Psychiatry and Psychology Commons^™

Mapping Dna Methylation Signatures To Identify Epigenetic Variation Across Subcortical Regions Of The Human Posttraumatic Stress Disorder Brain, Hongyu Li, Yujing Liu, Yiming Shi, Jiawei Wang, Tuan P Nguyen, Yuhan Xie, Wangjie Zheng, Youshu Cheng, Dianne A Cruz, Jennifer L Modliszewski, Rosemarie Terwilliger, Alexa-Nicole Sliby, José Jaime Martínez-Magaña, Janitza L Montalvo-Ortiz, John D Roache, Lynnette A Averill, Stacey Young-Mccaughan, Paulo R Shiroma, Bertrand R Huber, David A Lewis, Jill Glausier, Paul Holtzheimer, Matthew J Friedman, Jing Zhang, Alan L Peterson, Chadi G Abdallah, Amir Valizadeh, Xinyu Zhang, Ke Xu, John H Krystal, Ronald S Duman, Hongyu Zhao, David L Corcoran, Douglas E Williamson, Matthew J Girgenti

Staff and Researcher Publications

Background: Posttraumatic stress disorder (PTSD) is a mental disorder that may occur in the aftermath of severe psychological trauma. Epigenetic changes in the brain may play a critical role in understanding the neurobiology of PTSD by linking environmental traumatic stress exposure to lasting alterations in gene expression that shape neuronal function.

Methods: We examined 1,065,750 DNA methylation (DNAm) sites from 171 donors including neurotypical controls and PTSD and major depressive disorder (MDD) cases across 6 regions implicated in the fear circuitry of the brain. We performed RNA sequencing (RNA-seq) to examine changes in gene expression and linked these changes to …

Whole-Genome Sequence-Based Association Analysis Of African American Individuals With Bipolar Disorder And Schizophrenia, Runjia Li, Sarah A Gagliano Taliun, Kevin Liao, Matthew Flickinger, Janet L Sobell, Giulio Genovese, Adam E Locke, Rebeca Rothwell Chiu, Jonathon Lefaive, Jiongming Wang, Taylor Martins, Sinéad Chapman, Anna Neumann, Robert E Handsaker, Donna K Arnett, Kathleen C Barnes, Eric Boerwinkle, David Braff, Brian E Cade, Myriam Fornage, Richard A Gibbs, Karin F Hoth, Lifang Hou, Charles Kooperberg, Ruth J F Loos, Ginger A Metcalf, Courtney G Montgomery, Alanna C Morrison, Zhaohui S Qin, Susan Redline, Alexander P Reiner, Stephen S Rich, Jerome I Rotter, Kent D Taylor, Karine A Viaud-Martinez, Tim B Bigdeli, Stacey Gabriel, Sebastian Zollner, Albert V Smith, Goncalo Abecasis, Steve A Mccarroll, Michele T Pato, Carlos N Pato, Michael Boehnke, James Knowles, Hyun Min Kang, Roel A Ophoff, Jason Ernst, Laura J Scott

Faculty, Staff and Student Publications

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole-genome sequencing (∼27X) of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study). We increased power by incorporating 14,812 jointly called psychiatrically unscreened ancestry-matched controls from the Trans-Omics for Precision Medicine (TOPMed) Program for a total of …

