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https://www.readbyqxmd.com/read/28821381/evidence-from-blindness-for-a-cognitively-pluripotent-cortex
#1
REVIEW
Marina Bedny
Cognitive neuroscience seeks to discover how cognitive functions are implemented in neural circuits. Studies of plasticity in blindness suggest that this mind-brain mapping is highly flexible during development. In blindness, 'visual' cortices take on higher-cognitive functions, including language and mathematics, becoming sensitive to the grammatical structure of spoken sentences and the difficulty of math equations. Visual cortex activity at rest becomes synchronized with higher-cognitive networks. Such repurposing is striking in light of the cognitive and evolutionary differences between vision, language, and mathematics...
July 8, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28821345/evidence-from-blindness-for-a-cognitively-pluripotent-cortex
#2
REVIEW
Marina Bedny
Cognitive neuroscience seeks to discover how cognitive functions are implemented in neural circuits. Studies of plasticity in blindness suggest that this mind-brain mapping is highly flexible during development. In blindness, 'visual' cortices take on higher-cognitive functions, including language and mathematics, becoming sensitive to the grammatical structure of spoken sentences and the difficulty of math equations. Visual cortex activity at rest becomes synchronized with higher-cognitive networks. Such repurposing is striking in light of the cognitive and evolutionary differences between vision, language, and mathematics...
September 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28820675/on-the-role-of-situational-stressors-in-the-disruption-of-global-neural-network-stability-during-problem-solving
#3
Mengting Liu, Chad E Forbes, Rachel C Amey
When individuals are placed in stressful situations, they are likely to exhibit deficits in cognitive capacity over and above situational demands. Despite this, individuals may still persevere and ultimately succeed in these situations. Little is known, however, about neural network properties that instantiate success or failure in both neutral and stressful situations, particularly with respect to regions integral for problem-solving processes that are necessary for optimal performance on more complex tasks...
August 18, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28819162/inter-brain-network-underlying-turn-based-cooperation-and-competition-a-hyperscanning-study-using-near-infrared-spectroscopy
#4
Tao Liu, Godai Saito, Chenhui Lin, Hirofumi Saito
The present study examined neural substrates underlying turn-based cooperation and competition in a real two-person situation. We simultaneously measured pairs of participants' activations in their bilateral frontal, temporal, and parietal regions using a 96-channel near-infrared spectroscopy (NIRS) system, when participants played a turn-taking disk-game on a computer. NIRS data demonstrated significant inter-brain neural synchronization (INS) across participant pairs' right posterior superior temporal sulcus (pSTS) in both the cooperation and competition conditions, and the competition condition also involved significant INS in the right inferior parietal lobule (IPL)...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28814031/evaluation-of-walking-smoothness-using-wearable-robotic-system-curara%C3%A2-for-spinocerebellar-degeneration-patients
#5
Atsushi Tsukahara, Kunihiro Yoshida, Akira Matsushima, Kumiko Ajima, Chika Kuroda, Noriaki Mizukami, Minoru Hashimoto
This paper aimed to verify the effectiveness of the wearable robotic system "curara" for patients with spinocerebellar degeneration (SCD) by evaluating walking smoothness. The curara system supports the wearer's gait using a synchronization control method that uses a neural oscillator based on a central pattern generator network. The system reflects the motional intention by adjusting the synchronization gains. This modifies the degree of interactive coordinated motion between the curara and the wearer. As a feasibility study, we evaluated the waking smoothness of 10 patients with SCD using three gain condition settings...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28806599/resting-state-functional-connectivity-of-the-anterior-striatum-and-prefrontal-cortex-predicts-reading-performance-in-school-age-children
#6
Sarael Alcauter, Liliana García-Mondragón, Zeus Gracia-Tabuenca, Martha B Moreno, Juan J Ortiz, Fernando A Barrios
The current study investigated the neural basis of reading performance in 60 school-age Spanish-speaking children, aged 6 to 9years. By using a data-driven approach and an automated matching procedure, we identified a left-lateralized resting state network that included typical language regions (Wernicke's and Broca's regions), prefrontal cortex, pre- and post-central gyri, superior and middle temporal gyri, cerebellum, and subcortical regions, and explored its relevance for reading performance (accuracy, comprehension and speed)...
August 11, 2017: Brain and Language
https://www.readbyqxmd.com/read/28803867/dynamics-of-eeg-functional-connectivity-during-statistical-learning
#7
Brigitta Tóth, Karolina Janacsek, Ádám Takács, Andrea Kóbor, Zsófia Zavecz, Dezso Nemeth
Statistical learning is a fundamental mechanism of the brain, which extracts and represents regularities of our environment. Statistical learning is crucial in predictive processing, and in the acquisition of perceptual, motor, cognitive, and social skills. Although previous studies have revealed competitive neurocognitive processes underlying statistical learning, the neural communication of the related brain regions (functional connectivity, FC) has not yet been investigated. The present study aimed to fill this gap by investigating FC networks that promote statistical learning in humans...
