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

被引:5
作者
Nees, Frauke [1 ,2 ]
Deserno, Lorenz [3 ,4 ,5 ]
Holz, Nathalie E. [2 ]
Romanos, Marcel [3 ]
Banaschewski, Tobias [2 ]
机构
[1] Univ Kiel, Univ Med Ctr Schleswig Holstein, Inst Med Psychol & Med Sociol, Kiel, Germany
[2] Heidelberg Univ, Dept Child & Adolescent Psychiat & Psychotherapy, Cent Inst Mental Hlth, Med Fac Mannheim, Mannheim, Germany
[3] Univ Hosp Wurzburg, Dept Child & Adolescent Psychiat Psychosomat & Ps, Wurzburg, Germany
[4] Max Planck Inst Human Cognit & Brain Sci, Leipzig, Germany
[5] Tech Univ Dresden, Dept Psychiat & Psychotherapy, Dresden, Germany
关键词
life span; prediction; modeling; developmental psychiatry; neurobiology; biomarker; ATTENTION-DEFICIT/HYPERACTIVITY DISORDER; GENERAL PSYCHOPATHOLOGY FACTOR; AGE-OF-ONSET; DIFFERENTIAL SUSCEPTIBILITY; INDIVIDUAL-DIFFERENCES; AMYGDALA REACTIVITY; MENTAL-DISORDERS; BRAIN; COMORBIDITY; DEPRESSION;
D O I
10.3389/fnsys.2021.670404
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 97 条
[81]   Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population [J].
Riglin, Lucy ;
Collishaw, Stephan ;
Thapar, Ajay K. ;
Dalsgaard, Soren ;
Langley, Kate ;
Smith, George Davey ;
Stergiakouli, Evie ;
Maughan, Barbara ;
O'Donovan, Michael C. ;
Thapar, Anita .
JAMA PSYCHIATRY, 2016, 73 (12) :1285-1292
[82]   N-CANDA data integration: anatomy of an asynchronous infrastructure for multi-site, multi-instrument longitudinal data capture [J].
Rohlfing, Torsten ;
Cummins, Kevin ;
Henthorn, Trevor ;
Chu, Weiwei ;
Nichols, B. Nolan .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2014, 21 (04) :758-762
[83]   Is the child father of the Man'? Evaluating the stability of genetic influences across development [J].
Ronald, Angelica .
DEVELOPMENTAL SCIENCE, 2011, 14 (06) :1471-1478
[84]   Prediction complements explanation in understanding the developing brain [J].
Rosenberg, Monica D. ;
Casey, B. J. ;
Holmes, Avram J. .
NATURE COMMUNICATIONS, 2018, 9
[85]   Testing hypotheses on specific environmental causal effects on behavior [J].
Rutter, M ;
Pickles, A ;
Murray, R ;
Eaves, L .
PSYCHOLOGICAL BULLETIN, 2001, 127 (03) :291-324
[86]   The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology [J].
Schumann, G. ;
Loth, E. ;
Banaschewski, T. ;
Barbot, A. ;
Barker, G. ;
Buechel, C. ;
Conrod, P. J. ;
Dalley, J. W. ;
Flor, H. ;
Gallinat, J. ;
Garavan, H. ;
Heinz, A. ;
Itterman, B. ;
Lathrop, M. ;
Mallik, C. ;
Mann, K. ;
Martinot, J-L ;
Paus, T. ;
Poline, J-B ;
Robbins, T. W. ;
Rietschel, M. ;
Reed, L. ;
Smolka, M. ;
Spanagel, R. ;
Speiser, C. ;
Stephens, D. N. ;
Stroehle, A. ;
Struve, M. .
MOLECULAR PSYCHIATRY, 2010, 15 (12) :1128-1139
[87]   Developmental Change in Amygdala Reactivity During Adolescence: Effects of Family History of Depression and Stressful Life Events [J].
Swartz, Johnna R. ;
Williamson, Douglas E. ;
Hariri, Ahmad R. .
AMERICAN JOURNAL OF PSYCHIATRY, 2015, 172 (03) :276-283
[88]   A qualitative process evaluation of a randomised controlled trial of a parenting intervention in community (school) settings for children at risk of attention deficit hyperactivity disorder (ADHD) [J].
Taylor, John A. ;
Valentine, Althea Z. ;
Sellman, Edward ;
Bransby-Adams, Kate ;
Daley, David ;
Sayal, Kapil .
BMC PSYCHIATRY, 2015, 15
[89]   The importance of a developmental perspective in Psychiatry: what do recent genetic-epidemiological findings show? [J].
Thapar, Anita ;
Riglin, Lucy .
MOLECULAR PSYCHIATRY, 2020, 25 (08) :1631-1639
[90]   Newborn amygdala connectivity and early emerging fear [J].
Thomas, Elina ;
Buss, Claudia ;
Rasmussen, Jerod M. ;
Entringer, Sonja ;
Ramirez, Julian S. B. ;
Marr, Mollie ;
Rudolph, Marc D. ;
Gilmore, John H. ;
Styner, Martin ;
Wadhwa, Pathik D. ;
Fair, Damien A. ;
Graham, Alice M. .
DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 2019, 37