Volume Fourteen – Big data in Psychiatry: Multiomics, Neuroimaging, Computational Modeling, and Digital Phenotyping

Big data in psychiatry: multiomics, neuroimaging, computational modeling, and digital phenotyping

Kerry J. Ressler & Leanne M. Williams

Advances in the computational understanding of mental illness

Quentin J. M. Huys, Michael Browning, Martin P. Paulus & Michael J. Frank

Modeling brain, symptom, and behavior in the winds of change

David M. Lydon-Staley, Eli J. Cornblath, Ann Sizemore Blevins & Danielle S. Bassett

Big behavior: challenges and opportunities in a new era of deep behavior profiling

Lukas von Ziegler, Oliver Sturman & Johannes Bohacek

Opportunities and challenges in the collection and analysis of digital phenotyping data

Jukka-Pekka Onnela

Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders

Veronica B. Searles Quick, Belinda Wang & Matthew W. State

PsychENCODE and beyond: transcriptomics and epigenomics of brain development and organoids

Alexandre Jourdon, Soraya Scuderi, Davide Capauto, Alexej Abyzov & Flora M. Vaccarino

Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration

Timothy Reynolds, Emma C. Johnson, Spencer B. Huggett, Jason A. Bubier, Rohan H. C. Palmer, Arpana Agrawal, Erich J. Baker & Elissa J. Chesler

Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau

Sruti Rayaprolu, Lenora Higginbotham, Pritha Bagchi, Caroline M. Watson, Tian Zhang, Allan I. Levey, Srikant Rangaraju & Nicholas T. Seyfried

Signature-based approaches for informed drug repurposing: targeting CNS disorders

Rammohan Shukla, Nicholas D. Henkel, Khaled Alganem, Abdul-rizaq Hamoud, James Reigle, Rawan S. Alnafisah, Hunter M. Eby, Ali S. Imami, Justin F Creeden, Scott A. Miruzzi, Jaroslaw Meller & Robert E. Mccullumsmith

The ABCD study: understanding the development of risk for mental and physical health outcomes

Nicole R. Karcher & Deanna M. Barch

Biotyping in psychosis: using multiple computational approaches with one data set

Carol A. Tamminga, Brett A. Clementz, Godfrey Pearlson, Macheri Keshavan, Elliot S. Gershon, Elena I. Ivleva, Jennifer McDowell, Shashwath A. Meda, Sarah Keedy, Vince D. Calhoun, Paulo Lizano, Jeffrey R. Bishop, Matthew Hudgens-Haney, Ney Alliey-Rodriguez, Huma Asif & Robert Gibbons

Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics

Amanda M. Buch & Conor Liston

Deep learning for small and big data in psychiatry

Georgia Koppe, Andreas Meyer-Lindenberg & Daniel Durstewitz

Digital health data-driven approaches to understand human behavior

Lisa A. Marsch

Real-time mobile monitoring of bipolar disorder: a review of evidence and future directions

Gideon P. Dunster, Joel Swendsen & Kathleen Ries Merikangas

Toward dynamic phenotypes and the scalable measurement of human behavior

Laura Germine, Roger W. Strong, Shifali Singh & Martin J. Sliwinski

Covid-19 and promising solutions to combat symptoms of stress, anxiety and depression

Deniz Vatansever, Shouyan Wang & Barbara J. Sahakian

Imaging suicidal thoughts and behavior: the promise of computational models

Anne-Laura van Harmelen, Lianne Schmaal & Hilary P. Blumberg

Critical roles for developmental hormones and genetic sex in stress-induced transcriptional changes associated with depression

Marianne L. Seney & Ryan W. Logan

EEG microstate sequences suggest abnormally chaotic brain dynamics in psychosis

Michael Murphy & Dost Öngür

DNA methylation clock associated with age-related illnesses is accelerated in PTSD

Ruoting Yang & Gwyneth W. Y. Wu

Astrocyte adenosine signaling and neural mechanisms of goal-directed and habitual reward-seeking behaviors

Seungwoo Kang & Doo-Sup Choi

A prefrontal social circuit vulnerable to juvenile social isolation

Hirofumi Morishita

Biologically plausible models of neural dynamics for rapid-acting antidepressant interventions

Jessica R. Gilbert & Carlos A. Zarate Jr.

The critical importance in identifying the biological mechanisms underlying the effects of racism on mental health

Tracy L. Bale & Tanja Jovanovic

Chromatin architecture provides a roadmap to improve our understanding of psychiatric disorders

Benxia Hu & Hyejung Won

Targeting persistent stress-enhanced memory through microRNAs

Stephanie E. Sillivan & Courtney A. Miller

Dimensional approaches to understanding threat conditioning and extinction in anxiety

Marie-France Marin & Mohammed R. Milad

“Next up for psychiatry: rejection sensitivity and the social brain”

David T. Hsu & Johanna M. Jarcho

Genetic and epigenetic modulation of the oxytocin receptor and implications for autism

Elissar Andari & James K. Rilling

Computational phenotyping and longitudinal dynamics to inform clinical decision-making in psychiatry

Michele Ferrante & Joshua A. Gordon

Reinforcing actions through the thalamostriatal circuit

Kari A. Johnson & David M. Lovinger

Self-administered fentanyl profoundly impacts rat brain innate immune targets

Irma E. Cisneros & Kathryn A. Cunningham

Catecholamine signaling that modulates cerebellar operations in cognition

Hirofumi Fujita & Erik S. Carlson

Machine-learning approaches to classify and understand emotion states in mice

Nejc Dolensek & Nadine Gogolla

Applied natural language processing in mental health big data

Robert Stewart & Sumithra Velupillai

Linking cell types to behavior in the vertebrate hypothalamus

Matthew Lovett-Barron

GWAS meets transcriptomics: from genetic letters to transcriptomic words of neuropsychiatric risk

Chris Chatzinakos, Foivos Georgiadis & Nikolaos P. Daskalakis

Plasma psilocin critically determines behavioral and neurobiological effects of psilocybin

Martin K. Madsen & Gitte M. Knudsen

Serotonin minting new mitochondria in cortical neurons: implications for psychopathology

Sashaina E. Fanibunda & Vidita A. Vaidya

Better living through chemistry: MDMA’s prosocial mechanism as a starting point for improved therapeutics

Boris D. Heifets & Robert C. Malenka

NIDA vision for big data science to understand the biological underpinnings of substance use disorders

Susan N. Wright & A. Roger Little

Using the exposome to understand environmental contributors to psychiatric disorders

James P. Burkett & Gary W. Miller

Opioids and maternal brain–behavior adaptation

James E. Swain & S. Shaun Ho

Habenular TCF7L2 links nicotine addiction to diabetes: the broad significance

Stephanie P. B. Caligiuri & Paul J. Kenny