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computational model mental illness

Aimina Ayoub, William D Fraser, Nancy Low, Laura Arbour, Jessica Healy-Profitós, Nathalie Auger
We sought to determine the relationship between maternal mental illness and the risk of having an infant with a central nervous system defect. We analyzed a cohort of 654,882 women aged less than 20 years between 1989 and 2013 who later delivered a live born infant in any hospital in Quebec, Canada. The primary exposure was mental illness during pregnancy or hospitalization for mental illness before pregnancy. The outcomes were neural and non-neural tube defects of the central nervous system in any offspring...
February 22, 2018: Archives of Women's Mental Health
Liye Zou, Albert Yeung, Xinfeng Quan, Stanley Sai-Chuen Hui, Xiaoyue Hu, Jessie S M Chan, Chaoyi Wang, Sean David Boyden, Li Sun, Huiru Wang
OBJECTIVES: we used a quantitative method to systematically synthesize the emerging literature and critically evaluate the effects of Baduanjin on depression and anxiety in people with physical or mental illnesses. Additionally, we determined if the number of total Baduanjin training sessions is associated with decreased anxiety and depression levels. METHODS: both English and Chinese databases were searched for potential studies published between January 1982 and October 2017...
February 12, 2018: International Journal of Environmental Research and Public Health
Steven E Hyman
An epochal opportunity to elucidate the pathogenic mechanisms of psychiatric disorders has emerged from advances in genomic technology, new computational tools and the growth of international consortia committed to data sharing. The resulting large-scale, unbiased genetic studies have begun to yield new biological insights and with them the hope that a half century of stasis in psychiatric therapeutics will come to an end. Yet a sobering picture is coming into view; it reveals daunting genetic and phenotypic complexity portending enormous challenges for neurobiology...
March 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
A P Inderkum, L Tarokh
Adolescence development is characterized by significant changes in sleep biology. Despite an overall decline in sleep duration and a delay in bedtime, significant inter-individual variation in sleep has been reported. The aim of the current study was to examine genetic and environmental influences on sleep in adolescence using long-term (6-month) actigraphy measurements, differentiating between school and free days. Sixteen monozygotic (MZ; n = 32) and 10 dizygotic (DZ; n = 20) twin pairs (mean age 12.8 ± 1...
January 10, 2018: Sleep
Anne G Crocker, Michael S Martin, Marichelle C Leclair, Tonia L Nicholls, Michael C Seto
The early and late starter model provides one of the most enduring frameworks for understanding the developmental course and severity of violence and criminality among individuals with severe mental illness. We expanded the model to account for differences in the age of onset of criminal behavior and added a group with no prior contact with the justice or mental health systems. We sampled 1,800 men and women found Not Criminally Responsible on account of Mental Disorder in 3 Canadian provinces. Using a retrospective file-based study, we explored differences in criminal, health, demographic, and social functioning characteristics, processing through the forensic psychiatric system and recidivism outcomes of 5 groups...
February 2018: Law and Human Behavior
Andrew G Reece, Andrew J Reagan, Katharina L M Lix, Peter Sheridan Dodds, Christopher M Danforth, Ellen J Langer
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic style, and context from participant tweets (N = 279,951) and built models using these features with supervised learning algorithms. Resulting models successfully discriminated between depressed and healthy content, and compared favorably to general practitioners' average success rates in diagnosing depression, albeit in a separate population...
October 11, 2017: Scientific Reports
Peng Li, Ri-Xing Jing, Rong-Jiang Zhao, Zeng-Bo Ding, Le Shi, Hong-Qiang Sun, Xiao Lin, Teng-Teng Fan, Wen-Tian Dong, Yong Fan, Lin Lu
Previous studies suggested that electroconvulsive therapy can influence regional metabolism and dopamine signaling, thereby alleviating symptoms of schizophrenia. It remains unclear what patients may benefit more from the treatment. The present study sought to identify biomarkers that predict the electroconvulsive therapy response in individual patients. Thirty-four schizophrenia patients and 34 controls were included in this study. Patients were scanned prior to treatment and after 6 weeks of treatment with antipsychotics only (n = 16) or a combination of antipsychotics and electroconvulsive therapy (n = 13)...
