A Framework for Advancing Precision Medicine in Clinical Trials for Mental Disorders

TY - JOUR

T1 - A Framework for Advancing Precision Medicine in Clinical Trials for Mental Disorders

AU - Lenze, Eric J.

AU - Rodebaugh, Thomas L.

AU - Nicol, Ginger E.

N1 - Funding Information: Published Online: March 25, 2020. doi:10.1001/jamapsychiatry.2020.0114 Correction: This article was corrected on May 13, 2020, to fix an error in the figure legend. Conflict of Interest Disclosures: Dr Lenze reported personal fees from Janssen and Jazz Pharmaceuticals as well as grants from McKnight Brain Research Foundation, the National Institutes of Health (NIH), Patient-Centered Outcomes Research Institute, Takeda/Lundbeck, and Aptinyx outside the submitted work. Dr Rodebaugh reported grants from the NIH (National Institute on Deafness and Other Communication) and Brain Behavior Research Foundation outside the submitted work. Dr Nicol reported grants and personal fees from Alkermes and personal fees from Sunovion and Supernus outside the submitted work. Funding/Support: The research reported in this article was supported by the Washington University Institute of Clinical and Translational Sciences grant UL1TR002345 from the National Center for Advancing Translational Sciences of the NIH. Additional funding is from the Taylor Family Institute for Innovative Psychiatric Research and Center for Brain Research in Mood Disorders (Washington University, St Louis). Role of the Funder/Sponsor: The funding sources had no role in the preparation, review, or approval of the manuscript. Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official view of the NIH. REFERENCES 1. Reynolds CF III, Dew MA, Pollock BG, et al. Maintenance treatment of major depression in old age. N Engl J Med. 2006;354(11):1130-1138. doi: 10.1056/NEJMoa052619 2. Tremblay S, Rogasch NC, Premoli I, et al. Clinical utility and prospective of TMS-EEG. Clin Neurophysiol. 2019;130(5):802-844. doi:10.1016/j.clinph. 2019.01.001 3. Dichter GS, Gibbs D, Smoski MJ. A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. J Affect Disord. 2015;172:8-17. doi:10.1016/j.jad.2014.09.028 4. Jacobson NC, Weingarden H, Wilhelm S. Using digital phenotyping to accurately detect depression severity. J Nerv Ment Dis. 2019;207(10):893-896. doi:10.1097/NMD.0000000000001042 5. Graham AK, Lattie EG, Mohr DC. Experimental therapeutics for digital mental health. JAMA Psychiatry. 2019. doi:10.1001/jamapsychiatry.2019.2075 6. Barbour DL, DiLorenzo JC, Sukesan KA, et al. Conjoint psychometric field estimation for bilateral audiometry. Behav Res Methods. 2019;51(3):1271-1285. doi:10.3758/s13428-018-1062-3 7. Mofsen AM, Rodebaugh TL, Nicol GE, Depp CA, Miller JP, Lenze EJ. When all else fails, listen to the patient: a viewpoint on the use of ecological momentary assessment in clinical trials. JMIR Ment Health. 2019;6(5):e11845. doi:10.2196/11845 8. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol. 2008;4:1-32. doi:10.1146/annurev.clinpsy.3.022806. 091415 9. Fisher AJ. Toward a dynamic model of psychological assessment: implications for personalized care. J Consult Clin Psychol. 2015;83(4):825-836. doi:10.1037/ccp0000026 10. Wolfers T, Doan NT, Kaufmann T, et al. Mapping the heterogeneous phenotype of schizophrenia and bipolar disorder using normative models. JAMA Psychiatry. 2018;75(11):1146-1155. doi:10.1001/ jamapsychiatry.2018.2467

PY - 2020/7

Y1 - 2020/7

UR - http://www.scopus.com/inward/record.url?scp=85082520694&partnerID=8YFLogxK

U2 - 10.1001/jamapsychiatry.2020.0114

DO - 10.1001/jamapsychiatry.2020.0114

M3 - Comment/debate

C2 - 32211837

AN - SCOPUS:85082520694

SN - 2168-622X

VL - 77

SP - 663

EP - 664

JO - JAMA psychiatry

JF - JAMA psychiatry

IS - 7

ER -