103 results on '"Pizzagalli, F."'
Search Results
2. Accouchement normal : accompagnement de la physiologie et interventions médicales. Recommandations de la Haute Autorité de Santé (HAS) avec la collaboration du Collège National des Gynécologues Obstétriciens Français (CNGOF) et du Collège National des Sages-Femmes de France (CNSF) – Texte des recommandations (texte court)
- Author
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Petitprez, K., Guillaume, S., Mattuizzi, A., Arnal, M., Artzner, F., Bernard, C., Bonnin, M., Bouvet, L., Caron, F.-M., Chevalier, I., Daussy-Urvoy, C., Ducloy-Bouthorsc, A.-S., Garnier, J.-M., Keita-Meyer, H., Lavillonnière, J., Lejeune-Sadaa, V., Leray, C., Morandeau, A., Morau, E., Nadjafizade, M., Pizzagalli, F., Schantz, C., Schmitz, T., Shojai, R., Hédon, B., and Sentilhes, L.
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- 2020
- Full Text
- View/download PDF
3. Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group
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Medland, S.E., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J.B., Hibar, D.P., Lind, P.A., Pizzagalli, F., Thomopoulos, S.I., Stein, J.L., Franke, B., Martin, N.G., Thompson, P.M., Medland, S.E., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J.B., Hibar, D.P., Lind, P.A., Pizzagalli, F., Thomopoulos, S.I., Stein, J.L., Franke, B., Martin, N.G., and Thompson, P.M.
- Abstract
Contains fulltext : 248938.pdf (Publisher’s version ) (Open Access), Here we review the motivation for creating the enhancing neuroimaging genetics through meta-analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting "candidate gene" and genome-wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases.
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- 2022
4. Surveillance clinique en salle de naissance
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Pizzagalli, F., primary and Marpeau, L., additional
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- 2016
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5. The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity
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Maillard, A M, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Männik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, J S, Reymond, A, Draganski, B, and Jacquemont, S
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- 2015
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6. A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets
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Shishegar, R, Pizzagalli, F, Georgiou-Karistianis, N, Egan, GF, Jahanshad, N, Johnston, LA, Shishegar, R, Pizzagalli, F, Georgiou-Karistianis, N, Egan, GF, Jahanshad, N, and Johnston, LA
- Abstract
An accurate measure of the complexity of patterns of cortical folding or gyrification is necessary for understanding normal brain development and neurodevelopmental disorders. Conventional gyrification indices (GIs) are calculated based on surface curvature (curvature-based GI) or an outer hull surface of the cortex (outer surface-based GI). The latter is dependent on the definition of the outer hull surface and a corresponding function between surfaces. In the present study, we propose the Laplace Beltrami-based gyrification index (LB-GI). This is a new curvature-based local GI computed using the first three Laplace Beltrami eigenfunction level sets. As with outer surface-based GI methods, this method is based on the hypothesis that gyrification stems from a flat surface during development. However, instead of quantifying gyrification with reference to corresponding points on an outer hull surface, LB-GI quantifies the gyrification at each point on the cortical surface with reference to their surrounding gyral points, overcoming several shortcomings of existing methods. The LB-GI was applied to investigate the cortical maturation profile of the human brain from preschool to early adulthood using the PING database. The results revealed more detail in patterns of cortical folding than conventional curvature-based methods, especially on frontal and posterior tips of the brain, such as the frontal pole, lateral occipital, lateral cuneus, and lingual. Negative associations of cortical folding with age were observed at cortical regions, including bilateral lingual, lateral occipital, precentral gyrus, postcentral gyrus, and superior frontal gyrus. The results also indicated positive significant associations between age and the LB-GI of bilateral insula, the medial orbitofrontal, frontal pole and rostral anterior cingulate regions. It is anticipated that the LB-GI will be advantageous in providing further insights in the understanding of brain development and degeneration
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- 2021
7. Endogastric capsule for E-cadherin gene (CDH1) promoter hypermethylation assessment in DNA from gastric juice of diffuse gastric cancer patients
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Muretto, P., Ruzzo, A., Pizzagalli, F., Graziano, F., Maltese, P., Zingaretti, C., Berselli, E., Donnarumma, N., and Magnani, M.
