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computational psychiatry

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https://www.readbyqxmd.com/read/29779726/multimodal-connectomics-in-psychiatry-bridging-scales-from-micro-to-macro
#1
REVIEW
Lianne H Scholtens, Martijn P van den Heuvel
The human brain is a highly complex system, with a large variety of microscale cellular morphologies and macroscale global properties. Working at multiple scales, it forms an efficient system for processing and integration of multimodal information. Studies have repeatedly demonstrated strong associations between modalities of both microscales and macroscales of brain organization. These consistent observations point toward potential common organization principles where regions with a microscale architecture supportive of a larger computational load have more and stronger connections in the brain network on the macroscale...
April 19, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29738960/verbal-and-physical-client-aggression-a-longitudinal-analysis-of-professional-caregivers-psychophysiological-stress-response-and-burnout
#2
Nina Kind, Anne Eckert, Célia Steinlin, Jörg M Fegert, Marc Schmid
OBJECTIVE: We investigated the impact of verbal and physical client aggression on risk of developing high hair cortisol concentration (HCC) as an indicator of chronic stress exposure and burnout in a Swiss population of professional caregivers working in youth residential care. METHOD: Participants (n = 121; 62.0% women) reported on client aggression and burnout symptoms and provided hair samples at four annual sampling points. HCC was determined in the first 1...
May 2, 2018: Psychoneuroendocrinology
https://www.readbyqxmd.com/read/29703948/computational-psychiatry-a-report-from-the-2017-nimh-workshop-on-opportunities-and-challenges
#3
Michele Ferrante, A David Redish, Maria A Oquendo, Bruno B Averbeck, Megan E Kinnane, Joshua A Gordon
No abstract text is available yet for this article.
April 27, 2018: Molecular Psychiatry
https://www.readbyqxmd.com/read/29682383/polysubstance-and-behavioral-addictions-in-a-patient-with-bipolar-disorder-role-of-lifetime-subthreshold-autism-spectrum
#4
Liliana Dell'Osso, Ciro Conversano, Martina Corsi, Carlo A Bertelloni, Ivan M Cremone, Barbara Carpita, Manuel G Carbone, Camilla Gesi, Claudia Carmassi
This case report draws attention to the potential relevance of undetected autism spectrum symptoms in a bipolar patient with high work functioning showing a peculiar addictive profile with impulsive and antisocial behaviors. A 23-year-old man with a diagnosis of Bipolar Disorder (BD) and Substance Use Disorder (SUD) was hospitalized at the Psychiatric Clinic of the University of Pisa for diuretics and β -2 adrenergic agonist abuse in a remission phase of benzodiazepines and substance abuse. He reported a history of behavioral addictions in the framework of a global high work functioning with particular skills in computer science...
2018: Case Reports in Psychiatry
https://www.readbyqxmd.com/read/29601060/revealing-neurocomputational-mechanisms-of-reinforcement-learning-and-decision-making-with-the-hbayesdm-package
#5
Woo-Young Ahn, Nathaniel Haines, Lei Zhang
Reinforcement learning and decision-making (RLDM) provide a quantitative framework and computational theories with which we can disentangle psychiatric conditions into the basic dimensions of neurocognitive functioning. RLDM offer a novel approach to assessing and potentially diagnosing psychiatric patients, and there is growing enthusiasm for both RLDM and computational psychiatry among clinical researchers. Such a framework can also provide insights into the brain substrates of particular RLDM processes, as exemplified by model-based analysis of data from functional magnetic resonance imaging (fMRI) or electroencephalography (EEG)...
October 2017: Comput Psychiatr
https://www.readbyqxmd.com/read/29592655/the-error-related-negativity
#6
William J Gehring, Brian Goss, Michael G H Coles, David E Meyer, Emanuel Donchin
We look back on the events surrounding the genesis of our 1993 article on the error-related negativity (ERN), a component of the event-related brain potential that accompanies errors in the performance of speeded-response tasks. Our reminiscences focus on the personal friendships, intellectual influences, and chance occurrences that shaped the article. To put our work in historical context, we consider subsequent trends in neuroimaging, computational modeling, and psychiatry that gave the ERN high visibility and contributed to the longevity of its scientific interest...
