215 results on '"Karama, Sherif"'
Search Results
2. Making use of N-of-1 trials to treat ADHD in people with psychosis: a hypothetical case
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Dalton, Kathryn, Joober, Ridha, Karama, Sherif, and Palaniyappan, Lena
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Paranoia -- Care and treatment ,Academic achievement -- Usage ,Patient compliance -- Usage ,Attention-deficit hyperactivity disorder -- Care and treatment ,Cellular proteins -- Usage ,Health ,Psychology and mental health - Abstract
The information in this column is not intended as a definitive treatment strategy but as a suggested approach for clinicians treating patients with similar histories. Individual cases may vary and [...]
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- 2024
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3. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.
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Hofer, Edith, Roshchupkin, Gennady V, Adams, Hieab HH, Knol, Maria J, Lin, Honghuang, Li, Shuo, Zare, Habil, Ahmad, Shahzad, Armstrong, Nicola J, Satizabal, Claudia L, Bernard, Manon, Bis, Joshua C, Gillespie, Nathan A, Luciano, Michelle, Mishra, Aniket, Scholz, Markus, Teumer, Alexander, Xia, Rui, Jian, Xueqiu, Mosley, Thomas H, Saba, Yasaman, Pirpamer, Lukas, Seiler, Stephan, Becker, James T, Carmichael, Owen, Rotter, Jerome I, Psaty, Bruce M, Lopez, Oscar L, Amin, Najaf, van der Lee, Sven J, Yang, Qiong, Himali, Jayandra J, Maillard, Pauline, Beiser, Alexa S, DeCarli, Charles, Karama, Sherif, Lewis, Lindsay, Harris, Mat, Bastin, Mark E, Deary, Ian J, Veronica Witte, A, Beyer, Frauke, Loeffler, Markus, Mather, Karen A, Schofield, Peter R, Thalamuthu, Anbupalam, Kwok, John B, Wright, Margaret J, Ames, David, Trollor, Julian, Jiang, Jiyang, Brodaty, Henry, Wen, Wei, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, Niessen, Wiro J, Wittfeld, Katharina, Bülow, Robin, Völker, Uwe, Pausova, Zdenka, Bruce Pike, G, Maingault, Sophie, Crivello, Fabrice, Tzourio, Christophe, Amouyel, Philippe, Mazoyer, Bernard, Neale, Michael C, Franz, Carol E, Lyons, Michael J, Panizzon, Matthew S, Andreassen, Ole A, Dale, Anders M, Logue, Mark, Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, ENIGMA consortium, Sachdev, Perminder S, Kremen, William S, Wardlaw, Joanna M, Villringer, Arno, van Duijn, Cornelia M, Grabe, Hans J, Longstreth, William T, Fornage, Myriam, Paus, Tomas, Debette, Stephanie, Ikram, M Arfan, Schmidt, Helena, Schmidt, Reinhold, and Seshadri, Sudha
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ENIGMA consortium ,Brain ,Chromosome Structures ,Humans ,Neurodegenerative Diseases ,Cognition ,Mental Disorders ,Genomics ,Aging ,Phenotype ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,Male ,Genome-Wide Association Study ,Genetics ,Neurosciences ,Human Genome ,Brain Disorders ,Biotechnology ,1.1 Normal biological development and functioning ,2.1 Biological and endogenous factors ,Neurological - Abstract
Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
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- 2020
4. The genetic architecture of the human cerebral cortex
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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, Braber, Anouk den, 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, and Milaneschi, Yuri
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Biological Sciences ,Genetics ,Neurosciences ,Mental Health ,Brain Disorders ,Stem Cell Research ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Attention Deficit Disorder with Hyperactivity ,Brain Mapping ,Cerebral Cortex ,Cognition ,Genetic Loci ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Magnetic Resonance Imaging ,Organ Size ,Parkinson Disease ,Alzheimer’s Disease Neuroimaging Initiative ,CHARGE Consortium ,EPIGEN Consortium ,IMAGEN Consortium ,SYS Consortium ,Parkinson’s Progression Markers Initiative ,Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group ,General Science & Technology - Abstract
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.
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- 2020
5. General cognitive ability and pericortical contrast
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Drakulich, Stefan, Sitartchouk, Arseni, Olafson, Emily, Sarhani, Reda, Thiffault, Anne-Charlotte, Chakravarty, Mallar, Evans, Alan C., and Karama, Sherif
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- 2022
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6. Maturational trajectories of pericortical contrast in typical brain development
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Drakulich, Stefan, Thiffault, Anne-Charlotte, Olafson, Emily, Parent, Olivier, Labbe, Aurelie, Albaugh, Matthew D., Khundrakpam, Budhachandra, Ducharme, Simon, Evans, Alan, Chakravarty, Mallar M., and Karama, Sherif
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- 2021
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7. Randomness and nondeterminism: from genes to free will with implications for psychiatry
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Joober, Ridha and Karama, Sherif
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Genetic variation -- Health aspects ,Mental illness -- Genetic aspects ,Health ,Psychology and mental health - Abstract
'One Toss of the Dice Will Never Abolish Chance' --Stephane Mallarme, 1898 Randomness and selection are fundamental processes rooted in the very basis of life, as postulated by the theory [...]
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- 2021
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8. Genome-wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability
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Huguet, Guillaume, Schramm, Catherine, Douard, Elise, Tamer, Petra, Main, Antoine, Monin, Pauline, England, Jade, Jizi, Khadije, Renne, Thomas, Poirier, Myriam, Nowak, Sabrina, Martin, Charles-Olivier, Younis, Nadine, Knoth, Inga Sophia, Jean-Louis, Martineau, Saci, Zohra, Auger, Maude, Tihy, Frédérique, Mathonnet, Géraldine, Maftei, Catalina, Léveillé, France, Porteous, David, Davies, Gail, Redmond, Paul, Harris, Sarah E., Hill, W. David, Lemyre, Emmanuelle, Schumann, Gunter, Bourgeron, Thomas, Pausova, Zdenka, Paus, Tomas, Karama, Sherif, Lippe, Sarah, Deary, Ian J., Almasy, Laura, Labbe, Aurélie, Glahn, David, Greenwood, Celia M. T., and Jacquemont, Sébastien
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- 2021
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9. Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study
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Román, Francisco J, Lewis, Lindsay B, Chen, Chi-Hua, Karama, Sherif, Burgaleta, Miguel, Martínez, Kenia, Lepage, Claude, Jaeggi, Susanne M, Evans, Alan C, Kremen, William S, and Colom, Roberto
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Biomedical and Clinical Sciences ,Medical Physiology ,Neurosciences ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Mental health ,Adolescent ,Adult ,Brain ,Female ,Gray Matter ,Humans ,Intelligence ,Magnetic Resonance Imaging ,Memory ,Short-Term ,Young Adult ,Cognitive training ,Brain plasticity ,Surface-based morphometry ,Cortical thickness ,Cortical surface area ,Cognitive Sciences ,Developmental Biology ,Neurology & Neurosurgery ,Medical physiology - Abstract
Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17-22 years) completed 24 training sessions over the course of 3 months (12 weeks, 24 sessions), showing expected performance improvements. CT and CSA values for the training group were compared with those of a matched control group. Statistical analyses were computed using a ROI framework defined by brain areas distinguished by their genetic underpinning. The interaction between group and time was analyzed. Middle temporal, ventral frontal, inferior parietal cortices, and pars opercularis were the regions where the training group showed conservation of gray matter with respect to the control group. These regions support working memory, resistance to interference, and inhibition. Furthermore, an interaction with baseline intelligence differences showed that the expected decreasing trend at the biological level for individuals showing relatively low intelligence levels at baseline was attenuated by the completed training.