Data-Driven Approach To Dynamic Resting State Functional Connectivity In Post-Traumatic Stress Disorder: An Enigma-Pgc Ptsd Study, Carissa W Tomas, Jacklynn M Fitzgerald, C Lexi Baird, Courtney C Haswell, Chadi G Abdallah, Michael Angstadt, Justin T Baker, Hannah Berg, Jennifer U Blackford, Josh Cisler, Andrew S Cotton, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Terri A Deroon-Cassini, Seth G Disner, Wissam El Hage, Negar Fani, Jessie L Frijling, Evan M Gordon, Daniel W Grupe, Xiaofu He, Ryan Herringa, David Hofmann, Ashley A Huggins, Ahmed Hussain, Jonathan Ipser, Neda Jahanshad, Tanja Jovanovic, Milissa L Kaufman, Yoojean Kim, Anthony King, Saskia B J Koch, Sheri Koopowitz, Amit Lazarov, Lauren A M Lebois, Isreal Liberzon, Shmuel Lissek, Antje Manthey, Geoffrey May, Katie A Mclaughlin, Laura Nawijn, Steven M Nelson, Yuval Neria, Jack B Nitschke, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, Yann Quidé, Orren Ravid, Kerry Ressler, Marisa Ross, Lauren E Salminen, Kelly Sambrook, Chiahao Shih, Anika Sierk, Scott R Sponheim, Dan J Stein, Jennifer Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Paul M Thompson, Nic J A Van Der Wee, Steven J A Van Der Werff, Sanne J H Van Rooij, Mirjam Van Zuiden, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Xin Wang, Hong Xie, Xi Zhu, Sigal Zilcha-Mano, Christine L Larson, Rajendra Morey

Faculty, Staff and Students Publications

Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven …

Βiv Spectrin Abundancy, Cellular Distribution And Sensitivity To Akt/Gsk3 Regulation In Schizophrenia, Jessica Di Re, Michela Marini, Syed Ibrar Hussain, Aditya K Singh, Akshaya Venkatesh, Musaad A Alshammari, Tahani K Alshammari, Abdul-Rizaq Ali Hamoud, Ali Sajid Imami, Zahra Haghighijoo, Nickolas Fularcyzk, Laura Stertz, Derek Hawes, Angela Mosebarger, Jordan Jernigan, Claire Chaljub, Ralda Nehme, Consuelo Walss-Bass, Anton Schulmann, Marquis P Vawter, Robert Mccullumsmith, Robert D Damoiseaux, Agenor Limon, Demetrio Labate, Michael F Wells, Fernanda Laezza

Faculty, Staff and Student Publications

Schizophrenia (SCZ) is a complex psychiatric disorder with unclear biological mechanisms. Spectrins, cytoskeletal proteins linked to neurodevelopmental disorders, are regulated by the AKT/GSK3 pathway, which is implicated in SCZ. However, the impact of SCZ-related dysregulation of this pathway on spectrin expression and distribution remains unexplored. Here, we show that βIV spectrin protein levels were reduced in neurons of the dorsolateral prefrontal cortex in SCZ postmortem samples compared to healthy control (HC) from the Human Brain Collection Core (HBCC). To investigate potential links between βIV spectrin and the AKT/GSK3 pathway, we analyzed the PsychEncode dataset, revealing elevated SPTBN4 and AKT2 mRNA …

Functional Brain Connectivity Of The Salience Network In Alcohol Use And Anxiety Disorders, Dhruv M Patel, Guillermo F Poblete, Alexandra Castellanos, Ramiro Salas

Staff and Researcher Publications

The interplay between alcohol use disorder (AUD) and anxiety disorders (ANX) is well-documented, yet the underlying neurobiological mechanisms remain elusive. This study aims to elucidate these mechanisms by examining the resting-state functional connectivity (RSFC) within the salience network and to the amygdala, both implicated in alcohol and anxiety disorders. We analyzed data from 264 inpatient participants culled from a wider group of 518 inpatients at The Menninger Clinic in Houston, TX, categorized into four groups (n = 66 each) based on DSM-IV diagnoses: AUD without ANX (AUD), ANX without AUD (ANX), concurrent AUD and ANX (BOTH), and neither (NEITHER). Our …