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- 2008
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8. Pharmacogenetic profiling in patients with advanced colorectal cancer treated with first-line FOLFIRI chemotherapy
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Ruzzo, A, Graziano, F, Loupakis, F, Santini, D, Catalano, V, Bisonni, R, Ficarelli, R, Fontana, A, Andreoni, F, Falcone, A, Canestrari, E, Tonini, G, Mari, D, Lippe, P, Pizzagalli, F, Schiavon, G, Alessandroni, P, Giustini, L, Maltese, P, Testa, E, Menichetti, E T, and Magnani, M
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- 2008
- Full Text
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9. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults
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Hofer, E., Roshchupkin, G.V., Adams, H.H.H., Knol, M.J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N.J., Satizabal, C.L., Bernard, M., Bis, J.C., Gillespie, N.A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T.H., Saba, Y., Pirpamer, L., Seiler, S., Becker, J.T., Carmichael, O., Rotter, J.I., Psaty, B.M., Lopez, O.L., Amin, N., van der Lee, S.J., Yang, Q., Himali, J.J., Maillard, P., Beiser, A.S., DeCarli, C., Karama, S., Lewis, L., Harris, M., Bastin, M.E., Deary, I.J., Veronica Witte, A., Beyer, F., Loeffler, M., Mather, K.A., Schofield, P.R., Thalamuthu, A., Kwok, J.B., Wright, M.J., Ames, D., Trollor, J., Jiang, J., Brodaty, H., Wen, W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Niessen, W.J., Wittfeld, K., Bülow, R., Völker, U., Pausova, Z., Bruce Pike, G., Maingault, S., Crivello, F., Tzourio, C., Amouyel, P., Mazoyer, B., Neale, M.C., Franz, C.E., Lyons, M.J., Panizzon, M.S., Andreassen, O.A., Dale, A.M., Logue, M.A., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Stein, J.L., Thompson, P.M., Medland, S.E., Sachdev, P.S., Kremen, W.S., Wardlaw, J.M., Villringer, A., van Duijn, C.M., Grabe, H.J., Longstreth, W.T., Fornage, M., Paus, T., Debette, S., Arfan Ikram, M., Schmidt, H., Schmidt, R., Seshadri, S., Hofer, E., Roshchupkin, G.V., Adams, H.H.H., Knol, M.J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N.J., Satizabal, C.L., Bernard, M., Bis, J.C., Gillespie, N.A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T.H., Saba, Y., Pirpamer, L., Seiler, S., Becker, J.T., Carmichael, O., Rotter, J.I., Psaty, B.M., Lopez, O.L., Amin, N., van der Lee, S.J., Yang, Q., Himali, J.J., Maillard, P., Beiser, A.S., DeCarli, C., Karama, S., Lewis, L., Harris, M., Bastin, M.E., Deary, I.J., Veronica Witte, A., Beyer, F., Loeffler, M., Mather, K.A., Schofield, P.R., Thalamuthu, A., Kwok, J.B., Wright, M.J., Ames, D., Trollor, J., Jiang, J., Brodaty, H., Wen, W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Niessen, W.J., Wittfeld, K., Bülow, R., Völker, U., Pausova, Z., Bruce Pike, G., Maingault, S., Crivello, F., Tzourio, C., Amouyel, P., Mazoyer, B., Neale, M.C., Franz, C.E., Lyons, M.J., Panizzon, M.S., Andreassen, O.A., Dale, A.M., Logue, M.A., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Stein, J.L., Thompson, P.M., Medland, S.E., Sachdev, P.S., Kremen, W.S., Wardlaw, J.M., Villringer, A., van Duijn, C.M., Grabe, H.J., Longstreth, W.T., Fornage, M., Paus, T., Debette, S., Arfan Ikram, M., Schmidt, H., Schmidt, R., and Seshadri, S.
