keyword
MENU ▼
Read by QxMD icon Read
search

computational model psychiatry

keyword
https://www.readbyqxmd.com/read/28859565/neuroplasticity-and-the-brain-connectome-what-can-jean-talairach-s-reflections-bring-to-modern-psychosurgery
#1
Pierre Bourdillon, Caroline Apra, Marc Lévêque, Fabien Vinckier
Contrary to common psychosurgical practice in the 1950s, Dr. Jean Talairach had the intuition, based on clinical experience, that the brain connectome and neuroplasticity had a role to play in psychosurgery. Due to the remarkable progress of pharmacology at that time and to the technical limits of neurosurgery, these concepts were not put into practice. Currently, these concepts are being confirmed by modern techniques such as neuroimaging and computational neurosciences, and could pave the way for therapeutic innovation in psychiatry...
September 2017: Neurosurgical Focus
https://www.readbyqxmd.com/read/28838467/a-formal-valuation-framework-for-emotions-and%C3%A2-their-control
#2
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/28794897/uncovering-capgras-delusion-using-a-large-scale-medical-records-database
#3
Vaughan Bell, Caryl Marshall, Zara Kanji, Sam Wilkinson, Peter Halligan, Quinton Deeley
BACKGROUND: Capgras delusion is scientifically important but most commonly reported as single case studies. Studies analysing large clinical records databases focus on common disorders but none have investigated rare syndromes. AIMS: Identify cases of Capgras delusion and associated psychopathology, demographics, cognitive function and neuropathology in light of existing models. METHOD: Combined computational data extraction and qualitative classification using 250 000 case records from South London and Maudsley Clinical Record Interactive Search (CRIS) database...
July 2017: BJPsych Open
https://www.readbyqxmd.com/read/28678984/association-of-neural-and-emotional-impacts-of-reward-prediction-errors-with-major-depression
#4
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...
August 1, 2017: JAMA Psychiatry
https://www.readbyqxmd.com/read/28619481/computational-psychosomatics-and-computational-psychiatry-toward-a-joint-framework-for-differential-diagnosis
#5
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/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
#6
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...
August 2017: Lancet Psychiatry
https://www.readbyqxmd.com/read/28428048/multi-center-machine-learning-in-imaging-psychiatry-a-meta-model-approach
#7
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/28338845/computational-psychiatry-and-the-challenge-of-schizophrenia
#8
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
#9
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/28091572/a-computational-psychiatry-approach-identifies-how-alpha-2a-noradrenergic-agonist-guanfacine-affects-feature-based-reinforcement-learning-in-the-macaque
#10
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
https://www.readbyqxmd.com/read/28076638/the-future-of-psychiatric-research
#11
Marco Antonio Caldieraro
Psychiatric disorders place considerable burden on individuals and on public health. Funding for research in psychiatry is less than ideal, but even so high quality research is being conducted at many centers. However, these studies have not impacted clinical practice as much as expected. The complexity of psychiatric disorders is one of the reasons why we face difficulties in translating research results to patient care. New technologies and improved methodologies are now available and must be incorporated to deal with this complexity and to accelerate the translational process...
October 2016: Trends in Psychiatry and Psychotherapy
https://www.readbyqxmd.com/read/28032396/computational-neuroscience-approach-to-biomarkers-and-treatments-for-mental-disorders
#12
REVIEW
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 into computational neuroscience that have undertaken either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders...
April 2017: Psychiatry and Clinical Neurosciences
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/27986430/computational-approaches-to-schizophrenia-a-perspective-on-negative-symptoms
#14
REVIEW
Lorenz Deserno, Andreas Heinz, Florian Schlagenhauf
Schizophrenia is a heterogeneous spectrum disorder often associated with detrimental negative symptoms. In recent years, computational approaches to psychiatry have attracted growing attention. Negative symptoms have shown some overlap with general cognitive impairments and were also linked to impaired motivational processing in brain circuits implementing reward prediction. In this review, we outline how computational approaches may help to provide a better understanding of negative symptoms in terms of the potentially underlying behavioural and biological mechanisms...
