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Quentin Huys

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https://www.readbyqxmd.com/read/29764270/drunk-decisions-alcohol-shifts-choice-from-habitual-towards-goal-directed-control-in-adolescent-intermediate-risk-drinkers
#1
Elisabeth Obst, Daniel J Schad, Quentin Jm Huys, Miriam Sebold, Stephan Nebe, Christian Sommer, Michael N Smolka, Ulrich S Zimmermann
BACKGROUND: Studies in humans and animals suggest a shift from goal-directed to habitual decision-making in addiction. We therefore tested whether acute alcohol administration reduces goal-directed and promotes habitual decision-making, and whether these effects are moderated by self-reported drinking problems. METHODS: Fifty-three socially drinking males completed the two-step task in a randomised crossover design while receiving an intravenous infusion of ethanol (blood alcohol level=80 mg%), or placebo...
May 1, 2018: Journal of Psychopharmacology
https://www.readbyqxmd.com/read/29594052/parathyroid-hormone-assays-following-total-thyroidectomy-is-there-a-predictive-value
#2
Camille Galy-Bernadoy, Benjamin Lallemant, Guillaume Chambon, Huy Trang Pham, Christophe Reynaud, Caroline Alovisetti, Quentin Bonduelle, Anne Marie Guedj, Serge Lumbroso, David-Paul De Brauwere
Objectives: Parathyroid hormone (PTH) is a risk marker for hypoparathyroidism (hypoPTH). This study aimed to determine the predictive values of early PTH assays carried out at the moment of skin closure (PTH SC), to establish a treatment algorithm, identifying two threshold values. We assessed the reproducibility of this approach with two different immunoassay kits (hypoPTH) after total thyroidectomy, but its practical application is not consensual. Study Design: We conducted a prospective descriptive study, including all patients who underwent a total thyroidectomy between March 2012 and November 2013...
January 2018: European Thyroid Journal
https://www.readbyqxmd.com/read/29344604/advancing-clinical-improvements-for-patients-using-the-theory-driven-and-data-driven-branches-of-computational-psychiatry
#3
Quentin J M Huys
No abstract text is available yet for this article.
March 1, 2018: JAMA Psychiatry
https://www.readbyqxmd.com/read/29313106/neural-correlates-of-instrumental-responding-in-the-context-of-alcohol-related-cues-index-disorder-severity-and-relapse-risk
#4
Daniel J Schad, Maria Garbusow, Eva Friedel, Christian Sommer, Miriam Sebold, Claudia Hägele, Nadine Bernhardt, Stephan Nebe, Sören Kuitunen-Paul, Shuyan Liu, Uta Eichmann, Anne Beck, Hans-Ulrich Wittchen, Henrik Walter, Philipp Sterzer, Ulrich S Zimmermann, Michael N Smolka, Florian Schlagenhauf, Quentin J M Huys, Andreas Heinz, Michael A Rapp
The influence of Pavlovian conditioned stimuli on ongoing behavior may contribute to explaining how alcohol cues stimulate drug seeking and intake. Using a Pavlovian-instrumental transfer task, we investigated the effects of alcohol-related cues on approach behavior (i.e., instrumental response behavior) and its neural correlates, and related both to the relapse after detoxification in alcohol-dependent patients. Thirty-one recently detoxified alcohol-dependent patients and 24 healthy controls underwent instrumental training, where approach or non-approach towards initially neutral stimuli was reinforced by monetary incentives...
January 8, 2018: European Archives of Psychiatry and Clinical Neuroscience
https://www.readbyqxmd.com/read/28924006/the-neural-basis-of-aversive-pavlovian-guidance-during-planning
#5
Níall Lally, Quentin J M Huys, Neir Eshel, Paul Faulkner, Peter Dayan, Jonathan P Roiser
Important real-world decisions are often arduous as they frequently involve sequences of choices, with initial selections affecting future options. Evaluating every possible combination of choices is computationally intractable, particularly for longer multistep decisions. Therefore, humans frequently use heuristics to reduce the complexity of decisions. We recently used a goal-directed planning task to demonstrate the profound behavioral influence and ubiquity of one such shortcut, namely aversive pruning, a reflexive Pavlovian process that involves neglecting parts of the decision space residing beyond salient negative outcomes...