May 11, 2017: NPJ Schizophrenia
Donald M Hilty, Steven Chan, Tiffany Hwang, Alice Wong, Amy M Bauer
Mobile health (mHealth), telemedicine and other technology-based services facilitate mental health service delivery and may be considered part of an e-mental health (eMH) spectrum of care. Web- and Internet-based resources provide a great opportunity for the public, patients, healthcare providers and others to improve wellness, practice prevention and reduce suffering from illnesses. Mobile apps offer portability for access anytime/anywhere, are inexpensive versus traditional desktop computers, and have additional features (e...
2017: MHealth
Brett R Gordon, Cillian P McDowell, Mark Lyons, Matthew P Herring
BACKGROUND: The salutary effects of resistance exercise training (RET) are well established, including increased strength and function; however, less is known regarding the effects of RET on mental health outcomes. Aerobic exercise has well-documented positive effects on anxiety, but a quantitative synthesis of RET effects on anxiety is needed. OBJECTIVES: To estimate the population effect size for resistance exercise training (RET) effects on anxiety and to determine whether variables of logical, theoretical, and/or prior empirical relation to anxiety moderate the overall effect...
December 2017: Sports Medicine
Akkapon Wongkoblap, Miguel A Vadillo, Vasa Curcin
BACKGROUND: Mental illness is quickly becoming one of the most prevalent public health problems worldwide. Social network platforms, where users can express their emotions, feelings, and thoughts, are a valuable source of data for researching mental health, and techniques based on machine learning are increasingly used for this purpose. OBJECTIVE: The objective of this review was to explore the scope and limits of cutting-edge techniques that researchers are using for predictive analytics in mental health and to review associated issues, such as ethical concerns, in this area of research...
June 29, 2017: Journal of Medical Internet Research
Albert R Powers, Megan Kelley, Philip R Corlett
The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a 'top-down' manner by higher-level cognition-a natural extension of hierarchical models of perception-may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process...
September 2016: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Alex S Cohen, Thanh P Le, Taylor L Fedechko, Brita Elvevåg
Thought disorder is a pernicious and nonspecific aspect of numerous serious mental illnesses (SMIs) and related conditions. Despite decades of empirical research on thought disorder, our present understanding of it is poor, our clinical assessments focus on a limited set of extreme behaviors, and treatments are palliative at best. Applying a Research Domain Criteria (RDoC) framework to thought disorder research offers advantages to explicate its phenotype; isolate its mechanisms; and develop more effective assessments, treatments, and potential cures...
May 1, 2017: Schizophrenia Bulletin
Gregg W Crabtree, Ziyi Sun, Mirna Kvajo, Jantine A C Broek, Karine Fénelon, Heather McKellar, Lan Xiao, Bin Xu, Sabine Bahn, James M O'Donnell, Joseph A Gogos
Using a genetic mouse model that faithfully recapitulates a DISC1 genetic alteration strongly associated with schizophrenia and other psychiatric disorders, we examined the impact of this mutation within the prefrontal cortex. Although cortical layering, cytoarchitecture, and proteome were found to be largely unaffected, electrophysiological examination of the mPFC revealed both neuronal hyperexcitability and alterations in short-term synaptic plasticity consistent with enhanced neurotransmitter release. Increased excitability of layer II/III pyramidal neurons was accompanied by consistent reductions in voltage-activated potassium currents near the action potential threshold as well as by enhanced recruitment of inputs arising from superficial layers to layer V...
April 12, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Kelly M J Diederen, Hisham Ziauddeen, Martin D Vestergaard, Tom Spencer, Wolfram Schultz, Paul C Fletcher
Learning to optimally predict rewards requires agents to account for fluctuations in reward value. Recent work suggests that individuals can efficiently learn about variable rewards through adaptation of the learning rate, and coding of prediction errors relative to reward variability. Such adaptive coding has been linked to midbrain dopamine neurons in nonhuman primates, and evidence in support for a similar role of the dopaminergic system in humans is emerging from fMRI data. Here, we sought to investigate the effect of dopaminergic perturbations on adaptive prediction error coding in humans, using a between-subject, placebo-controlled pharmacological fMRI study with a dopaminergic agonist (bromocriptine) and antagonist (sulpiride)...