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- 2016
10. Time-Lagged Associations between Cognitive and Cortical Development from Childhood to Early Adulthood
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Estrada, Eduardo, Ferrer, Emilio, Román, Francisco J., Karama, Sherif, and Colom, Roberto
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Throughout childhood and adolescence, humans experience marked changes in cortical structure and cognitive ability. Cortical thickness and surface area, in particular, have been associated with cognitive ability. Here we ask the question: What are the time-related associations between cognitive changes and cortical structure maturation. Identifying a developmental sequence requires multiple measurements of these variables from the same individuals across time. This allows capturing relations among the variables and, thus, finding whether (a) developmental cognitive changes follow cortical structure maturation, (b) cortical structure maturation follows cognitive changes, or (c) both processes influence each other over time. Four hundred and thirty children and adolescents (age range = 6.01-22.28 years) completed the Wechsler Abbreviated Scale of Intelligence battery and were MRI scanned at 3 time points separated by ˜2 years (M[subscript age] T1 = 10.60, SD = 3.58; M[subscript age] T2 = 12.63, SD = 3.62; M[subscript age] T3 = 14.49, SD = 3.55). Latent change score models were applied to quantify age-related relationships among the variables of interest. Our results indicate that cortical and cognitive changes related to each other reciprocally. Specifically, the magnitude or rate of the change in each variable at any occasion--and not the previous level--was predictive of later changes. These results were replicated for brain regions selected according to the coordinates identified in the Basten et al.'s (2015)meta-analysis, to the parieto-frontal integration theory (Jung & Haier, 2007) and to the whole cortex. Potential implications regarding brain plasticity and cognitive enhancement are discussed.
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- 2019
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11. Structural Brain Imaging of Intelligence
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Drakulich, Stefan, primary and Karama, Sherif, additional
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- 2021
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12. Reproducibility of brain‐cognition relationships using three cortical surface‐based protocols: An exhaustive analysis based on cortical thickness
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Martínez, Kenia, Madsen, Sarah K, Joshi, Anand A, Joshi, Shantanu H, Román, Francisco J, Villalon-Reina, Julio, Burgaleta, Miguel, Karama, Sherif, Janssen, Joost, Marinetto, Eugenio, Desco, Manuel, Thompson, Paul M, and Colom, Roberto
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Brain Disorders ,Behavioral and Social Science ,Neurosciences ,Biomedical Imaging ,Mental Health ,Bioengineering ,Clinical Research ,1.2 Psychological and socioeconomic processes ,Underpinning research ,Mental health ,Neurological ,Adolescent ,Adult ,Brain ,Brain Mapping ,Cognition ,Female ,Humans ,Individuality ,Magnetic Resonance Imaging ,Male ,Neuropsychological Tests ,Organ Size ,Reproducibility of Results ,Young Adult ,surface-based methods ,cortical thickness ,higher order cognition ,Cognitive Sciences ,Experimental Psychology - Abstract
People differ in their cognitive functioning. This variability has been exhaustively examined at the behavioral, neural and genetic level to uncover the mechanisms by which some individuals are more cognitively efficient than others. Studies investigating the neural underpinnings of interindividual differences in cognition aim to establish a reliable nexus between functional/structural properties of a given brain network and higher order cognitive performance. However, these studies have produced inconsistent results, which might be partly attributed to methodological variations. In the current study, 82 healthy young participants underwent MRI scanning and completed a comprehensive cognitive battery including measurements of fluid, crystallized, and spatial intelligence, along with working memory capacity/executive updating, controlled attention, and processing speed. The cognitive scores were obtained by confirmatory factor analyses. T1 -weighted images were processed using three different surface-based morphometry (SBM) pipelines, varying in their degree of user intervention, for obtaining measures of cortical thickness (CT) across the brain surface. Distribution and variability of CT and CT-cognition relationships were systematically compared across pipelines and between two cognitively/demographically matched samples to overcome potential sources of variability affecting the reproducibility of findings. We demonstrated that estimation of CT was not consistent across methods. In addition, among SBM methods, there was considerable variation in the spatial pattern of CT-cognition relationships. Finally, within each SBM method, results did not replicate in matched subsamples.
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- 2015
13. Role of DHEA and cortisol in prefrontal-amygdalar development and working memory
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Farooqi, Nasr A.I., Scotti, Martina, Lew, Ji Min, Botteron, Kelly N., Karama, Sherif, McCracken, James T., and Nguyen, Tuong-Vi
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- 2018
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14. Dissecting genetic cross-talk between ADHD and other neurodevelopmental disorders: Evidence from behavioural, pharmacological and brain imaging investigations
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Sengupta, Sarojini M., Fotopoulos, Nellie, Devenyi, Gabriel A., Fortier, Marie-Ève, Ter-Stepanian, Marina, Sagliker, Saba, Karama, Sherif, Mallar Chakravarty, M., Labbe, Aurelie, Grizenko, Natalie, and Joober, Ridha
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- 2018
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15. Widespread associations between trait conscientiousness and thickness of brain cortical regions
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Lewis, Gary J., Dickie, David Alexander, Cox, Simon R., Karama, Sherif, Evans, Alan C., Starr, John M., Bastin, Mark E., Wardlaw, Joanna M., and Deary, Ian J.
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- 2018
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16. Brain-intelligence relationships across childhood and adolescence: A latent-variable approach
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Román, Francisco J., Morillo, Daniel, Estrada, Eduardo, Escorial, Sergio, Karama, Sherif, and Colom, Roberto
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- 2018
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17. Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume
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Ritchie, Stuart J., Dickie, David Alexander, Cox, Simon R., Valdés Hernández, Maria del C., Sibbett, Ruth, Pattie, Alison, Anblagan, Devasuda, Redmond, Paul, Royle, Natalie A., Corley, Janie, Maniega, Susana Muñoz, Taylor, Adele M., Karama, Sherif, Booth, Tom, Gow, Alan J., Starr, John M., Bastin, Mark E., Wardlaw, Joanna M., and Deary, Ian J.
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- 2018
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18. Cortical surface area variations within the dorsolateral prefrontal cortex are better predictors of future cognitive performance than fluid ability and working memory
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Roman, Francisco J., Jaeggi, Susanne M., Martinez, Kenia, Privado, Jesus, Lewis, Lindsay B., Chen, Chi-Hua, Escorial, Sergio, Kremen, William S., Karama, Sherif, and Colom, Roberto
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- 2019
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19. Processing speed and the relationship between Trail Making Test-B performance, cortical thinning and white matter microstructure in older adults
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MacPherson, Sarah E., Cox, Simon R., Dickie, David A., Karama, Sherif, Starr, John M., Evans, Alan C., Bastin, Mark E., Wardlaw, Joanna M., and Deary, Ian J.
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- 2017
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20. Enhanced structural connectivity within a brain sub-network supporting working memory and engagement processes after cognitive training
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Román, Francisco J., Iturria-Medina, Yasser, Martínez, Kenia, Karama, Sherif, Burgaleta, Miguel, Evans, Alan C., Jaeggi, Susanne M., and Colom, Roberto
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- 2017
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21. Age-related volumetric change of limbic structures and subclinical anxious/depressed symptomatology in typically developing children and adolescents
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Albaugh, Matthew D., Nguyen, Tuong-Vi, Ducharme, Simon, Collins, D. Louis, Botteron, Kelly N., D’Alberto, Nicholas, Evans, Alan C., Karama, Sherif, and Hudziak, James J.
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- 2017
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22. Beyond a bigger brain: Multivariable structural brain imaging and intelligence
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Ritchie, Stuart J., Booth, Tom, Valdés Hernández, Maria del C., Corley, Janie, Maniega, Susana Muñoz, Gow, Alan J., Royle, Natalie A., Pattie, Alison, Karama, Sherif, Starr, John M., Bastin, Mark E., Wardlaw, Joanna M., and Deary, Ian J.
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- 2015
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23. Individualized prediction of future cognition based on developmental changes in cortical anatomy
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Khundrakpam, Budhachandra, primary, Booij, Linda, additional, Jeon, Seun, additional, Karama, Sherif, additional, Tohka, Jussi, additional, and Evans, Alan C., additional
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- 2022
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24. Effects of Sex Steroids in the Human Brain
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Nguyen, Tuong-Vi, Ducharme, Simon, and Karama, Sherif
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- 2016
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25. Cortical Thickness Maturation and Duration of Music Training: Health-Promoting Activities Shape Brain Development
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Hudziak, James J., Albaugh, Matthew D., Ducharme, Simon, Karama, Sherif, Spottswood, Margaret, Crehan, Eileen, Evans, Alan C., and Botteron, Kelly N.
