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https://www.readbyqxmd.com/read/28230844/network-neuroscience
#1
REVIEW
Danielle S Bassett, Olaf Sporns
Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28210202/mechanisms-and-effects-of-transcranial-direct-current-stimulation
#2
James Giordano, Marom Bikson, Emily S Kappenman, Vincent P Clark, H Branch Coslett, Michael R Hamblin, Roy Hamilton, Ryan Jankord, Walter J Kozumbo, R Andrew McKinley, Michael A Nitsche, J Patrick Reilly, Jessica Richardson, Rachel Wurzman, Edward Calabrese
The US Air Force Office of Scientific Research convened a meeting of researchers in the fields of neuroscience, psychology, engineering, and medicine to discuss most pressing issues facing ongoing research in the field of transcranial direct current stimulation (tDCS) and related techniques. In this study, we present opinions prepared by participants of the meeting, focusing on the most promising areas of research, immediate and future goals for the field, and the potential for hormesis theory to inform tDCS research...
January 2017: Dose-response: a Publication of International Hormesis Society
https://www.readbyqxmd.com/read/28181877/an-in-silico-biomarker-based-method-for-the-evaluation-of-virtual-neuropsychiatric-drug-effects
#3
Peter J Siekmeier
The recent explosion in neuroscience research has markedly increased our understanding of the neurobiological correlates of many psychiatric illnesses, but this has unfortunately not translated into more effective pharmacologic treatments for these conditions. At the same time, researchers have increasingly sought out biological markers, or biomarkers, as a way to categorize psychiatric illness, as these are felt to be closer to underlying genetic and neurobiological vulnerabilities. While biomarker-based drug discovery approaches have tended to employ in vivo (e...
February 9, 2017: Neural Computation
https://www.readbyqxmd.com/read/28165881/subtle-visuomotor-deficits-and-reduced-benefit-from-practice-in-early-treated-phenylketonuria
#4
Claudia Caprile, Jaume Campistol, Laura Puigcerver, Alfonso-Pablo Gutiérrez-Mata, Itziar Alonso-Colmenero, Roser Colomé, Jordi Navarra
INTRODUCTION: Phenylketonuria (PKU) is a rare metabolic disease that causes slight-to-severe neurological symptoms. Slow performance has been observed in PKU but the influence of high-order (i.e., not purely motor) deficits and of temporary variations of the phenylalanine (Phe) level on this slowness has not been fully corroborated as yet. Response speed and the effect of motor practice during the performance of a visuomotor coordination task were measured, in a group of patients with early-treated phenylketonuria (ET PKU)...
February 6, 2017: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/28162167/-change-of-white-matter-neuronal-integrity-associated-with-spatial-navigation-impairment-in-mild-cognitive-impairment
#5
W P Li, F F Wang, J M Lu, S C Wu, W B Wu, R Y Liu, X Zhang, M Li, H Zhao, B Zhu, Y Xu, B Zhang
Objective: To analyze the correlation between white matter integrity and spatial navigation impairment in patients with mild cognitive impairment (MCI). Methods: A total of 27 MCI subjects and 24 healthy controls were enrolled from the Affiliated Drum Tower Hospital of Nanjing University Medical School from May 2015 to February 2016, who underwent 3.0 T MRI scan and 2D-computer version spatial navigation test.DTI preprocessing and tract-based spatial statistics (TBSS) were performed by PANDA.Two sample t-test and partial correlation coefficients were performed to investigate the correlation of white matter impairments and spatial navigation decline...
January 17, 2017: Zhonghua Yi Xue za Zhi [Chinese medical journal]
https://www.readbyqxmd.com/read/28138806/drd4-variants-moderate-the-impact-of-parental-characteristics-on-child-attention-deficit-hyperactivity-disorder-exploratory-evidence-from-a-multiplex-family-design
#6
Molly A Nikolas, Allison M Momany
Parental ADHD symptomatology and related impairments have been robustly associated with youth ADHD across decades of work. Notably, these factors may impede typical development of child self-regulation capabilities through both neurobiological and interpersonal processes. High heritability of estimates for the disorder further suggest that these effects are likely genetically-mediated, at least in part. Variation within the dopamine D4 receptor gene (DRD4) has been shown to moderate parental influences on youth ADHD...
January 30, 2017: Journal of Abnormal Child Psychology
https://www.readbyqxmd.com/read/28095003/cocaine-addiction-as-a-homeostatic-reinforcement-learning-disorder
#7
Mehdi Keramati, Audrey Durand, Paul Girardeau, Boris Gutkin, Serge H Ahmed
Drug addiction implicates both reward learning and homeostatic regulation mechanisms of the brain. This has stimulated 2 partially successful theoretical perspectives on addiction. Many important aspects of addiction, however, remain to be explained within a single, unified framework that integrates the 2 mechanisms. Building upon a recently developed homeostatic reinforcement learning theory, the authors focus on a key transition stage of addiction that is well modeled in animals, escalation of drug use, and propose a computational theory of cocaine addiction where cocaine reinforces behavior due to its rapid homeostatic corrective effect, whereas its chronic use induces slow and long-lasting changes in homeostatic setpoint...
