Browsing by Author "Haswell, Courtney C"

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Open Access
A Pilot Study of Neurocognitive Function and Brain Structures in Adolescents With Alcohol Use Disorders: Does Maltreatment History Matter?
(Child Maltreatment) De Bellis, Michael D; Morey, Rajendra A; Nooner, Kate B; Woolley, Donald P; Haswell, Courtney C; Hooper, Stephen R
Open Access
Altered resting-state functional connectivity of basolateral and centromedial amygdala complexes in posttraumatic stress disorder.
(Neuropsychopharmacology, 2014-01) Brown, Vanessa M; LaBar, Kevin S; Haswell, Courtney C; Gold, Andrea L; Mid-Atlantic MIRECC Workgroup; McCarthy, Gregory; Morey, Rajendra A
The amygdala is a major structure that orchestrates defensive reactions to environmental threats and is implicated in hypervigilance and symptoms of heightened arousal in posttraumatic stress disorder (PTSD). The basolateral and centromedial amygdala (CMA) complexes are functionally heterogeneous, with distinct roles in learning and expressing fear behaviors. PTSD differences in amygdala-complex function and functional connectivity with cortical and subcortical structures remain unclear. Recent military veterans with PTSD (n=20) and matched trauma-exposed controls (n=22) underwent a resting-state fMRI scan to measure task-free synchronous blood-oxygen level dependent activity. Whole-brain voxel-wise functional connectivity of basolateral and CMA seeds was compared between groups. The PTSD group had stronger functional connectivity of the basolateral amygdala (BLA) complex with the pregenual anterior cingulate cortex (ACC), dorsomedial prefrontal cortex, and dorsal ACC than the trauma-exposed control group (p<0.05; corrected). The trauma-exposed control group had stronger functional connectivity of the BLA complex with the left inferior frontal gyrus than the PTSD group (p<0.05; corrected). The CMA complex lacked connectivity differences between groups. We found PTSD modulates BLA complex connectivity with prefrontal cortical targets implicated in cognitive control of emotional information, which are central to explanations of core PTSD symptoms. PTSD differences in resting-state connectivity of BLA complex could be biasing processes in target regions that support behaviors central to prevailing laboratory models of PTSD such as associative fear learning. Further research is needed to investigate how differences in functional connectivity of amygdala complexes affect target regions that govern behavior, cognition, and affect in PTSD.
Open Access
Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium.
(Molecular psychiatry, 2021-08) Dennis, Emily L; Disner, Seth G; Fani, Negar; Salminen, Lauren E; Logue, Mark; Clarke, Emily K; Haswell, Courtney C; Averill, Christopher L; Baugh, Lee A; Bomyea, Jessica; Bruce, Steven E; Cha, Jiook; Choi, Kyle; Davenport, Nicholas D; Densmore, Maria; du Plessis, Stefan; Forster, Gina L; Frijling, Jessie L; Gonenc, Atilla; Gruber, Staci; Grupe, Daniel W; Guenette, Jeffrey P; Hayes, Jasmeet; Hofmann, David; Ipser, Jonathan; Jovanovic, Tanja; Kelly, Sinead; Kennis, Mitzy; Kinzel, Philipp; Koch, Saskia BJ; Koerte, Inga; Koopowitz, Sheri; Korgaonkar, Mayuresh; Krystal, John; Lebois, Lauren AM; Li, Gen; Magnotta, Vincent A; Manthey, Antje; May, Geoff J; Menefee, Deleene S; Nawijn, Laura; Nelson, Steven M; Neufeld, Richard WJ; Nitschke, Jack B; O'Doherty, Daniel; Peverill, Matthew; Ressler, Kerry J; Roos, Annerine; Sheridan, Margaret A; Sierk, Anika; Simmons, Alan; Simons, Raluca M; Simons, Jeffrey S; Stevens, Jennifer; Suarez-Jimenez, Benjamin; Sullivan, Danielle R; Théberge, Jean; Tran, Jana K; van den Heuvel, Leigh; van der Werff, Steven JA; van Rooij, Sanne JH; van Zuiden, Mirjam; Velez, Carmen; Verfaellie, Mieke; Vermeiren, Robert RJM; Wade, Benjamin SC; Wager, Tor; Walter, Henrik; Winternitz, Sherry; Wolff, Jonathan; York, Gerald; Zhu, Ye; Zhu, Xi; Abdallah, Chadi G; Bryant, Richard; Daniels, Judith K; Davidson, Richard J; Fercho, Kelene A; Franz, Carol; Geuze, Elbert; Gordon, Evan M; Kaufman, Milissa L; Kremen, William S; Lagopoulos, Jim; Lanius, Ruth A; Lyons, Michael J; McCauley, Stephen R; McGlinchey, Regina; McLaughlin, Katie A; Milberg, William; Neria, Yuval; Olff, Miranda; Seedat, Soraya; Shenton, Martha; Sponheim, Scott R; Stein, Dan J; Stein, Murray B; Straube, Thomas; Tate, David F; van der Wee, Nic JA; Veltman, Dick J; Wang, Li; Wilde, Elisabeth A; Thompson, Paul M; Kochunov, Peter; Jahanshad, Neda; Morey, Rajendra A
