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7 results on '"Sophia Thomopoulos"'

1. Lack of Structural Brain Alterations associated with Insomnia: Findings from the ENIGMA-Sleep working group

Author

Antoine Weihs, Stefan Frenzel, Hanwen Bi, Julian Schiel, Mortaza Afshani, Robin Bülow, Ralf Ewert, Ingo Fietze, Felix Hoffstaedter, Neda Jahanshad, Habibolah Khazaie, Dieter Riemann, Masoumeh Rostampour, Beate Stubbe, Sophia Thomopoulos, Paul Thompson, Sofie Valk, Henry Völzke, Mojtaba Zarei, Simon Eickhoff, Hans Grabe, Kaustubh Patil, Kai Spiegelhalder, and Masoud Tahmasian

Abstract

Existing neuroimaging studies have reported divergent structural alterations in insomnia. Here, we performed a large-scale coordinated meta-analysis by pooling structural brain measures from 1,085 subjects with and without insomnia symptoms across three international ENIGMA-Sleep cohorts. The influence of insomnia on MRI-based brain morphometry using an insomnia brain score was assessed. We collected case-control data from two sites, as well as population-based data from another site. Within each cohort, we used an ordinary least-squares linear regression to investigate the link between the individual regional cortical thickness and subcortical volumes and the presence of insomnia symptoms. Then, we performed a fixed-effects meta-analysis across cohorts based on the first-level results. For the insomnia brain score, weighted logistic ridge regression was performed on one sample, which separated patients with insomnia disorder from controls to train a model based on the segmentation measurements. Afterward, the insomnia brain scores were validated using the other two samples. The model was used to predict the log-odds of the subjects with insomnia given individual insomnia-related brain atrophy. After adjusting for multiple comparisons, we did not detect any significant associations between insomnia symptoms and cortical or subcortical volumes, nor could we identify a global insomnia-related brain atrophy pattern. The current study found inconsistent brain morphology differences between individuals with and without insomnia across three independent cohorts. Further large-scale cross-sectional and longitudinal studies using both structural and functional neuroimaging data are warranted to decipher the pathophysiology of insomnia at the brain level.

Published
2022
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2. A mega-analysis of vertex and gyral cortical thickness differences in adults with and without PTSD

Author

Hong Xie, Erin O'Leary, Chia-Hao Shih, Andrew Cotton, John Wall, Tian Chen, Rong Liu, Kevin Xu, Chadi Abdallah, Elpiniki Andrew, C. Lexi Baird, Lee Baugh, Jessica Bomyea, Steven Bruce, Richard Bryant, Kyle Choi, Judith Daniels, Nicholas Davenport, Richard Davidson, Micheal De Bellis, Emily Dennis, Terri deRoon-Cassini, Seth Disner, Negar Fani, Kelene Fercho, Jacklynn Fitzgerald, Gina Forster, Jessie Frijling, Elbert Geuze, Hassan Gomaa, Evan Gordon, Daniel Grupe, Ilan Harpaz-Rotem, Courtney Haswell, Julia Herzog, Davia Hofmann, Micheal Hollifield, Bobak Hosseini, Anna Hudson, Jonathan Ipser, Neda Jahanshad, Tanja Jovanovic, Milissa Kaufman, Anthony King, Saskia koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh Korgaonkar, John Krystal, Christine Larson, Lauren Lebois, Ifat Levy, Gen Li, Mark Logue, Vincent Magnotta, Antje Manthey, Geoffrey May, Katie McLaughlin, Sven Mueller, Laura Nawijn, null Nelson, Yuval Neria, Jack Nitschke, Miranda Olff, Elizabeth Olson, Matthew Peverill, K Luan Phan, Faisal Rashid, Kerry Ressler, Isabelle Rosso, Lauren Salminen, Kelly Sambrook, Freda Scheffler, Christian Schmahl, Martha Shenton, Anika Sierk, Jeffrey Simons, Raluca Simons, Scott Sponheim, Dan Stein, Murray Stein, Jennifer Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Marijo Tamburrino, Sophia Thomopoulos, Nic van der Wee, Steven van der Werff, Theo van Erp, Sanne van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick Veltman, Robert Vermeiren, Henrik Walter, Li Wang, Xi Zhu, Ye Zhu, Paul Thompson, Xin Wang, Rajendra Morey, and Israel Liberzon