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- 2014
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26. Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish cohort
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Luciano, Michelle, Corley, Janie, Cox, Simon R., Valdés Hernández, Maria C., Craig, Leone C.A., Dickie, David Alexander, Karama, Sherif, McNeill, Geraldine M., Bastin, Mark E., Wardlaw, Joanna M., and Deary, Ian J.
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- 2017
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27. Imaging structural covariance in the development of intelligence
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Khundrakpam, Budhachandra S., Lewis, John D., Reid, Andrew, Karama, Sherif, Zhao, Lu, Chouinard-Decorte, Francois, and Evans, Alan C.
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- 2017
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28. Progression of White Matter Disease and Cortical Thinning Are Not Related in Older Community-Dwelling Subjects
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Dickie, David Alexander, Karama, Sherif, Ritchie, Stuart J., Cox, Simon R., Sakka, Eleni, Royle, Natalie A., Aribisala, Benjamin S., Hernández, Maria Valdés, Maniega, Susana Muñoz, Pattie, Alison, Corley, Janie, Starr, John M., Bastin, Mark E., Evans, Alan C., Deary, Ian J., and Wardlaw, Joanna M.
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- 2016
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29. Trajectories of cortical thickness maturation in normal brain development — The importance of quality control procedures
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Ducharme, Simon, Albaugh, Matthew D., Nguyen, Tuong-Vi, Hudziak, James J., Mateos-Pérez, J. M., Labbe, Aurelie, Evans, Alan C., and Karama, Sherif
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- 2016
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30. Structural insights into aberrant cortical morphometry and network organization in psychogenic erectile dysfunction
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Zhao, Lu, Guan, Min, Zhang, Xiangsheng, Karama, Sherif, Khundrakpam, Budhachandra, Wang, Meiyun, Dong, Minghao, Qin, Wei, Tian, Jie, Evans, Alan C., and Shi, Dapeng
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- 2015
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31. A new template to study callosal growth shows specific growth in anterior and posterior regions of the corpus callosum in early childhood
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Ansado, Jennyfer, Collins, Louis, Fonov, Vladimir, Garon, Mathieu, Alexandrov, Lubomir, Karama, Sherif, Evans, Alan, and Beauchamp, Miriam H.
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- 2015
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32. Neuroanatomical Correlates of Behavioral Rating Versus Performance Measures of Working Memory in Typically Developing Children and Adolescents
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Faridi, Nazlie, Karama, Sherif, Burgaleta, Miguel, White, Matthew T., Evans, Alan C., Fonov, Vladimir, Collins, Louis D., and Waber, Deborah P.
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- 2015
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33. Anxious/Depressed Symptoms are Linked to Right Ventromedial Prefrontal Cortical Thickness Maturation in Healthy Children and Young Adults
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Ducharme, Simon, Albaugh, Matthew D., Hudziak, James J., Botteron, Kelly N., Nguyen, Tuong-Vi, Truong, Catherine, Evans, Alan C., Karama, Sherif, Ball, William S., Byars, Anna Weber, Schapiro, Mark, Bommer, Wendy, Carr, April, German, April, Dunn, Scott, Rivkin, Michael J., Waber, Deborah, Mulkern, Robert, Vajapeyam, Sridhar, Chiverton, Abigail, Davis, Peter, Koo, Julie, Marmor, Jacki, Mrakotsky, Christine, Robertson, Richard, McAnulty, Gloria, Brandt, Michael E., Fletcher, Jack M., Kramer, Larry A., Yang, Grace, McCormack, Cara, Hebert, Kathleen M., Volero, Hilda, Botteron, Kelly, McKinstry, Robert C., Warren, William, Nishino, Tomoyuki, Almli, C. Robert, Todd, Richard, Constantino, John, McCracken, James T., Levitt, Jennifer, Alger, Jeffrey, OʼNeil, Joseph, Toga, Arthur, Asarnow, Robert, Fadale, David, Heinichen, Laura, Ireland, Cedric, Wang, Dah-Jyuu, Moss, Edward, Zimmerman, Robert A., Bintliff, Brooke, Bradford, Ruth, Newman, Janice, Evans, Alan C., Arnaoutelis, Rozalia, Pike, G. Bruce, Collins, D. Louis, Leonard, Gabriel, Paus, Tomas, Zijdenbos, Alex, Das, Samir, Fonov, Vladimir, Fu, Luke, Harlap, Jonathan, Leppert, Ilana, Milovan, Denise, Vins, Dario, Zeffiro, Thomas, Van Meter, John, Lange, Nicholas, Froimowitz, Michael P., Botteron, Kelly, Almli, C. Robert, Rainey, Cheryl, Henderson, Stan, Nishino, Tomoyuki, Warren, William, Edwards, Jennifer L., Dubois, Diane, Smith, Karla, Singer, Tish, Wilber, Aaron A., Pierpaoli, Carlo, Basser, Peter J., Chang, Lin-Ching, Koay, Chen Guan, Walker, Lindsay, Freund, Lisa, Rumsey, Judith, Baskir, Lauren, Stanford, Laurence, Sirocco, Karen, Gwinn-Hardy, Katrina, Spinella, Giovanna, McCracken, James T., Alger, Jeffry R., Levitt, Jennifer, and OʼNeill, Joseph
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- 2014
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34. Estimating the effect-size of gene dosage on cognitive ability across the coding genome
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Huguet, Guillaume, Schramm, Catherine, Douard, Elise, Petra, Tamer, Main, Antoine, Monin, Pauline, England, Jade, Jizi, Khadije, Renne, Thomas, Poirier, Myriam, Nowak, Sabrina, Martin, Charles-Olivier, Younis, Nadine, Knoth, Inga Sophia, Jean-Louis, Martineau, Saci, Zohra, Auger, Maude, Tihy, Frédérique, Mathonnet, Géraldine, Maftei, Catalina, Léveillé, France, Porteous, David, Davies, Gail, Redmond, Paul, Harris, Sarah E., Hill, W. David, Lemyre, Emmanuelle, Schumann, Gunter, Bourgeron, Thomas, Pausova, Zdenka, Paus, Tomas, Karama, Sherif, Lippe, Sarah, Deary, Ian J., Almasy, Laura, Labbe, Aurélie, Glahn, David, Greenwood, Celia M.T., and Jacquemont, Sébastien
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endocrine system diseases ,mental disorders - Abstract
Rare genomic Copy Number Variants (CNVs) are major contributors to neurodevelopmental disorder. The vast majority of pathogenic CNVs reported back to patients are ultra-rare and their quantitative effects on traits such as intelligence are undocumented. Here, we identified all CNVs ≥ 50 kilobase in 24,092 individuals from unselected and autism cohorts. We developed statistical models to estimate the effect-size of CNVs on intelligence based on their coding and non-coding characteristics. Measures of intolerance to haploinsufficiency best explained the effect of any deletion or duplication on general intelligence. There was no heterogeneity across unselected and autism cohorts. Validation was performed using an intraclass concordance and showed that model estimates of general intelligence were 78% accurate with mean effect-sizes previously published for 47 CNVs. Inheritance data on 27,766 CNVs showed that deletions and duplications with the same large effect-size on intelligence occur de novo at the same frequency. Our first outline for the effect sizes of all coding genes on intelligence suggests that around 10,000 genes affect this trait.
