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Thinking computationally in translational psychiatry. A commentary on Neville et al. (2024)
There is a growing focus on the computational aspects of psychiatric disorders in humans. This idea also is gaining traction in nonhuman animal...
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Challenges and Opportunities for Experimental Psychopathology and Translational Research
As with all contributions to this volume, this chapter is written in loving memory of Scott Lilienfeld, whom I had the pleasure of knowing as a...
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The Challenge of Translational Research: How Do We Get from Basic Research Findings to Evidence-Based Interventions?
In an effort to develop and improve psychological treatments, translational research appears especially promising. In this chapter we present a...
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A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals
Objective measures of animal emotion-like and mood-like states are essential for preclinical studies of affective disorders and for assessing the...
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Mental Health Services Research and Community Psychiatry
Whether you are a clinician, administrator, policymaker, or trainee, you likely find yourself asking questions about the quality, cost, reach, and...
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Transdisciplinary Translational Science for Youth Health and Wellness: Introduction to a Special Issue
BackgroundTransdisciplinary translational science applies interdisciplinary approaches to the generation of novel concepts, theories and methods...
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Biological subty** of psychiatric syndromes as a pathway for advances in drug discovery and personalized medicine
Every common psychiatric syndrome is genetically, neurobiologically and clinically heterogeneous. This heterogeneity may reflect the dimensional...
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A Sco** Review to Develop a Framework of Asynchronous Technology Competencies for Psychiatry and Medicine
Asynchronous technologies like mobile health, e-mail, e-consult, and asynchronous video telepsychiatry are effective modes of service delivery to a...
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The Transformation of Depression
This chapter is focused on the concept of depression, and how this mental disorder was transformed from a rare but severe condition into a highly...
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Opening new vistas on obsessive-compulsive disorder with the observing response task
Obsessive-compulsive disorder (OCD), a highly prevalent and debilitating disorder, is incompletely understood in terms of underpinning behavioural,...
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Distinct Neural Profiles of Frontoparietal Networks in Boys with ADHD and Boys with Persistent Depressive Disorder
Working memory deficits are common in attention-deficit/hyperactivity disorder (ADHD) and depression—two common neurodevelopmental disorders with...
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Affective Science Research: Perspectives and Priorities from the National Institutes of Health
Affective science is a broad and burgeoning field, and the National Institutes of Health (NIH) support research on a similarly broad range of topics....
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An Integrated General Theory of Psychopathology and Suicide
This article presents biological meta-theory that is intended to serve as a shared key to progress in psychiatry and suicidology. It argues that...
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Global Collaboration Around Digital Mental Health: The LAMP Consortium
Despite the great potential, there has been a lack of progress in the development of sharable and scalable tools for digital mental health due to...
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Exploring mechanisms of psychedelic action using neuroimaging
Modern psychedelic research and clinical development is at a crucial inflection point, with great potential for the treatment of many mental...
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Test–retest reliability of reinforcement learning parameters
It has recently been suggested that parameter estimates of computational models can be used to understand individual differences at the process...
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Preclinical animal models and assays of neuropsychiatric disorders: Old problems and New Vistas - introduction to the special issue
Preclinical research is an essential aspect of biomedical science that aids in clarifying the pathophysiology of underlying illness and devising new...
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Clinical Psychology in the Era of Research Diagnostic Criteria (RDoC): Reconciling Individually-Focused Practice with a Broader Biopsychosocial Context
There is growing consensus that diagnostic labels are insufficient to describe the individual child’s psychiatric profile, much less inform the...
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Role of AI/ML in the Study of Autism Spectrum Disorders: A Bibliometric Analysis
This paper reviews the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in studying autism spectrum disorders...
