Identifying biological markers for improved precision medicine in psychiatry

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Identifying biological markers for improved precision medicine in psychiatry. / Quinlan, Erin Burke; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Bromberg, Uli; Büchel, Christian; Desrivières, Sylvane; Flor, Herta; Frouin, Vincent; Garavan, Hugh; Heinz, Andreas; Brühl, Rüdiger; Martinot, Jean-Luc; Paillère Martinot, Marie-Laure; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Paus, Tomáš; Poustka, Luise; Hohmann, Sarah; Smolka, Michael N; Fröhner, Juliane H; Walter, Henrik; Whelan, Robert; Schumann, Gunter; IMAGEN Consortium.

In: MOL PSYCHIATR, Vol. 25, No. 2, 02.2020, p. 243-253.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Quinlan, EB, Banaschewski, T, Barker, GJ, Bokde, ALW, Bromberg, U, Büchel, C, Desrivières, S, Flor, H, Frouin, V, Garavan, H, Heinz, A, Brühl, R, Martinot, J-L, Paillère Martinot, M-L, Nees, F, Orfanos, DP, Paus, T, Poustka, L, Hohmann, S, Smolka, MN, Fröhner, JH, Walter, H, Whelan, R, Schumann, G & IMAGEN Consortium 2020, 'Identifying biological markers for improved precision medicine in psychiatry', MOL PSYCHIATR, vol. 25, no. 2, pp. 243-253. https://doi.org/10.1038/s41380-019-0555-5

APA

Quinlan, E. B., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Bromberg, U., Büchel, C., Desrivières, S., Flor, H., Frouin, V., Garavan, H., Heinz, A., Brühl, R., Martinot, J-L., Paillère Martinot, M-L., Nees, F., Orfanos, D. P., Paus, T., Poustka, L., Hohmann, S., ... IMAGEN Consortium (2020). Identifying biological markers for improved precision medicine in psychiatry. MOL PSYCHIATR, 25(2), 243-253. https://doi.org/10.1038/s41380-019-0555-5

Vancouver

Bibtex

@article{b99788c1b1e1457d8a8eb288d384f58b,
title = "Identifying biological markers for improved precision medicine in psychiatry",
abstract = "Mental disorders represent an increasing personal and financial burden and yet treatment development has stagnated in recent decades. Current disease classifications do not reflect psychobiological mechanisms of psychopathology, nor the complex interplay of genetic and environmental factors, likely contributing to this stagnation. Ten years ago, the longitudinal IMAGEN study was designed to comprehensively incorporate neuroimaging, genetics, and environmental factors to investigate the neural basis of reinforcement-related behavior in normal adolescent development and psychopathology. In this article, we describe how insights into the psychobiological mechanisms of clinically relevant symptoms obtained by innovative integrative methodologies applied in IMAGEN have informed our current and future research aims. These aims include the identification of symptom groups that are based on shared psychobiological mechanisms and the development of markers that predict disease course and treatment response in clinical groups. These improvements in precision medicine will be achieved, in part, by employing novel methodological tools that refine the biological systems we target. We will also implement our approach in low- and medium-income countries to understand how distinct environmental, socioeconomic, and cultural conditions influence the development of psychopathology. Together, IMAGEN and related initiatives strive to reduce the burden of mental disorders by developing precision medicine approaches globally.",
author = "Quinlan, {Erin Burke} and Tobias Banaschewski and Barker, {Gareth J} and Bokde, {Arun L W} and Uli Bromberg and Christian B{\"u}chel and Sylvane Desrivi{\`e}res and Herta Flor and Vincent Frouin and Hugh Garavan and Andreas Heinz and R{\"u}diger Br{\"u}hl and Jean-Luc Martinot and {Paill{\`e}re Martinot}, Marie-Laure and Frauke Nees and Orfanos, {Dimitri Papadopoulos} and Tom{\'a}{\v s} Paus and Luise Poustka and Sarah Hohmann and Smolka, {Michael N} and Fr{\"o}hner, {Juliane H} and Henrik Walter and Robert Whelan and Gunter Schumann and {IMAGEN Consortium}",
year = "2020",
month = feb,
doi = "10.1038/s41380-019-0555-5",
language = "English",
volume = "25",
pages = "243--253",
journal = "MOL PSYCHIATR",
issn = "1359-4184",
publisher = "NATURE PUBLISHING GROUP",
number = "2",

