Machine learning and big data in psychiatry: toward clinical applications

Here, we review recent advances in the use of big data and machine-learning approaches toward the aim of alleviating the suffering that arises from psychiatric disorders.

Repetitive transcranial magnetic stimulation for depression

Adam Mourad Chekroud, Ioana Alina Cristea

A Mendelian Randomization Approach for Assessing the Relationship Between Physical Activity and Depression

Adam Mourad Chekroud

Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk

Yanqing Tang, Qian Zhou, Miao Chang, Adam Chekroud, Ralitza Gueorguieva, Xiaowei Jiang, Yifang Zhou, George He, Margaret Rowland, Dahai Wang, Shinan Fu, Zhiyang Yin, Haixia Leng, Shengnan Wei, Ke Xu, Fei Wang, John H Krystal, Naomi R Driesen

Reading the (functional) writing on the (structural) wall: multimodal fusion of brain structural and function via a deep neural network based translation approach reveals novel …

Md Faijul Amin, Sergey M Plis, Adam Chekroud, Devon Hjelm, Eswar Damaraju, Hyo Jong Lee, Juan R Bustillo, KyungHyun Cho, Godfrey D Pearlson, Vince D Calhoun

Ensuring treatment initiation

Adam Chekroud, Abhishek Chandra

Efficacy of Resistance Exercise Training With Depressive Symptoms

Sammi R Chekroud, Adam M Chekroud

Anticipating Suicide Will Be Hard, But This Is Progress

Adam M Chekroud

Prospection, perseverance, and insight in sequential behavior

Nils Kolling, Jacqueline Scholl, Adam Chekroud, Hailey A Trier, Matthew FS Rushworth

Association between physical exercise and mental health in 1· 2 million individuals in the USA between 2011 and 2015: a cross-sectional study

Sammi R Chekroud, Ralitza Gueorguieva, Amanda B Zheutlin, Martin Paulus, Harlan M Krumholz, John H Krystal, Adam M Chekroud

Predicting barriers to treatment for depression in a US national sample: a cross-sectional, proof-of-concept study

Adam M Chekroud, David Foster, Amanda B Zheutlin, Danielle M Gerhard, Brita Roy, Nikolaos Koutsouleris, Abhishek Chandra, Michelle Degli Esposti, Girish Subramanyan, Ralitza Gueorguieva, Martin Paulus, John H Krystal

PTSD and the War of Words

Adam M Chekroud, Hieronimus Loho, Martin Paulus, John H Krystal

T107. why validation matters: a demonstration predicting antipsychotic response using 5 rcts

Adam Chekroud

Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia

Amanda B Zheutlin, Adam M Chekroud, Renato Polimanti, Joel Gelernter, Fred W Sabb, Robert M Bilder, Nelson Freimer, Edythe D London, Christina M Hultman, Tyrone D Cannon

The perilous path from publication to practice

AM Chekroud, N Koutsouleris

Bigger Data, Harder Questions—Opportunities Throughout Mental Health Care

Adam M Chekroud

Can an Algorithm Select First-and Second-Line Antidepressant Treatments in Primary Care?

Adam Chekroud

Computational Psychiatry: Embracing Uncertainty and Focusing on Individuals, Not Averages

Adam M Chekroud, Chadrick E Lane, David A Ross

Computational Psychiatry and the Challenge of Schizophrenia

John H Krystal, John D Murray, Adam M Chekroud, Philip R Corlett, Genevieve Yang, Xiao-Jing Wang, Alan Anticevic

Mental illness and mental health

Adam M Chekroud, Hieronimus Loho, John H Krystal

Trajectories of relapse in randomised, placebo-controlled trials of treatment discontinuation in major depressive disorder: an individual patient-level data meta-analysis

Ralitza Gueorguieva, Adam M Chekroud, John H Krystal

SU96. The Role of MicroRNA Expression in Cortical Development During Conversion to Psychosis

Amanda Zheutlin, Clark Jeffries, Diana Perkins, Yoonho Chung, Adam Chekroud, Jean Addington, Carrie Bearden, Kristen Cadenhead, Barbara Cornblatt, Daniel Mathalon, Tom McGlashan, Larry J Seidman, Elaine Walker, Scott Woods, Ming Tsuang, Tyrone Cannon

Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach

Adam M Chekroud, Ralitza Gueorguieva, Harlan M Krumholz, Madhukar H Trivedi, John H Krystal, Gregory McCarthy

The Role of microRNA Expression in Cortical Development During Conversion to Psychosis

Amanda B Zheutlin, Clark D Jeffries, Diana O Perkins, Yoonho Chung, Adam M Chekroud, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Barbara A Cornblatt, Daniel H Mathalon, Thomas H McGlashan, Larry J Seidman, Elaine F Walker, Scott W Woods, Ming Tsuang, Tyrone D Cannon

Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome

Adam M Chekroud, Geetha Anand, Jean Yong, Michael Pike, Holly Bridge

Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach

Nikolaos Koutsouleris, René S Kahn, Adam M Chekroud, Stefan Leucht, Peter Falkai, Thomas Wobrock, Eske M Derks, Wolfgang W Fleischhacker, Alkomiet Hasan

Multivariate Pattern Analysis of Schizophrenia-Associated Genetic Variants in Relation to Cognitive Endophenotypes

Amanda B Zheutlin, Adam M Chekroud, Fred W Saab, Robert M Bilder, Nelson Freimer, Edythe London, Christina M Hultman, Tyrone D Cannon

Patterns in the human brain mosaic discriminate males from females

Adam M Chekroud, Emily J Ward, Monica D Rosenberg, Avram J Holmes

Cross-trial prediction of treatment outcome in depression: a machine learning approach

Adam Mourad Chekroud, Ryan Joseph Zotti, Zarrar Shehzad, Ralitza Gueorguieva, Marcia K Johnson, Madhukar H Trivedi, Tyrone D Cannon, John Harrison Krystal, Philip Robert Corlett

Personalised pharmacotherapy: an interim solution for antidepressant treatment?

Adam M Chekroud, John H Krystal

Cerebellar and cortical abnormalities in paediatric opsoclonus‐myoclonus syndrome

Geetha Anand, Holly Bridge, Peter Rackstraw, Adam M Chekroud, Jean Yong, Charlotte J Stagg, Michael Pike

Unifying treatments for Depression: An application of the Free Energy Principle

Adam Mourad Chekroud

A review of neuroimaging studies of race-related prejudice: does amygdala response reflect threat?

Adam Mourad Chekroud, Jim AC Everett, Holly Bridge, Miles Hewstone