Lifespan Reference Curves For Harmonizing Multi-Site Regional Brain White Matter Metrics From Diffusion Mri, Alyssa H Zhu, Talia M Nir, Shayan Javid, Julio E Villalón-Reina, Amanda L Rodrigue, Lachlan T Strike, Greig I De Zubicaray, Katie L Mcmahon, Margaret J Wright, Sarah E Medland, John Blangero, David C Glahn, Peter Kochunov, Douglas E Williamson, Asta K Håberg, Paul M Thompson, Neda Jahanshad

Faculty, Staff and Student Publications

Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (dMRI)-derived data from ten public datasets (N = 40,898 subjects; age: 3-95 years; 47.6% male). We tested three harmonization methods on regional diffusion tensor imaging (DTI) based fractional anisotropy (FA), a metric of WM microstructure, extracted using the ENIGMA-DTI pipeline. ComBat-GAM harmonization provided multi-study trajectories most consistent with known WM maturation peaks. Lifespan FA reference curves were validated with test-retest data …

Neuroimaging-Based Variability In Subtyping Biomarkers For Psychiatric Heterogeneity, Zhenfu Wen, Mira Z Hammoud, Carole E Siegel, Eugene M Laska, Duna Abu-Amara, Amit Etkin, Mohammed R Milad, Charles R Marmar

Faculty, Staff and Student Publications

Neuroimaging-based subtyping is increasingly used to explain heterogeneity in psychiatric disorders. However, the clinical utility of these subtyping efforts remains unclear, and replication has been challenging. Here we examined how the choice of neuroimaging measures influences the derivation of neuro-subtypes and the consequences for clinical delineation. On a clinically heterogeneous dataset (total n = 566) that included controls (n = 268) and cases (n = 298) of psychiatric conditions, including individuals diagnosed with post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), and comorbidity of both (PTSD&TBI), we identified neuro-subtypes among the cases using either structural, resting-state, or task-based measures. The …

Maternal Dysbiosis Produces Long-Lasting Behavioral Changes In Offspring, Jacob Hudobenko, Claudia M Di Gesù, Patrick R Mooz, Joseph Petrosino, Nagireddy Putluri, Bhanu P Ganesh, Kristen Rebeles, Frank W Blixt, Venugopal R Venna, Louise D Mccullough

Faculty, Staff and Student Publications

Advanced maternal age (AMA) is defined as a pregnancy in a woman older than 35 years of age. AMA increases the risk for both maternal and neonatal complications, including miscarriage and stillbirth. AMA has also been linked to neurodevelopmental and neuropsychiatric disorders in the offspring. Recent studies have found that age-associated compositional shifts in the gut microbiota contribute to altered microbial metabolism and enhanced inflammation in the host. We investigated the specific contribution of the maternal microbiome on pregnancy outcomes and offspring behavior by recolonizing young female mice with aged female microbiome prior to pregnancy. We discovered that pre-pregnancy colonization …

Connectome-Based Predictive Modeling Of Ptsd Development Among Recent Trauma Survivors, Ziv Ben-Zion, Alexander J Simon, Matthew Rosenblatt, Nachshon Korem, Or Duek, Israel Liberzon, Arieh Y Shalev, Talma Hendler, Ifat Levy, Ilan Harpaz-Rotem, Dustin Scheinost

Staff and Researcher Publications

Importance: The weak link between subjective symptom-based diagnostics for posttraumatic psychopathology and objective neurobiological indices hinders the development of effective personalized treatments.

Objective: To identify early neural networks associated with posttraumatic stress disorder (PTSD) development among recent trauma survivors.

Design, setting, and participants: This prognostic study used data from the Neurobehavioral Moderators of Posttraumatic Disease Trajectories (NMPTDT) large-scale longitudinal neuroimaging dataset of recent trauma survivors. The NMPTDT study was conducted from January 20, 2015, to March 11, 2020, and included adult civilians who were admitted to a general hospital emergency department in Israel and screened for early PTSD symptoms indicative …

Breaking Down The Choice: Exploring The Journey Of Decisions, Alex Kim

CAFE Symposium 2025

This project explores the decision-making process by examining how various regions of the brain contribute to choices and their outcomes. By analyzing the interplay between cognitive and emotional factors, it aims to provide insights into how individuals can make decisions that align with their goals and values, reducing regret and enhancing overall happiness. The findings offer practical strategies for improving personal and professional decision-making.