March 2018: Perspectives on Psychological Science: a Journal of the Association for Psychological Science
https://www.readbyqxmd.com/read/29578481/deficits-in-regional-cerebral-blood-flow-on-brain-spect-predict-treatment-resistant-depression
#7
Daniel G Amen, Derek V Taylor, Somayeh Meysami, Cyrus A Raji
BACKGROUND: Depression remains an important risk factor for Alzheimer's disease, yet few neuroimaging biomarkers are available to identify treatment response in depression. OBJECTIVE: To analyze and compare functional perfusion neuroimaging in persons with treatment resistant depression (TRD) compared to those experiencing full remission. METHODS: A total of 951 subjects from a community psychiatry cohort were scanned with perfusion single photon emission computed tomography (SPECT) of the brain in both resting and task related settings...
March 22, 2018: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/29571586/personalized-transcranial-magnetic-stimulation-in-psychiatry
#8
REVIEW
Luca Cocchi, Andrew Zalesky
Transcranial magnetic stimulation (TMS) is a noninvasive brain stimulation technique that allows for modulating the activity of local neural populations and related neural networks. TMS is touted as a viable intervention to normalize brain activity and alleviate some psychiatric symptoms. However, TMS interventions are known to be only moderately reliable, and the efficacy of such therapies remains to be proven for psychiatric disorders other than depression. We review new opportunities to personalize TMS interventions using neuroimaging and computational modeling, aiming to optimize treatment to suit particular individuals and clinical subgroups...
March 20, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29528294/clinical-applications-of-stochastic-dynamic-models-of-the-brain-part-ii-a-review
#9
REVIEW
James A Roberts, Karl J Friston, Michael Breakspear
Brain activity derives from intrinsic dynamics (due to neurophysiology and anatomical connectivity) in concert with stochastic effects that arise from sensory fluctuations, brainstem discharges, and random microscopic states such as thermal noise. The dynamic evolution of systems composed of both dynamic and random fluctuations can be studied with stochastic dynamic models (SDMs). This article, Part II of a two-part series, reviews applications of SDMs to large-scale neural systems in health and disease. Stochastic models have already elucidated a number of pathophysiological phenomena, such as epilepsy and hypoxic ischemic encephalopathy, although their use in biological psychiatry remains rather nascent...
April 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29528293/clinical-applications-of-stochastic-dynamic-models-of-the-brain-part-i-a-primer
#10
REVIEW
James A Roberts, Karl J Friston, Michael Breakspear
Biological phenomena arise through interactions between an organism's intrinsic dynamics and stochastic forces-random fluctuations due to external inputs, thermal energy, or other exogenous influences. Dynamic processes in the brain derive from neurophysiology and anatomical connectivity; stochastic effects arise through sensory fluctuations, brainstem discharges, and random microscopic states such as thermal noise. The dynamic evolution of systems composed of both dynamic and random effects can be studied with stochastic dynamic models (SDMs)...
April 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29528292/stochastic-dynamic-models-for-computational-psychiatry-and-computational-neurology
#11
Frederike H Petzschner
No abstract text is available yet for this article.
April 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29501256/-computer-assisted-therapy-and-video-games-in-psychosocial-rehabilitation-for-schizophrenia-patients
#12
G Brun, H Verdoux, G Couhet, C Quiles
OBJECTIVES: Video games and virtual reality have recently become used by clinicians for training or information media or as therapeutic tools. The purpose is to review the use of these technologies for therapy destined for schizophrenia patients. METHODS: We conducted a review in October 2016 using Pubmed, Scopus and PsychInfo using the following Medical Subject Headings (MESH): "video games", "virtual reality" and "therapy, computer-assisted/methods", each associated with "schizophrenia"...
February 28, 2018: L'Encéphale
https://www.readbyqxmd.com/read/29458997/psychiatric-symptom-dimensions-are-associated-with-dissociable-shifts-in-metacognition-but-not-task-performance
#13
Marion Rouault, Tricia Seow, Claire M Gillan, Stephen M Fleming
BACKGROUND: Distortions in metacognition-the ability to reflect on and control other cognitive processes-are thought to be characteristic of poor mental health. However, it remains unknown whether such shifts in self-evaluation are due to specific alterations in metacognition and/or a downstream consequence of changes in decision-making processes. METHODS: Using perceptual decision making as a model system, we employed a computational psychiatry approach to relate parameters governing both decision formation and metacognitive evaluation to self-reported transdiagnostic symptom dimensions in a large general population sample (N = 995)...
