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Decision making networks

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https://www.readbyqxmd.com/read/28213446/acetylcholine-release-in-prefrontal-cortex-promotes-gamma-oscillations-and-theta-gamma-coupling-during-cue-detection
#1
W M Howe, H J Gritton, N Lusk, Erik A Roberts, Vaughn L Hetrick, Joshua D Berke, Martin Sarter
The capacity for using external cues to guide behavior ("cue detection") constitutes an essential aspect of attention and goal-directed behavior. The cortical cholinergic input system, via phasic increases in prefrontal acetylcholine release, plays an essential role in attention by mediating such cue detection. However, the relationship between cholinergic signaling during cue detection and neural activity dynamics in prefrontal networks remains unclear. Here we combined sub-second measures of cholinergic signaling, neurophysiological recordings, and cholinergic receptor blockade to delineate the cholinergic contributions to prefrontal oscillations during cue detection in rats...
February 17, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28212969/lessons-learned-when-introducing-pharmacogenomic-panel-testing-into-clinical-practice
#2
Marc B Rosenman, Brian Decker, Kenneth D Levy, Ann M Holmes, Victoria M Pratt, Michael T Eadon
OBJECTIVES: Implementing new programs to support precision medicine in clinical settings is a complex endeavor. We describe challenges and potential solutions based on the Indiana GENomics Implementation: an Opportunity for the Underserved (INGenious) program at Eskenazi Health-one of six sites supported by the Implementing GeNomics In pracTicE network grant of the National Institutes of Health/National Human Genome Research Institute. INGenious is an implementation of a panel of genomic tests...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212440/emergent-inequality-and-self-organized-social-classes-in-a-network-of-power-and-frustration
#3
Benoit Mahault, Avadh Saxena, Cristiano Nisoli
We propose a simple agent-based model on a network to conceptualize the allocation of limited wealth among more abundant expectations at the interplay of power, frustration, and initiative. Concepts imported from the statistical physics of frustrated systems in and out of equilibrium allow us to compare subjective measures of frustration and satisfaction to collective measures of fairness in wealth distribution, such as the Lorenz curve and the Gini index. We find that a completely libertarian, law-of-the-jungle setting, where every agent can acquire wealth from or lose wealth to anybody else invariably leads to a complete polarization of the distribution of wealth vs...
2017: PloS One
https://www.readbyqxmd.com/read/28209979/fractionating-impulsivity-neuropsychiatric-implications
#4
REVIEW
Jeffrey W Dalley, Trevor W Robbins
The ability to make decisions and act quickly without hesitation can be advantageous in many settings. However, when persistently expressed, impulsive decisions and actions are considered risky, maladaptive and symptomatic of such diverse brain disorders as attention-deficit hyperactivity disorder, drug addiction and affective disorders. Over the past decade, rapid progress has been made in the identification of discrete neural networks that underlie different forms of impulsivity - from impaired response inhibition and risky decision making to a profound intolerance of delayed rewards...
February 17, 2017: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/28207733/beyond-negative-valence-2-week-administration-of-a-serotonergic-antidepressant-enhances-both-reward-and-effort-learning-signals
#5
Jacqueline Scholl, Nils Kolling, Natalie Nelissen, Michael Browning, Matthew F S Rushworth, Catherine J Harmer
To make good decisions, humans need to learn about and integrate different sources of appetitive and aversive information. While serotonin has been linked to value-based decision-making, its role in learning is less clear, with acute manipulations often producing inconsistent results. Here, we show that when the effects of a selective serotonin reuptake inhibitor (SSRI, citalopram) are studied over longer timescales, learning is robustly improved. We measured brain activity with functional magnetic resonance imaging (fMRI) in volunteers as they performed a concurrent appetitive (money) and aversive (effort) learning task...
February 2017: PLoS Biology
https://www.readbyqxmd.com/read/28205306/multi-site-quality-and-variability-analysis-of-3d-fdg-pet-segmentations-based-on-phantom-and-clinical-image-data
#6
Reinhard R Beichel, Brian J Smith, Christian Bauer, Ethan J Ulrich, Payam Ahmadvand, Mikalai M Budzevich, Robert J Gillies, Dmitry Goldgof, Milan Grkovski, Ghassan Hamarneh, Qiao Huang, Paul E Kinahan, Charles M Laymon, James M Mountz, John P Muzi, Mark Muzi, Sadek Nehmeh, Matthew J Oborski, Yongqiang Tan, Binsheng Zhao, John J Sunderland, John M Buatti
PURPOSE: Radiomics utilizes a large number of image-derived features for quantifying tumor characteristics that can in turn be correlated with response and prognosis. Unfortunately, extraction and analysis of such image-based features is subject to measurement variability and bias. The challenge for radiomics is particularly acute in Positron Emission Tomography (PET) where limited resolution, a high noise component related to the limited stochastic nature of the raw data, and the wide variety of reconstruction options confound quantitative feature metrics...