- 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
10. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults
- Author
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Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, Ching, CRK, Hofer, E, Roshchupkin, GV, Adams, HHH, Knol, MJ, Lin, H, Li, S, Zare, H, Ahmad, S, Armstrong, NJ, Satizabal, CL, Bernard, M, Bis, JC, Gillespie, NA, Luciano, M, Mishra, A, Scholz, M, Teumer, A, Xia, R, Jian, X, Mosley, TH, Saba, Y, Pirpamer, L, Seiler, S, Becker, JT, Carmichael, O, Rotter, JI, Psaty, BM, Lopez, OL, Amin, N, van der Lee, SJ, Yang, Q, Himali, JJ, Maillard, P, Beiser, AS, Decarli, C, Karama, S, Lewis, L, Harris, M, Bastin, ME, Deary, IJ, Witte, AV, Beyer, F, Loeffler, M, Mather, KA, Schofield, PR, Thalamuthu, A, Kwok, JB, Wright, MJ, Ames, D, Trollor, J, Jiang, J, Brodaty, H, Wen, W, Vernooij, MW, Hofman, A, Uitterlinden, AG, Niessen, WJ, Wittfeld, K, Bülow, R, Völker, U, Pausova, Z, Pike, GB, Maingault, S, Crivello, F, Tzourio, C, Amouyel, P, Mazoyer, B, Neale, MC, Franz, CE, Lyons, MJ, Panizzon, MS, Andreassen, OA, Dale, AM, Logue, M, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Stein, JL, Thompson, PM, Medland, SE, Sachdev, PS, Kremen, WS, Wardlaw, JM, Villringer, A, van Duijn, CM, Grabe, HJ, Longstreth, WT, Fornage, M, Paus, T, Debette, S, Ikram, MA, Schmidt, H, Schmidt, R, Seshadri, S, and Ching, CRK
- 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.
- Published
- 2020
11. The genetic architecture of the human cerebral cortex
- Author
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Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R., McMahon, M.A., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A. de, Alnaes, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bulow, R., Burger, C., Cannon, D.M., Chakravarty, M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., Araujo, T.K. de, Zubicaray, G.I. de, Zwarte, S.M.C. de, Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H.R., Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, Mark F., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.J., Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Kramer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Franke, B., Thompson, P.M., Medland, S.E., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R., McMahon, M.A., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A. de, Alnaes, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bulow, R., Burger, C., Cannon, D.M., Chakravarty, M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., Araujo, T.K. de, Zubicaray, G.I. de, Zwarte, S.M.C. de, Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H.R., Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, Mark F., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.J., Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Kramer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Franke, B., Thompson, P.M., and Medland, S.E.
- Abstract