December 13, 2016: Schizophrenia Research
https://www.readbyqxmd.com/read/27817095/polygenic-score-%C3%A3-intervention-moderation-an-application-of-discrete-time-survival-analysis-to-model-the-timing-of-first-marijuana-use-among-urban-youth
#15
Rashelle J Musci, Brian Fairman, Katherine E Masyn, George Uhl, Brion Maher, Danielle Y Sisto, Sheppard G Kellam, Nicholas S Ialongo
The present study examines the interaction between a polygenic score and an elementary school-based universal preventive intervention trial and its effects on a discrete-time survival analysis of time to first smoking marijuana. Research has suggested that initiation of substances is both genetically and environmentally driven (Rhee et al., Archives of general psychiatry 60:1256-1264, 2003; Verweij et al., Addiction 105:417-430, 2010). A previous work has found a significant interaction between the polygenic score and the same elementary school-based intervention with tobacco smoking (Musci et al...
November 5, 2016: Prevention Science: the Official Journal of the Society for Prevention Research
https://www.readbyqxmd.com/read/27798176/behavioral-and-neural-signatures-of-reduced-updating-of-alternative-options-in-alcohol-dependent-patients-during-flexible-decision-making
#16
RANDOMIZED CONTROLLED TRIAL
Andrea M F Reiter, Lorenz Deserno, Thomas Kallert, Hans-Jochen Heinze, Andreas Heinz, Florian Schlagenhauf
Addicted individuals continue substance use despite the knowledge of harmful consequences and often report having no choice but to consume. Computational psychiatry accounts have linked this clinical observation to difficulties in making flexible and goal-directed decisions in dynamic environments via consideration of potential alternative choices. To probe this in alcohol-dependent patients (n = 43) versus healthy volunteers (n = 35), human participants performed an anticorrelated decision-making task during functional neuroimaging...
October 26, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27784534/toward-understanding-thalamocortical-dysfunction-in-schizophrenia-through-computational-models-of-neural-circuit-dynamics
#17
REVIEW
John D Murray, Alan Anticevic
The thalamus is implicated in the neuropathology of schizophrenia, and multiple modalities of noninvasive neuroimaging provide converging evidence for altered thalamocortical dynamics in the disorder, such as functional connectivity and oscillatory power. However, it remains a challenge to link these neuroimaging biomarkers to underlying neural circuit mechanisms. One potential path forward is a "Computational Psychiatry" approach that leverages computational models of neural circuits to make predictions for the dynamical impact dynamical impact on specific thalamic disruptions hypothesized to occur in the pathophysiology of schizophrenia...
February 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/27517087/computational-phenotyping-in-psychiatry-a-worked-example
#18
Philipp Schwartenbeck, Karl Friston
Computational psychiatry is a rapidly emerging field that uses model-based quantities to infer the behavioral and neuronal abnormalities that underlie psychopathology. If successful, this approach promises key insights into (pathological) brain function as well as a more mechanistic and quantitative approach to psychiatric nosology-structuring therapeutic interventions and predicting response and relapse. The basic procedure in computational psychiatry is to build a computational model that formalizes a behavioral or neuronal process...
July 2016: ENeuro
https://www.readbyqxmd.com/read/27150677/new-tools-for-new-research-in-psychiatry-a-scalable-and-customizable-platform-to-empower-data-driven-smartphone-research
#19
John Torous, Mathew V Kiang, Jeanette Lorme, Jukka-Pekka Onnela
BACKGROUND: A longstanding barrier to progress in psychiatry, both in clinical settings and research trials, has been the persistent difficulty of accurately and reliably quantifying disease phenotypes. Mobile phone technology combined with data science has the potential to offer medicine a wealth of additional information on disease phenotypes, but the large majority of existing smartphone apps are not intended for use as biomedical research platforms and, as such, do not generate research-quality data...
2016: JMIR Mental Health
https://www.readbyqxmd.com/read/27145766/dimensional-psychiatry-mental-disorders-as-dysfunctions-of-basic-learning-mechanisms
#20
REVIEW
Andreas Heinz, Florian Schlagenhauf, Anne Beck, Carolin Wackerhagen
It has been questioned that the more than 300 mental disorders currently listed in international disease classification systems all have a distinct neurobiological correlate. Here, we support the idea that basic dimensions of mental dysfunctions, such as alterations in reinforcement learning, can be identified, which interact with individual vulnerability and psychosocial stress factors and, thus, contribute to syndromes of distress across traditional nosological boundaries. We further suggest that computational modeling of learning behavior can help to identify specific alterations in reinforcement-based decision-making and their associated neurobiological correlates...
August 2016: Journal of Neural Transmission
keyword
keyword
114108
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"