A growing number of studies have examined alterations in white matter organization in people with posttraumatic stress disorder (PTSD) using diffusion MRI (dMRI), but the results have been mixed which may be partially due to relatively small sample sizes among studies. Altered structural connectivity may be both a neurobiological vulnerability for, and a result of, PTSD. In an effort to find reliable effects, we present a multi-cohort analysis of dMRI metrics across 3047 individuals from 28 cohorts currently participating in the PGC-ENIGMA PTSD working group (a joint partnership between the Psychiatric Genomics Consortium and the Enhancing NeuroImaging Genetics through Meta-Analysis consortium). Comparing regional white matter metrics across the full brain in 1426 individuals with PTSD and 1621 controls (2174 males/873 females) between ages 18-83, 92% of whom were trauma-exposed, we report associations between PTSD and disrupted white matter organization measured by lower fractional anisotropy (FA) in the tapetum region of the corpus callosum (Cohen's d = -0.11, p = 0.0055). The tapetum connects the left and right hippocampus, for which structure and function have been consistently implicated in PTSD. Results were consistent even after accounting for the effects of multiple potentially confounding variables: childhood trauma exposure, comorbid depression, history of traumatic brain injury, current alcohol abuse or dependence, and current use of psychotropic medications. Our results show that PTSD may be associated with alterations in the broader hippocampal network.
Open Access
Amygdala volume changes in posttraumatic stress disorder in a large case-controlled veterans group.
(Arch Gen Psychiatry, 2012-11) Morey, Rajendra A; Gold, Andrea L; LaBar, Kevin S; Beall, Shannon K; Brown, Vanessa M; Haswell, Courtney C; Nasser, Jessica D; Wagner, H Ryan; McCarthy, Gregory; Mid-Atlantic MIRECC Workgroup
CONTEXT: Smaller hippocampal volumes are well established in posttraumatic stress disorder (PTSD), but the relatively few studies of amygdala volume in PTSD have produced equivocal results. OBJECTIVE: To assess a large cohort of recent military veterans with PTSD and trauma-exposed control subjects, with sufficient power to perform a definitive assessment of the effect of PTSD on volumetric changes in the amygdala and hippocampus and of the contribution of illness duration, trauma load, and depressive symptoms. DESIGN: Case-controlled design with structural magnetic resonance imaging and clinical diagnostic assessments. We controlled statistically for the important potential confounds of alcohol use, depression, and medication use. SETTING: Durham Veterans Affairs Medical Center, which is located in proximity to major military bases. PATIENTS: Ambulatory patients (n = 200) recruited from a registry of military service members and veterans serving after September 11, 2001, including a group with current PTSD (n = 99) and a trauma-exposed comparison group without PTSD (n = 101). MAIN OUTCOME MEASURE: Amygdala and hippocampal volumes computed from automated segmentation of high-resolution structural 3-T magnetic resonance imaging. RESULTS: Smaller volume was demonstrated in the PTSD group compared with the non-PTSD group for the left amygdala (P = .002), right amygdala (P = .01), and left hippocampus (P = .02) but not for the right hippocampus (P = .25). Amygdala volumes were not associated with PTSD chronicity, trauma load, or severity of depressive symptoms. CONCLUSIONS: These results provide clear evidence of an association between a smaller amygdala volume and PTSD. The lack of correlation between trauma load or illness chronicity and amygdala volume suggests that a smaller amygdala represents a vulnerability to developing PTSD or the lack of a dose-response relationship with amygdala volume. Our results may trigger a renewed impetus for investigating structural differences in the amygdala, its genetic determinants, its environmental modulators, and the possibility that it reflects an intrinsic vulnerability to PTSD.