October 18, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28838467/a-formal-valuation-framework-for-emotions-and-their-control
#6
REVIEW
Quentin J M Huys, Daniel Renz
Computational psychiatry aims to apply mathematical and computational techniques to help improve psychiatric care. To achieve this, the phenomena under scrutiny should be within the scope of formal methods. As emotions play an important role across many psychiatric disorders, such computational methods must encompass emotions. Here, we consider formal valuation accounts of emotions. We focus on the fact that the flexibility of emotional responses and the nature of appraisals suggest the need for a model-based valuation framework for emotions...
September 15, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28838466/theory-based-computational-psychiatry
#7
Tiago V Maia, Quentin J M Huys, Michael J Frank
No abstract text is available yet for this article.
September 15, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28673442/when-habits-are-dangerous-alcohol-expectancies-and-habitual-decision-making-predict-relapse-in-alcohol-dependence
#8
Miriam Sebold, Stephan Nebe, Maria Garbusow, Matthias Guggenmos, Daniel J Schad, Anne Beck, Soeren Kuitunen-Paul, Christian Sommer, Robin Frank, Peter Neu, Ulrich S Zimmermann, Michael A Rapp, Michael N Smolka, Quentin J M Huys, Florian Schlagenhauf, Andreas Heinz
BACKGROUND: Addiction is supposedly characterized by a shift from goal-directed to habitual decision making, thus facilitating automatic drug intake. The two-step task allows distinguishing between these mechanisms by computationally modeling goal-directed and habitual behavior as model-based and model-free control. In addicted patients, decision making may also strongly depend upon drug-associated expectations. Therefore, we investigated model-based versus model-free decision making and its neural correlates as well as alcohol expectancies in alcohol-dependent patients and healthy controls and assessed treatment outcome in patients...
December 1, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28484952/the-anchoring-bias-reflects-rational-use-of-cognitive-resources
#9
REVIEW
Falk Lieder, Thomas L Griffiths, Quentin J M Huys, Noah D Goodman
Cognitive biases, such as the anchoring bias, pose a serious challenge to rational accounts of human cognition. We investigate whether rational theories can meet this challenge by taking into account the mind's bounded cognitive resources. We asked what reasoning under uncertainty would look like if people made rational use of their finite time and limited cognitive resources. To answer this question, we applied a mathematical theory of bounded rationality to the problem of numerical estimation. Our analysis led to a rational process model that can be interpreted in terms of anchoring-and-adjustment...
February 2018: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28484951/empirical-evidence-for-resource-rational-anchoring-and-adjustment
#10
Falk Lieder, Thomas L Griffiths, Quentin J M Huys, Noah D Goodman
People's estimates of numerical quantities are systematically biased towards their initial guess. This anchoring bias is usually interpreted as sign of human irrationality, but it has recently been suggested that the anchoring bias instead results from people's rational use of their finite time and limited cognitive resources. If this were true, then adjustment should decrease with the relative cost of time. To test this hypothesis, we designed a new numerical estimation paradigm that controls people's knowledge and varies the cost of time and error independently while allowing people to invest as much or as little time and effort into refining their estimate as they wish...
April 2018: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28289888/value-based-decision-making-battery-a-bayesian-adaptive-approach-to-assess-impulsive-and-risky-behavior
#11
Shakoor Pooseh, Nadine Bernhardt, Alvaro Guevara, Quentin J M Huys, Michael N Smolka
Using simple mathematical models of choice behavior, we present a Bayesian adaptive algorithm to assess measures of impulsive and risky decision making. Practically, these measures are characterized by discounting rates and are used to classify individuals or population groups, to distinguish unhealthy behavior, and to predict developmental courses. However, a constant demand for improved tools to assess these constructs remains unanswered. The algorithm is based on trial-by-trial observations. At each step, a choice is made between immediate (certain) and delayed (risky) options...