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- 2020
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35. Association between carotid atheroma and cerebral cortex structure at age 73 years
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Alhusaini, Saud, Karama, Sherif, Nguyen, Tuong‐Vi, Thiel, Alexander, Bernhardt, Boris C., Cox, Simon R., Corley, Janie, Taylor, Adele, Evans, Alan C., Star, John M., Bastin, Mark E., Wardlaw, Joanna M., Deary, Ian J., and Ducharme, Simon
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Carotid Artery Diseases ,Cerebral Cortex ,Male ,Ultrasonography, Doppler ,Organ Size ,Mental Status and Dementia Tests ,Magnetic Resonance Imaging ,Cohort Studies ,Cross-Sectional Studies ,Scotland ,cardiovascular system ,Humans ,Female ,cardiovascular diseases ,Research Articles ,Carotid Artery, Internal ,Research Article ,Aged - Abstract
Objective To examine the relationship between carotid atherosclerosis and cerebral cortical thickness and investigate whether cortical thickness mediates the association between carotid atheroma and relative cognitive decline. Methods We assessed 554 community‐dwelling subjects (male/female: 296/258) from the Lothian Birth Cohort 1936 who underwent brain magnetic resonance imaging and carotid Doppler ultrasound studies at age 73 years. The relationship between carotid atherosclerosis markers (internal carotid artery stenosis, intima–media thickness, velocity, pulsatility, and resistivity indexes) and vertex‐wide cerebral cortical thickness was examined cross‐sectionally, controlling for gender, extensive vascular risk factors (VRFs), and intelligence quotient at age 11 (IQ‐11). We also determined the association between carotid stenosis and a composite measure of fluid intelligence at age 73 years. A mediation model was applied to examine whether cortical thickness mediated the relationship between carotid stenosis and cognitive function. Results A widespread negative association was identified between carotid stenosis (median = 15%) and cerebral cortical thickness at age 73 years, independent of the side of carotid stenosis, other carotid measures, VRFs, and IQ‐11. This association increased in an almost dose–response relationship from mild to severe degrees of carotid stenosis, across the anterior and posterior circulation territories. A negative association was also noted between carotid stenosis and fluid intelligence (standardized beta coefficient = −0.151, p = 0.001), which appeared partly (approximately 22%) mediated by carotid stenosis‐related thinning of the cerebral cortex. Interpretation The findings suggest that carotid stenosis represents a marker of processes that accelerate aging of the cerebral cortex and cognition that is in part independent of measurable VRFs. Cortical thinning within the anterior and posterior circulation territories partially mediated the relationship between carotid atheroma and fluid intelligence. Ann Neurol 2018;84:576–587
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- 2018
36. The genetic architecture of the human cerebral cortex
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Grasby, Katrina L., Jahanshad, Neda, Painter, Jodie N., Colodro-Conde, Lucia, Bralten, Janita, Hibar, Derrek P., Lind, Penelope A., Pizzagalli, Fabrizio, Ching, Christopher R. K., McMahon, Mary Agnes B., Shatokhina, Natalia, Zsembik, Leo C. P., Thomopoulos, Sophia I., Zhu, Alyssa H., Strike, Lachlan T., Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A. A., Alnaes, Dag, Amlien, Inge K., Andersson, Micael, Ard, Tyler, Armstrong, Nicola J., Ashley-Koch, Allison, Atkins, Joshua R., Bernard, Manon, Brouwer, Rachel M., Buimer, Elizabeth E. L., Bulow, Robin, Burger, Christian, Cannon, Dara M., Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W., Couvy-Duchesne, Baptiste, Dale, Anders M., Dalvie, Shareefa, de Araujo, Tania K., de Zubicaray, Greig I., de Zwarte, Sonja M. C., 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., Kramer, 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 C. V., Muhleisen, Thomas W., Mueller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Loohuis, Loes M. Olde, Orfanos, Dimitri Papadopoulos, Pearson, John F., Pitcher, Toni L., Putz, Benno, Quide, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M., Reay, William R., Redlich, Ronny, Reinbold, Celine S., Repple, Jonathan, Richard, Genevieve, Riedel, Brandalyn C., Risacher, Shannon L., Rocha, Cristiane S., Mota, Nina R., 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, Sonderby, Ida E., Sprooten, Emma, Tansey, Katherine E., Teumer, Alexander, Thalamuthu, Anbupalam, Tordesillas-Gutierrez, Diana, Turner, Jessica A., Uhlmann, Anne, Vallerga, Costanza L., van der Meer, Dennis, van Donkelaar, Marjolein M. J., van Eijk, Liza, van Erp, Theo G. M., van Haren, Neeltje E. M., van Rooij, Daan, van Tol, Marie-Jose, 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., Hausler, Alexander N., Heindel, Walter, Ho, Beng-Choon, Hoffmann, Wolfgang U., Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R., Jr., Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A., Kolskar, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O., Luykx, Jurjen J., Mathalon, Daniel H., Mather, Karen A., Mattay, Venkata S., Matthews, Sarah, Van Son, Jaqueline Mayoral, McEwen, Sarah C., Melle, Ingrid, Morris, Derek W., Mueller, Bryon A., Nauck, Matthias, Nordvik, Jan E., Noethen, Markus M., O'Leary, Daniel S., Opel, Nils, Martinot, Marie-Laure Paillere, Pike, G. Bruce, Preda, Adrian, Quinlan, Erin B., Rasser, Paul E., Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M., Tooney, Paul A., Torres, Fabio R., Veltman, Dick J., Voyvodic, James T., Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H. H., Bis, Joshua C., Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Ikram, M. Arfan, Launer, Lenore, Longstreth, W. T., Lopez, Oscar L., Mazoyer, Bernard, Mosley, Thomas H., Roshchupkin, Gennady V., Satizabal, Claudia L., Schmidt, Reinhold, Seshadri, Sudha, Yang, Qiong, Alvim, Marina K. M., 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 J. C., Deary, Ian J., Delanty, Norman, Depondt, Chantal, Desrivieres, Sylvane, Donohoe, Gary, Espeseth, Thomas, Fernandez, Guillen, Fisher, Simon E., Flor, Herta, Forstner, Andreas J., Francks, Clyde, Franke, Barbara, Glahn, David C., Gollub, Randy L., Grabe, Hans J., Gruber, Oliver, Haberg, Asta K., Hariri, Ahmad R., Hartman, Catharina A., Hashimoto, Ryota, Heinz, Andreas, Henskens, Frans A., Hillegers, Manon H. J., Hoekstra, Pieter J., Holmes, Avram J., Hong, L. Elliot, Hopkins, William D., Pol, Hilleke E. Hulshoff, Jernigan, Terry L., Jonsson, Erik G., Kahn, Rene S., Kennedy, Martin A., Kircher, Tilo T. J., Kochunov, Peter, Kwok, John B. J., 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 W. J. H., Polderman, Tinca J. C., Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L., Rowland, Laura M., Sachdev, Perminder S., Samann, 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 J. A., van't Ent, Dennis, Volzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R., Wright, Margaret J., Zhou, Juan, Stein, Jason L., Thompson, Paul M., Medland, Sarah E., Grasby, Katrina L., Jahanshad, Neda, Painter, Jodie N., Colodro-Conde, Lucia, Bralten, Janita, Hibar, Derrek P., Lind, Penelope A., Pizzagalli, Fabrizio, Ching, Christopher R. K., McMahon, Mary Agnes B., Shatokhina, Natalia, Zsembik, Leo C. P., Thomopoulos, Sophia I., Zhu, Alyssa H., Strike, Lachlan T., Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A. A., Alnaes, Dag, Amlien, Inge K., Andersson, Micael, Ard, Tyler, Armstrong, Nicola J., Ashley-Koch, Allison, Atkins, Joshua R., Bernard, Manon, Brouwer, Rachel M., Buimer, Elizabeth E. L., Bulow, Robin, Burger, Christian, Cannon, Dara M., Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W., Couvy-Duchesne, Baptiste, Dale, Anders M., Dalvie, Shareefa, de Araujo, Tania K., de Zubicaray, Greig I., de Zwarte, Sonja M. C., 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., Kramer, 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 C. V., Muhleisen, Thomas W., Mueller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Loohuis, Loes M. Olde, Orfanos, Dimitri Papadopoulos, Pearson, John F., Pitcher, Toni L., Putz, Benno, Quide, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M., Reay, William R., Redlich, Ronny, Reinbold, Celine S., Repple, Jonathan, Richard, Genevieve, Riedel, Brandalyn C., Risacher, Shannon L., Rocha, Cristiane S., Mota, Nina R., 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, Sonderby, Ida E., Sprooten, Emma, Tansey, Katherine E., Teumer, Alexander, Thalamuthu, Anbupalam, Tordesillas-Gutierrez, Diana, Turner, Jessica A., Uhlmann, Anne, Vallerga, Costanza L., van der Meer, Dennis, van Donkelaar, Marjolein M. J., van Eijk, Liza, van Erp, Theo G. M., van Haren, Neeltje E. M., van Rooij, Daan, van Tol, Marie-Jose, 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., Hausler, Alexander N., Heindel, Walter, Ho, Beng-Choon, Hoffmann, Wolfgang U., Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R., Jr., Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A., Kolskar, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O., Luykx, Jurjen J., Mathalon, Daniel H., Mather, Karen A., Mattay, Venkata S., Matthews, Sarah, Van Son, Jaqueline Mayoral, McEwen, Sarah C., Melle, Ingrid, Morris, Derek W., Mueller, Bryon A., Nauck, Matthias, Nordvik, Jan E., Noethen, Markus M., O'Leary, Daniel S., Opel, Nils, Martinot, Marie-Laure Paillere, Pike, G. Bruce, Preda, Adrian, Quinlan, Erin B., Rasser, Paul E., Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M., Tooney, Paul A., Torres, Fabio R., Veltman, Dick J., Voyvodic, James T., Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H. H., Bis, Joshua C., Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Ikram, M. Arfan, Launer, Lenore, Longstreth, W. T., Lopez, Oscar L., Mazoyer, Bernard, Mosley, Thomas H., Roshchupkin, Gennady V., Satizabal, Claudia L., Schmidt, Reinhold, Seshadri, Sudha, Yang, Qiong, Alvim, Marina K. M., 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 J. C., Deary, Ian J., Delanty, Norman, Depondt, Chantal, Desrivieres, Sylvane, Donohoe, Gary, Espeseth, Thomas, Fernandez, Guillen, Fisher, Simon E., Flor, Herta, Forstner, Andreas J., Francks, Clyde, Franke, Barbara, Glahn, David C., Gollub, Randy L., Grabe, Hans J., Gruber, Oliver, Haberg, Asta K., Hariri, Ahmad R., Hartman, Catharina A., Hashimoto, Ryota, Heinz, Andreas, Henskens, Frans A., Hillegers, Manon H. J., Hoekstra, Pieter J., Holmes, Avram J., Hong, L. Elliot, Hopkins, William D., Pol, Hilleke E. Hulshoff, Jernigan, Terry L., Jonsson, Erik G., Kahn, Rene S., Kennedy, Martin A., Kircher, Tilo T. J., Kochunov, Peter, Kwok, John B. J., 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 W. J. H., Polderman, Tinca J. C., Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L., Rowland, Laura M., Sachdev, Perminder S., Samann, 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 J. A., van't Ent, Dennis, Volzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R., Wright, Margaret J., Zhou, Juan, Stein, Jason L., Thompson, Paul M., and Medland, Sarah E.