Open Access
Amygdala, Hippocampus, and Ventral Medial Prefrontal Cortex Volumes Differ in Maltreated Youth with and without Chronic Posttraumatic Stress Disorder.
(Neuropsychopharmacology, 2016-02) Morey, Rajendra A; Haswell, Courtney C; Hooper, Stephen R; De Bellis, Michael D
Posttraumatic stress disorder (PTSD) is considered a disorder of recovery where individuals fail to learn and retain extinction of the traumatic fear response. In maltreated youth, PTSD is common, chronic, and associated with comorbidity. Studies of extinction-related structural volumes (amygdala, hippocampus, anterior cingulate cortex (ACC), and ventral medial prefrontal cortex (vmPFC)) and this stress diathesis, in maltreated youth were not previously investigated. In this cross-sectional study, neuroanatomical volumes associated with extinction in maltreated youth with PTSD (N=31), without PTSD (N=32), and in non-maltreated healthy volunteers (n=57) were examined using magnetic resonance imaging. Groups were sociodemographically similar. Participants underwent extensive assessments for strict inclusion/exclusion criteria and DSM-IV disorders. Maltreated youth with PTSD demonstrated decreased right vmPFC volumes compared with both maltreated youth without PTSD and non-maltreated controls. Maltreated youth without PTSD demonstrated larger left amygdala and right hippocampal volumes compared with maltreated youth with PTSD and non-maltreated control youth. PTSD symptoms inversely correlated with right and left hippocampal and left amygdala volumes. Confirmatory masked voxel base morphometry analyses demonstrated greater medial orbitofrontal cortex gray matter intensity in controls than maltreated youth with PTSD. Volumetric results were not influenced by psychopathology or maltreatment variables. We identified volumetric differences in extinction-related structures between maltreated youth with PTSD from those without PTSD. Alterations of the vmPFC may be one mechanism that mediates the pathway from PTSD to comorbidity. Further longitudinal work is needed to determine neurobiological factors related to chronic and persistent PTSD, and to PTSD resilience despite maltreatment.
Open Access
Effects of chronic mild traumatic brain injury on white matter integrity in Iraq and Afghanistan war veterans.
(Human Brain Mapping, 2013-11) Morey, Rajendra A; Haswell, Courtney C; Selgrade, Elizabeth S; Massoglia, Dino; Liu, Chunlei; Weiner, Jonathan; Marx, Christine E; MIRECC Work Group; Cernak, Ibolja; McCarthy, Gregory
Mild traumatic brain injury (TBI) is a common source of morbidity from the wars in Iraq and Afghanistan. With no overt lesions on structural MRI, diagnosis of chronic mild TBI in military veterans relies on obtaining an accurate history and assessment of behavioral symptoms that are also associated with frequent comorbid disorders, particularly posttraumatic stress disorder (PTSD) and depression. Military veterans from Iraq and Afghanistan with mild TBI (n = 30) with comorbid PTSD and depression and non-TBI participants from primary (n = 42) and confirmatory (n = 28) control groups were assessed with high angular resolution diffusion imaging (HARDI). White matter-specific registration followed by whole-brain voxelwise analysis of crossing fibers provided separate partial volume fractions reflecting the integrity of primary fibers and secondary (crossing) fibers. Loss of white matter integrity in primary fibers (P < 0.05; corrected) was associated with chronic mild TBI in a widely distributed pattern of major fiber bundles and smaller peripheral tracts including the corpus callosum (genu, body, and splenium), forceps minor, forceps major, superior and posterior corona radiata, internal capsule, superior longitudinal fasciculus, and others. Distributed loss of white matter integrity correlated with duration of loss of consciousness and most notably with "feeling dazed or confused," but not diagnosis of PTSD or depressive symptoms. This widespread spatial extent of white matter damage has typically been reported in moderate to severe TBI. The diffuse loss of white matter integrity appears consistent with systemic mechanisms of damage shared by blast- and impact-related mild TBI that involves a cascade of inflammatory and neurochemical events.