February 2018: Behavior Research Methods
https://www.readbyqxmd.com/read/28111829/no-association-of-goal-directed-and-habitual-control-with-alcohol-consumption-in-young-adults
#12
Stephan Nebe, Nils B Kroemer, Daniel J Schad, Nadine Bernhardt, Miriam Sebold, Dirk K Müller, Lucie Scholl, Sören Kuitunen-Paul, Andreas Heinz, Michael A Rapp, Quentin J M Huys, Michael N Smolka
Alcohol dependence is a mental disorder that has been associated with an imbalance in behavioral control favoring model-free habitual over model-based goal-directed strategies. It is as yet unknown, however, whether such an imbalance reflects a predisposing vulnerability or results as a consequence of repeated and/or excessive alcohol exposure. We, therefore, examined the association of alcohol consumption with model-based goal-directed and model-free habitual control in 188 18-year-old social drinkers in a two-step sequential decision-making task while undergoing functional magnetic resonance imaging before prolonged alcohol misuse could have led to severe neurobiological adaptations...
January 2018: Addiction Biology
https://www.readbyqxmd.com/read/28018986/a-roadmap-for-the-development-of-applied-computational-psychiatry
#13
Martin P Paulus, Quentin J M Huys, Tiago V Maia
BACKGROUND: Computational psychiatry is a burgeoning field that utilizes mathematical approaches to investigate psychiatric disorders, derive quantitative predictions, and integrate data across multiple levels of description. Computational psychiatry has already led to many new insights into the neurobehavioral mechanisms that underlie several psychiatric disorders, but its usefulness from a clinical standpoint is only now starting to be considered. METHODS: Examples of computational psychiatry are highlighted, and a phase-based pipeline for the development of clinical computational-psychiatry applications is proposed, similar to the phase-based pipeline used in drug development...
September 2016: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/26942321/don-t-think-just-feel-the-music-individuals-with-strong-pavlovian-to-instrumental-transfer-effects-rely-less-on-model-based-reinforcement-learning
#14
MULTICENTER STUDY
Miriam Sebold, Daniel J Schad, Stephan Nebe, Maria Garbusow, Elisabeth Jünger, Nils B Kroemer, Norbert Kathmann, Ulrich S Zimmermann, Michael N Smolka, Michael A Rapp, Andreas Heinz, Quentin J M Huys
Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system that uses knowledge to reason prospectively. The second axis distinguishes Pavlovian valuation of stimuli from instrumental valuation of actions or stimulus-action pairs. This results in four values and many possible interactions between them, with important consequences for accounts of individual variation. We here explored whether individual variation along one axis was related to individual variation along the other...
July 2016: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/26934499/german-translation-and-validation-of-the-cognitive-style-questionnaire-short-form-csq-sf-d
#15
Quentin J M Huys, Daniel Renz, Frederike Petzschner, Isabel Berwian, Christian Stoppel, Helene Haker
BACKGROUND: The Cognitive Style Questionnaire is a valuable tool for the assessment of hopeless cognitive styles in depression research, with predictive power in longitudinal studies. However, it is very burdensome to administer. Even the short form is still long, and neither this nor the original version exist in validated German translations. METHODS: The questionnaire was translated from English to German, back-translated and commented on by clinicians. The reliability, factor structure and external validity of an online form of the questionnaire were examined on 214 participants...
2016: PloS One
https://www.readbyqxmd.com/read/26906507/computational-psychiatry-as-a-bridge-from-neuroscience-to-clinical-applications
#16
REVIEW
Quentin J M Huys, Tiago V Maia, Michael J Frank
Translating advances in neuroscience into benefits for patients with mental illness presents enormous challenges because it involves both the most complex organ, the brain, and its interaction with a similarly complex environment. Dealing with such complexities demands powerful techniques. Computational psychiatry combines multiple levels and types of computation with multiple types of data in an effort to improve understanding, prediction and treatment of mental illness. Computational psychiatry, broadly defined, encompasses two complementary approaches: data driven and theory driven...