Hiv Protein Tat Dysregulates Multiple Pathways In Human Ipscs- Derived Microglia, Liam Liyang Guo, Robert Jiang, Yan Cheng, Brooke Russell, Yan Y. Sanders, Ming-Lei Guo

Department of Biomedical and Translational Sciences Faculty Publications

In the era of combined antiretroviral therapy, around 50% of chronic HIV (+) individuals show varying degrees of memory and cognitive deficiency (NeuroHIV), a phenomenon of accelerated brain aging. HIV protein transactivator of transcription (TAT) has been well-accepted as a risk factor contributing to NeuroHIV through dysregulating microglia (Mg) functions. Previous studies have demonstrated that HIV-TAT can affect lipid metabolism, immune responses, autophagy, and senescence in rodent Mg. However, due to the significant species differences between rodent and human Mg (hMg), it is essential to take caution when interpreting the results obtained from rodent models into human conditions. For the …

Vagally Mediated Heart Rate Variability Modulates The Association Between The Perceived Workload And The Stroop Effect On Behavioral Performance, Xiao Yang, Michael Gazzanigo, Fang Fang, Spencer House

Psychology Faculty Publications

Vagally mediated heart rate variability (vmHRV) reflects top-down cognitive processes involved in emotion-cognition integration. Using cognitive control can be effortful and increase negative affect. However, this intrinsic affective component of cognitive control has not been well studied, and the role of vmHRV in the association between subjective experience in using cognitive control and behavioral performance remains unknown. The current study aimed to examine the relationship of vmHRV with cognitive control and perceived workload in a cognitive task. Eighty-one participants performed the Stroop interference task. Participants rated subjective workload using the NASA Task Load Index (NASA-TLX) scale for congruent and incongruent …

The Pointer Imaging Baseline Cohort: Associations Between Multimodal Neuroimaging Biomarkers, Cardiovascular Health, And Cognition, Theresa M Harrison, Tyler Ward, Jacinda Taggett, Pauline Maillard, Samuel N Lockhart, Youngkyoo Jung, Laura C Lovato, Robert Koeppe, William J Jagust, Danielle Harvey, Joseph C Masdeu, Hwamee Oh, Darren R Gitelman, Neelum T Aggarwal, Mark A Espeland, Maryjo L Cleveland, Rachel Whitmer, Sarah Tomaszewski Farias, Stephen Salloway, Valory Pavlik, Melissa Yu, Christine Tangney, Heather Snyder, Maria Carrillo, Laura D Baker, Prashanthi Vemuri, Charles Decarli, Susan M Landau

Staff and Researcher Publications

Introduction: The U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is evaluating lifestyle interventions in older adults at risk for cognitive decline and dementia. Here we characterize the baseline data set of the POINTER Imaging ancillary study.

Methods: Participants underwent health and cognitive assessments and neuroimaging with multimodal positron emission tomography (PET) (beta-amyloid [Aβ] and tau) and magnetic resonance imaging (MRI). Framingham risk score (FRS) was used to quantify cardiovascular disease (CVD) risk.