Open Access
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.
(NeuroImage, 2023-12) Zhu, Xi; Kim, Yoojean; Ravid, Orren; He, Xiaofu; Suarez-Jimenez, Benjamin; Zilcha-Mano, Sigal; Lazarov, Amit; Lee, Seonjoo; Abdallah, Chadi G; Angstadt, Michael; Averill, Christopher L; Baird, C Lexi; Baugh, Lee A; Blackford, Jennifer U; Bomyea, Jessica; Bruce, Steven E; Bryant, Richard A; Cao, Zhihong; Choi, Kyle; Cisler, Josh; Cotton, Andrew S; Daniels, Judith K; Davenport, Nicholas D; Davidson, Richard J; DeBellis, Michael D; Dennis, Emily L; Densmore, Maria; deRoon-Cassini, Terri; Disner, Seth G; Hage, Wissam El; Etkin, Amit; Fani, Negar; Fercho, Kelene A; Fitzgerald, Jacklynn; Forster, Gina L; Frijling, Jessie L; Geuze, Elbert; Gonenc, Atilla; Gordon, Evan M; Gruber, Staci; Grupe, Daniel W; Guenette, Jeffrey P; Haswell, Courtney C; Herringa, Ryan J; Herzog, Julia; Hofmann, David Bernd; Hosseini, Bobak; Hudson, Anna R; Huggins, Ashley A; Ipser, Jonathan C; Jahanshad, Neda; Jia-Richards, Meilin; Jovanovic, Tanja; Kaufman, Milissa L; Kennis, Mitzy; King, Anthony; Kinzel, Philipp; Koch, Saskia BJ; Koerte, Inga K; Koopowitz, Sheri M; Korgaonkar, Mayuresh S; Krystal, John H; Lanius, Ruth; Larson, Christine L; Lebois, Lauren AM; Li, Gen; Liberzon, Israel; Lu, Guang Ming; Luo, Yifeng; Magnotta, Vincent A; Manthey, Antje; Maron-Katz, Adi; May, Geoffery; McLaughlin, Katie; Mueller, Sven C; Nawijn, Laura; Nelson, Steven M; Neufeld, Richard WJ; Nitschke, Jack B; O'Leary, Erin M; Olatunji, Bunmi O; Olff, Miranda; Peverill, Matthew; Phan, K Luan; Qi, Rongfeng; Quidé, Yann; Rektor, Ivan; Ressler, Kerry; Riha, Pavel; Ross, Marisa; Rosso, Isabelle M; Salminen, Lauren E; Sambrook, Kelly; Schmahl, Christian; Shenton, Martha E; Sheridan, Margaret; Shih, Chiahao; Sicorello, Maurizio; Sierk, Anika; Simmons, Alan N; Simons, Raluca M; Simons, Jeffrey S; Sponheim, Scott R; Stein, Murray B; Stein, Dan J; Stevens, Jennifer S; Straube, Thomas; Sun, Delin; Théberge, Jean; Thompson, Paul M; Thomopoulos, Sophia I; van der Wee, Nic JA; van der Werff, Steven JA; van Erp, Theo GM; van Rooij, Sanne JH; van Zuiden, Mirjam; Varkevisser, Tim; Veltman, Dick J; Vermeiren, Robert RJM; Walter, Henrik; Wang, Li; Wang, Xin; Weis, Carissa; Winternitz, Sherry; Xie, Hong; Zhu, Ye; Wall, Melanie; Neria, Yuval; Morey, Rajendra A
Background
Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.
Methods
We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality.
Results
We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance.
Conclusion
These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.
Open Access
The genetic architecture of the human cerebral cortex.
