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computational model psychiatry

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https://www.readbyqxmd.com/read/28338845/computational-psychiatry-and-the-challenge-of-schizophrenia
#1
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...
March 8, 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
#2
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
#3
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
#4
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
#5
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/28018986/a-roadmap-for-the-development-of-applied-computational-psychiatry
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
https://www.readbyqxmd.com/read/27104961/precision-medicine-for-psychopharmacology-a-general-introduction
#14
Cheolmin Shin, Changsu Han, Chi-Un Pae, Ashwin A Patkar
INTRODUCTION: Precision medicine is an emerging medical model that can provide accurate diagnoses and tailored therapeutic strategies for patients based on data pertaining to genes, microbiomes, environment, family history and lifestyle. AREAS COVERED: Here, we provide basic information about precision medicine and newly introduced concepts, such as the precision medicine ecosystem and big data processing, and omics technologies including pharmacogenomics, pharamacometabolomics, pharmacoproteomics, pharmacoepigenomics, connectomics and exposomics...
July 2016: Expert Review of Neurotherapeutics
https://www.readbyqxmd.com/read/27038085/virtual-patient-simulation-in-psychiatric-care-a-pilot-study-of-digital-support-for-collaborate-learning
#15
Charlotta Sunnqvist, Karin Karlsson, Lisbeth Lindell, Uno Fors
Psychiatric and mental health nursing is built on a trusted nurse and patient relationship. Therefore communication and clinical reasoning are two important issues. Our experiences as teachers in psychiatric educational programmes are that the students feel anxiety and fear before they start their clinical practices in psychiatry. Therefore there is a need for bridging over the fear. Technology enhanced learning might support such activities so we used Virtual patients (VPs), an interactive computer simulations of real-life clinical scenarios...
March 2016: Nurse Education in Practice
https://www.readbyqxmd.com/read/27028297/a-complex-systems-approach-to-causal-discovery-in-psychiatry
#16
Glenn N Saxe, Alexander Statnikov, David Fenyo, Jiwen Ren, Zhiguo Li, Meera Prasad, Dennis Wall, Nora Bergman, Ernestine C Briggs, Constantin Aliferis
Conventional research methodologies and data analytic approaches in psychiatric research are unable to reliably infer causal relations without experimental designs, or to make inferences about the functional properties of the complex systems in which psychiatric disorders are embedded. This article describes a series of studies to validate a novel hybrid computational approach--the Complex Systems-Causal Network (CS-CN) method-designed to integrate causal discovery within a complex systems framework for psychiatric research...
2016: PloS One
https://www.readbyqxmd.com/read/27001617/system-based-proteomic-and-metabonomic-analysis-of-the-df-16-a-mouse-identifies-potential-mir-185-targets-and-molecular-pathway-alterations
#17
H Wesseling, B Xu, E J Want, E Holmes, P C Guest, M Karayiorgou, J A Gogos, S Bahn
Deletions on chromosome 22q11.2 are a strong genetic risk factor for development of schizophrenia and cognitive dysfunction. We employed shotgun liquid chromatography-mass spectrometry (LC-MS) proteomic and metabonomic profiling approaches on prefrontal cortex (PFC) and hippocampal (HPC) tissue from Df(16)A(+/-) mice, a model of the 22q11.2 deletion syndrome. Proteomic results were compared with previous transcriptomic profiling studies of the same brain regions. The aim was to investigate how the combined effect of the 22q11...
March 2017: Molecular Psychiatry
https://www.readbyqxmd.com/read/26948484/trajectories-of-suicidal-ideation-in-patients-with-first-episode-psychosis-secondary-analysis-of-data-from-the-opus-trial
#18
Trine Madsen, Karen-Inge Karstoft, Rikke Gry Secher, Stephen F Austin, Merete Nordentoft
BACKGROUND: Heterogeneity in suicidal ideation over time in patients with first-episode psychosis is expected, but prototypical trajectories of this have not yet been established. We aimed to identify trajectories of suicidal ideation over a 3-year period and to examine how these trajectories relate to subsequent suicidality. METHODS: We used longitudinal data from the prospective 10-year follow-up OPUS trial of young Danish patients with first-episode psychosis...
May 2016: Lancet Psychiatry
https://www.readbyqxmd.com/read/26934301/modeling-transcranial-magnetic-stimulation-from-the-induced-electric-fields-to-the-membrane-potentials-along-tractography-based-white-matter-fiber-tracts
#19
Nele De Geeter, Luc Dupré, Guillaume Crevecoeur
OBJECTIVE: Transcranial magnetic stimulation (TMS) is a promising non-invasive tool for modulating the brain activity. Despite the widespread therapeutic and diagnostic use of TMS in neurology and psychiatry, its observed response remains hard to predict, limiting its further development and applications. Although the stimulation intensity is always maximum at the cortical surface near the coil, experiments reveal that TMS can affect deeper brain regions as well. APPROACH: The explanation of this spread might be found in the white matter fiber tracts, connecting cortical and subcortical structures...
April 2016: Journal of Neural Engineering
https://www.readbyqxmd.com/read/26906507/computational-psychiatry-as-a-bridge-from-neuroscience-to-clinical-applications
#20
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
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