Contains fulltext : 218611.pdf (Publisher’s version ) (Closed access), 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.
- Published
- 2020
12. The genetic architecture of the human cerebral cortex
- Author
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Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, Milaneschi, Y, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, and Milaneschi, Y
- 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.
- Published
- 2020
13. ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
- Author
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Thompson, P.M. (Paul), Jahanshad, N. (Neda), Ching, C.R.K. (Christopher), Salminen, L.E. (Lauren E.), Thomopoulos, S.I. (Sophia I.), Bright, J. (Joanna), Baune, B.T., Bertolín, S. (Sara), Bralten, L.B.C. (Linda), Bruin, W.B. (Willem B.), Bülow, R. (Robin), Chen, J. (Jian), Chye, Y. (Yann), Dannlowski, U. (Udo), de Kovel, C.G.F. (Carolien G F), Donohoe, D.J. (Dennis), Eyler, L.T. (Lisa T.), Faraone, S.V. (Stephen), Favre, P. (Pauline), Filippi, C.A. (Courtney A.), Frodl, T. (Thomas), Garijo, D. (Daniel), Gil, Y. (Yolanda), Grabe, H.J. (Hans Jörgen), Grasby, K.L. (Katrina L.), Hajek, T. (Tomas), Han, L.K.M. (Laura K M), Hatton, W., Hilbert, K. (Kevin), Ho, T.C. (Tiffany C.), Holleran, L. (Laurena), Homuth, G. (Georg), Hosten, N. (Norbert), Houenou, J. (Josselin), Ivanov, I. (Iliyan), Jia, T. (Tianye), Kelly, S. (Sinead), Klein, M. (Marieke), Kwon, J.S. (Jun Soo), Laansma, M.A. (Max A.), Leerssen, J. (Jeanne), Lueken, U. (Ulrike), Nunes, A. (Abraham), Neill, J.O. (Joseph O'), Opel, N. (Nils), Piras, F. (Fabrizio), Piras, F. (Federica), Postema, M.C. (Merel C.), Pozzi, E. (Elena), Shatokhina, N. (Natalia), Soriano-Mas, C. (Carles), Spalletta, G. (Gianfranco), Sun, D. (Daqiang), Teumer, A. (Alexander), Tilot, A.K. (Amanda K.), Tozzi, L. (Leonardo), van der Merwe, C. (Celia), Someren, E.J.W. (Eus) van, van Wingen, G.A. (Guido A.), Völzke, H. (Henry), Walton, E. (Esther), Wang, L. (Lei), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Wright, M.J. (Margaret), Yun, J.-Y. (Je-Yeon), Zhang, G. (Guohao), Zhang-James, Y. (Yanli), Adhikari, B.M. (Bhim M.), Agartz, I. (Ingrid), Aghajani, M. (Moji), Aleman, A. (André), Althoff, R.R. (Robert R.), Altmann, A. (A.), Andreassen, O.A. (Ole), Baron, D.A. (David A.), Bartnik-Olson, B.L. (Brenda L.), Marie Bas-Hoogendam, J. (Janna), Baskin-Sommers, A.R. (Arielle R.), Bearden, C.E. (Carrie), Berner, L.A. (Laura A.), Boedhoe, P.S.W. (Premika S W), Brouwer, R.M. (Rachel), Buitelaar, J.K. (Jan), Caeyenberghs, K. (Karen), Cecil, C.A.M. (Charlotte), Cohen, R.A. (Ronald A.), Cole, J.H. (James H.), Conrod, P. (Patricia), De Brito, S.A. (Stephane A.), de Zwarte, S.M.C. (Sonja M C), Dennis, E.L. (Emily L.), Desrivieres, S. (Sylvane), Dima, D. (Danai), Ehrlich, S.M. (Stefan), Esopenko, C. (Carrie), Fairchild, G. (Graeme), Fisher, S.E. (Simon), Fouche, J.