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https://www.readbyqxmd.com/read/28734837/neural-reuse-of-action-perception-circuits-for-language-concepts-and-communication
#1
REVIEW
Friedemann Pulvermüller
Neurocognitive and neurolinguistics theories make explicit statements relating specialized cognitive and linguistic processes to specific brain loci. These linking hypotheses are in need of neurobiological explanation. Recent mathematical models of human language mechanisms constrained by fundamental neuroscience principles and established knowledge about comparative neuroanatomy offer explanations for where, when and how language is processed in the human brain. In these models, network structure and connectivity along with action- and perception-induced correlation of neuronal activity co-determine neurocognitive mechanisms...
July 19, 2017: Progress in Neurobiology
https://www.readbyqxmd.com/read/28734836/criticality-in-the-brain-a-synthesis-of-neurobiology-models-and-cognition
#2
REVIEW
Luca Cocchi, Leonardo L Gollo, Andrew Zalesky, Michael Breakspear
Cognitive function requires the coordination of neural activity across many scales, from neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory framework focused upon any single scale will yield a comprehensive theory of brain activity and cognitive function. Modelling and analysis methods for neuroscience should aim to accommodate multiscale phenomena. Emerging research now suggests that multi-scale processes in the brain arise from so-called critical phenomena that occur very broadly in the natural world...
July 19, 2017: Progress in Neurobiology
https://www.readbyqxmd.com/read/28733975/deep-convolutional-neural-network-and-3d-deformable-approach-for-tissue-segmentation-in-musculoskeletal-magnetic-resonance-imaging
#3
Fang Liu, Zhaoye Zhou, Hyungseok Jang, Alexey Samsonov, Gengyan Zhao, Richard Kijowski
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilage and bone segmentation within the knee joint. METHODS: A fully automated segmentation pipeline was built by combining a semantic segmentation CNN and 3D simplex deformable modeling. A CNN technique called SegNet was applied as the core of the segmentation method to perform high resolution pixel-wise multi-class tissue classification...
July 21, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28733357/a-role-for-the-left-angular-gyrus-in-episodic-simulation-and-memory
#4
Preston P Thakral, Kevin P Madore, Daniel L Schacter
Functional magnetic resonance imaging (fMRI) studies indicate that episodic simulation (i.e., imagining specific future experiences) and episodic memory (i.e., remembering specific past experiences) are associated with enhanced activity in a common set of neural regions, referred to as the core network. This network comprises the hippocampus, medial prefrontal cortex, and left angular gyrus, among other regions. Because fMRI data are correlational, it is unknown whether activity increases in core network regions are critical for episodic simulation and episodic memory...
July 21, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28733243/application-of-machine-learning-in-prediction-of-hydrotrope-enhanced-solubilisation-of-indomethacin
#5
Safa A Damiati, Luigi G Martini, Norman W Smith, Jayne M Lawrence, David J Barlow
Systematic in-vitro studies have been conducted to determine the ability of a range of 10 potential hydrotropes to improve the apparent aqueous solubility of the poorly water soluble drug, indomethacin. Solubilisation of the drug in the presence of the hydrotropes was determined experimentally using high-performance liquid chromatography (HPLC) with ultraviolet (UV) detection. These experimental data, together with various known and computed physicochemical properties of the hydrotropes were thereafter used in silico to train an artificial neural network (ANN) to allow for predictions of indomethacin solubilisation...
July 18, 2017: International Journal of Pharmaceutics
https://www.readbyqxmd.com/read/28732233/piecewise-convexity-of-artificial-neural-networks
#6
Blaine Rister, Daniel L Rubin
Although artificial neural networks have shown great promise in applications including computer vision and speech recognition, there remains considerable practical and theoretical difficulty in optimizing their parameters. The seemingly unreasonable success of gradient descent methods in minimizing these non-convex functions remains poorly understood. In this work we offer some theoretical guarantees for networks with piecewise affine activation functions, which have in recent years become the norm. We prove three main results...
July 3, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28732232/periodicity-and-stability-for-variable-time-impulsive-neural-networks
#7
Hongfei Li, Chuandong Li, Tingwen Huang
The paper considers a general neural networks model with variable-time impulses. It is shown that each solution of the system intersects with every discontinuous surface exactly once via several new well-proposed assumptions. Moreover, based on the comparison principle, this paper shows that neural networks with variable-time impulse can be reduced to the corresponding neural network with fixed-time impulses under well-selected conditions. Meanwhile, the fixed-time impulsive systems can be regarded as the comparison system of the variable-time impulsive neural networks...
June 29, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28731567/integration-of-white-matter-network-is-associated-with-interindividual-differences-in-psychologically-mediated-placebo-response-in-migraine-patients
#8
Jixin Liu, Shaohui Ma, Junya Mu, Tao Chen, Qing Xu, Wanghuan Dun, Jie Tian, Ming Zhang
Individual differences of brain changes of neural communication and integration in the modular architecture of the human brain network exist for the repeated migraine attack and physical or psychological stressors. However, whether the interindividual variability in the migraine brain connectome predicts placebo response to placebo treatment is still unclear. Using DTI and graph theory approaches, we systematically investigated the topological organization of white matter networks in 71 patients with migraine without aura (MO) and 50 matched healthy controls at three levels: global network measure, nodal efficiency, and nodal intramodule/intermodule efficiency...