March 2016: Nature Neuroscience
https://www.readbyqxmd.com/read/26573970/charting-the-landscape-of-priority-problems-in-psychiatry-part-1-classification-and-diagnosis
#17
REVIEW
Klaas E Stephan, Dominik R Bach, Paul C Fletcher, Jonathan Flint, Michael J Frank, Karl J Friston, Andreas Heinz, Quentin J M Huys, Michael J Owen, Elisabeth B Binder, Peter Dayan, Eve C Johnstone, Andreas Meyer-Lindenberg, P Read Montague, Ulrich Schnyder, Xiao-Jing Wang, Michael Breakspear
Contemporary psychiatry faces major challenges. Its syndrome-based disease classification is not based on mechanisms and does not guide treatment, which largely depends on trial and error. The development of therapies is hindered by ignorance of potential beneficiary patient subgroups. Neuroscientific and genetics research have yet to affect disease definitions or contribute to clinical decision making. In this challenging setting, what should psychiatric research focus on? In two companion papers, we present a list of problems nominated by clinicians and researchers from different disciplines as candidates for future scientific investigation of mental disorders...
January 2016: Lancet Psychiatry
https://www.readbyqxmd.com/read/26573969/charting-the-landscape-of-priority-problems-in-psychiatry-part-2-pathogenesis-and-aetiology
#18
REVIEW
Klaas E Stephan, Elisabeth B Binder, Michael Breakspear, Peter Dayan, Eve C Johnstone, Andreas Meyer-Lindenberg, Ulrich Schnyder, Xiao-Jing Wang, Dominik R Bach, Paul C Fletcher, Jonathan Flint, Michael J Frank, Andreas Heinz, Quentin J M Huys, P Read Montague, Michael J Owen, Karl J Friston
This is the second of two companion papers proposing priority problems for research on mental disorders. Whereas the first paper focuses on questions of nosology and diagnosis, this Personal View concerns pathogenesis and aetiology of psychiatric diseases. We hope that this (non-exhaustive and subjective) list of problems, nominated by scientists and clinicians from different fields and institutions, provides guidance and perspectives for choosing future directions in psychiatric science.
January 2016: Lancet Psychiatry
https://www.readbyqxmd.com/read/26157034/computational-psychiatry-towards-a-mathematically-informed-understanding-of-mental-illness
#19
REVIEW
Rick A Adams, Quentin J M Huys, Jonathan P Roiser
Computational Psychiatry aims to describe the relationship between the brain's neurobiology, its environment and mental symptoms in computational terms. In so doing, it may improve psychiatric classification and the diagnosis and treatment of mental illness. It can unite many levels of description in a mechanistic and rigorous fashion, while avoiding biological reductionism and artificial categorisation. We describe how computational models of cognition can infer the current state of the environment and weigh up future actions, and how these models provide new perspectives on two example disorders, depression and schizophrenia...
January 2016: Journal of Neurology, Neurosurgery, and Psychiatry
https://www.readbyqxmd.com/read/26068725/neural-correlates-of-three-promising-endophenotypes-of-depression-evidence-from-the-embarc-study
#20
MULTICENTER STUDY
Christian A Webb, Daniel G Dillon, Pia Pechtel, Franziska K Goer, Laura Murray, Quentin J M Huys, Maurizio Fava, Patrick J McGrath, Myrna Weissman, Ramin Parsey, Benji T Kurian, Phillip Adams, Sarah Weyandt, Joseph M Trombello, Bruce Grannemann, Crystal M Cooper, Patricia Deldin, Craig Tenke, Madhukar Trivedi, Gerard Bruder, Diego A Pizzagalli
Major depressive disorder (MDD) is clinically, and likely pathophysiologically, heterogeneous. A potentially fruitful approach to parsing this heterogeneity is to focus on promising endophenotypes. Guided by the NIMH Research Domain Criteria initiative, we used source localization of scalp-recorded EEG resting data to examine the neural correlates of three emerging endophenotypes of depression: neuroticism, blunted reward learning, and cognitive control deficits. Data were drawn from the ongoing multi-site EMBARC study...
January 2016: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
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