Results: A total of 1052 participants (31% from underrepresented ethnoracial groups) were enrolled. Compared to Aβ-, Aβ+ (29%) participants were older, …

A Review Of The Association Between Dietary Intake And Brain Iron Levels In Older Adults: Preliminary Findings And Future Directions., Valentinos Zachariou, Christopher E. Bauer, Colleen A. Pappas, Brian T. Gold

Behavioral Science Faculty Publications

Background/Objectives: Non-heme iron is essential for critical neuronal functions such as ATP generation, synaptogenesis, neurotransmitter synthesis, and myelin formation. However, as non-heme iron accumulates with age, excessive levels can contribute to oxidative stress, potentially disrupting neuronal integrity and contributing to cognitive decline. Despite growing evidence linking high brain iron with poorer cognitive performance, there are currently no proven methods to reduce brain iron accumulation in aging or to protect cognitive function from iron’s negative effects. Recent studies suggest that nutrition may influence brain iron levels, though the evidence remains limited and mixed. Methods: In this review, we explore recent findings, …

Challenges And Rewards Of In Vivo Synaptic Density Imaging, And Its Application To The Study Of Depression, Ruth H Asch, Chadi G Abdallah, Richard E Carson, Irina Esterlis

Faculty, Staff and Students Publications

The development of novel radiotracers for Positron Emission Tomography (PET) imaging agents targeting the synaptic vesicle glycoprotein 2 A (SV2A), an integral glycoprotein present in the membrane of all synaptic vesicles throughout the central nervous system, provides a method for the in vivo quantification of synaptic density. This is of particular interest in neuropsychiatric disorders given that synaptic alterations appear to underlie disease progression and symptom severity. In this review, we briefly describe the development of these SV2A tracers and the evaluation of quantification methods. Next, we discuss application of SV2A PET imaging to the study of depression, including a …

4d Dynamic Spatial Brain Networks At Rest Linked To Cognition Show Atypical Variability And Coupling In Schizophrenia, Krishna Pusuluri, Zening Fu, Robyn Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun

Faculty, Staff and Student Publications

Despite increasing interest in the dynamics of functional brain networks, most studies focus on the changing relationships over time between spatially static networks or regions. Here we propose an approach to study dynamic spatial brain networks in human resting state functional magnetic resonance imaging (rsfMRI) data and evaluate the temporal changes in the volumes of these 4D networks. Our results show significant volumetric coupling (i.e., synchronized shrinkage and growth) between networks during the scan, that we refer to as dynamic spatial network connectivity (dSNC). We find that several features of such dynamic spatial brain networks are associated with cognition, with …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Faculty, Staff and Student Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Gene Expression Networks Regulated By Human Personality, Coral Del Val, Elisa Díaz De La Guardia-Bolívar, Igor Zwir, Pashupati P Mishra, Alberto Mesa, Ramiro Salas, Guillermo F Poblete, Gabriel De Erausquin, Emma Raitoharju, Mika Kähönen, Olli Raitakari, Liisa Keltikangas-Järvinen, Terho Lehtimäki, Claude Robert Cloninger

Faculty, Staff and Students Publications

Genome-wide association studies of human personality have been carried out, but transcription of the whole genome has not been studied in relation to personality in humans. We collected genome-wide expression profiles of adults to characterize the regulation of expression and function in genes related to human personality. We devised an innovative multi-omic approach to network analysis to identify the key control elements and interactions in multi-modular networks. We identified sets of transcribed genes that were co-expressed in specific brain regions with genes known to be associated with personality. Then we identified the minimum networks for the co-localized genes using bioinformatic …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Opportunities And Challenges For The Use Of Deep Brain Stimulation In The Treatment Of Refractory Major Depression, Prashin Unadkat, Joao Quevedo, Jair Soares, Albert Fenoy

Faculty, Staff and Student Publications

Major Depressive Disorder continues to remain one of the most prevalent psychiatric diseases globally. Despite multiple trials of conventional therapies, a subset of patients fail to have adequate benefit to treatment. Deep brain stimulation (DBS) is a promising treatment in this difficult to treat population and has shown strong antidepressant effects across multiple cohorts. Nearly two decades of work have provided insights into the potential for chronic focal stimulation in precise brain targets to modulate pathological brain circuits that are implicated in the pathogenesis of depression. In this paper we review the rationale that prompted the selection of various brain …