July 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28731557/data-mining-potential-applications-in-research-on-nutrition-and-health
#9
Marijka Batterham, Elizabeth Neale, Allison Martin, Linda Tapsell
AIM: Data mining enables further insights from nutrition-related research, but caution is required. The aim of this analysis was to demonstrate and compare the utility of data mining methods in classifying a categorical outcome derived from a nutrition-related intervention. METHODS: Baseline data (23 variables, 8 categorical) on participants (n = 295) in an intervention trial were used to classify participants in terms of meeting the criteria of achieving 10 000 steps per day...
February 2017: Nutrition & Dietetics: the Journal of the Dietitians Association of Australia
https://www.readbyqxmd.com/read/28731517/mental-steps-differential-activation-of-internal-pacemakers-in-motor-imagery-and-in-mental-imitation-of-gait
#10
Lucia Maria Sacheli, Laura Zapparoli, Carlo De Santis, Matteo Preti, Catia Pelosi, Nicola Ursino, Alberto Zerbi, Giuseppe Banfi, Eraldo Paulesu
Gait imagery and gait observation can boost the recovery of locomotion dysfunctions; yet, a neurologically justified rationale for their clinical application is lacking as much as a direct comparison of their neural correlates. Using functional magnetic resonance imaging, we measured the neural correlates of explicit motor imagery of gait during observation of in-motion videos shot in a park with a steady cam (Virtual Walking task). In a 2 × 2 factorial design, we assessed the modulatory effect of gait observation and of foot movement execution on the neural correlates of the Virtual Walking task: in half of the trials, the participants were asked to mentally imitate a human model shown while walking along the same route (mental imitation condition); moreover, for half of all the trials, the participants also performed rhythmic ankle dorsiflexion as a proxy for stepping movements...
July 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28731448/left-frontal-hub-connectivity-during-memory-performance-supports-reserve-in-aging-and-mild-cognitive-impairment
#11
Nicolai Franzmeier, Julia C Hartmann, Alexander Nw Taylor, Migeul A Araque Caballero, Lee Simon-Vermot, Katharina Buerger, Lana M Kambeitz-Ilankovic, Birgit Ertl-Wagner, Claudia Mueller, Cihan Catak, Daniel Janowitz, Robert Stahl, Martin Dichgans, Marco Duering, Michael Ewers
Reserve in aging and Alzheimer's disease (AD) is defined as maintaining cognition at a relatively high level in the presence of neurodegeneration, an ability often associated with higher education among other life factors. Recent evidence suggests that higher resting-state functional connectivity within the frontoparietal control network, specifically the left frontal cortex (LFC) hub, contributes to higher reserve. Following up these previous resting-state fMRI findings, we probed memory-task related functional connectivity of the LFC hub as a neural substrate of reserve...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28731432/multivariate-approach-for-alzheimer-s-disease-detection-using-stationary-wavelet-entropy-and-predator-prey-particle-swarm-optimization
#12
Yudong Zhang, Shuihua Wang, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz
BACKGROUND: The number of patients with Alzheimer's disease is increasing rapidly every year. Scholars often use computer vision and machine learning methods to develop an automatic diagnosis system. OBJECTIVE: In this study, we developed a novel machine learning system that can make diagnoses automatically from brain magnetic resonance images. METHODS: First, the brain imaging was processed, including skull stripping and spatial normalization...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28731267/heuristic-knowledge-based-planning-for-single-isocenter-stereotactic-radiosurgery-to-multiple-brain-metastases
#13
Benjamin P Ziemer, Parag Sanghvi, Jona Hattangadi-Gluth, Kevin L Moore
PURPOSE: Single-isocenter, volumetric modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple brain metastases (multi-mets) can deliver highly conformal dose distributions and reduce overall patient treatment time compared to other techniques. However, treatment planning for multi-met cases is highly complex due to variability in numbers and sizes of brain metastases, as well as their relative proximity to organs-at-risk (OARs). The purpose of this study was to automate the VMAT planning of multi-met cases through a knowledge-based planning (KBP) approach that adapts single target SRS dose predictions to multiple target predictions...
July 21, 2017: Medical Physics
https://www.readbyqxmd.com/read/28730732/shared-atypical-default-mode-and-salience-network-functional-connectivity-between-autism-and-schizophrenia
#14
Heng Chen, Lucina Q Uddin, Xujun Duan, Junjie Zheng, Zhiliang Long, Youxue Zhang, Xiaonan Guo, Yan Zhang, Jingping Zhao, Huafu Chen
Schizophrenia and autism spectrum disorder (ASD) are two prevalent neurodevelopmental disorders sharing some similar genetic basis and clinical features. The extent to which they share common neural substrates remains unclear. Resting-state fMRI data were collected from 35 drug-naïve adolescent participants with first-episode schizophrenia (15.6 ± 1.8 years old) and 31 healthy controls (15.4 ± 1.6 years old). Data from 22 participants with ASD (13.1 ± 3.1 years old) and 21 healthy controls (12...