February 15, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Eeeseung Byun, Barbara Riegel, Marilyn Sommers, Nancy Tkacs, Lois Evans
BACKGROUND: Caregivers of stroke survivors experience high rates of mental and physical morbidity. Stroke has sudden onset, and the outcome is not immediately known. Uncertainties surrounding the new caregiving role may not only necessitate major changes in the lives of family caregivers but also contribute to negative health outcomes for the caregiver. PURPOSE: The purposes of this study were to describe caregiver uncertainty across the early weeks after a family member's stroke and to explore characteristics of caregivers and stroke survivors associated with that uncertainty...
December 2016: Journal of Neuroscience Nursing: Journal of the American Association of Neuroscience Nurses
Bradley Carron-Arthur, Julia Reynolds, Kylie Bennett, Anthony Bennett, Kathleen M Griffiths
BACKGROUND: The majority of content in an Internet Support Group (ISG) is contributed by 1 % of the users ('super users'). Computational methods, such as topic modelling, can provide a large-scale quantitative objective description of this content. Such methods may provide a new perspective on the nature of engagement on ISGs including the role of super users and their possible effect on other users. METHODS: A topic model was computed for all posts (N = 131,004) in the ISG BlueBoard using Latent Dirichlet Allocation...
October 28, 2016: BMC Psychiatry
Torsten Oliver Salge, David Antons, Patrick Cichy, J Nils Foege, Julian Hannen, Antje S J Huetten
BACKGROUND: It is now widely established that health care organizations are well advised not only to identify and act upon the concerns of all patient groups but also to encourage and enable them to voice their concerns in the first place. That said, research has begun to reveal that patients differ substantially in their readiness to complain, with many deciding to remain silent even after experiencing severe adverse events. Little research has explored whether patients at the margins (e...
October 25, 2016: Health Care Management Review
Anna C Makowski, Eva E Mnich, Matthias C Angermeyer, Olaf von dem Knesebeck
BACKGROUND: Individuals with mental illness often experience stigmatization and encounter stereotypes such as being dangerous or unpredictable. To further improve measures against psychiatric stigma, it is of importance to understand its components. In this study, we attend to the step of separation between "us" and "them" in the stigma process as conceptualized by Link and Phelan. In using the belief in continuity of mental illness symptoms as a proxy for separation, we explore its associations with stereotypes, emotional responses and desire for social distance in the stigma process...
2016: PeerJ
Neil Thomas, John Farhall, Fiona Foley, Susan L Rossell, David Castle, Emma Ladd, Denny Meyer, Cathrine Mihalopoulos, Nuwan Leitan, Cassy Nunan, Rosalie Frankish, Tara Smark, Sue Farnan, Bronte McLeod, Leon Sterling, Greg Murray, Ellie Fossey, Lisa Brophy, Michael Kyrios
BACKGROUND: Psychosocial interventions have an important role in promoting recovery in people with persisting psychotic disorders such as schizophrenia. Readily available, digital technology provides a means of developing therapeutic resources for use together by practitioners and mental health service users. As part of the Self-Management and Recovery Technology (SMART) research program, we have developed an online resource providing materials on illness self-management and personal recovery based on the Connectedness-Hope-Identity-Meaning-Empowerment (CHIME) framework...
September 7, 2016: BMC Psychiatry
Yuanchuan Wang, Hongxiu Zhong, Chonggang Wang, Dongxu Gao, Yulin Zhou, Zhenghong Zuo
Autism spectrum disorder (ASD) is a serious debilitating mental illness with complex symptoms and multi-factorial pathogenesis. Although the pathogenesis of ASD remains unclear, etiology is thought to involve complex, multigenic interactions and possible environmental contributions. In the present study, we used zebrafish (Danio rerio) as a model to investigate whether maternal exposure to the water soluble fraction of crude oil (WSF, 5μg/L), lead (Pb, 20μg/L) and their mixture (5 μg/L WSF+20 μg/L Pb) could induce autism-like behavior in larvae...
August 26, 2016: Ecotoxicology and Environmental Safety
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