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computational psychiatry

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https://www.readbyqxmd.com/read/28690972/computational-psychiatry-in-borderline-personality-disorder
#1
Sarah K Fineberg, Dylan Stahl, Philip Corlett
PURPOSE OF REVIEW: We review the literature on the use and potential use of computational psychiatry methods in Borderline Personality Disorder. RECENT FINDINGS: Computational approaches have been used in psychiatry to increase our understanding of the molecular, circuit, and behavioral basis of mental illness. This is of particular interest in BPD, where the collection of ecologically valid data, especially in interpersonal settings, is becoming more common and more often subject to quantification...
March 2017: Current Behavioral Neuroscience Reports
https://www.readbyqxmd.com/read/28678984/association-of-neural-and-emotional-impacts-of-reward-prediction-errors-with-major-depression
#2
Robb B Rutledge, Michael Moutoussis, Peter Smittenaar, Peter Zeidman, Tanja Taylor, Louise Hrynkiewicz, Jordan Lam, Nikolina Skandali, Jenifer Z Siegel, Olga T Ousdal, Gita Prabhu, Peter Dayan, Peter Fonagy, Raymond J Dolan
Importance: Major depressive disorder (MDD) is associated with deficits in representing reward prediction errors (RPEs), which are the difference between experienced and predicted reward. Reward prediction errors underlie learning of values in reinforcement learning models, are represented by phasic dopamine release, and are known to affect momentary mood. Objective: To combine functional neuroimaging, computational modeling, and smartphone-based large-scale data collection to test, in the absence of learning-related concerns, the hypothesis that depression attenuates the impact of RPEs...
July 5, 2017: JAMA Psychiatry
https://www.readbyqxmd.com/read/28678978/using-computational-psychiatry-to-rule-out-the-hidden-causes-of-depression
#3
Erdem Pulcu, Michael Browning
No abstract text is available yet for this article.
July 5, 2017: JAMA Psychiatry
https://www.readbyqxmd.com/read/28669207/computational-psychiatry-new-perspectives-on-mental-illnessedited-by-a-david-redish-ph-d-and-joshua-a-gordon-m-d-ph-d-cambridge-mass-mit-press-2016-424-pp-45-00-hardcover
#4
Tali M Ball, Andrea N Goldstein-Piekarski
No abstract text is available yet for this article.
July 1, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28641914/interactive-home-telehealth-and-burns-a-pilot-study
#5
Sean Hickey, Jason Gomez, Benjamin Meller, Jeffery C Schneider, Meredith Cheney, Shamim Nejad, John Schulz, Jeremy Goverman
OBJECTIVE: The objective of this study is to review our experience incorporating Interactive Home Telehealth (IHT) visits into follow-up burn care. METHODS: A retrospective review of all burn patients participating in IHT encounters over the course of 15 months was performed. Connections were established through secure video conferencing and call-routing software. Patients connected with a personal computer or tablet and providers connected with a desktop computer with a high-definition web camera...
June 19, 2017: Burns: Journal of the International Society for Burn Injuries
https://www.readbyqxmd.com/read/28640169/the-use-of-lorazepam-and-electroconvulsive-therapy-in-the-treatment-of-catatonia-treatment-characteristics-and-outcomes-in-60-patients
#6
Ahmet Unal, Abdurrahman Altindag, Bahadir Demir, Ihsan Aksoy
OBJECTIVES: Lorazepam and electroconvulsive therapy (ECT) are effective treatments for catatonia. However, systematic data on these treatments in catatonia are limited. In the present study, we aimed to investigate the clinical and treatment-related characteristics of patients with catatonia who underwent lorazepam and/or ECT. METHODS: Between January 2012 and December 2016, we received 60 patients with catatonia hospitalized in the Gaziantep University Faculty of Medicine Clinic of Psychiatry...
June 20, 2017: Journal of ECT
https://www.readbyqxmd.com/read/28626229/linking-social-context-and-addiction-neuroscience-a-computational-psychiatry-approach
#7
Andrea Reiter, Andreas Heinz, Lorenz Deserno
No abstract text is available yet for this article.
June 19, 2017: Nature Reviews. Neuroscience
https://www.readbyqxmd.com/read/28619481/computational-psychosomatics-and-computational-psychiatry-toward-a-joint-framework-for-differential-diagnosis
#8
REVIEW
Frederike H Petzschner, Lilian A E Weber, Tim Gard, Klaas E Stephan
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1) how conceptualizing perception and action as inference-control loops yields a joint computational perspective on brain-world and brain-body interactions and 2) how the concrete formulation of this loop as a hierarchical Bayesian model points to key computational quantities that inform a taxonomy of potential disease mechanisms...