- Abstract
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.
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- 2020
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37. Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician–patient interaction
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Benrimoh, David, primary, Tanguay-Sela, Myriam, additional, Perlman, Kelly, additional, Israel, Sonia, additional, Mehltretter, Joseph, additional, Armstrong, Caitrin, additional, Fratila, Robert, additional, Parikh, Sagar V., additional, Karp, Jordan F., additional, Heller, Katherine, additional, Vahia, Ipsit V., additional, Blumberger, Daniel M., additional, Karama, Sherif, additional, Vigod, Simone N., additional, Myhr, Gail, additional, Martins, Ruben, additional, Rollins, Colleen, additional, Popescu, Christina, additional, Lundrigan, Eryn, additional, Snook, Emily, additional, Wakid, Marina, additional, Williams, Jérôme, additional, Soufi, Ghassen, additional, Perez, Tamara, additional, Tunteng, Jingla-Fri, additional, Rosenfeld, Katherine, additional, Miresco, Marc, additional, Turecki, Gustavo, additional, Gomez Cardona, Liliana, additional, Linnaranta, Outi, additional, and Margolese, Howard C., additional
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- 2021
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38. Cumulative exposure to ADHD medication is inversely related to hippocampus subregional volume in children
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Fotopoulos, Nellie H., primary, Devenyi, Gabriel A., additional, Guay, Stephanie, additional, Sengupta, Sarojini M., additional, Chakravarty, M. Mallar, additional, Grizenko, Natalie, additional, Karama, Sherif, additional, and Joober, Ridha, additional
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- 2021
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39. Evaluating the Usability and Impact of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment
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Tanguay-Sela, Myriam, primary, Benrimoh, David, additional, Perlman, Kelly, additional, Israel, Sonia, additional, Mehltretter, Joseph, additional, Armstrong, Caitrin, additional, Fratila, Robert, additional, Parikh, Sagar, additional, Karp, Jordan, additional, Heller, Katherine, additional, Vahia, Ipsit, additional, Blumberger, Daniel, additional, Karama, Sherif, additional, Vigod, Simone, additional, Myhr, Gail, additional, Martins, Ruben, additional, Rollins, Colleen, additional, Popescu, Christina, additional, Lundrigan, Eryn, additional, Snook, Emily, additional, Wakid, Marina, additional, Williams, Jérôme, additional, Soufi, Ghassen, additional, Perez, Tamara, additional, Tunteng, Jingla-Fri, additional, Rosenfeld, Katherine, additional, Miresco, Marc, additional, Turecki, Gustavo, additional, Gomez-Cardona, Liliana, additional, Mantere, Outi, additional, and Margolese, Howard, additional
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- 2020
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40. Measuring and Estimating the Effect Size of Rare Non-Recurrent Deletions and Duplications on General Intelligence
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Huguet, Guillaume, primary, Schramm, Catherine, additional, Douard, Elise, additional, Louis, Martineau Jean, additional, Schumann, Gunter, additional, Glahn, David, additional, Almasy, Laura, additional, Bourgeron, Thomas, additional, Pausova, Zdenka, additional, Karama, Sherif, additional, Labbe, Aurélie, additional, Paus, Tomas, additional, Greenwood, Celia, additional, Deary, Ian, additional, and Jacquemont, Sebastien, additional
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- 2020
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41. Paradoxical Effects of Paternal Anxiety and Depression on Child Cognition and Behaviour
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Caccese, Christina, primary, Lew, Jimin, additional, Jones, Sherri Lee, additional, Nguyen, Tu Anh, additional, Rompotinos, Denis, additional, Wu, Mia, additional, Serra-Poirier, Catherine, additional, Le Gallais, Judith, additional, Sylvain-Roy, Stéphanie, additional, Fayyazi, Laya, additional, Trasler, Jacquetta, additional, Karama, Sherif, additional, Herba, Catherine, additional, Zelkowitz, Phyllis, additional, Da Costa, Deborah, additional, Brossard-Racine, Marie, additional, Fraser, William, additional, Monnier, Patricia, additional, Parent, Sophie, additional, Seguin, Jean, additional, and Nguyen, Tuong-Vi, additional
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- 2020
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42. Developmental Risks of Paternal Age in the Context of Adrenarche
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Lew, Jimin, primary, Caccese, Christina, additional, Jones, Sherri Lee, additional, Nguyen, Tu Anh, additional, Rompotinos, Denis, additional, Wu, Mia, additional, Poirier, Catherine Serra, additional, Le Gallais, Judith, additional, Sylvain-Roy, Stéphanie, additional, Fayyazi, Laya, additional, Brossard-Racine, Marie, additional, Karama, Sherif, additional, Herba, Catherine, additional, Parent, Sophie, additional, Da Costa, Deborah, additional, Zelkowitz, Phyllis, additional, Fraser, William, additional, Monnier, Patricia, additional, Trasler, Jacquetta, additional, Seguin, Jean R., additional, and Nguyen, Tuong-Vi, additional
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- 2020
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43. Genome wide analysis of gene dosage in 24,092 individuals shows that 10,000 genes modulate cognitive ability
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Huguet, Guillaume, primary, Schramm, Catherine, additional, Douard, Elise, additional, Petra, Tamer, additional, Main, Antoine, additional, Monin, Pauline, additional, England, Jade, additional, Jizi, Khadije, additional, Renne, Thomas, additional, Poirier, Myriam, additional, Nowak, Sabrina, additional, Martin, Charles-Olivier, additional, Younis, Nadine, additional, Knoth, Inga Sophia, additional, Jean-Louis, Martineau, additional, Saci, Zohra, additional, Auger, Maude, additional, Tihy, Frédérique, additional, Mathonnet, Géraldine, additional, Maftei, Catalina, additional, Léveillé, France, additional, Porteous, David, additional, Davies, Gail, additional, Redmond, Paul, additional, Harris, Sarah E., additional, Hill, W. David, additional, Lemyre, Emmanuelle, additional, Schumann, Gunter, additional, Bourgeron, Thomas, additional, Pausova, Zdenka, additional, Paus, Tomas, additional, Karama, Sherif, additional, Lippe, Sarah, additional, Deary, Ian J., additional, Almasy, Laura, additional, Labbe, Aurélie, additional, Glahn, David, additional, Greenwood, Celia M.T., additional, and Jacquemont, Sébastien, additional
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- 2020
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44. Using a Simulation Centre to Evaluate the Effect of anArtificial Intelligence-Powered Clinical Decision Support System for Depression Treatment on the Physician-Patient Interaction
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Benrimoh, David, primary, Tanguay-Sela, Myriam, additional, Perlman, Kelly, additional, Israel, Sonia, additional, Mehltretter, Joseph, additional, Armstrong, Caitrin, additional, Fratila, Robert, additional, Parikh, Sagar V., additional, Karp, Jordan F., additional, Heller, Katherine, additional, Vahia, Ipsit V., additional, Blumberger, Daniel M., additional, Karama, Sherif, additional, Vigod, Simone, additional, Myhr, Gail, additional, Martins, Ruben, additional, Rollins, Colleen, additional, Popescu, Christina, additional, Lundrigan, Eryn, additional, Snook, Emily, additional, Wakid, Marina, additional, Williams, Jérôme, additional, Soufi, Ghassen, additional, Perez, Tamara, additional, Tunteng, Jingla-Fri, additional, Rosenfeld, Katherine, additional, Miresco, Marc, additional, Turecki, Gustavo, additional, Cardona, Liliana Gomez, additional, Linnaranta, Outi, additional, and Margolese, Howard C., additional
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- 2020