January 11, 2018: Biological Psychiatry
https://www.readbyqxmd.com/read/29449789/factors-associated-with-prescribing-costs-analysis-of-a-nationwide-administrative-database
#14
O Hirsch, M Schulz, M Erhart, N Donner-Banzhoff
Objective: All health care systems in the world struggle with rising costs for drugs. We sought to explore factors impacting on prescribing costs in a nationwide database of ambulatory care in Germany. Factors identified by this research can be used for adjustment in future profiling efforts. Methods: We analysed nationwide prescription data of physicians having contractual relationships with statutory health insurance funds in 2014. Predictor and outcome variables were aggregated at the practice level...
2018: Cost Effectiveness and Resource Allocation: C/E
https://www.readbyqxmd.com/read/29394945/computer-aided-sentiment-analysis-of-anorexia-nervosa-patients-vocabulary
#15
Dominik Spinczyk, Karolina Nabrdalik, Katarzyna Rojewska
BACKGROUND: Diagnosing and treating anorexia nervosa is an important challenge for modern psychiatry. Taking into account a connection between the mental state of a person and the characteristics of their language, this paper presents developed and tested method for analyzing the written statements of patients with anorexia nervosa and healthy individuals, including the identification of keywords. METHODS: Due to the short nature of the texts, which is related to the difficulty of expressing oneself about one's body when suffering from anorexia, the bag of words approach was used for documents' information representation...
February 2, 2018: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29373590/risk-preferences-impose-a-hidden-distortion-on-measures-of-choice-impulsivity
#16
Silvia Lopez-Guzman, Anna B Konova, Kenway Louie, Paul W Glimcher
Measuring temporal discounting through the use of intertemporal choice tasks is now the gold standard method for quantifying human choice impulsivity (impatience) in neuroscience, psychology, behavioral economics, public health and computational psychiatry. A recent area of growing interest is individual differences in discounting levels, as these may predispose to (or protect from) mental health disorders, addictive behaviors, and other diseases. At the same time, more and more studies have been dedicated to the quantification of individual attitudes towards risk, which have been measured in many clinical and non-clinical populations using closely related techniques...
2018: PloS One
https://www.readbyqxmd.com/read/29371263/tulsa-1000-a-naturalistic-study-protocol-for-multilevel-assessment-and-outcome-prediction-in-a-large-psychiatric-sample
#17
Teresa A Victor, Sahib S Khalsa, W Kyle Simmons, Justin S Feinstein, Jonathan Savitz, Robin L Aupperle, Hung-Wen Yeh, Jerzy Bodurka, Martin P Paulus
INTRODUCTION: Although neuroscience has made tremendous progress towards understanding the basic neural circuitry underlying important processes such as attention, memory and emotion, little progress has been made in applying these insights to psychiatric populations to make clinically meaningful treatment predictions. The overall aim of the Tulsa 1000 (T-1000) study is to use the NIMH Research Domain Criteria framework in order to establish a robust and reliable dimensional set of variables that quantifies the positive and negative valence, cognition and arousal domains, including interoception, to generate clinically useful treatment predictions...
January 24, 2018: BMJ Open
https://www.readbyqxmd.com/read/29369526/generative-models-for-clinical-applications-in-computational-psychiatry
#18
REVIEW
Stefan Frässle, Yu Yao, Dario Schöbi, Eduardo A Aponte, Jakob Heinzle, Klaas E Stephan
Despite the success of modern neuroimaging techniques in furthering our understanding of cognitive and pathophysiological processes, translation of these advances into clinically relevant tools has been virtually absent until now. Neuromodeling represents a powerful framework for overcoming this translational deadlock, and the development of computational models to solve clinical problems has become a major scientific goal over the last decade, as reflected by the emergence of clinically oriented neuromodeling fields like Computational Psychiatry, Computational Neurology, and Computational Psychosomatics...
January 25, 2018: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/29346018/the-tortoise-and-the-hare-interactions-between-reinforcement-learning-and-working-memory
#19
Anne G E Collins
Learning to make rewarding choices in response to stimuli depends on a slow but steady process, reinforcement learning, and a fast and flexible, but capacity-limited process, working memory. Using both systems in parallel, with their contributions weighted based on performance, should allow us to leverage the best of each system: rapid early learning, supplemented by long-term robust acquisition. However, this assumes that using one process does not interfere with the other. We use computational modeling to investigate the interactions between the two processes in a behavioral experiment and show that working memory interferes with reinforcement learning...
January 18, 2018: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29344604/advancing-clinical-improvements-for-patients-using-the-theory-driven-and-data-driven-branches-of-computational-psychiatry
#20
Quentin J M Huys
No abstract text is available yet for this article.
March 1, 2018: JAMA Psychiatry
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