(Science (New York, N.Y.), 2020-03) Grasby, Katrina L; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita; Hibar, Derrek P; Lind, Penelope A; Pizzagalli, Fabrizio; Ching, Christopher RK; McMahon, Mary Agnes B; Shatokhina, Natalia; Zsembik, Leo CP; Thomopoulos, Sophia I; Zhu, Alyssa H; Strike, Lachlan T; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio AA; Alnæs, Dag; Amlien, Inge K; Andersson, Micael; Ard, Tyler; Armstrong, Nicola J; Ashley-Koch, Allison; Atkins, Joshua R; Bernard, Manon; Brouwer, Rachel M; Buimer, Elizabeth EL; Bülow, Robin; Bürger, Christian; Cannon, Dara M; Chakravarty, Mallar; Chen, Qiang; Cheung, Joshua W; Couvy-Duchesne, Baptiste; Dale, Anders M; Dalvie, Shareefa; de Araujo, Tânia K; de Zubicaray, Greig I; de Zwarte, Sonja MC; den Braber, Anouk; Doan, Nhat Trung; Dohm, Katharina; Ehrlich, Stefan; Engelbrecht, Hannah-Ruth; Erk, Susanne; Fan, Chun Chieh; Fedko, Iryna O; Foley, Sonya F; Ford, Judith M; Fukunaga, Masaki; Garrett, Melanie E; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L; Green, Melissa J; Groenewold, Nynke A; Grotegerd, Dominik; Gurholt, Tiril P; Gutman, Boris A; Hansell, Narelle K; Harris, Mathew A; Harrison, Marc B; Haswell, Courtney C; Hauser, Michael; Herms, Stefan; Heslenfeld, Dirk J; Ho, New Fei; Hoehn, David; Hoffmann, Per; Holleran, Laurena; Hoogman, Martine; Hottenga, Jouke-Jan; Ikeda, Masashi; Janowitz, Deborah; Jansen, Iris E; Jia, Tianye; Jockwitz, Christiane; Kanai, Ryota; Karama, Sherif; Kasperaviciute, Dalia; Kaufmann, Tobias; Kelly, Sinead; Kikuchi, Masataka; Klein, Marieke; Knapp, Michael; Knodt, Annchen R; Krämer, Bernd; Lam, Max; Lancaster, Thomas M; Lee, Phil H; Lett, Tristram A; Lewis, Lindsay B; Lopes-Cendes, Iscia; Luciano, Michelle; Macciardi, Fabio; Marquand, Andre F; Mathias, Samuel R; Melzer, Tracy R; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Moreira, Jose CV; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Najt, Pablo; Nakahara, Soichiro; Nho, Kwangsik; Olde Loohuis, Loes M; Orfanos, Dimitri Papadopoulos; Pearson, John F; Pitcher, Toni L; Pütz, Benno; Quidé, Yann; Ragothaman, Anjanibhargavi; Rashid, Faisal M; Reay, William R; Redlich, Ronny; Reinbold, Céline S; Repple, Jonathan; Richard, Geneviève; Riedel, Brandalyn C; Risacher, Shannon L; Rocha, Cristiane S; Mota, Nina Roth; Salminen, Lauren; Saremi, Arvin; Saykin, Andrew J; Schlag, Fenja; Schmaal, Lianne; Schofield, Peter R; Secolin, Rodrigo; Shapland, Chin Yang; Shen, Li; Shin, Jean; Shumskaya, Elena; Sønderby, Ida E; Sprooten, Emma; Tansey, Katherine E; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Turner, Jessica A; Uhlmann, Anne; Vallerga, Costanza Ludovica; van der Meer, Dennis; van Donkelaar, Marjolein MJ; van Eijk, Liza; van Erp, Theo GM; van Haren, Neeltje EM; van Rooij, Daan; van Tol, Marie-José; Veldink, Jan H; Verhoef, Ellen; Walton, Esther; Wang, Mingyuan; Wang, Yunpeng; Wardlaw, Joanna M; Wen, Wei; Westlye, Lars T; Whelan, Christopher D; Witt, Stephanie H; Wittfeld, Katharina; Wolf, Christiane; Wolfers, Thomas; Wu, Jing Qin; Yasuda, Clarissa L; Zaremba, Dario; Zhang, Zuo; Zwiers, Marcel P; Artiges, Eric; Assareh, Amelia A; Ayesa-Arriola, Rosa; Belger, Aysenil; Brandt, Christine L; Brown, Gregory G; Cichon, Sven; Curran, Joanne E; Davies, Gareth E; Degenhardt, Franziska; Dennis, Michelle F; Dietsche, Bruno; Djurovic, Srdjan; Doherty, Colin P; Espiritu, Ryan; Garijo, Daniel; Gil, Yolanda; Gowland, Penny