Abstract

A number of studies of posttraumatic stress disorder (PTSD) report thinner cerebral cortical gyri using gyrus-based analysis or thinner foci within the gyri using vertex-based analysis. However, the locations of these findings are inconsistent across studies, and the spatial transformations required during vertex-based analysis may affect the focal findings. A mega-analysis using a large number of subjects from multiple PTSD studies could potentially identify more reproducible cortical thickness abnormalities. Investigating both the vertex and gyral thicknesses simultaneously may verify the vertex-based focal findings using gyral data without imposing any spatial transformation. Here we aggregated data from 24 international laboratories using ENIGMA standardized procedures for 949 adult PTSD patients and 1493 controls without PTSD (age 18 to 65 years). We examined whether gyral and vertex cortical thickness are (a) different between subjects with PTSD and controls and (b) associated with PTSD symptom severity in trauma-exposed subjects. Regions with overlapping thinner cortical gyri and thinner vertex clusters were located in frontal, temporal, parietal, and occipital cortices. Thinner right lateral orbitofrontal and right lingual gyri and concomitantly thinner vertex clusters in the anterior portions of both gyri were associated with PTSD symptom severity. Convergent findings in these locations suggest focally thinner cortex in these gyri, which may be involved in altered processing and regulation of emotion and sensory inputs underlying posttraumatic stress symptoms.

Published
2022

4. Dissociable Cellular and Genetic Mechanisms of Cortical Thinning at Different Life Stages

Author

Amirhossein Modabbernia, Didac Vidal-Pineiro, Ingrid Agartz, Ole Andreassen, Rosa Ayesa-Arriola, Alessandro Bertolino, D Boomsma, Josiane Bourque, Alan Breier, Henry Brodaty, Rachel Brouwer, Jan Buitelaar, Erick Canales-Rodriguez, Xavier Caseras, Patricia Conrod, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline Crone, Greig De Zubicaray, Erin Dickie, Danai Dima, Thomas Espeseth, Stefan Frenzel, Simon Fisher, Barbara Franke, David Glahn, Hans Grabe, Dominik Grotegerd, Oliver Gruber, Amalia Guerrero-Pedraza, Raquel Gur, Ruben Gur, Catharina Hartman, Pieter Hoekstra, Hilleke Hulshoff Pol, Neda Jahanshad, Terry Jernigan, Jiyang Jiang, Andrew Kalnin, Nicole Kochan, Bernard Mazoyer, Brenna McDonald, Katie McMahon, Lars Nyberg, Jaap Oosterlaan, E Pomarol-Clotet, Joaquim Radua, Joshua Roffman, Perminder Sachdev, Theodore Satterthwaite, Raymond Salvador, Salvador Sarró, Andrew Saykin, Gunter Schumann, Jordan Smoller, Iris Sommer, Christian Tamnes, Sophia Thomopoulos, Julian Trollor, Dennis van 't Ent, Aristotle Voineskos, Yang Wang, Bernd Weber, Wei Wen, Lars T. Westlye, Heather Whalley, Lara wierenga, Steven Williams, Katharina Wittfeld, Margaret Wright, Paul Thompson, Tomas Paus, and Sophia Frangou

Abstract

Mechanisms underpinning neurotypical age-related variations in cortical thickness in the human brain remain insufficiently specified. Here we used cell-specific marker genes, followed by gene ontology and enrichment analyses, to quantify the association between gene-expression levels and inter-regional age-related variations in neurotypical cortical thinning using multicohort neuroimaging data from 14,248 individuals ages 4-89 years. We found that early-life (60 years) were associated with distinct patterns of association between inter-regional profiles of cortical thickness and expression profiles of markers genes for CA1 and S1 pyramidal cells, astrocytes, and microglia. Gene ontology and enrichment analyses indicated each of the three life-stages was associated with different biological processes and cellular components; these related to synaptic modeling in early life, neurotransmission in mid-life, and neurodegeneration in late-life. These findings provide mechanistic insights on age-related cortical thinning during typical development and ageing.