January 16, 2017: Psychological Review
https://www.readbyqxmd.com/read/28088645/towards-solving-the-hard-problem-of-consciousness-the-varieties-of-brain-resonances-and-the-conscious-experiences-that-they-support
#8
REVIEW
Stephen Grossberg
The hard problem of consciousness is the problem of explaining how we experience qualia or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they are. To solve this problem, a theory of consciousness needs to link brain to mind by modeling how emergent properties of several brain mechanisms interacting together embody detailed properties of individual conscious psychological experiences. This article summarizes evidence that Adaptive Resonance Theory, or ART, accomplishes this goal...
December 6, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28077883/performance-pressure-enhances-speech-learning
#9
W Todd Maddox, Seth Koslov, Han-Gyol Yi, Bharath Chandrasekaran
Real-world speech learning often occurs in high pressure situations such as trying to communicate in a foreign country. However, the impact of pressure on speech learning success is largely unexplored. In this study, adult, native speakers of English learned non-native speech categories under pressure or no-pressure conditions. In the pressure conditions, participants were informed that they were paired with a (fictitious) partner, and that each had to independently exceed a performance criterion for both to receive a monetary bonus...
November 2016: Applied Psycholinguistics
https://www.readbyqxmd.com/read/28062244/identification-of-time-varying-neural-dynamics-from-spike-train-data-using-multiwavelet-basis-functions
#10
Song Xu, Yang Li, Qi Guo, Xiao-Feng Yang, Rosa H M Chan
BACKGROUND: Tracking the changes of neural dynamics based on neuronal spiking activities is a critical step to understand the neurobiological basis of learning from behaving animals. These dynamical neurobiological processes associated with learning are also time-varying, which makes the modeling problem challenging. NEW METHOD: We developed a novel multiwavelet-based time-varying generalized Laguerre-Volterra (TVGLV) modeling framework to study the time-varying neural dynamical systems using natural spike train data...
January 4, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28049075/abnormal-brain-oscillations-persist-after-recovery-from-bipolar-depression
#11
P Canali, S Casarotto, M Rosanova, G Sferrazza-Papa, A G Casali, O Gosseries, M Massimini, E Smeraldi, C Colombo, F Benedetti
When directly perturbed in healthy subjects, premotor cortical areas generate electrical oscillations in the beta range (20-40Hz). In schizophrenia, major depressive disorder and bipolar disorder (BD), these oscillations are markedly reduced, in terms of amplitude and frequency. However, it still remains unclear whether these abnormalities can be modulated over time, or if they can be still observed after treatment. Here, we employed transcranial magnetic stimulation (TMS) combined with EEG to assess the frontal oscillatory activity in eighteen BD patients before/after antidepressant treatments (sleep deprivation and light therapy), relative to nine healthy controls...
December 27, 2016: European Psychiatry: the Journal of the Association of European Psychiatrists
https://www.readbyqxmd.com/read/28044023/how-is-visual-salience-computed-in-the-brain-insights-from-behaviour-neurobiology-and-modelling
#12
REVIEW
Richard Veale, Ziad M Hafed, Masatoshi Yoshida
Inherent in visual scene analysis is a bottleneck associated with the need to sequentially sample locations with foveating eye movements. The concept of a 'saliency map' topographically encoding stimulus conspicuity over the visual scene has proven to be an efficient predictor of eye movements. Our work reviews insights into the neurobiological implementation of visual salience computation. We start by summarizing the role that different visual brain areas play in salience computation, whether at the level of feature analysis for bottom-up salience or at the level of goal-directed priority maps for output behaviour...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28035179/molecular-neuroimaging-in-posttraumatic-stress-disorder
#13
REVIEW
Jooyeon Jamie Im, Eun Namgung, Yejee Choi, Jung Yoon Kim, Sandy Jeong Rhie, Sujung Yoon
Over the past decade, an increasing number of neuroimaging studies have provided insight into the neurobiological mechanisms of posttraumatic stress disorder (PSTD). In particular, molecular neuroimaging techniques have been employed in examining metabolic and neurochemical processes in PTSD. This article reviews molecular neuroimaging studies in PTSD and focuses on findings using three imaging modalities including positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance spectroscopy (MRS)...
December 2016: Experimental Neurobiology
https://www.readbyqxmd.com/read/28032396/computational-neuroscience-approach-to-biomarkers-and-treatments-for-mental-disorders
#14
Noriaki Yahata, Kiyoto Kasai, Mitsuo Kawato
Psychiatry research has long experienced a stagnation stemming from a lack of understanding of the neurobiological underpinnings of phenomenologically defined mental disorders. Recently, the application of computational neuroscience to psychiatry research has shown great promise in establishing a link between phenomenological and pathophysiological aspects of mental disorders, thereby recasting current nosology in more biologically meaningful dimensions. In this review, we highlight recent investigations in computational neuroscience that undertook either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders...
