves. A new wholist perspective is proposed, which makes sense of and incorporates previous paradigms, and coheres recent understanding of right- and left-brain functioning and biopsychosocial traumatic processes and their ramifications...
January 1, 2018: Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists
https://www.readbyqxmd.com/read/29311143/neural-integration-of-stimulus-history-underlies-prediction-for-naturalistically-evolving-sequences
#5
Brian Maniscalco, Jennifer L Lee, Patrice Abry, Amy Lin, Tom Holroyd, Biyu J He
Forming valid predictions about the environment is crucial to survival. However, whether humans are able to form valid predictions about natural stimuli based on their temporal statistical regularities remains unknown. Here we presented subjects with tone sequences whose pitch fluctuation over time capture long-range temporal dependence structures prevalent in natural stimuli. We found that subjects were able to exploit such naturalistic statistical regularities to make valid predictions about upcoming items in a sequence...
January 8, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/29303607/immunity-a-significant-pathogenic-factor-as-well-as-an-integral-part-of-the-sychoneuroendocrine-immune-regulations
#6
F VoŽeh
Immunity plays an important role in the reactivity of the organism and, in this context, is an essential factor in the pathogenesis of many diseases. Basically, there is no system or organ in the body, whose dysfunction is not related to immunity consequences. In addition, there are also multisystem diseases simultaneously involving multiple body systems. They are not always caused by weak immunity, but also often by modified immune reactions known as overshooting. The essence of all these diseases is a change in the reactivity of the organism where immunity plays an important role...
January 5, 2018: Physiological Research
https://www.readbyqxmd.com/read/29289930/nanomaterials-at-the-neural-interface
#7
REVIEW
Denis Scaini, Laura Ballerini
Interfacing the nervous system with devices able to efficiently record or modulate the electrical activity of neuronal cells represents the underlying foundation of future theranostic applications in neurology and of current openings in neuroscience research. These devices, usually sensing cell activity via microelectrodes, should be characterized by safe working conditions in the biological milieu together with a well-controlled operation-life. The stable device/neuronal electrical coupling at the interface requires tight interactions between the electrode surface and the cell membrane...
December 28, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29287909/ethological-approach-to-social-isolation-effects-in-behavioral-studies-of-laboratory-rodents
#8
REVIEW
Hiroyuki Arakawa
The aim of the present review is to discuss how housing conditions affect behavioral performance in laboratory rodents from an ethological view. Commonly used laboratory rodents such as rats and mice, are originally captured animals that largely retain species-typical natural behaviors, while have fully adapted to a laboratory setting after long-term domestication. Laboratory settings including caging and artificial group housing are a considerable ethological factor influencing rodents' behaviors in commonly employed behavioral test paradigms, including emotional and defensive behaviors, learning and memory, and attention-related behaviors...
December 26, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/29260439/eye-movement-research-in-the-twenty-first-century-a-window-to-the-brain-mind-and-more
#9
EDITORIAL
Aasef G Shaikh, David S Zee
The study of eye movements not only addresses debilitating neuro-ophthalmological problems but has become an essential tool of basic neuroscience research. Eye movements are a classic way to evaluate brain function-traditionally in disorders affecting the brainstem and cerebellum. Abnormalities of eye movements have localizing value and help narrow the differential diagnosis of complex neurological problems. More recently, using sophisticated behavioral paradigms, measurement of eye movements has also been applied to disorders of the thalamus, basal ganglia, and cerebral cortex...
December 19, 2017: Cerebellum
https://www.readbyqxmd.com/read/29223740/statistical-models-for-brain-signals-with-properties-that-evolve-across-trials
#10
REVIEW
Hernando Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low
Most neuroscience cognitive experiments involve repeated presentations of various stimuli across several minutes or a few hours. It has been observed that brain responses, even to the same stimulus, evolve over the course of the experiment. These changes in brain activation and connectivity are believed to be associated with learning and/or habituation. In this paper, we present two general approaches to modeling dynamic brain connectivity using electroencephalograms (EEGs) recorded across replicated trials in an experiment...
December 6, 2017: NeuroImage
https://www.readbyqxmd.com/read/29215164/magnetically-guided-self-assembly-and-coding-of-3d-living-architectures
#11
Alessandro Tocchio, Naside Gozde Durmus, Kaushik Sridhar, Vigneshwaran Mani, Bukre Coskun, Rami El Assal, Utkan Demirci
In nature, cells self-assemble at the microscale into complex functional configurations. This mechanism is increasingly exploited to assemble biofidelic biological systems in vitro. However, precise coding of 3D multicellular living materials is challenging due to their architectural complexity and spatiotemporal heterogeneity. Therefore, there is an unmet need for an effective assembly method with deterministic control on the biomanufacturing of functional living systems, which can be used to model physiological and pathological behavior...
December 7, 2017: Advanced Materials
https://www.readbyqxmd.com/read/29203854/distributed-neural-representation-of-saliency-controlled-value-and-category-during-anticipation-of-rewards-and-punishments
#12
Zhihao Zhang, Jennifer Fanning, Daniel B Ehrlich, Wenting Chen, Daeyeol Lee, Ifat Levy
An extensive literature from cognitive neuroscience examines the neural representation of value, but interpretations of these existing results are often complicated by the potential confound of saliency. At the same time, recent attempts to dissociate neural signals of value and saliency have not addressed their relationship with category information. Using a multi-category valuation task that incorporates rewards and punishments of different nature, we identify distributed neural representation of value, saliency, and category during outcome anticipation...
December 4, 2017: Nature Communications
https://www.readbyqxmd.com/read/29167088/network-neuroscience-theory-of-human-intelligence
#13
REVIEW
Aron K Barbey
An enduring aim of research in the psychological and brain sciences is to understand the nature of individual differences in human intelligence, examining the stunning breadth and diversity of intellectual abilities and the remarkable neurobiological mechanisms from which they arise. This Opinion article surveys recent neuroscience evidence to elucidate how general intelligence, g, emerges from individual differences in the network architecture of the human brain. The reviewed findings motivate new insights about how network topology and dynamics account for individual differences in g, represented by the Network Neuroscience Theory...
November 2, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/29155703/modeling-amyloid-%C3%AE-42-toxicity-and-neurodegeneration-in-adult-zebrafish-brain
#14
Prabesh Bhattarai, Alvin Kuriakose Thomas, Mehmet Ilyas Cosacak, Christos Papadimitriou, Violeta Mashkaryan, Yixin Zhang, Caghan Kizil
Alzheimer's disease (AD) is a debilitating neurodegenerative disease in which accumulation of toxic amyloid-β42 (Aβ42) peptides leads to synaptic degeneration, inflammation, neuronal death, and learning deficits. Humans cannot regenerate lost neurons in the case of AD in part due to impaired proliferative capacity of the neural stem/progenitor cells (NSPCs) and reduced neurogenesis. Therefore, efficient regenerative therapies should also enhance the proliferation and neurogenic capacity of NSPCs. Zebrafish (Danio rerio) is a regenerative organism, and we can learn the basic molecular programs with which we could design therapeutic approaches to tackle AD...
October 25, 2017: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/29144411/nucleic-acid-aptamers-emerging-applications-in-medical-imaging-nanotechnology-neurosciences-and-drug-delivery
#15
REVIEW
Pascal Röthlisberger, Cécile Gasse, Marcel Hollenstein
Recent progresses in organic chemistry and molecular biology have allowed the emergence of numerous new applications of nucleic acids that markedly deviate from their natural functions. Particularly, DNA and RNA molecules-coined aptamers-can be brought to bind to specific targets with high affinity and selectivity. While aptamers are mainly applied as biosensors, diagnostic agents, tools in proteomics and biotechnology, and as targeted therapeutics, these chemical antibodies slowly begin to be used in other fields...