May 25, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28618855/stability-of-and-factors-related-to-medical-student-specialty-choice-of-psychiatry
#9
Matthew N Goldenberg, D Keith Williams, John J Spollen
OBJECTIVE: Targeted efforts are needed to increase the number of medical students choosing psychiatry, but little is known about when students decide on their specialty or what factors influence their choice. The authors examined the timing and stability of student career choice of psychiatry compared with other specialties and determined what pre- and intra-medical school factors were associated with choosing a career in psychiatry. METHOD: Using survey data from students who graduated from U...
June 16, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28608853/genetic-tests-in-major-psychiatric-disorders-integrating-molecular-medicine-with-clinical-psychiatry-why-is-it-so-difficult
#10
REVIEW
U Demkow, T Wolańczyk
With the advent of post-genomic era, new technologies create extraordinary possibilities for diagnostics and personalized therapy, transforming todays' medicine. Rooted in both medical genetics and clinical psychiatry, the paper is designed as an integrated source of information of the current and potential future application of emerging genomic technologies as diagnostic tools in psychiatry, moving beyond the classical concept of patient approach. Selected approaches are presented, starting from currently used technologies (next-generation sequencing (NGS) and microarrays), followed by newer options (reverse phenotyping)...
June 13, 2017: Translational Psychiatry
https://www.readbyqxmd.com/read/28599949/quetiapine-extended-release-versus-aripiprazole-in-children-and-adolescents-with-first-episode-psychosis-the-multicentre-double-blind-randomised-tolerability-and-efficacy-of-antipsychotics-tea-trial
#11
Anne Katrine Pagsberg, Pia Jeppesen, Dea Gowers Klauber, Karsten Gjessing Jensen, Ditte Rudå, Marie Stentebjerg-Olesen, Peter Jantzen, Simone Rasmussen, Eva Ann-Sofie Saldeen, Maj-Britt Glenn Lauritsen, Niels Bilenberg, Anne Dorte Stenstrøm, Louise Nyvang, Sarah Madsen, Thomas M Werge, Theis Lange, Christian Gluud, Maria Skoog, Per Winkel, Jens Richardt M Jepsen, Birgitte Fagerlund, Christoph U Correll, Anders Fink-Jensen
BACKGROUND: Head-to-head trials to guide antipsychotic treatment choices for paediatric psychosis are urgently needed because extrapolations from adult studies might not be implementable. In this superiority trial with two-sided significance testing, we aimed to compare the efficacy and safety of quetiapine-extended release (quetiapine-ER) versus aripiprazole in children and adolescents with first-episode psychosis, to determine whether differences between the two treatments were sufficient to guide clinicians in their choice of one drug over the other...
June 6, 2017: Lancet Psychiatry
https://www.readbyqxmd.com/read/28553839/a-primer-on-foraging-and-the-explore-exploit-trade-off-for-psychiatry-research
#12
REVIEW
M A Addicott, J M Pearson, M M Sweitzer, D L Barack, M L Platt
Foraging is a fundamental behavior, and many types of animals appear to have solved foraging problems using a shared set of mechanisms. Perhaps the most common foraging problem is the choice between exploiting a familiar option for a known reward and exploring unfamiliar options for unknown rewards-the so-called explore-exploit trade-off. This trade-off has been studied extensively in behavioral ecology and computational neuroscience, but is relatively new to the field of psychiatry. Explore/exploit paradigms can offer psychiatry research a new approach to studying motivation, outcome valuation, and effort-related processes, which are disrupted in many mental and emotional disorders...
May 29, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28467006/initiating-activities-of-daily-living-contributes-to-well-being-in-people-with-dementia-and-their-carers
#13
Clarissa M Giebel, Caroline Sutcliffe
OBJECTIVE: Problems with everyday functioning are linked to reduced well-being in people with dementia (PwD) and their carers. However, previous research has almost solely investigated the performance of everyday activities, and global functioning without analysing individual activities. This study explored how deficits in initiating and performing individual activities were associated with carer burden and poorer quality of life of carers and PwD. METHODS: Carers of people with mild dementia were recruited via 10 National Health Service Trusts, as well as through attending six carer support groups...
May 3, 2017: International Journal of Geriatric Psychiatry
https://www.readbyqxmd.com/read/28441272/treating-smoking-in-adults-with-co-occurring-acute-psychiatric-and-addictive-disorders
#14
Smita Das, Norval J Hickman, Judith J Prochaska
OBJECTIVES: Tobacco use is undertreated in individuals with psychiatric and substance use disorders (SUDs), with concerns that quitting smoking may compromise recovery. We evaluated outcomes of a tobacco intervention among psychiatric patients with co-occurring SUDs. METHODS: Data from 2 randomized tobacco treatment trials conducted in inpatient psychiatry were combined; analyses focused on the subsample with co-occurring SUDs (n = 216). Usual care provided brief advice to quit and nicotine replacement therapy during the smoke-free hospitalization...