Distributed Neural Representations Of Conditioned Threat In The Human Brain, Zhenfu Wen, Edward F Pace-Schott, Sara W Lazar, Jörgen Rosén, Fredrik Åhs, Elizabeth A Phelps, Joseph E Ledoux, Mohammed R Milad

Faculty, Staff and Student Publications

Detecting and responding to threat engages several neural nodes including the amygdala, hippocampus, insular cortex, and medial prefrontal cortices. Recent propositions call for the integration of more distributed neural nodes that process sensory and cognitive facets related to threat. Integrative, sensitive, and reproducible distributed neural decoders for the detection and response to threat and safety have yet to be established. We combine functional MRI data across varying threat conditioning and negative affect paradigms from 1465 participants with multivariate pattern analysis to investigate distributed neural representations of threat and safety. The trained decoders sensitively and specifically distinguish between threat and safety …

Examination Of Reward Processing Dysfunctions In The Left Dorsal Striatum And Other Brain Regions Among Psychiatric Inpatients With Substance Use, Julia Myerson, Mario Montelongo, Katrina Rufino, Michelle Patriquin, Ramiro Salas, Hyuntaek Oh

Staff and Researcher Publications

Background: Substance misuse is a major public health issue and research has established attenuated reward responses to drug cues in those who misuse substances. Yet, little is known about whether the expectation of natural reinforcers engages distinct brain regions in substance misuse.

Methods: Using functional magnetic resonance imaging (fMRI), we delivered juice at expected and unexpected times to examine reward processing dysfunctions. We focused on the responses within the left dorsal striatum (DS) in individuals with high-risk substance use (HRU, n = 65), low-risk substance use (psychiatric controls, PC, n = 65), and healthy controls (HC, n = 65). Additionally, …

Mapping Gray And White Matter Volume Abnormalities In Early-Onset Psychosis: An Enigma Multicenter Voxel-Based Morphometry Study, Shuqing Si, Anbreen Bi, Zhaoying Yu, Cheryl See, Sinead Kelly, Sonia Ambrogi, Celso Arango, Inmaculada Baeza, Nerisa Banaj, Michael Berk, Josefina Castro-Fornieles, Benedicto Crespo-Facorro, Jacob J Crouse, Covadonga M Díaz-Caneja, Anne-Kathrin Fett, Adriana Fortea, Sophia Frangou, Benjamin I Goldstein, Ian B Hickie, Joost Janssen, Kody G Kennedy, Lydia Krabbendam, Marinos Kyriakopoulos, Bradley J Macintosh, Pedro Morgado, Stener Nerland, Saül Pascual-Diaz, Maria Picó-Pérez, Fabrizio Piras, Bjørn Rishovd Rund, Elena De La Serna, Gianfranco Spalletta, Gisela Sugranyes, Chao Suo, Diana Tordesillas-Gutiérrez, Daniela Vecchio, Joaquim Radua, Philip Mcguire, Sophia I Thomopoulos, Neda Jahanshad, Paul M Thompson, Claudia Barth, Ingrid Agartz, Anthony James, Matthew J Kempton

Faculty, Staff and Students Publications

INTRODUCTION: Regional gray matter (GM) alterations have been reported in early-onset psychosis (EOP, onset before age 18), but previous studies have yielded conflicting results, likely due to small sample sizes and the different brain regions examined. In this study, we conducted a whole brain voxel-based morphometry (VBM) analysis in a large sample of individuals with EOP, using the newly developed ENIGMA-VBM tool.