A; Green, Robert C; Häusler, Alexander N; Heindel, Walter; Ho, Beng-Choon; Hoffmann, Wolfgang U; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Jack, Clifford R; Jang, MiHyun; Jansen, Andreas; Kimbrel, Nathan A; Kolskår, Knut; Koops, Sanne; Krug, Axel; Lim, Kelvin O; Luykx, Jurjen J; Mathalon, Daniel H; Mather, Karen A; Mattay, Venkata S; Matthews, Sarah; Mayoral Van Son, Jaqueline; McEwen, Sarah C; Melle, Ingrid; Morris, Derek W; Mueller, Bryon A; Nauck, Matthias; Nordvik, Jan E; Nöthen, Markus M; O'Leary, Daniel S; Opel, Nils; Martinot, Marie-Laure Paillère; Pike, G Bruce; Preda, Adrian; Quinlan, Erin B; Rasser, Paul E; Ratnakar, Varun; Reppermund, Simone; Steen, Vidar M; Tooney, Paul A; Torres, Fábio R; Veltman, Dick J; Voyvodic, James T; Whelan, Robert; White, Tonya; Yamamori, Hidenaga; Adams, Hieab HH; Bis, Joshua C; Debette, Stephanie; Decarli, Charles; Fornage, Myriam; Gudnason, Vilmundur; Hofer, Edith; Ikram, M Arfan; Launer, Lenore; Longstreth, WT; Lopez, Oscar L; Mazoyer, Bernard; Mosley, Thomas H; Roshchupkin, Gennady V; Satizabal, Claudia L; Schmidt, Reinhold; Seshadri, Sudha; Yang, Qiong; Alzheimer’s Disease Neuroimaging Initiative; CHARGE Consortium; EPIGEN Consortium; IMAGEN Consortium; SYS Consortium; Parkinson’s Progression Markers Initiative; Alvim, Marina KM; Ames, David; Anderson, Tim J; Andreassen, Ole A; Arias-Vasquez, Alejandro; Bastin, Mark E; Baune, Bernhard T; Beckham, Jean C; Blangero, John; Boomsma, Dorret I; Brodaty, Henry; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Bustillo, Juan R; Cahn, Wiepke; Cairns, Murray J; Calhoun, Vince; Carr, Vaughan J; Caseras, Xavier; Caspers, Svenja; Cavalleri, Gianpiero L; Cendes, Fernando; Corvin, Aiden; Crespo-Facorro, Benedicto; Dalrymple-Alford, John C; Dannlowski, Udo; de Geus, Eco JC; Deary, Ian J; Delanty, Norman; Depondt, Chantal; Desrivières, Sylvane; Donohoe, Gary; Espeseth, Thomas; Fernández, Guillén; Fisher, Simon E; Flor, Herta; Forstner, Andreas J; Francks, Clyde; Franke, Barbara; Glahn, David C; Gollub, Randy L; Grabe, Hans J; Gruber, Oliver; Håberg, Asta K; Hariri, Ahmad R; Hartman, Catharina A; Hashimoto, Ryota; Heinz, Andreas; Henskens, Frans A; Hillegers, Manon HJ; Hoekstra, Pieter J; Holmes, Avram J; Hong, L Elliot; Hopkins, William D; Hulshoff Pol, Hilleke E; Jernigan, Terry L; Jönsson, Erik G; Kahn, René S; Kennedy, Martin A; Kircher, Tilo TJ; Kochunov, Peter; Kwok, John BJ; Le Hellard, Stephanie; Loughland, Carmel M; Martin, Nicholas G; Martinot, Jean-Luc; McDonald, Colm; McMahon, Katie L; Meyer-Lindenberg, Andreas; Michie, Patricia T; Morey, Rajendra A; Mowry, Bryan; Nyberg, Lars; Oosterlaan, Jaap; Ophoff, Roel A; Pantelis, Christos; Paus, Tomas; Pausova, Zdenka; Penninx, Brenda WJH; Polderman, Tinca JC; Posthuma, Danielle; Rietschel, Marcella; Roffman, Joshua L; Rowland, Laura M; Sachdev, Perminder S; Sämann, Philipp G; Schall, Ulrich; Schumann, Gunter; Scott, Rodney J; Sim, Kang; Sisodiya, Sanjay M; Smoller, Jordan W; Sommer, Iris E; St Pourcain, Beate; Stein, Dan J; Toga, Arthur W; Trollor, Julian N; Van der Wee, Nic JA; van 't Ent, Dennis; Völzke, Henry; Walter, Henrik; Weber, Bernd; Weinberger, Daniel R; Wright, Margaret J; Zhou, Juan; Stein, Jason L; Thompson, Paul M; Medland, Sarah E; Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Open Access
Trauma re-experiencing symptoms modulate topology of intrinsic functional networks.