February 2017: Medical Physics
https://www.readbyqxmd.com/read/28204986/validation-workflow-for-a-clinical-bayesian-network-model-in-multidisciplinary-decision-making-in-head-and-neck-oncology-treatment
#7
Mario A Cypko, Matthaeus Stoehr, Marcin Kozniewski, Marek J Druzdzel, Andreas Dietz, Leonard Berliner, Heinz U Lemke
PURPOSE: Oncological treatment is being increasingly complex, and therefore, decision making in multidisciplinary teams is becoming the key activity in the clinical pathways. The increased complexity is related to the number and variability of possible treatment decisions that may be relevant to a patient. In this paper, we describe validation of a multidisciplinary cancer treatment decision in the clinical domain of head and neck oncology. METHOD: Probabilistic graphical models and corresponding inference algorithms, in the form of Bayesian networks, can support complex decision-making processes by providing a mathematically reproducible and transparent advice...
February 15, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28203201/modulation-of-synaptic-plasticity-in-the-cortex-needs-to-understand-all-the-players
#8
REVIEW
Claire N J Meunier, Pascal Chameau, Philippe M Fossier
The prefrontal cortex (PFC) is involved in cognitive tasks such as working memory, decision making, risk assessment and regulation of attention. These functions performed by the PFC are supposed to rely on rhythmic electrical activity generated by neuronal network oscillations determined by a precise balance between excitation and inhibition balance (E/I balance) resulting from the coordinated activities of recurrent excitation and feedback and feedforward inhibition. Functional alterations in PFC functions have been associated with cognitive deficits in several pathologies such as major depression, anxiety and schizophrenia...
2017: Frontiers in Synaptic Neuroscience
https://www.readbyqxmd.com/read/28203120/international-lessons-in-new-methods-for-grading-and-integrating-cost-effectiveness-evidence-into-clinical-practice-guidelines
#9
REVIEW
Kathryn M Antioch, Michael F Drummond, Louis W Niessen, Hindrik Vondeling
Economic evidence is influential in health technology assessment world-wide. Clinical Practice Guidelines (CPG) can enable economists to include economic information on health care provision. Application of economic evidence in CPGs, and its integration into clinical practice and national decision making is hampered by objections from professions, paucity of economic evidence or lack of policy commitment. The use of state-of-art economic methodologies will improve this. Economic evidence can be graded by 'checklists' to establish the best evidence for decision making given methodological rigor...
2017: Cost Effectiveness and Resource Allocation: C/E
https://www.readbyqxmd.com/read/28195556/how-neuroscience-can-inform-the-study-of-individual-differences-in-cognitive-abilities
#10
Dennis J McFarland
Theories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks...
February 14, 2017: Reviews in the Neurosciences
https://www.readbyqxmd.com/read/28188604/-contextualizing-context-reconciling-environmental-exposures-social-networks-and-location-preferences-in-health-research
#11
REVIEW
Yan Kestens, Rania Wasfi, Alexandre Naud, Basile Chaix
PURPOSE OF REVIEW: The aim of this paper is to review the recent advances in health and place research and discuss concepts useful to explore how context affects health. More specifically, it reviews measures and tools used to account for place; concepts relating to daily mobility and multiple exposure to places, and further points to the intertwining between social and spatial networks to help further our understanding of how context translates into health profiles. RECENT FINDINGS: Significant advances in environmental or neighborhood effects have been made in the last decades...
February 10, 2017: Current Environmental Health Reports
https://www.readbyqxmd.com/read/28178958/informing-the-implementation-of-evidence-informed-decision-making-interventions-using-a-social-network-analysis-perspective-a-mixed-methods-study
#12
Reza Yousefi Nooraie, Lynne Lohfeld, Alexandra Marin, Robert Hanneman, Maureen Dobbins
BACKGROUND: Workforce development is an important aspect of evidence-informed decision making (EIDM) interventions. The structure of formal and informal social networks can influence, and be influenced, by the implementation of EIDM interventions. METHODS: In a mixed methods study we assessed the outcomes of a targeted training intervention to promote EIDM among the staff in three public health units in Ontario, Canada. This report focuses on the qualitative phase of the study in which key staff were interviewed about the process of engagement in the intervention, communications during the intervention, and social consequences...
February 8, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28170417/genetic-interaction-mapping-with-microfluidic-based-single-cell-sequencing
#13
John R Haliburton, Wenjun Shao, Adam Deutschbauer, Adam Arkin, Adam R Abate
Genetic interaction mapping is useful for understanding the molecular basis of cellular decision making, but elucidating interactions genome-wide is challenging due to the massive number of gene combinations that must be tested. Here, we demonstrate a simple approach to thoroughly map genetic interactions in bacteria using microfluidic-based single cell sequencing. Using single cell PCR in droplets, we link distinct genetic information into single DNA sequences that can be decoded by next generation sequencing...
2017: PloS One
https://www.readbyqxmd.com/read/28167394/deep-ensemble-learning-of-sparse-regression-models-for-brain-disease-diagnosis
#14
Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effectiveness in handling high-dimensional data but with a small number of training samples, especially in medical problems. In the meantime, deep learning methods have been making great successes by outperforming the state-of-the-art performances in various applications...