December 29, 2016: Psychiatry and Clinical Neurosciences
https://www.readbyqxmd.com/read/28017817/towards-a-better-understanding-on-the-role-of-prediction-error-on-memory-processes-from-bench-to-clinic
#15
María C Krawczyk, Rodrigo S Fernández, María E Pedreira, Mariano M Boccia
psychology defines Prediction Error (PE) as a mismatch between expected and current events. It represents a unifier concept within the memory field, as it is the driving force of memory acquisition and updating. Prediction error induces updating of consolidated memories in strength or content by memory reconsolidation. This process has two different neurobiological phases, which involves the destabilization (labilization) of a consolidated memory followed by its restabilization. The aim of this work is to emphasize the functional role of PE on the neurobiology of learning and memory, integrating and discussing different research areas: behavioural, neurobiological, computational and clinical psychiatry...
December 22, 2016: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/27987559/blunted-dopamine-transmission-in-addiction-potential-mechanisms-and-implications-for-behavior
#16
REVIEW
Pierre Trifilieff, Fabien Ducrocq, Suzanne van der Veldt, Diana Martinez
Positron emission tomography (PET) imaging consistently shows blunted striatal dopamine release and decreased dopamine D2 receptor availability in addiction. Here, we review the preclinical and clinical studies indicating that this neurobiological phenotype is likely to be both a consequence of chronic drug consumption and a vulnerability factor in the development of addiction. We propose that, behaviorally, blunted striatal dopamine transmission could reflect the increased impulsivity and altered cost/benefit computations that are associated with addiction...
January 2017: Seminars in Nuclear Medicine
https://www.readbyqxmd.com/read/27931846/gaze-control-as-prediction
#17
REVIEW
John M Henderson
The recent study of overt attention during complex scene viewing has emphasized explaining gaze behavior in terms of image properties and image salience independently of the viewer's intentions and understanding of the scene. In this Opinion article, I outline an alternative approach proposing that gaze control in natural scenes can be characterized as the result of knowledge-driven prediction. This view provides a theoretical context for integrating and unifying many of the disparate phenomena observed in active scene viewing, offers the potential for integrating the behavioral study of gaze with the neurobiological study of eye movements, and provides a theoretical framework for bridging gaze control and other related areas of perception and cognition at both computational and neurobiological levels of analysis...
January 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/27917685/phosphodiesterase-10-inhibitors-in-clinical-development-for-cns-disorders
#18
Hugo Geerts, Athan Spiros, Patrick Roberts
Phosphodiesterase 10 inhibitors (PDE10-I), are conceptually attractive drugs with a potential great therapeutic window as their enriched striatal localization may likely stimulate D1R and reduce D2R downstream effects. However, so far selective PDE10-I with efficacy in animal models have not shown benefit in clinical trials and unexpectedly revealed a substantial dyskinesia motor side-effect. Areas covered: This paper reviews the underlying biological rationale of PDE10 as a target in schizophrenia, Parkinson's and Huntington's disease based on peer-reviewed published articles, the status of the different PDE10-I in clinical development for various CNS indications and explores possible reasons for the clinical trial failures and translational disconnect...
December 10, 2016: Expert Review of Neurotherapeutics
https://www.readbyqxmd.com/read/27909400/the-demise-of-the-synapse-as-the-locus-of-memory-a-looming-paradigm-shift
#19
Patrick C Trettenbrein
Synaptic plasticity is widely considered to be the neurobiological basis of learning and memory by neuroscientists and researchers in adjacent fields, though diverging opinions are increasingly being recognized. From the perspective of what we might call "classical cognitive science" it has always been understood that the mind/brain is to be considered a computational-representational system. Proponents of the information-processing approach to cognitive science have long been critical of connectionist or network approaches to (neuro-)cognitive architecture, pointing to the shortcomings of the associative psychology that underlies Hebbian learning as well as to the fact that synapses are practically unfit to implement symbols...
2016: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/27903717/deciphering-decision-making-variation-in-animal-models-of-effort-and-uncertainty-based-choice-reveals-distinct-neural-circuitries-underlying-core-cognitive-processes
#20
Catharine A Winstanley, Stan B Floresco
Maladaptive decision-making is increasingly recognized to play a significant role in numerous psychiatric disorders, such that therapeutics capable of ameliorating core impairments in judgment may be beneficial in a range of patient populations. The field of "decision neuroscience" is therefore in its ascendancy, with researchers from diverse fields bringing their expertise to bear on this complex and fascinating problem. In addition to the advances in neuroimaging and computational neuroscience that contribute enormously to this area, an increase in the complexity and sophistication of behavioral paradigms designed for nonhuman laboratory animals has also had a significant impact on researchers' ability to test the causal nature of hypotheses pertaining to the neural circuitry underlying the choice process...
November 30, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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