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  1. Book ; Online ; E-Book: Precision psychiatry

    Williams, Leanne M. / Hack, Laura M.

    using neuroscience insights to inform personally tailored, measurement-based care

    2022  

    Abstract: An estimated 970 million people worldwide experienced a mental or substance disorder in the past few years, and one in five people in the United States live with a mental disorder at some point in their lives. Progress in precision medicine in ... ...

    Author's details edited by Leanne M. Williams, Laura M. Hack
    Abstract "An estimated 970 million people worldwide experienced a mental or substance disorder in the past few years, and one in five people in the United States live with a mental disorder at some point in their lives. Progress in precision medicine in disciplines outside of psychiatry, such as oncology and cardiology, has inspired progress reflected in the contributions in this book. In these disciplines, biomarkers are combined with clinical features to stratify patients into subtypes that are more coherent than are overarching diagnostic categories. This approach allows for identifying subtypes that are underserved by available therapies and allows for developing novel therapies aimed at targets that are based on specific mechanisms that affect measurable outcomes and that are closer to underlying disease processes than are traditional clinical endpoints.^

    This book illustrates timely advances emerging in precision medicine in psychiatry, focusing on mood and anxiety disorders as well as schizophrenia in adults. Contributors to this book have a common view that a neuroscience- and data-informed approach is required to advance precision medicine in psychiatry. This book includes case examples of the applications of the topics covered, and the last chapter discusses the critical role of neuroscience education in precision psychiatry. The authors represent a range of expertise and have played fundamental roles in the development of the discipline of precision psychiatry. Biomarkers in neuroimaging, electrophysiology, and peripheral serum, as well as variations in genetic markers, neurocognition, and behavior, are covered, as is the importance of computational approaches and machine learning.^

    The authors also review the precise application of multiple treatment modalities that include pharmacotherapy, cognitive-behavioral therapy, neurostimulation, and cognitive training programs on the individual level. Finally, this book addresses issues of scalability and implementation, including the need for the tests to have analytic and clinical validity as well as clinical utility"--
    Keywords Neuropsychiatry / methods ; Precision Medicine / methods ; Biomarkers / analysis
    Subject code 616.8
    Language English
    Size 1 Online-Ressource (xxvii, 264 Seiten)
    Edition First edition
    Publisher American Psychiatric Association Publishing
    Publishing place Washington, DC
    Publishing country United States
    Document type Book ; Online ; E-Book
    Note Includes bibliographical references and index
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT021128509
    ISBN 9781615374458 ; 9781615371587 ; 1615374450 ; 1615371583
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Brain Circuit-Derived Biotypes for Treatment Selection in Mood Disorders: A Critical Review and Illustration of a Functional Neuroimaging Tool for Clinical Translation.

    Song, Evelyn Jiayi / Tozzi, Leonardo / Williams, Leanne M

    Biological psychiatry

    2024  

    Abstract: Although the lifetime burden due to major depressive disorder is increasing, we lack tools for selecting the most effective treatments for each patient. One-third to one-half of patients with major depressive disorder do not respond to treatment, and we ... ...

    Abstract Although the lifetime burden due to major depressive disorder is increasing, we lack tools for selecting the most effective treatments for each patient. One-third to one-half of patients with major depressive disorder do not respond to treatment, and we lack strategies for selecting among available treatments or expediting access to new treatment options. This critical review concentrates on functional neuroimaging as a modality of measurement for precision psychiatry. We begin by summarizing the current landscape of how functional neuroimaging-derived circuit predictors can forecast treatment outcomes in depression. Then, we outline the opportunities and challenges in integrating circuit predictors into clinical practice. We highlight one standardized and reproducible approach for quantifying brain circuit function at an individual level, which could serve as a model for clinical translation. We conclude by evaluating the prospects and practicality of employing neuroimaging tools, such as the one that we propose, in routine clinical practice.
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 209434-4
    ISSN 1873-2402 ; 0006-3223
    ISSN (online) 1873-2402
    ISSN 0006-3223
    DOI 10.1016/j.biopsych.2024.03.016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Transforming Psychiatry Through Novel Neuroscience: Computational and Developmental Frameworks Guided by Research Domain Criteria.

    Williams, Leanne M

    Biological psychiatry

    2020  Volume 87, Issue 4, Page(s) 314–315

    MeSH term(s) Brain ; Humans ; Neurosciences ; Psychiatry
    Language English
    Publishing date 2020-02-10
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 209434-4
    ISSN 1873-2402 ; 0006-3223
    ISSN (online) 1873-2402
    ISSN 0006-3223
    DOI 10.1016/j.biopsych.2019.12.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: More Research Needed on the Association Between Genotype and Antidepressant Response: Response to Fabbri et al.

    Williams, Leanne M

    The American journal of psychiatry

    2018  Volume 175, Issue 6, Page(s) 576–577

    MeSH term(s) Antidepressive Agents ; Corticotropin-Releasing Hormone ; Depressive Disorder, Major ; Genetic Variation ; Genotype ; Humans
    Chemical Substances Antidepressive Agents ; Corticotropin-Releasing Hormone (9015-71-8)
    Language English
    Publishing date 2018-06-21
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2018.18010070r
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Amygdala-Guided Neurofeedback for Major Depression.

    Williams, Leanne M

    The American journal of psychiatry

    2017  Volume 174, Issue 8, Page(s) 717–718

    Language English
    Publishing date 2017-08-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2017.17050561
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Getting Personalized: Brain Scan Biomarkers for Guiding Depression Interventions.

    Williams, Leanne M

    The American journal of psychiatry

    2017  Volume 174, Issue 6, Page(s) 503–505

    Language English
    Publishing date 2017-06-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2017.17030314
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A precision medicine-based, 'fast-fail' approach for psychiatry.

    Williams, Leanne M / Hack, Laura M

    Nature medicine

    2020  Volume 26, Issue 5, Page(s) 653–654

    MeSH term(s) Anhedonia ; Humans ; Narcotic Antagonists ; Precision Medicine ; Psychiatry
    Chemical Substances Narcotic Antagonists
    Language English
    Publishing date 2020-05-11
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-020-0854-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: The impact of COVID-19 on mental health: The interactive roles of brain biotypes and human connection.

    Hagerty, Sarah L / Williams, Leanne M

    Brain, behavior, & immunity - health

    2020  Volume 5, Page(s) 100078

    Abstract: COVID-19 along with the mitigation strategies being used to address the virus pose significant threats to our individual and collective mental health. As the crisis evolves and persists, it will be increasingly important for the research community to ... ...

    Abstract COVID-19 along with the mitigation strategies being used to address the virus pose significant threats to our individual and collective mental health. As the crisis evolves and persists, it will be increasingly important for the research community to conduct investigations that address the mental health consequences of COVID-19. The causes of mental health effects in the context of COVID-19 are multifactorial and likely include biological, behavioral, and environmental determinants. We argue that the COVID-19 crisis significantly threatens our basic human need for human connection, which might serve as a crucial environmental factor that could underlie the overall insult to our mental health. Furthermore, "brain styles," which we have previously conceptualized as "biotypes" that are informed by a neural taxonomy, might interact with the universal threat to our need for human connection to explain the mental health consequences of COVID-19 from a precision psychiatry perspective. The goal of this viewpoint is to inspire research on the mental health consequences of COVID-19 from an individualized, brain-based perspective that honors the profound threat that the virus poses to our basic human motivations.
    Keywords covid19
    Language English
    Publishing date 2020-05-07
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2666-3546
    ISSN (online) 2666-3546
    DOI 10.1016/j.bbih.2020.100078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Big data in psychiatry: multiomics, neuroimaging, computational modeling, and digital phenotyping.

    Ressler, Kerry J / Williams, Leanne M

    Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

    2020  Volume 46, Issue 1, Page(s) 1–2

    MeSH term(s) Big Data ; Neuroimaging ; Psychiatry
    Language English
    Publishing date 2020-09-12
    Publishing country England
    Document type Editorial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 639471-1
    ISSN 1740-634X ; 0893-133X
    ISSN (online) 1740-634X
    ISSN 0893-133X
    DOI 10.1038/s41386-020-00862-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Precision psychiatry: a neural circuit taxonomy for depression and anxiety.

    Williams, Leanne M

    The lancet. Psychiatry

    2016  Volume 3, Issue 5, Page(s) 472–480

    Abstract: Although there have been tremendous advances in the understanding of human dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain-based taxonomy for mental disease is still lacking. As a result, these advances ... ...

    Abstract Although there have been tremendous advances in the understanding of human dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain-based taxonomy for mental disease is still lacking. As a result, these advances have not been translated into actionable clinical tools, and the language of brain circuits has not been incorporated into training programmes. To address this gap, I present this synthesis of published work, with a focus on functional imaging of circuit dysfunctions across the spectrum of mood and anxiety disorders. This synthesis provides the foundation for a taxonomy of putative types of dysfunction, which cuts across traditional diagnostic boundaries for depression and anxiety and includes instead distinct types of neural circuit dysfunction that together reflect the heterogeneity of depression and anxiety. This taxonomy is suited to specifying symptoms in terms of underlying neural dysfunction at the individual level and is intended as the foundation for building mechanistic research and ultimately guiding clinical practice.
    MeSH term(s) Anxiety/physiopathology ; Brain/physiopathology ; Depression/physiopathology ; Humans ; Neural Pathways/physiopathology ; Psychiatry
    Language English
    Publishing date 2016-05
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2215-0374
    ISSN (online) 2215-0374
    DOI 10.1016/S2215-0366(15)00579-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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