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45. Cortical surface area variations within the dorsolateral prefrontal cortex are better predictors of future cognitive performance than fluid ability and working memory
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Román González, Francisco Javier, Jaeggi, Susanne M., Martínez Rodríguez, Kenia, Privado Zamorano, Jesús, Lewis, Lindsay B., Chen, Chi-Hua, Escorial Martín, Sergio, Kremen, William S., Karama, Sherif, and Colom Marañón, Roberto
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cognición ,características individuales ,cerebro ,predicción - Abstract
Resumen tomado de la publicación Las variaciones de superficie cortical en la corteza dorsolateral prefrontal predicen mejor el futuro desempeño cognitivo que la inteligencia fluida y la memoria operativa. Antecedentes: ¿Predicen las variables cognitivas y biológicas el futuro desempeño cognitivo? Método: en dos grupos independientes de participantes se miden variables cognitivas (inteligencia fluida y cristalizada, memoria operativa y control atencional) y biológicas (grosor y superficie cortical) en dos ocasiones separadas por seis meses, para predecir el desempeño en la tarea n-back valorado doce y dieciocho meses después. Se completan tres etapas: descubrimiento, validación y generalización. En la de descubrimiento se valoran en un grupo de individuos las variables cognitivas/biológicas y el desempeño a predecir. En la de validación, se relacionan las mismas variables con una versión paralela de la n-back completada meses después. En la de generalización, los resultados de la validación se replican en un grupo independiente de individuos. Resultados: las variaciones de superficie cortical en la corteza dorsolateral prefrontal derecha predicen el desempeño cognitivo en los dos grupos independientes de individuos, mientras que las variables cognitivas no contribuyen a la predicción del desempeño futuro. Conclusiones: las diferencias individuales en determinadas variables biológicas predicen el desempeño cognitivo mejor que las variables cognitivas que correlacionan concurrentemente con ese desempeño. Universidad de Oviedo. Biblioteca de Psicología; Plaza Feijoo, s/n.; 33003 Oviedo; Tel. +34985104146; Fax +34985104126; buopsico@uniovi.es ESP
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- 2019
46. Cortical surface area variations within the dorsolateral prefrontal cortex are better predictors of future cognitive performance than fluid ability and working memory
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Román, Francisco J, Jaeggi, Susanne M, Martínez, Kenia, Privado, Jesús, Lewis, Lindsay B, Chen, Chi-Hua, Escorial, Sergio, Kremen, William S, Karama, Sherif, Colom, Roberto, and UAM. Departamento de Psicología Biológica y de la Salud
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neuropredicción ,cognición ,neurodiversidad ,Psicología - Abstract
Are cognitive and biological variables useful for predicting future behavioral outcomes? Method: In two independent groups, we measured a set of cognitive (fluid and crystallized intelligence, working memory, and attention control) and biological (cortical thickness and cortical surface area) variables on two occasions separated by six months, to predict behavioral outcomes of interest (performance on an adaptive version of the n-back task) measured twelve and eighteen months later. We followed three stages: discovery, validation, and generalization. In the discovery stage, cognitive/biological variables and the behavioral outcome of interest were assessed in a group of individuals (in-sample). In the validation stage, the cognitive and biological variables were related with a parallel version of the behavioral outcome assessed several months later. In the generalization stage, the validation findings were tested in an independent group of individuals (out-of-sample). Results: The key fi nding revealed that cortical surface area variations within the right dorsolateral prefrontal cortex predict the behavioral outcome of interest in both groups, whereas the cognitive variables failed to show reliable predictive validity. Conclusions: Individual differences in biological variables might predict future behavioral outcomes better than cognitive variables concurrently correlated with these behavioral outcomes, Antecedentes: ¿Predicen las variables cognitivas y biológicas el futuro desempeño cognitivo? Método: en dos grupos independientes de participantes se miden variables cognitivas (inteligencia fluida y cristalizada, memoria operativa y control atencional) y biológicas (grosor y superficie cortical) en dos ocasiones separadas por seis meses, para predecir el desempeño en la tarea n-back valorado doce y dieciocho meses después. Se completan tres etapas: descubrimiento, validación y generalización. En la de descubrimiento se valoran en un grupo de individuos las variables cognitivas/biológicas y el desempeño a predecir. En la de validación, se relacionan las mismas variables con una versión paralela de la n-back completada meses después. En la de generalización, los resultados de la validación se replican en un grupo independiente de individuos. Resultados: las variaciones de superficie cortical en la corteza dorsolateral prefrontal derecha predicen el desempeño cognitivo en los dos grupos independientes de individuos, mientras que las variables cognitivas no contribuyen a la predicción del desempeño futuro. Conclusiones: las diferencias individuales en determinadas variables biológicas predicen el desempeño cognitivo mejor que las variables cognitivas que correlacionan concurrentemente con ese desempeño, This project was supported by PSI2017-82218-P (Ministerio de Economía, Industria y Competitividad, Spain)
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- 2019
47. The association between carotid atheroma and cerebral cortex structure at age 73
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Alhusaini, Saud, Karama, Sherif, Nguyen, Tuong-Vi, Thiel, Alexander, Bernhardt, Boris, Cox, Simon, Corley, Janie, Taylor, Adele, Evans, Alan C., Starr, John, Bastin, Mark, Wardlaw, Joanna, Deary, Ian, and Ducharme, Simon
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cardiovascular system ,cardiovascular diseases - Abstract
Objective:To examine the relationship between carotid atherosclerosis and cerebral cortical thickness and investigate whether cortical thickness mediates the relationship between carotid atheroma and relative cognitive decline. Methods:We assessed 554 community-dwelling subjects (male/female: 296/258) from the Lothian Birth Cohort 1936 (LBC1936) who underwent brain MRI and carotid Doppler ultrasound studies at age 73 years. The relationship between carotid atherosclerosis markers (internal carotid artery stenosis, intima-media thickness, velocity, pulsatility, and resistivity indexes) and vertex-wide cerebral cortical thickness was examined cross-sectionally, controlling for gender, extensive vascular risk factors (VRFs), and IQ at age 11 (IQ-11). We also determined the association between carotid stenosis and a composite measure of fluid intelligence at age 73. A mediation model was applied to examine whether cortical thickness mediated the relationship between carotid stenosis and cognitive function. Results:A widespread negative association was identified between carotid stenosis (median = 15%) and cerebral cortical thickness at age 73 years, independent of the side of carotid stenosis, other carotid measures, VRFs, and IQ-11. This association increased in an almost dose-response relationship from mild to severe degrees of carotid stenosis, across the anterior and posterior circulation territories. A negative association was also noted between carotid stenosis and fluid intelligence (standardized beta coefficient = - 0·151, p = 0·001), which appeared partly (approximately 22%) mediated by carotid stenosis-related thinning of the cerebral cortex. Interpretation:The findings suggest that carotid stenosis represents a marker of processes that accelerate aging of the cerebral cortex and cognition that is in part independent of measurable VRFs. Cortical thinning within the anterior and posterior circulation territories partially mediated the relationship between carotid atheroma and fluid intelligence.
