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  Prediction along a developmental perspective in psychiatry: How far might we go?

Nees, F., Deserno, L., Holz, N. E., Romanos, M., & Banaschewski, T. (2021). Prediction along a developmental perspective in psychiatry: How far might we go? Frontiers in Systems Neuroscience, 15: 670404. doi:10.3389/fnsys.2021.670404.

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 Creators:
Nees, Frauke1, 2, Author
Deserno, Lorenz3, 4, 5, Author           
Holz, Nathalie E.2, Author
Romanos, Marcel3, Author
Banaschewski, Tobias2, Author
Affiliations:
1Institute of Medical Psychology and Medical Sociology, University Hospital of Schleswig-Holstein, Kiel, Germany, ou_persistent22              
2Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Germany, ou_persistent22              
3Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Würzburg, Germany, ou_persistent22              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
5Department of Psychiatry and Psychotherapy, TU Dresden, Germany, ou_persistent22              

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Free keywords: Life span; Prediction; Modeling; Developmental psychiatry; Neurobiology; Biomarker
 Abstract: 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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Language(s): eng - English
 Dates: 2021-07-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fnsys.2021.670404
PMID: 34295227
PMC: PMC8290854
 Degree: -

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Project name : -
Grant ID : FKZ 01EE1408E
Funding program : -
Funding organization : German Federal Ministry of Education and Research

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Title: Frontiers in Systems Neuroscience
  Abbreviation : Front Syst Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 15 Sequence Number: 670404 Start / End Page: - Identifier: ISSN: 1662-5137
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5137