August 10, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28802870/audio-visual-synchrony-and-spatial-attention-enhance-processing-of-dynamic-visual-stimulation-independently-and-in-parallel-a-frequency-tagging-study
#8
Amra Covic, Christian Keitel, Emanuele Porcu, Erich Schröger, Matthias M Müller
The neural processing of a visual stimulus can be facilitated by attending to its position or by a co-occurring auditory tone. Using frequency-tagging, we investigated whether facilitation by spatial attention and audio-visual synchrony rely on similar neural processes. Participants attended to one of two flickering Gabor patches (14.17 and 17 Hz) located in opposite lower visual fields. Gabor patches further "pulsed" (i.e. showed smooth spatial frequency variations) at distinct rates (3.14 and 3.63 Hz). Frequency-modulating an auditory stimulus at the pulse-rate of one of the visual stimuli established audio-visual synchrony...
August 9, 2017: NeuroImage
https://www.readbyqxmd.com/read/28800613/ongoing-slow-oscillatory-phase-modulates-speech-intelligibility-in-cooperation-with-motor-cortical-activity
#9
Takayuki Onojima, Keiichi Kitajo, Hiroaki Mizuhara
Neural oscillation is attracting attention as an underlying mechanism for speech recognition. Speech intelligibility is enhanced by the synchronization of speech rhythms and slow neural oscillation, which is typically observed as human scalp electroencephalography (EEG). In addition to the effect of neural oscillation, it has been proposed that speech recognition is enhanced by the identification of a speaker's motor signals, which are used for speech production. To verify the relationship between the effect of neural oscillation and motor cortical activity, we measured scalp EEG, and simultaneous EEG and functional magnetic resonance imaging (fMRI) during a speech recognition task in which participants were required to recognize spoken words embedded in noise sound...
2017: PloS One
https://www.readbyqxmd.com/read/28798683/enhanced-gamma-activity-and-cross-frequency-interaction-of-resting-state-electroencephalographic-oscillations-in-patients-with-alzheimer-s-disease
#10
Jing Wang, Yuxing Fang, Xiao Wang, Huichao Yang, Xin Yu, Huali Wang
Cognitive impairment, functional decline and behavioral symptoms that characterize Alzheimer's disease (AD) are associated with perturbations of the neuronal network. The typical electroencephalographic (EEG) features in AD patients are increased delta or theta rhythm and decreased alpha or beta rhythm activities. However, considering the role of cross-frequency couplings in cognition, the alternation of cross-frequency couplings in AD patients is still obscure. This study aims to explore the interaction dynamics between different EEG oscillations in AD patients...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28796624/synchronizing-neural-networks-with-proportional-delays-based-on-a-class-of-q-type-allowable-time-scales
#11
Zhenkun Huang, Honghua Bin, Jinde Cao, Boyu Wang
Without confines of the continuous-time domain, this paper addresses synchronization control problem of neural networks in the face of multiple proportional delays on general time scales. The idea to deal with proportional delays is to propose a class of q-type allowable time scales on which we design an appropriate controller to achieve exponential synchronization based on a calculus theory on time scales and Lyapunov function/functional methods. It is shown that adopting properties of q-type time scales is an effective approach to establish synchronization for the networks with proportional delays...
August 8, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28792931/chaotic-dynamics-in-nanoscale-nbo2-mott-memristors-for-analogue-computing
#12
Suhas Kumar, John Paul Strachan, R Stanley Williams
At present, machine learning systems use simplified neuron models that lack the rich nonlinear phenomena observed in biological systems, which display spatio-temporal cooperative dynamics. There is evidence that neurons operate in a regime called the edge of chaos that may be central to complexity, learning efficiency, adaptability and analogue (non-Boolean) computation in brains. Neural networks have exhibited enhanced computational complexity when operated at the edge of chaos, and networks of chaotic elements have been proposed for solving combinatorial or global optimization problems...
August 9, 2017: Nature
https://www.readbyqxmd.com/read/28791331/temporal-processing-in-the-visual-cortex-of-the-awake-and-anesthetized-rat
#13
Ida E J Aasebø, Mikkel E Lepperød, Maria Stavrinou, Sandra Nøkkevangen, Gaute Einevoll, Torkel Hafting, Marianne Fyhn
The activity pattern and temporal dynamics within and between neuron ensembles are essential features of information processing and believed to be profoundly affected by anesthesia. Much of our general understanding of sensory information processing, including computational models aimed at mathematically simulating sensory information processing, rely on parameters derived from recordings conducted on animals under anesthesia. Due to the high variety of neuronal subtypes in the brain, population-based estimates of the impact of anesthesia may conceal unit- or ensemble-specific effects of the transition between states...