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- 2018
48. Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium
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Hofer, Edith, Roshchupkin, Gennady V., Adams, Hieab H. H., Knol, Maria J., Lin, Honghuang, Li, Shuo, Zare, Habil, Ahmad, Shahzad, Armstrong, Nicola J., Satizabal, Claudia L., Bernard, Manon, Bis, Joshua C., Gillespie, Nathan A., Luciano, Michelle, Mishra, Aniket, Scholz, Markus, Teumer, Alexander, Xia, Rui, Jian, Xueqiu, Mosley, Thomas H., Saba, Yasaman, Pirpamer, Lukas, Seiler, Stephan, Becker, James T., Carmichael, Owen, Rotter, Jerome I., Psaty, Bruce M., Lopez, Oscar L., Amin, Najaf, van der Lee, Sven J., Yang, Qiong, Himali, Jayandra J., Maillard, Pauline, Beiser, Alexa S., DeCarli, Charles, Karama, Sherif, Lewis, Lindsay, Harris, Mat, Bastin, Mark E., Deary, Ian J., Witte, A.Veronica, Beyer, Frauke, Loeffler, Markus, Mather, Karen A., Schofield, Peter R., Thalamuthu, Anbupalam, Kwok, John B., Wright, Margaret J., Ames, David, Trollor, Julian, Jiang, Jiyang, Brodaty, Henry, Wen, Wei, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G., Niessen, Wiro J., Wittfeld, Katharina, Bülow, Robin, Völker, Uwe, Pausova, Zdenka, Pike, G. Bruce, Maingault, Sophie, Crivello, Fabrice, Tzourio, Christophe, Amouye, Philippe, Mazoyer, Bernard, Neale, Michael C., Franz, Carol E., Lyons, Michael J., Panizzon, Matthew S., Andreassen, Ole A., Dale, Anders M., Logue, Mark, Grasby, Katrina L., Jahanshad, Neda, Painter, Jodie N., Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P., Lind, Penelope A., Pizzagalli, Fabrizio, Stein, Jason L., Thompson, Paul M., Medland, Sarah E., Ching Christopher, R.K., McMahon Mary Agnes, B., Shatokhina, Natalia, Zsembik, Leo C.P., Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A.A., Alnæs, Dag, Amlien, Inge K., Andersson, Micael, Ard, Tyler, Ashley-Koch, Allison, Brouwer, Rachel M., Buimer, Elizabeth E.L., Bürger, Christian, Cannon, Dara M., Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W., Couvy-Duchesne, Baptiste, Dalvie, Shareefa, de Araujo, Tânia K., de Zubicaray, Greig I., de Zwarte, Sonja M.C., Braber, Anouk den, 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., 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, 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, Macciardi, Fabio, Marquand, Andre F., Mathias, Samuel R., Melzer, Tracy R., Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Moreira, Jose C.V., 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, Ragothaman, Anjanibhargavi, Rashid, Faisal M., Ronny, Redlich, 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, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E., Sprooten, Emma, Strike, Lachlan T., Tansey, Katherine E., Thomopoulos, Sophia I., Tordesillas-Gutiérrez, Diana, Turner, Jessica A., Uhlmann, Anne, Vallerga, Costanza Ludovica, der Meer, Dennis van, van Donkelaar, Marjolein M.J., Eijk, Liza van, van Erp, Theo G.M., van Haren, Neeltje E.M., Rooij, Daan van, van Tol, Marie-José, Veldink, Jan H., Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Wang, Yunpeng, Wardlaw, Joanna M., Westlye, Lars T., Whelan, Christopher D., Witt, Stephanie H., Wolf, Christiane, Wolfers, Thomas, Yasuda, Clarissa L., Zaremba, Dario, Zhang, Zuo, Zhu, Alyssa H., 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, 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 Jr., Clifford R., Jang, MiHyun, Jansen, Andreas, Kolskår, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O., Luykx, Jurjen J., Mathalon, Daniel H., Mattay, Venkata S., Matthews, Sarah, Van Son, Jaqueline Mayoral, 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, Paillère Martinot, Marie-Laure, Preda, Adrian, Quinlan, Erin B., Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M., Torres, Fábio R., Veltman, Dick J., Voyvodic, James T., Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Alvim, Marina K.M., Anderson, Tim J., Arias-Vasquez, Alejandro, Baune, Bernhard T., Blangero, John, Boomsma, Dorret I., Brunner, Han G., Buckner, Randy L., Buitelaar, Jan K., Bustillo, Juan R., Cahn, Wiepke, Calhoun, Vince, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L., Cendes, Fernando, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C., Dannlowski, Udo, de Geus, Eco J.C., 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, Hillegers, Manon H.J., 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 T.J., Kochunov, Peter, Kwok, John B.J., Hellard, Stephanie Le, Martin, Nicholas G., Martinot, Jean - Luc, McDonald, Colm, McMahon, Katie L., Meyer-Lindenberg, Andreas, Morey, Rajendra A., Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A., Paus, Tomáš, Penninx, Brenda W.J.H., Polderman, Tinca J.C., Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L., Rowland, Laura M., Sachdev, Perminder S., Sämann, Philipp G., Schumann, Gunter, Sim, Kang, Sisodiya, Sanjay M., Smoller, Jordan W., Sommer, Iris E., Pourcain, Beate St, Stein, Dan J., Toga, Arthur W., Trollor, Julian N., Van der Wee, Nic J.A., Ent, Dennis van’t, Völzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R., Zhou, Juan, Kremen, William S., Villringer, Arno, Duijn, Cornelia M. van, Jörgen Grabe, Hans, Longstreth Jr, William T., Fornage, Myriam, Paus, Tomas, Debette, Stephanie, Ikram, M. Arfan, Schmidt, Helena, Schmidt, Reinhold, Seshadri, Sudha, and ENIGMA consortium
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0303 health sciences ,biology ,Genetic heterogeneity ,Cognition ,Hindbrain ,Disease ,Heritability ,Biobank ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Evolutionary biology ,Cortex (anatomy) ,biology.protein ,medicine ,Sonic hedgehog ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
Cortical thickness, surface area and volumes (MRI cortical measures) vary with age and cognitive function, and in neurological and psychiatric diseases. We examined heritability, genetic correlations and genome-wide associations of cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprised 22,822 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the United Kingdom Biobank. Significant associations were replicated in the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium, and their biological implications explored using bioinformatic annotation and pathway analyses. We identified genetic heterogeneity between cortical measures and brain regions, and 161 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There was enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.