}

RIS

TY - JOUR

T1 - Identifying biological markers for improved precision medicine in psychiatry

AU - Quinlan, Erin Burke

AU - Banaschewski, Tobias

AU - Barker, Gareth J

AU - Bokde, Arun L W

AU - Bromberg, Uli

AU - Büchel, Christian

AU - Desrivières, Sylvane

AU - Flor, Herta

AU - Frouin, Vincent

AU - Garavan, Hugh

AU - Heinz, Andreas

AU - Brühl, Rüdiger

AU - Martinot, Jean-Luc

AU - Paillère Martinot, Marie-Laure

AU - Nees, Frauke

AU - Orfanos, Dimitri Papadopoulos

AU - Paus, Tomáš

AU - Poustka, Luise

AU - Hohmann, Sarah

AU - Smolka, Michael N

AU - Fröhner, Juliane H

AU - Walter, Henrik

AU - Whelan, Robert

AU - Schumann, Gunter

AU - IMAGEN Consortium

PY - 2020/2

Y1 - 2020/2

N2 - Mental disorders represent an increasing personal and financial burden and yet treatment development has stagnated in recent decades. Current disease classifications do not reflect psychobiological mechanisms of psychopathology, nor the complex interplay of genetic and environmental factors, likely contributing to this stagnation. Ten years ago, the longitudinal IMAGEN study was designed to comprehensively incorporate neuroimaging, genetics, and environmental factors to investigate the neural basis of reinforcement-related behavior in normal adolescent development and psychopathology. In this article, we describe how insights into the psychobiological mechanisms of clinically relevant symptoms obtained by innovative integrative methodologies applied in IMAGEN have informed our current and future research aims. These aims include the identification of symptom groups that are based on shared psychobiological mechanisms and the development of markers that predict disease course and treatment response in clinical groups. These improvements in precision medicine will be achieved, in part, by employing novel methodological tools that refine the biological systems we target. We will also implement our approach in low- and medium-income countries to understand how distinct environmental, socioeconomic, and cultural conditions influence the development of psychopathology. Together, IMAGEN and related initiatives strive to reduce the burden of mental disorders by developing precision medicine approaches globally.

AB - Mental disorders represent an increasing personal and financial burden and yet treatment development has stagnated in recent decades. Current disease classifications do not reflect psychobiological mechanisms of psychopathology, nor the complex interplay of genetic and environmental factors, likely contributing to this stagnation. Ten years ago, the longitudinal IMAGEN study was designed to comprehensively incorporate neuroimaging, genetics, and environmental factors to investigate the neural basis of reinforcement-related behavior in normal adolescent development and psychopathology. In this article, we describe how insights into the psychobiological mechanisms of clinically relevant symptoms obtained by innovative integrative methodologies applied in IMAGEN have informed our current and future research aims. These aims include the identification of symptom groups that are based on shared psychobiological mechanisms and the development of markers that predict disease course and treatment response in clinical groups. These improvements in precision medicine will be achieved, in part, by employing novel methodological tools that refine the biological systems we target. We will also implement our approach in low- and medium-income countries to understand how distinct environmental, socioeconomic, and cultural conditions influence the development of psychopathology. Together, IMAGEN and related initiatives strive to reduce the burden of mental disorders by developing precision medicine approaches globally.

U2 - 10.1038/s41380-019-0555-5

DO - 10.1038/s41380-019-0555-5

M3 - SCORING: Journal article

C2 - 31676814

VL - 25

SP - 243

EP - 253

JO - MOL PSYCHIATR

JF - MOL PSYCHIATR

SN - 1359-4184

IS - 2

ER -