-P. (Jean-Paul), Francks, C. (Clyde), Frangou, S. (Sophia), Franke, B. (Barbara), Garavan, H.P. (Hugh P.), Glahn, D.C. (David), Groenewold, N.A. (Nynke A.), Gurholt, T.P. (Tiril P.), Gutman, B.A. (Boris A.), Hahn, T. (Tim), Harding, I.H. (Ian H.), Hernaus, D. (Dennis), Hibar, D.P. (Derrek P.), Hillary, F.G. (Frank G.), Hoogman, M. (Martine), Hulshoff Pol, H.E. (Hilleke E.), Jalbrzikowski, M. (Maria), Karkashadze, G.A. (George A.), Klapwijk, E.T. (Eduard T.), Knickmeyer, R.C. (Rebecca C.), Kochunov, P. (Peter), Koerte, I.K. (Inga K.), Kong, X.-Z. (Xiang-Zhen), Liew, S.-L. (Sook-Lei), Lin, A.P. (Alexander P.), Logue, M.W. (Mark W.), Luders, E. (Eileen), Macciardi, F. (Fabio), Mackey, S. (Scott), Mayer, A.R. (Andrew R.), McDonald, C.R. (Carrie R.), McMahon, A.B. (Agnes B.), Medland, S.E. (Sarah), Modinos, G. (Gemma), Morey, R.A. (Rajendra A.), Mueller, S.C. (Sven C.), Mukherjee, P. (Pratik), Namazova-Baranova, L. (L.), Nir, T.M. (Talia M.), Olsen, A. (Alexander), Paschou, P. (Peristera), Pine, D.S. (Daniel S.), Pizzagalli, F. (Fabrizio), Rentería, M.E. (Miguel), Rohrer, J.D. (Jonathan D.), Sämann, P.G. (Philipp), Schmaal, L. (Lianne), Schumann, G. (Gunter), Shiroishi, M.S. (Mark S.), Sisodiya, S.M. (Sanjay), Smit, D.J.A. (Dirk J A), Sønderby, I.E. (Ida E.), Stein, D.J. (Dan J.), Stein, J.L., Tahmasian, M. (Masoud), Tate, D.F. (David F.), Turner, J. (Jessica), Heuvel, O.A. (Odile A.), Wee, N.J. (Nic) van der, van der Werf, Y.D. (Ysbrand), Erp, T.G.M. (Theo G.) van, van Haren, N.E.M. (Neeltje E M), van Rooij, D. (Daan), Van Velzen, L.S., Veer, I.M. (Ilya), Veltman, D.J. (Dick), Villalon-Reina, J.E. (Julio E.), Walter, H.J. (Henrik), Whelan, C.D. (Christopher), Wilde, E.A. (Elisabeth A.), Zarei, M. (Mojtaba), Zelman, V. (Vladimir), Thompson, P.M. (Paul), Jahanshad, N. (Neda), Ching, C.R.K. (Christopher), Salminen, L.E. (Lauren E.), Thomopoulos, S.I. (Sophia I.), Bright, J. (Joanna), Baune, B.T., Bertolín, S. (Sara), Bralten, L.B.C. (Linda), Bruin, W.B. (Willem B.), Bülow, R. (Robin), Chen, J. (Jian), Chye, Y. (Yann), Dannlowski, U. (Udo), de Kovel, C.G.F. (Carolien G F), Donohoe, D.J. (Dennis), Eyler, L.T. (Lisa T.), Faraone, S.V. (Stephen), Favre, P. (Pauline), Filippi, C.A. (Courtney A.), Frodl, T. (Thomas), Garijo, D. (Daniel), Gil, Y. (Yolanda), Grabe, H.J. (Hans Jörgen), Grasby, K.L. (Katrina L.), Hajek, T. (Tomas), Han, L.K.M. (Laura K M), Hatton, W., Hilbert, K. (Kevin), Ho, T.C. (Tiffany C.), Holleran, L. (Laurena), Homuth, G. (Georg), Hosten, N. (Norbert), Houenou, J. (Josselin), Ivanov, I. (Iliyan), Jia, T. (Tianye), Kelly, S. (Sinead), Klein, M. (Marieke), Kwon, J.S. (Jun Soo), Laansma, M.A. (Max A.), Leerssen, J. (Jeanne), Lueken, U. (Ulrike), Nunes, A. (Abraham), Neill, J.O. (Joseph O'), Opel, N. (Nils), Piras, F. (Fabrizio), Piras, F. (Federica), Postema, M.C. (Merel C.), Pozzi, E. (Elena), Shatokhina, N. (Natalia), Soriano-Mas, C. (Carles), Spalletta, G. (Gianfranco), Sun, D. (Daqiang), Teumer, A. (Alexander), Tilot, A.K. (Amanda K.), Tozzi, L. (Leonardo), van der Merwe, C. (Celia), Someren, E.J.W. (Eus) van, van Wingen, G.A. (Guido A.), Völzke, H. (Henry), Walton, E. (Esther), Wang, L. (Lei), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Wright, M.J. (Margaret), Yun, J.