(Biol Psychiatry, 2015-08-01) Morey, Rajendra A; Lancaster, Sarah C; Haswell, Courtney C
Open Access
White matter compromise in veterans exposed to primary blast forces.
(J Head Trauma Rehabil, 2015-01) Taber, Katherine H; Hurley, Robin A; Haswell, Courtney C; Rowland, Jared A; Hurt, Susan D; Lamar, Cory D; Morey, Rajendra A
OBJECTIVE: Use diffusion tensor imaging to investigate white matter alterations associated with blast exposure with or without acute symptoms of traumatic brain injury (TBI). PARTICIPANTS: Forty-five veterans of the recent military conflicts included 23 exposed to primary blast without TBI symptoms, 6 having primary blast with mild TBI, and 16 unexposed to blast. DESIGN: Cross-sectional case-control study. MAIN MEASURES: Neuropsychological testing and diffusion tensor imaging metrics that quantified the number of voxel clusters with altered fractional anisotropy (FA) radial diffusivity, and axial diffusivity, regardless of their spatial location. RESULTS: Significantly lower FA and higher radial diffusivity were observed in veterans exposed to primary blast with and without mild TBI relative to blast-unexposed veterans. Voxel clusters of lower FA were spatially dispersed and heterogeneous across affected individuals. CONCLUSION: These results suggest that lack of clear TBI symptoms following primary blast exposure may not accurately reflect the extent of brain injury. If confirmed, our findings would argue for supplementing the established approach of making diagnoses based purely on clinical history and observable acute symptoms with novel neuroimaging-based diagnostic criteria that "look below the surface" for pathology.
Open Access
Widespread Cortical Thickness Is Associated With Neuroactive Steroid Levels.
(Frontiers in Neuroscience, 2019-01) Morey, Rajendra A; Davis, Sarah L; Haswell, Courtney C; Naylor, Jennifer C; Kilts, Jason D; Szabo, Steven T; Shampine, Larry J; Parke, Gillian J; Sun, Delin; Swanson, Chelsea A; Wagner, Henry R; Mid-Atlantic MIRECC Workgroup; Marx, Christine E
Background:Neuroactive steroids are endogenous molecules with regenerative and neuroprotective actions. Both cortical thickness and many neuroactive steroid levels decline with age and are decreased in several neuropsychiatric disorders. However, a systematic examination of the relationship between serum neuroactive steroid levels and in vivo measures of cortical thickness in humans is lacking. Methods:Peripheral serum levels of seven neuroactive steroids were assayed in United States military veterans. All (n = 143) subsequently underwent high-resolution structural MRI, followed by parcellelation of the cortical surface into 148 anatomically defined regions. Regression modeling was applied to test the association between neuroactive steroid levels and hemispheric total gray matter volume as well as region-specific cortical thickness. False discovery rate (FDR) correction was used to control for Type 1 error from multiple testing. Results:Neuroactive steroid levels of allopregnanolone and pregnenolone were positively correlated with gray matter thickness in multiple regions of cingulate, parietal, and occipital association cortices (r = 0.20-0.47; p < 0.05; FDR-corrected). Conclusion:Positive associations between serum neuroactive steroid levels and gray matter cortical thickness are found in multiple brain regions. If these results are confirmed, neuroactive steroid levels and cortical thickness may help in monitoring the clinical response in future intervention studies of neuroregenerative therapies.

Browsing by Author "Haswell, Courtney C"

Background

Methods

Results

Conclusion