April 24, 2017: Journal of Addiction Medicine
https://www.readbyqxmd.com/read/28428048/multi-center-machine-learning-in-imaging-psychiatry-a-meta-model-approach
#15
Petr Dluhoš, Daniel Schwarz, Wiepke Cahn, Neeltje van Haren, René Kahn, Filip Španiel, Jiří Horáček, Tomáš Kašpárek, Hugo Schnack
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizophrenia, where machine learning models built on relatively low numbers of subjects may suffer from poor generalizability. Via multicenter studies and consortium initiatives researchers have tried to solve this problem by combining data sets from multiple sites. The necessary sharing of (raw) data is, however, often hindered by legal and ethical issues...
April 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28348380/preventing-intrusive-memories-after-trauma-via-a-brief-intervention-involving-tetris-computer-game-play-in-the-emergency-department-a-proof-of-concept-randomized-controlled-trial
#16
L Iyadurai, S E Blackwell, R Meiser-Stedman, P C Watson, M B Bonsall, J R Geddes, A C Nobre, E A Holmes
After psychological trauma, recurrent intrusive visual memories may be distressing and disruptive. Preventive interventions post trauma are lacking. Here we test a behavioural intervention after real-life trauma derived from cognitive neuroscience. We hypothesized that intrusive memories would be significantly reduced in number by an intervention involving a computer game with high visuospatial demands (Tetris), via disrupting consolidation of sensory elements of trauma memory. The Tetris-based intervention (trauma memory reminder cue plus c...
March 28, 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/28338845/computational-psychiatry-and-the-challenge-of-schizophrenia
#17
EDITORIAL
John H Krystal, John D Murray, Adam M Chekroud, Philip R Corlett, Genevieve Yang, Xiao-Jing Wang, Alan Anticevic
Schizophrenia research is plagued by enormous challenges in integrating and analyzing large datasets and difficulties developing formal theories related to the etiology, pathophysiology, and treatment of this disorder. Computational psychiatry provides a path to enhance analyses of these large and complex datasets and to promote the development and refinement of formal models for features of this disorder. This presentation introduces the reader to the notion of computational psychiatry and describes discovery-oriented and theory-driven applications to schizophrenia involving machine learning, reinforcement learning theory, and biophysically-informed neural circuit models...
May 1, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28335580/the-development-of-psychiatric-services-providing-an-alternative-to-full-time-hospitalization-is-associated-with-shorter-length-of-stay-in-french-public-psychiatry
#18
Coralie Gandré, Jeanne Gervaix, Julien Thillard, Jean-Marc Macé, Jean-Luc Roelandt, Karine Chevreul
International recommendations for mental health care have advocated for a reduction in the length of stay (LOS) in full-time hospitalization and the development of alternatives to full-time hospitalizations (AFTH) could facilitate alignment with those recommendations. Our objective was therefore to assess whether the development of AFTH in French psychiatric sectors was associated with a reduction in the LOS in full-time hospitalization. Using data from the French national discharge database of psychiatric care, we computed the LOS of patients admitted for full-time hospitalization...
March 21, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28185044/a-predictive-coding-account-of-psychotic-symptoms-in-autism-spectrum-disorder
#19
Gerrit I van Schalkwyk, Fred R Volkmar, Philip R Corlett
The co-occurrence of psychotic and autism spectrum disorder (ASD) symptoms represents an important clinical challenge. Here we consider this problem in the context of a computational psychiatry approach that has been applied to both conditions-predictive coding. Some symptoms of schizophrenia have been explained in terms of a failure of top-down predictions or an enhanced weighting of bottom-up prediction errors. Likewise, autism has been explained in terms of similar perturbations. We suggest that this theoretical overlap may explain overlapping symptomatology...
May 2017: Journal of Autism and Developmental Disorders
https://www.readbyqxmd.com/read/28091572/a-computational-psychiatry-approach-identifies-how-alpha-2a-noradrenergic-agonist-guanfacine-affects-feature-based-reinforcement-learning-in-the-macaque
#20
S A Hassani, M Oemisch, M Balcarras, S Westendorff, S Ardid, M A van der Meer, P Tiesinga, T Womelsdorf
Noradrenaline is believed to support cognitive flexibility through the alpha 2A noradrenergic receptor (a2A-NAR) acting in prefrontal cortex. Enhanced flexibility has been inferred from improved working memory with the a2A-NA agonist Guanfacine. But it has been unclear whether Guanfacine improves specific attention and learning mechanisms beyond working memory, and whether the drug effects can be formalized computationally to allow single subject predictions. We tested and confirmed these suggestions in a case study with a healthy nonhuman primate performing a feature-based reversal learning task evaluating performance using Bayesian and Reinforcement learning models...
January 16, 2017: Scientific Reports
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