-Y. (Je-Yeon), Zhang, G. (Guohao), Zhang-James, Y. (Yanli), Adhikari, B.M. (Bhim M.), Agartz, I. (Ingrid), Aghajani, M. (Moji), Aleman, A. (André), Althoff, R.R. (Robert R.), Altmann, A. (A.), Andreassen, O.A. (Ole), Baron, D.A. (David A.), Bartnik-Olson, B.L. (Brenda L.), Marie Bas-Hoogendam, J. (Janna), Baskin-Sommers, A.R. (Arielle R.), Bearden, C.E. (Carrie), Berner, L.A. (Laura A.), Boedhoe, P.S.W. (Premika S W), Brouwer, R.M. (Rachel), Buitelaar, J.K. (Jan), Caeyenberghs, K. (Karen), Cecil, C.A.M. (Charlotte), Cohen, R.A. (Ronald A.), Cole, J.H. (James H.), Conrod, P. (Patricia), De Brito, S.A. (Stephane A.), de Zwarte, S.M.C. (Sonja M C), Dennis, E.L. (Emily L.), Desrivieres, S. (Sylvane), Dima, D. (Danai), Ehrlich, S.M. (Stefan), Esopenko, C. (Carrie), Fairchild, G. (Graeme), Fisher, S.E. (Simon), Fouche, J.-P. (Jean-Paul), Francks, C. (Clyde), Frangou, S. (Sophia), Franke, B. (Barbara), Garavan, H.P. (Hugh P.), Glahn, D.C. (David), Groenewold, N.A. (Nynke A.), Gurholt, T.P. (Tiril P.), Gutman, B.A. (Boris A.), Hahn, T. (Tim), Harding, I.H. (Ian H.), Hernaus, D. (Dennis), Hibar, D.P. (Derrek P.), Hillary, F.G. (Frank G.), Hoogman, M. (Martine), Hulshoff Pol, H.E. (Hilleke E.), Jalbrzikowski, M. (Maria), Karkashadze, G.A. (George A.), Klapwijk, E.T. (Eduard T.), Knickmeyer, R.C. (Rebecca C.), Kochunov, P. (Peter), Koerte, I.K. (Inga K.), Kong, X.-Z. (Xiang-Zhen), Liew, S.-L. (Sook-Lei), Lin, A.P. (Alexander P.), Logue, M.W. (Mark W.), Luders, E. (Eileen), Macciardi, F. (Fabio), Mackey, S. (Scott), Mayer, A.R. (Andrew R.), McDonald, C.R. (Carrie R.), McMahon, A.B. (Agnes B.), Medland, S.E. (Sarah), Modinos, G. (Gemma), Morey, R.A. (Rajendra A.), Mueller, S.C. (Sven C.), Mukherjee, P. (Pratik), Namazova-Baranova, L. (L.), Nir, T.M. (Talia M.), Olsen, A. (Alexander), Paschou, P. (Peristera), Pine, D.S. (Daniel S.), Pizzagalli, F. (Fabrizio), Rentería, M.E. (Miguel), Rohrer, J.D. (Jonathan D.), Sämann, P.G. (Philipp), Schmaal, L. (Lianne), Schumann, G. (Gunter), Shiroishi, M.S. (Mark S.), Sisodiya, S.M. (Sanjay), Smit, D.J.A. (Dirk J A), Sønderby, I.E. (Ida E.), Stein, D.J. (Dan J.), Stein, J.L., Tahmasian, M. (Masoud), Tate, D.F. (David F.), Turner, J. (Jessica), Heuvel, O.A. (Odile A.), Wee, N.J. (Nic) van der, van der Werf, Y.D. (Ysbrand), Erp, T.G.M. (Theo G.) van, van Haren, N.E.M. (Neeltje E M), van Rooij, D. (Daan), Van Velzen, L.S., Veer, I.M. (Ilya), Veltman, D.J. (Dick), Villalon-Reina, J.E. (Julio E.), Walter, H.J. (Henrik), Whelan, C.D. (Christopher), Wilde, E.A. (Elisabeth A.), Zarei, M. (Mojtaba), and Zelman, V. (Vladimir)
- Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
- Published
- 2020
- Full Text
- View/download PDF
14. ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
- Author