November 16, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/29122031/contempt%C3%A2-%C3%A2-where-the-modularity-of-the-mind-meets-the-modularity-of-the-brain
#16
Danilo Bzdok, Leonhard Schilbach
"Contempt" is proposed to be a unique aspect of human nature, yet a non-natural kind. Its psychological construct is framed as a sentiment emerging from a stratification of diverse basic emotions and dispositional attitudes. Accordingly, "contempt" might transcend traditional conceptual levels in social psychology, including experience and recognition of emotion, dyadic and group dynamics, context-conditioned attitudes, time-enduring personality structure, and morality. This strikes us as a modern psychological account of a high-level, social-affective cognitive facet that joins forces with recent developments in the social neuroscience by drawing psychological conclusions from brain biology...
January 2017: Behavioral and Brain Sciences
https://www.readbyqxmd.com/read/29099403/considerations-for-the-use-of-virally-delivered-genetic-tools-for-in-vivo-circuit-analysis-and-behavior-in-mutant-mice-a-practical-guide-to-optogenetics
#17
Dóra Zelena, Kornél Demeter, József Haller, Diána Balázsfi
Optogenetics was the method of the year in 2010 according to Nature Neuroscience. Since then, this method has become widespread, the use of virally delivered genetic tools has extended to other fields such as pharmacogenetics, and optogenetic techniques have become frequently applied in genetically manipulated animals for in-vivo circuit analysis and behavioral studies. However, several issues should be taken into consideration when planning such experiments. We aimed to summarize the critical points concerning optogenetic manipulation of a specific brain area in mutant mice...
December 2017: Behavioural Pharmacology
https://www.readbyqxmd.com/read/29071353/linking-normative-models-of-natural-tasks-to-descriptive-models-of-neural-response
#18
Priyank Jaini, Johannes Burge
Understanding how nervous systems exploit task-relevant properties of sensory stimuli to perform natural tasks is fundamental to the study of perceptual systems. However, there are few formal methods for determining which stimulus properties are most useful for a given natural task. As a consequence, it is difficult to develop principled models for how to compute task-relevant latent variables from natural signals, and it is difficult to evaluate descriptive models fit to neural response. Accuracy maximization analysis (AMA) is a recently developed Bayesian method for finding the optimal task-specific filters (receptive fields)...
October 1, 2017: Journal of Vision
https://www.readbyqxmd.com/read/29071301/action-monitoring-cortical-activity-coupled-to-submovements
#19
Michael Pereira, Aleksander Sobolewski, José Del R Millán
Numerous studies have examined neural correlates of the human brain's action-monitoring system during experimentally segmented tasks. However, it remains unknown how such a system operates during continuous motor output when no experimental time marker is available (such as button presses or stimulus onset). We set out to investigate the electrophysiological correlates of action monitoring when hand position has to be repeatedly monitored and corrected. For this, we recorded high-density electroencephalography (EEG) during a visuomotor tracking task during which participants had to follow a target with the mouse cursor along a visible trajectory...
September 2017: ENeuro
https://www.readbyqxmd.com/read/29059185/decoding-brain-activity-using-a-large-scale-probabilistic-functional-anatomical-atlas-of-human-cognition
#20
Timothy N Rubin, Oluwasanmi Koyejo, Krzysztof J Gorgolewski, Michael N Jones, Russell A Poldrack, Tal Yarkoni
A central goal of cognitive neuroscience is to decode human brain activity-that is, to infer mental processes from observed patterns of whole-brain activation. Previous decoding efforts have focused on classifying brain activity into a small set of discrete cognitive states. To attain maximal utility, a decoding framework must be open-ended, systematic, and context-sensitive-that is, capable of interpreting numerous brain states, presented in arbitrary combinations, in light of prior information. Here we take steps towards this objective by introducing a probabilistic decoding framework based on a novel topic model-Generalized Correspondence Latent Dirichlet Allocation-that learns latent topics from a database of over 11,000 published fMRI studies...
October 2017: PLoS Computational Biology
keyword
keyword
26676
1
2
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"