July 2017: ENeuro
https://www.readbyqxmd.com/read/28790966/randomized-controlled-study-of-a-remote-flipped-classroom-neuro-otology-curriculum
#14
Frederick Robert Carrick, Mahera Abdulrahman, Ahmed Hankir, Maksim Zayaruzny, Kinda Najem, Palita Lungchukiet, Roger A Edwards
CONTEXT: Medical Education can be delivered in the traditional classroom or via novel technology including an online classroom. OBJECTIVE: To test the hypothesis that learning in an online classroom would result in similar outcomes as learning in the traditional classroom when using a flipped classroom pedagogy. DESIGN: Randomized controlled trial. A total of 274 subjects enrolled in a Neuro-otology training program for non-Neuro-otologists of 25 h held over a 3-day period...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28783655/a-flexible-terminal-approach-to-sampled-data-exponentially-synchronization-of-markovian-neural-networks-with-time-varying-delayed-signals
#15
Jun Cheng, Ju H Park, Hamid Reza Karimi, Hao Shen
This paper investigates the problem of sampled-data (SD) exponentially synchronization for a class of Markovian neural networks with time-varying delayed signals. Based on the tunable parameter and convex combination computational method, a new approach named flexible terminal approach is proposed to reduce the conservatism of delay-dependent synchronization criteria. The SD subject to stochastic sampling period is introduced to exhibit the general phenomena of reality. Novel exponential synchronization criterion are derived by utilizing uniform Lyapunov-Krasovskii functional and suitable integral inequality...
August 2, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28775328/inhibition-of-glutamate-decarboxylase-gad-by-ethyl-ketopentenoate-ekp-induces-treatment-resistant-epileptic-seizures-in-zebrafish
#16
Yifan Zhang, Michiel Vanmeert, Aleksandra Siekierska, Annelii Ny, Jubi John, Geert Callewaert, Eveline Lescrinier, Wim Dehaen, Peter A M de Witte, Rafal M Kaminski
Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormal, excessive and synchronous neuronal activities in the brain. It affects approximately 65 million people worldwide, one third of which are still estimated to suffer from refractory seizures. Glutamic acid decarboxylase (GAD) that converts glutamate into GABA is a key enzyme in the dynamic regulation of neural network excitability. Importantly, clinical evidence shows that lowered GAD activity is associated with several forms of epilepsy which are often treatment resistant...
August 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28770038/erratum-to-neural-synchronization-deficits-linked-to-cortical-hyper-excitability-and-auditory-hypersensitivity-in-fragile-x-syndrome
#17
Lauren E Ethridge, Stormi P White, Matthew W Mosconi, Jun Wang, Ernest V Pedapati, Craig A Erickson, Matthew J Byerly, John A Sweeney
[This corrects the article DOI: 10.1186/s13229-017-0140-1.].
2017: Molecular Autism
https://www.readbyqxmd.com/read/28769752/spoken-word-recognition-enhancement-due-to-preceding-synchronized-beats-compared-to-unsynchronized-or-unrhythmic-beats
#18
Christos Sidiras, Vasiliki Iliadou, Ioannis Nimatoudis, Tobias Reichenbach, Doris-Eva Bamiou
The relation between rhythm and language has been investigated over the last decades, with evidence that these share overlapping perceptual mechanisms emerging from several different strands of research. The dynamic Attention Theory posits that neural entrainment to musical rhythm results in synchronized oscillations in attention, enhancing perception of other events occurring at the same rate. In this study, this prediction was tested in 10 year-old children by means of a psychoacoustic speech recognition in babble paradigm...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28768322/state-dependent-cross-brain-information-flow-in-borderline-personality-disorder
#19
Edda Bilek, Gabriela Stößel, Axel Schäfer, Laura Clement, Matthias Ruf, Lydia Robnik, Corinne Neukel, Heike Tost, Peter Kirsch, Andreas Meyer-Lindenberg
Importance: Although borderline personality disorder (BPD)-one of the most common, burdensome, and costly psychiatric conditions-is characterized by repeated interpersonal conflict and instable relationships, the neurobiological mechanism of social interactive deficits remains poorly understood. Objective: To apply recent advancements in the investigation of 2-person human social interaction to investigate interaction difficulties among people with BPD. Design, Setting, and Participants: Cross-brain information flow in BPD was examined from May 25, 2012, to December 4, 2015, in pairs of participants studied in 2 linked functional magnetic resonance imaging scanners in a university setting...
August 2, 2017: JAMA Psychiatry
https://www.readbyqxmd.com/read/28764396/atypical-transistor-based-chaotic-oscillators-design-realization-and-diversity
#20
Ludovico Minati, Mattia Frasca, Paweł Oświȩcimka, Luca Faes, Stanisław Drożdż
In this paper, we show that novel autonomous chaotic oscillators based on one or two bipolar junction transistors and a limited number of passive components can be obtained via random search with suitable heuristics. Chaos is a pervasive occurrence in these circuits, particularly after manual adjustment of a variable resistor placed in series with the supply voltage source. Following this approach, 49 unique circuits generating chaotic signals when physically realized were designed, representing the largest collection of circuits of this kind to date...
July 2017: Chaos
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