July 21, 2017: Autism Research: Official Journal of the International Society for Autism Research
https://www.readbyqxmd.com/read/28729938/abnormal-resting-state-effective-connectivity-within-the-default-mode-network-in-major-depressive-disorder-a-spectral-dynamic-causal-modeling-study
#15
Liang Li, Baojuan Li, Yuanhan Bai, Wenlei Liu, Huaning Wang, Hoi-Chung Leung, Ping Tian, Linchuan Zhang, Fan Guo, Long-Biao Cui, Hong Yin, Hongbing Lu, Qingrong Tan
INTRODUCTION: Understanding the neural basis underlying major depressive disorder (MDD) is essential for the diagnosis and treatment of this mental disorder. Aberrant activation and functional connectivity of the default mode network (DMN) have been consistently found in patients with MDD. It is not known whether effective connectivity within the DMN is altered in MDD. OBJECTS: The primary object of this study is to investigate the effective connectivity within the DMN during resting state in MDD patients before and after eight weeks of antidepressant treatment...
July 2017: Brain and Behavior
https://www.readbyqxmd.com/read/28729899/evolutionary-loss-of-melanogenesis-in-the-tunicate-molgula-occulta
#16
Claudia Racioppi, Maria Carmen Valoroso, Ugo Coppola, Elijah K Lowe, C Titus Brown, Billie J Swalla, Lionel Christiaen, Alberto Stolfi, Filomena Ristoratore
BACKGROUND: Analyzing close species with diverse developmental modes is instrumental for investigating the evolutionary significance of physiological, anatomical and behavioral features at a molecular level. Many examples of trait loss are known in metazoan populations living in dark environments. Tunicates are the closest living relatives of vertebrates and typically present a lifecycle with distinct motile larval and sessile adult stages. The nervous system of the motile larva contains melanized cells associated with geotactic and light-sensing organs...
2017: EvoDevo
https://www.readbyqxmd.com/read/28729850/drug-resistant-epilepsy-multiple-hypotheses-few-answers
#17
REVIEW
Fei Tang, Anika M S Hartz, Björn Bauer
Epilepsy is a common neurological disorder that affects over 70 million people worldwide. Despite the recent introduction of new antiseizure drugs (ASDs), about one-third of patients with epilepsy have seizures refractory to pharmacotherapy. Early identification of patients who will become refractory to ASDs could help direct such patients to appropriate non-pharmacological treatment, but the complexity in the temporal patterns of epilepsy could make such identification difficult. The target hypothesis and transporter hypothesis are the most cited theories trying to explain refractory epilepsy, but neither theory alone fully explains the neurobiological basis of pharmacoresistance...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28729755/social-cognition-deficits-current-position-and-future-directions-for-neuropsychological-interventions-in-cerebrovascular-disease
#18
REVIEW
Progress Njomboro
Neuropsychological assessments of cognitive dysfunction in cerebrovascular illness commonly target basic cognitive functions involving aspects of memory, attention, language, praxis, and number processing. Here, I highlight the clinical importance of often-neglected social cognition functions. These functions recruit a widely distributed neural network, making them vulnerable in most cerebrovascular diseases. Sociocognitive deficits underlie most of the problematic social conduct observed in patients and are associated with more negative clinical outcomes (compared to nonsocial cognitive deficits)...
2017: Behavioural Neurology
https://www.readbyqxmd.com/read/28729735/the-wnt-receptor-ryk-is-a-negative-regulator-of-mammalian-dendrite-morphogenesis
#19
Vanessa Lanoue, Michael Langford, Amanda White, Kai Sempert, Lily Fogg, Helen M Cooper
The unique dendritic architecture of a given neuronal subtype determines its synaptic connectivity and ability to integrate into functional neuronal networks. It is now clear that abnormal dendritic structure is associated with neuropsychiatric and neurodegenerative disorders. Currently, however, the nature of the extrinsic factors that limit dendritic growth and branching within predetermined boundaries in the mammalian brain is poorly understood. Here we identify the Wnt receptor Ryk as a novel negative regulator of dendritic arborisation...
July 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28729647/neural-determinants-of-human-goal-directed-vs-habitual-action-control-and-their-relation-to-trait-motivation
#20
Hamdi Eryilmaz, Anais Rodriguez-Thompson, Alexandra S Tanner, Madeline Giegold, Franklin C Huntington, Joshua L Roffman
Instrumental learning is mediated by goal-directed and habit systems in the brain. While rodent studies implicate distinct prefrontal/striatal regions in goal-directed and habit learning, neural systems underpinning these two processes in humans remain poorly understood. Here, using a validated discrimination learning task that distinguishes goal-directed learning from habit learning in 72 subjects in fMRI, we investigated the corticostriatal correlates of goal-directed learning and tested whether brain activation during learning is associated with trait motivation and behavioral performance in the post-learning test phase...
July 20, 2017: Scientific Reports
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