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Thompson, PM, Jahanshad, N, Ching, CRK, Salminen, LE, Thomopoulos, SI, Bright, J, Baune, BT, Bertolin, S, Bralten, J, Bruin, WB, Buelow, R, Chen, J, Chye, Y, Dannlowski, U, de Kovel, CGF, Donohoe, G, Eyler, LT, Faraone, SV, Favre, P, Filippi, CA, Frodl, T, Garijo, D, Gil, Y, Grabe, HJ, Grasby, KL, Hajek, T, Han, LKM, Hatton, SN, Hilbert, K, Ho, TC, Holleran, L, Homuth, G, Hosten, N, Houenou, J, Ivanov, I, Jia, T, Kelly, S, Klein, M, Kwon, JS, Laansma, MA, Leerssen, J, Lueken, U, Nunes, A, Neill, JO, Opel, N, Piras, F, Postema, MC, Pozzi, E, Shatokhina, N, Soriano-Mas, C, Spalletta, G, Sun, D, Teumer, A, Tilot, AK, Tozzi, L, van der Merwe, C, Van Someren, EJW, van Wingen, GA, Voelzke, H, Walton, E, Wang, L, Winkler, AM, Wittfeld, K, Wright, MJ, Yun, J-Y, Zhang, G, Zhang-James, Y, Adhikari, BM, Agartz, I, Aghajani, M, Aleman, A, Althoff, RR, Altmann, A, Andreassen, OA, Baron, DA, Bartnik-Olson, BL, Bas-Hoogendam, J, Baskin-Sommers, AR, Bearden, CE, Berner, LA, Boedhoe, PSW, Brouwer, RM, Buitelaar, JK, Caeyenberghs, K, Cecil, CAM, Cohen, RA, Cole, JH, Conrod, PJ, De Brito, SA, de Zwarte, SMC, Dennis, EL, Desrivieres, S, Dima, D, Ehrlich, S, Esopenko, C, Fairchild, G, Fisher, SE, Fouche, J-P, Francks, C, Frangou, S, Franke, B, Garavan, HP, Glahn, DC, Groenewold, NA, Gurholt, TP, Gutman, BA, Hahn, T, Harding, IH, Hernaus, D, Hibar, DP, Hillary, FG, Hoogman, M, Pol, HE, Jalbrzikowski, M, Karkashadze, GA, Klapwijk, ET, Knickmeyer, RC, Kochunov, P, Koerte, IK, Kong, X-Z, Liew, S-L, Lin, AP, Logue, MW, Luders, E, Macciardi, F, Mackey, S, Mayer, AR, McDonald, CR, McMahon, AB, Medland, SE, Modinos, G, Morey, RA, Mueller, SC, Mukherjee, P, Namazova-Baranova, L, Nir, TM, Olsen, A, Paschou, P, Pine, DS, Pizzagalli, F, Renteria, ME, Rohrer, JD, Saemann, PG, Schmaal, L, Schumann, G, Shiroishi, MS, Sisodiya, SM, Smit, DJA, Sonderby, IE, Stein, DJ, Stein, JL, Tahmasian, M, Tate, DF, Turner, JA, van den Heuvel, OA, van der Wee, NJA, van der Werf, YD, van Erp, TGM, van Haren, NEM, van Rooij, D, van Velzen, LS, Veer, IM, Veltman, DJ, Villalon-Reina, JE, Walter, H, Whelan, CD, Wilde, EA, Zarei, M, Zelman, V, Thompson, PM, Jahanshad, N, Ching, CRK, Salminen, LE, Thomopoulos, SI, Bright, J, Baune, BT, Bertolin, S, Bralten, J, Bruin, WB, Buelow, R, Chen, J, Chye, Y, Dannlowski, U, de Kovel, CGF, Donohoe, G, Eyler, LT, Faraone, SV, Favre, P, Filippi, CA, Frodl, T, Garijo, D, Gil, Y, Grabe, HJ, Grasby, KL, Hajek, T, Han, LKM, Hatton, SN, Hilbert, K, Ho, TC, Holleran, L, Homuth, G, Hosten, N, Houenou, J, Ivanov, I, Jia, T, Kelly, S, Klein, M, Kwon, JS, Laansma, MA, Leerssen, J, Lueken, U, Nunes, A, Neill, JO, Opel, N, Piras, F, Postema, MC, Pozzi, E, Shatokhina, N, Soriano-Mas, C, Spalletta, G, Sun, D, Teumer, A, Tilot, AK, Tozzi, L, van der Merwe, C, Van Someren, EJW, van Wingen, GA, Voelzke, H, Walton, E, Wang, L, Winkler, AM, Wittfeld, K, Wright, MJ, Yun, J-Y, Zhang, G, Zhang-James, Y, Adhikari, BM, Agartz, I, Aghajani, M, Aleman, A, Althoff, RR, Altmann, A, Andreassen, OA, Baron, DA, Bartnik-Olson, BL, Bas-Hoogendam, J, