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Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?

Most mental disorders originate in childhood, and once symptoms present, a variety of psychosocial and cognitive maladjustments may arise. Although early childhood problems are generally associated with later mental health impairments and psychopathology, pluripotent transdiagnostic trajectories may...

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Autores principales: Nees, Frauke, Deserno, Lorenz, Holz, Nathalie E., Romanos, Marcel, Banaschewski, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290854/
https://www.ncbi.nlm.nih.gov/pubmed/34295227
http://dx.doi.org/10.3389/fnsys.2021.670404
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author Nees, Frauke
Deserno, Lorenz
Holz, Nathalie E.
Romanos, Marcel
Banaschewski, Tobias
author_facet Nees, Frauke
Deserno, Lorenz
Holz, Nathalie E.
Romanos, Marcel
Banaschewski, Tobias
author_sort Nees, Frauke
collection PubMed
description Most mental disorders originate in childhood, and once symptoms present, a variety of psychosocial and cognitive maladjustments may arise. Although early childhood problems are generally associated with later mental health impairments and psychopathology, pluripotent transdiagnostic trajectories may manifest. Possible predictors range from behavioral and neurobiological mechanisms, genetic predispositions, environmental and social factors, and psychopathological comorbidity. They may manifest in altered neurodevelopmental trajectories and need to be validated capitalizing on large-scale multi-modal epidemiological longitudinal cohorts. Moreover, clinical and etiological variability between patients with the same disorders represents a major obstacle to develop effective treatments. Hence, in order to achieve stratification of patient samples opening the avenue of adapting and optimizing treatment for the individual, there is a need to integrate data from multi-dimensionally phenotyped clinical cohorts and cross-validate them with epidemiological cohort data. In the present review, we discuss these aspects in the context of externalizing and internalizing disorders summarizing the current state of knowledge, obstacles, and pitfalls. Although a large number of studies have already increased our understanding on neuropsychobiological mechanisms of mental disorders, it became also clear that this knowledge might only be the tip of the Eisberg and that a large proportion still remains unknown. We discuss prediction strategies and how the integration of different factors and methods may provide useful contributions to research and at the same time may inform prevention and intervention.
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spelling pubmed-82908542021-07-21 Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go? Nees, Frauke Deserno, Lorenz Holz, Nathalie E. Romanos, Marcel Banaschewski, Tobias Front Syst Neurosci Neuroscience Most mental disorders originate in childhood, and once symptoms present, a variety of psychosocial and cognitive maladjustments may arise. Although early childhood problems are generally associated with later mental health impairments and psychopathology, pluripotent transdiagnostic trajectories may manifest. Possible predictors range from behavioral and neurobiological mechanisms, genetic predispositions, environmental and social factors, and psychopathological comorbidity. They may manifest in altered neurodevelopmental trajectories and need to be validated capitalizing on large-scale multi-modal epidemiological longitudinal cohorts. Moreover, clinical and etiological variability between patients with the same disorders represents a major obstacle to develop effective treatments. Hence, in order to achieve stratification of patient samples opening the avenue of adapting and optimizing treatment for the individual, there is a need to integrate data from multi-dimensionally phenotyped clinical cohorts and cross-validate them with epidemiological cohort data. In the present review, we discuss these aspects in the context of externalizing and internalizing disorders summarizing the current state of knowledge, obstacles, and pitfalls. Although a large number of studies have already increased our understanding on neuropsychobiological mechanisms of mental disorders, it became also clear that this knowledge might only be the tip of the Eisberg and that a large proportion still remains unknown. We discuss prediction strategies and how the integration of different factors and methods may provide useful contributions to research and at the same time may inform prevention and intervention. Frontiers Media S.A. 2021-07-06 /pmc/articles/PMC8290854/ /pubmed/34295227 http://dx.doi.org/10.3389/fnsys.2021.670404 Text en Copyright © 2021 Nees, Deserno, Holz, Romanos and Banaschewski. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Nees, Frauke
Deserno, Lorenz
Holz, Nathalie E.
Romanos, Marcel
Banaschewski, Tobias
Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title_full Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title_fullStr Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title_full_unstemmed Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title_short Prediction Along a Developmental Perspective in Psychiatry: How Far Might We Go?
title_sort prediction along a developmental perspective in psychiatry: how far might we go?
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290854/
https://www.ncbi.nlm.nih.gov/pubmed/34295227
http://dx.doi.org/10.3389/fnsys.2021.670404
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