Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?

Journal: Biological psychiatry

Publication date: 2019

Journal: Biological psychiatry

Publication Year: 2019

Authors & Co-authors:  van Erp Theo G M TGM Walton Esther E Hibar Derrek P DP Schmaal Lianne L Jiang Wenhao W Glahn David C DC Pearlson Godfrey D GD Yao Nailin N Fukunaga Masaki M Hashimoto Ryota R

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis.

Journal: International journal of methods in psychiatric research

Publication date: 2021

Journal: International journal of methods in psychiatric research

Publication Year: 2021

Authors & Co-authors:  Lyubenova Anita A Neupane Dipika D Levis Brooke B Wu Yin Y Sun Ying Y He Chen C Krishnan Ankur A Bhandari Parash M PM Negeri Zelalem Z Imran Mahrukh M

Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis.

Journal: International journal of methods in psychiatric research

Publication date: 2020

Journal: International journal of methods in psychiatric research

Publication Year: 2020

Authors & Co-authors:  Levis Brooke B McMillan Dean D Sun Ying Y He Chen C Rice Danielle B DB Krishnan Ankur A Wu Yin Y Azar Marleine M Sanchez Tatiana A TA Chiovitti Matthew J MJ

Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium.

Journal: Biological psychiatry

Publication date: 2019

Journal: Biological psychiatry

Publication Year: 2019

Authors & Co-authors:  van Erp Walton Hibar Schmaal Jiang Glahn Pearlson Yao Fukunaga Hashimoto