January 24, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28166798/identifying-and-characterising-health-policy-and-system-relevant-documents-in-uganda-a-scoping-review-to-develop-a-framework-for-the-development-of-a-one-stop-shop
#15
Boniface Mutatina, Robert Basaza, Ekwaro Obuku, John N Lavis, Nelson Sewankambo
BACKGROUND: Health policymakers in low- and middle-income countries continue to face difficulties in accessing and using research evidence for decision-making. This study aimed to identify and provide a refined categorisation of the policy documents necessary for building the content of a one-stop shop for documents relevant to health policy and systems in Uganda. The on-line resource is to facilitate timely access to well-packaged evidence for decision-making. METHODS: We conducted a scoping review of Uganda-specific, health policy, and systems-relevant documents produced between 2000 and 2014...
February 6, 2017: Health Research Policy and Systems
https://www.readbyqxmd.com/read/28160942/correlation-between-symptoms-and-external-characteristics-of-cracked-teeth-findings-from-the-national-dental-practice-based-research-network
#16
Thomas J Hilton, Ellen Funkhouser, Jack L Ferracane, Gregg H Gilbert, Camille Baltuck, Paul Benjamin, David Louis, Rahma Mungia, Cyril Meyerowitz
BACKGROUND: Cracked teeth are ubiquitous in the adult dentition. The objective of this study was to determine which patient traits and behaviors and external tooth and crack characteristics correlate with cracked teeth being symptomatic. METHODS: Dentists in The National Dental Practice-Based Research Network enrolled a convenience sample of patients each with a single, vital posterior tooth with at least 1 observable external crack in this observational study; they enrolled 2,975 cracked teeth from 209 practitioners...
February 2, 2017: Journal of the American Dental Association
https://www.readbyqxmd.com/read/28160752/motor-preparation-rather-than-decision-making-differentiates-parkinson-s-disease-patients-with-and-without-freezing-of-gait
#17
John S Butler, Conor Fearon, Isabelle Killane, Saskia M Waechter, Richard B Reilly, Timothy Lynch
OBJECTIVE: Freezing of gait (FOG) is a brief, episodic phenomenon affecting over half of people with Parkinson's disease (PD) and leads to significant morbidity. The pathophysiology of FOG remains poorly understood but is associated with deficits in cognitive function and motor preparation. METHOD: We studied 20 people with PD (10 with FOG, 10 without FOG) and performed a timed response target detection task while electroencephalographic data were acquired. We analysed the data to detect and examine cortical markers of cognitive decision making (P3b or centroparietal positivity, CPP) and motor readiness potential...
December 28, 2016: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28160031/planning-for-the-maintenance-of-floristic-diversity-in-the-face-of-land-cover-and-climate-change
#18
Debbie Jewitt, Peter S Goodman, Barend F N Erasmus, Timothy G O'Connor, Ed T F Witkowski
Habitat loss and climate change are primary drivers of global biodiversity loss. Species will need to track changing environmental conditions through fragmented and transformed landscapes such as KwaZulu-Natal, South Africa. Landscape connectivity is an important tool for maintaining resilience to global change. We develop a coarse-grained connectivity map between protected areas to aid decision-making for implementing corridors to maintain floristic diversity in the face of global change. The spatial location of corridors was prioritised using a biological underpinning of floristic composition that incorporated high beta diversity regions, important plant areas, climate refugia, and aligned to major climatic gradients driving floristic pattern...
February 4, 2017: Environmental Management
https://www.readbyqxmd.com/read/28158189/insect-bio-inspired-neural-network-provides-new-evidence-on-how-simple-feature-detectors-can-enable-complex-visual-generalization-and-stimulus-location-invariance-in-the-miniature-brain-of-honeybees
#19
Mark Roper, Chrisantha Fernando, Lars Chittka
The ability to generalize over naturally occurring variation in cues indicating food or predation risk is highly useful for efficient decision-making in many animals. Honeybees have remarkable visual cognitive abilities, allowing them to classify visual patterns by common features despite having a relatively miniature brain. Here we ask the question whether generalization requires complex visual recognition or whether it can also be achieved with relatively simple neuronal mechanisms. We produced several simple models inspired by the known anatomical structures and neuronal responses within the bee brain and subsequently compared their ability to generalize achromatic patterns to the observed behavioural performance of honeybees on these cues...
February 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28152827/changing-physician-compensation-and-implementing-new-technology-to-enhance-pathways-compliance
#20
John Russell Hoverman, Nate Gosse, Marcus A Neubauer, Vanessa Torres
: 187 Background: Pathways have shown to decrease cost of care while maintaining efficacy of treatment. In 2005, The US Oncology Network, which includes Texas Oncology, P.A. (TOPA) developed physician-led clinical pathways based on national guidelines, cost and efficacy. This abstract reviews the impact of changes TOPA initiated to improve pathway compliance Methods: Since 2011, TOPA has assessed pathways compliance using the iKnowMed (iKM) electronic medical record. Individual compliance was reported to each physician, but no incentives were tied to this...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
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