METHODS: 15 independent cohorts from the ENIGMA-EOP working group participated in the study. The overall sample comprised T1-weighted MRI data from 482 individuals with EOP and 469 healthy controls. Each site performed the VBM analysis locally using the …

Multi-Site Benchmark Classification Of Major Depressive Disorder Using Machine Learning On Cortical And Subcortical Measures, Vladimir Belov, Tracy Erwin-Grabner, Moji Aghajani, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Robin Bülow, Christopher R K Ching, Colm G Connolly, Kathryn Cullen, Christopher G Davey, Danai Dima, Annemiek Dols, Jennifer W Evans, Cynthia H Y Fu, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke Groenewold, J Paul Hamilton, Ben J Harrison, Tiffany C Ho, Benson Mwangi, Natalia Jaworska, Neda Jahanshad, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Elisa Melloni, Bryon A Mueller, Amar Ojha, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Elena Pozzi, Liesbeth Reneman, Matthew D Sacchet, Philipp G Sämann, Anouk Schrantee, Kang Sim, Jair C Soares, Dan J Stein, Sophia I Thomopoulos, Aslihan Uyar-Demir, Nic J A Van Der Wee, Steven J A Van Der Werff, Henry Völzke, Sarah Whittle, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Roberto Goya-Maldonado, Enigma Major Depressive Disorder Working Group

Faculty, Staff and Student Publications

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy …

Evidence Of Neurovascular Water Exchange And Endothelial Vascular Dysfunction In Schizophrenia: An Exploratory Study, Eric L Goldwaser, Danny J J Wang, Bhim M Adhikari, Joshua Chiappelli, Xingfeng Shao, Jiaao Yu, Tong Lu, Shuo Chen, Wyatt Marshall, Alexa Yuen, Mark Kvarta, Yizhou Ma, Xiaoming Du, Si Gao, Osamah Saeedi, Heather Bruce, Patrick Donnelly, Hugh O'Neill, Alan R Shuldiner, Braxton D Mitchell, Peter Kochunov, L Elliot Hong

Faculty, Staff and Student Publications

BACKGROUND AND HYPOTHESIS: Mounting evidence supports cerebrovascular contributions to schizophrenia spectrum disorder (SSD) but with unknown mechanisms. The blood-brain barrier (BBB) is at the nexus of neural-vascular exchanges, tasked with regulating cerebral homeostasis. BBB abnormalities in SSD, if any, are likely more subtle compared to typical neurological insults and imaging measures that assess large molecule BBB leakage in major neurological events may not be sensitive enough to directly examine BBB abnormalities in SSD.

STUDY DESIGN: We tested the hypothesis that neurovascular water exchange (Kw) measured by non-invasive diffusion-prepared arterial spin label MRI (n = 27 healthy controls [HC], n = …

Csf1r Regulates Schizophrenia-Related Stress Response And Vascular Association Of Microglia/Macrophages, Ling Yan, Yanli Li, Fengmei Fan, Mengzhuang Gou, Fangling Xuan, Wei Feng, Keerthana Chithanathan, Wei Li, Junchao Huang, Hongna Li, Wenjin Chen, Baopeng Tian, Zhiren Wang, Shuping Tan, Alexander Zharkovsky, L Elliot Hong, Yunlong Tan, Li Tian

Faculty, Staff and Student Publications

BACKGROUND: Microglia are known to regulate stress and anxiety in both humans and animal models. Psychosocial stress is the most common risk factor for the development of schizophrenia. However, how microglia/brain macrophages contribute to schizophrenia is not well established. We hypothesized that effector molecules expressed in microglia/macrophages were involved in schizophrenia via regulating stress susceptibility.

METHODS: We recruited a cohort of first episode schizophrenia (FES) patients (n = 51) and age- and sex-paired healthy controls (HCs) (n = 46) with evaluated stress perception. We performed blood RNA-sequencing (RNA-seq) and brain magnetic resonance imaging, and measured plasma level of colony stimulating …

Reward Processing In Psychiatric Inpatients With Depression, Hyuntaek Oh, Jaehoon Lee, Michelle A Patriquin, John Oldham, Ramiro Salas

Staff and Researcher Publications

Background: Previous neuroimaging studies have investigated reward-processing dysfunction in major depressive disorder and have led to the common finding that major depressive disorder is associated with reduced reward responses within the reward circuit. Yet it is unclear whether such reward-processing dysfunction is specifically associated with the severity of depressive symptoms in major depressive disorder or is associated with common comorbidities.