Published
2022

6. Digging up sounds, images and words together in Athens

Author

Christina Thomopoulos, Kurosh Dadgar, Esra Dogan, Saeid Ghasemi, Baba Safar, and Sophia Thomopoulos

Subjects
Archeology, Digging, media_common.quotation_subject, Art, Classics, media_common
Published
2017

7. Structural and functional brain alterations revealed by neuroimaging in CNV carriers

Author

Christopher R.K. Ching, Carrie E. Bearden, Clara Moreau, Sébastien Jacquemont, Kuldeep Kumar, Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre Hospitalier Universitaire Sainte Justine (CHU Sainte Justine), Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Keck School of Medicine [Los Angeles], University of Southern California (USC), Semel Institute for Neuroscience and Human Behavior [Los Angeles, Ca], University of California [Los Angeles] (UCLA), University of California-University of California, This work was supported by Calcul Quebec (http://www.calculquebec.ca) and Compute Canada (http://www.computecanada.ca), the Brain Canada Multi-Investigator initiative, the Canadian Institutes of Health Research, CIHR_400528, The Institute of Data Valorization (IVADO) through the Canada First Research Excellence Fund, Healthy Brains for Healthy Lives through the Canada First Research Excellence Fund, and the National Institute of Mental Health (grants R01MH085953, R21MH116473, and 9U01MH119736-02).Dr Jacquemont is a recipient of a Canada Research Chair in neurodevelopmental disorders, and a chair from the Jeanne et Jean Louis Levesque Foundation. Kuldeep Kumar was supported by The Institute of Data Valorization (IVADO) Postdoctoral Fellowship program, through the Canada First Research Excellence Fund. CRKC was supported by NIAT32AG058507 and U54EB020403 from the Big Data to Knowledge (BD2K) Program., We wish to thank Sophia Thomopoulos for her assistance with accessing effect size data from the published ENIGMA studies for Figure 2. We also thank the ENIGMA 22q11.2 Deletion Syndrome Working Group (http://enigma.ini.usc.edu/ongoing/enigma-22q-working-group/) and CNV Working Group members (http://enigma.ini.usc.edu/ongoing/enigma-cnv/) for their contributions to these large-scale collaborative studies., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), CHU Sainte Justine [Montréal], and University of California (UC)-University of California (UC)

Subjects
DNA Copy Number Variations, Endophenotypes, Population, Neuroimaging, Genomics, Computational biology, Biology, Article, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Clinical Research, Genetics, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Copy-number variation, Aetiology, education, 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0303 health sciences, education.field_of_study, Mental Disorders, [SCCO.NEUR]Cognitive science/Neuroscience, Human Genome, Neurosciences, Brain, Brain Disorders, 3. Good health, Mental Health, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Endophenotype, Neurological, Patient Safety, 030217 neurology & neurosurgery, Genome-Wide Association Study, Developmental Biology
Abstract

International audience; Copy Number Variants (CNVs) are associated with elevated rates of neuropsychiatric disorders. A 'genetics-first' approach, involving the CNV effects on the brain, irrespective of clinical symptomatology, allows investigation of mechanisms underlying neuropsychiatric disorders in the general population. Recent years have seen an increasing number of larger multisite neuroimaging studies investigating the effect of CNVs on structural and functional brain endophenotypes. Alterations overlap with those found in idiopathic psychiatric conditions but effect sizes are twofold to fivefold larger. Here we review new CNV-associated structural and functional brain alterations and outline the future of neuroimaging genomics research, with particular emphasis on developing new resources for the study of high-risk CNVs and rare genomic variants.

Published
2021

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