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- 2018
49. Planar cell polarity pathway and development of the human visual cortex
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Shin, Jean, Ma, Shaojie, Hofer, Edith, Patel, Yash, Roshchupkin, Gennady V., Sousa, André M., Jian, Xueqiu, Gottesman, Rebecca, Mosley, Thomas H., Fornage, Myriam, Saba, Yasaman, Pirpamer, Lukas, Schmidt, Reinhold, Schmidt, Helena, Carrion-Castillo, Amaia, Crivello, Fabrice, Mazoyer, Bernard, Bis, Joshua C., Li, Shuo, Yang, Qiong, Luciano, Michelle, Karama, Sherif, Lewis, Lindsay, Bastin, Mark, Harris, Mathew A., Wardlaw, Joanna M., Deary, Ian E., Scholz, Markus, Loeffler, Markus, Witte, Veronica, Beyer, Frauke, Villringer, Arno, Armstrong, Nicola J, Mather, Karen A., Ames, David, Jiang, Jiyang, Kwok, John B, Schofield, Peter R., Thalamuthu, Anbupalam, Trollor, Julian N., Wright, Margaret J., Brodaty, Henry, Wen, Wei, Sachdev, Perminder S., Terzikhan, Natalie, Evans, Tavia E., Adams, Hieab H.H.H., Ikram, M. Arfan, Frenzel, Stefan, van der Auwera-Palitschka, Sandra, Wittfeld, Katharina, Bülow, Robin, Grabe, Hans Jörgen, Tzourio, Christophe, Mishra, Aniket, Maingault, Sophie, Debette, Stephanie, Gillespie, Nathan A., Franz, Carol E., Kremen, William S., Ding, Linda, Jahanshad, Neda, Sestan, Nenad, Pausova, Zdenka, Seshadri, Sudha, Paus, Tomas, Grasby, Katrina L., Painter, Jodie N., Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P., Lind, Penelope A., Pizzagalli, Fabrizio, Ching, Christopher R.K., McMahon, Mary Agnes B., Shatokhina, Natalia, Zsembik, Leo, Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A.A., Alnæs, Dag, Amlien, Inge K., Andersson, Micael, Ard, Tyler, Armstrong, Nicola J., Ashley-Koch, Allison, Bernard, Manon, Brouwer, Rachel M., Buimer, Elizabeth E.L., Bürger, Christian, Cannon, Dara M., Chakravarty, Mallasr, Chen, Qiang, Cheung, Joshua W., Couvy-Duchesne, Baptiste, Dale, Anders M., Dalvie, Shareefa, de Araujo, Tânia K., de Zubicaray, Greig I., de Zwarte, Sonja M.C., Braber, Anouk den, 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., Groenewold, Nynke A., Grotegerd, Dominik, Gurholt, Tiril P., Gutman, Boris A., Hansell, Narelle K., Harrison, Marc B., Haswell, Courtney C., Hauser, Michael, Heslenfeld, Dirk J., Hoehn, David, Holleran, Laurena, Hoogman, Martine, Hottenga, Jouke-Jan, Ikeda, Masashi, Janowitz, Deborah, Jansen, Iris E., Jia, Tianye, Jockwitz, Christiane, Kanai, Ryota, Kasperaviciute, Dalia, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Klein, Marieke, Knapp, Michael, Knodt, Annchen R., Krämer, Bernd, Lancaster, Thomas M., Lee, Phil H., Lett, Tristram A., Lewis, Lindsay B., Lopes-Cendes, Iscia, Macciardi, Fabio, Marquand, Andre F., Mathias, Samuel R., Melzer, Tracy R., Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Moreira, Jose C.V., 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, Ragothaman, Anjanibhargavi, Rashid, Faisal M., 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, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shumskaya, Elena, Sønderby, Ida E., Sprooten, Emma, Strike, Lachlan T., Tansey, Katherine E., Teumer, Alexander, Thomopoulos, Sophia I., Tordesillas-Gutiérrez, Diana, Turner, Jessica A., Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, van Donkelaar, Marjolein M.J., van Eijk, Liza, van Erp, Theo G.M., van Haren, Neeltje E.M., van Rooij, Daan, van Tol, Marie-José, Veldink, Jan H., Verhoef, Ellen, Walton, Esther, Wang, Yunpeng, Westlye, Lars T., Whelan, Christopher D., Witt, Stephanie H., Wolf, Christiane, Wolfers, Thomas, Yasuda, Clarissa L., Zaremba, Dario, Zhang, Zuo, Zhu, Alyssa H., 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, 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 Jr., Clifford R., Jang, MiHyun, Jansen, Andreas, Kolskår, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O., Luykx, Jurjen J., Mathalon, Daniel H., Mattay, Venkata S., Matthews, Sarah, Van Son, Jaqueline Mayoral, 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., Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M., Torres, Fábio R., Veltman, Dick J., Voyvodic, James T., Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Alvim, Marina K.M., Anderson, Tim J., Andreassen, Ole A., Arias-Vasquez, Alejandro, Bastin, Mark E., Baune, Bernhard T., Blangero, John, Boomsma, Dorret I., Brunner, Han G., Buckner, Randy L., Buitelaar, Jan K., Bustillo, Juan R., Cahn, Wiepke, Calhoun, Vince, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L., Cendes, Fernando, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C., Dannlowski, Udo, de Geus, Eco J.C., 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, Hillegers, Manon H.J., 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 T.J., Kochunov, Peter, Kwok, John B.J., Le Hellard, Stephanie, Martin, Nicholas G., Martinot, Jean - Luc, McDonald, Colm, McMahon, Katie L., Meyer-Lindenberg, Andreas, Morey, Rajendra A., Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A., Penninx, Brenda W.J.H., Polderman, Tinca J.C., Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L., Rowland, Laura M., Sämann, Philipp G., Schumann, Gunter, Sim, Kang, Sisodiya, Sanjay M., Smoller, Jordan W., Sommer, Iris E., St Pourcain, Beate, Stein, Dan J., Toga, Arthur W., Van der Wee, Nic J.A., van’t Ent, Dennis, Völzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R., Zhou, Juan, Stein, Jason L., Thompson, Paul M., Medland, Sarah E., ENIGMA Consortium, and neuroCHARGE Working Group
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0303 health sciences ,DAAM1 ,Locus (genetics) ,Single-nucleotide polymorphism ,Biology ,Lateral geniculate nucleus ,Phenotype ,Chromosome 17 (human) ,03 medical and health sciences ,0302 clinical medicine ,Visual cortex ,medicine.anatomical_structure ,Cerebral cortex ,medicine ,Neuroscience ,030217 neurology & neurosurgery ,030304 developmental biology - Abstract
The radial unit hypothesis provides a framework for global (proliferation) and regional (distribution) expansion of the primate cerebral cortex. Using principal component analysis (PCA), we have identified cortical regions with shared variance in their surface area and cortical thickness, respectively, segmented from magnetic resonance images obtained in 23,800 participants. We then carried out meta-analyses of genome-wide association studies of the first two principal components for each phenotype. For surface area (but not cortical thickness), we have detected strong associations between each of the components and single nucleotide polymorphisms in a number of gene loci. The first (global) component was associated mainly with loci on chromosome 17 (9.5e-32 ≤ p ≤ 2.8e-10), including those detected previously as linked with intracranial volume and/or general cognitive function. The second (regional) component captured shared variation in the surface area of the primary and adjacent secondary visual cortices and showed a robust association with polymorphisms in a locus on chromosome 14 containing Disheveled Associated Activator of Morphogenesis 1 (DAAM1; p=2.4e-34). DAAM1 is a key component in the planar-cell-polarity signaling pathway. In follow-up studies, we have focused on the latter finding and established that: (1) DAAM1 is highly expressed between 12th and 22nd post-conception weeks in the human cerebral cortex; (2) genes co-expressed with DAAM1 in the primary visual cortex are enriched in mitochondria-related pathways; and (3) volume of the lateral geniculate nucleus, which projects to regions of the visual cortex staining for cytochrome oxidase (a mitochondrial enzyme), correlates with the surface area of the visual cortex in major-allele homozygotes but not in carriers of the minor allele. Altogether, we speculate that, in concert with thalamocortical input to cortical subplate, DAAM1 enables migration of neurons to cytochrome-oxidase rich regions of the visual cortex, and, in turn, facilitates regional expansion of this set of cortical regions during development.
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- 2018
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50. Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume
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Ritchie, Stuart J, Dickie, David Alexander, Cox, Simon, Valdes Hernandez, Maria, Sibbett, Ruth, Pattie, Alison, Anblagan, Devasuda, Redmond, Paul, Royle, Natalie, Corley, Janie, Muñoz Maniega, Susana, Taylor, Adele, Karama, Sherif, Booth, Thomas, Gow, Alan, Starr, John, Bastin, Mark, Wardlaw, Joanna, and Deary, Ian
- Subjects
ageing ,lesion mapping ,brain volume ,white matter hyperintensities ,structural MRI - Abstract
Fully characterizing age differences in the brain is a key task for combatting ageing-related cognitive decline. Using propensity score matching on two independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age 92 years (n = 42) to very similar participants at mean age 73 (n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differences in grey and white matter volumes, cortical surface area, cortical thickness, and white matter hyperintensity volume and spatial extent. In a mediation analysis, the total volume of white matter hyperintensities and total cortical surface area jointly mediated 24.9% of the relation between age and general cognitive ability (tissue volumes and cortical thickness were not significant mediators in this analysis). These findings provide an unusual and valuable perspective on neurostructural ageing, in which brains from the eighth and tenth decades of life differ widely despite the same cognitive, socio-economic, and brain-volumetric starting points.
- Published
- 2018
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