Methods: We investigated reward-processing differences using a classic juice-delivery functional magnetic resonance imaging experiment to compare psychiatric patients with severe depressive symptoms (DEPs) to both psychiatric control subjects (PCs) and healthy control subjects. In this study, the DEPs (n = …

Depression, Stress And Regional Cerebral Blood Flow, Joshua Chiappelli, Bhim M Adhikari, Mark D Kvarta, Heather A Bruce, Eric L Goldwaser, Yizhou Ma, Shuo Chen, Seth Ament, Alan R Shuldiner, Braxton D Mitchell, Peter Kochunov, Danny Jj Wang, L Elliot Hong

Faculty, Staff and Student Publications

Decreased cerebral blood flow (CBF) may be an important mechanism associated with depression. In this study we aimed to determine if the association of CBF and depression is dependent on current level of depression or the tendency to experience depression over time (trait depression), and if CBF is influenced by depression-related factors such as stressful life experiences and antidepressant medication use. CBF was measured in 254 participants from the Amish Connectome Project (age 18-76, 99 men and 154 women) using arterial spin labeling. All participants underwent assessment of symptoms of depression measured with the Beck Depression Inventory and Maryland Trait …

Brain Deficit Patterns Of Metabolic Illnesses Overlap With Those For Major Depressive Disorder: A New Metric Of Brain Metabolic Disease, Kathryn S Hatch, Si Gao, Yizhou Ma, Alessandro Russo, Neda Jahanshad, Paul M Thompson, Bhim M Adhikari, Heather Bruce, Andrew Van Der Vaart, Aristeidis Sotiras, Mark D Kvarta, Thomas E Nichols, Lianne Schmaal, L Elliot Hong, Peter Kochunov

Faculty, Staff and Student Publications

Metabolic illnesses (MET) are detrimental to brain integrity and are common comorbidities in patients with mental illnesses, including major depressive disorder (MDD). We quantified effects of MET on standard regional brain morphometric measures from 3D brain MRI as well as diffusion MRI in a large sample of UK BioBank participants. The pattern of regional effect sizes of MET in non-psychiatric UKBB subjects was significantly correlated with the spatial profile of regional effects reported by the largest meta-analyses in MDD but not in bipolar disorder, schizophrenia or Alzheimer's disease. We used a regional vulnerability index (RVI) for MET (RVI-MET) to measure …

Five Negative Symptom Domains Are Differentially Associated With Resting State Amplitude Of Low Frequency Fluctuations In Schizophrenia, Eun-Jin Cheon, Alie G Male, Bingchen Gao, Bhim M Adhikari, Jesse T Edmond, Stephanie M Hare, Aysenil Belger, Steven G Potkin, Juan R Bustillo, Daniel H Mathalon, Judith M Ford, Kelvin O Lim, Bryon A Mueller, Adrian Preda, Daniel O'Leary, Gregory P Strauss, Anthony O Ahmed, Paul M Thompson, Neda Jahanshad, Peter Kochunov, Vince D Calhoun, Jessica A Turner, Theo G M Van Erp

Faculty, Staff and Student Publications

This study examined associations between resting-state amplitude of low frequency fluctuations (ALFF) and negative symptoms represented by total scores, second-order dimension (motivation and pleasure, expressivity), and first-order domain (anhedonia, avolition, asociality, alogia, blunted affect) factor scores in schizophrenia (n = 57). Total negative symptom scores showed positive associations with ALFF in temporal and frontal brain regions. Negative symptom domain scores showed predominantly stronger associations with regional ALFF compared to total scores, suggesting domain scores may better map to neural signatures than total scores. Improving our understanding of the neuropathology underlying negative symptoms may aid in addressing this unmet therapeutic need …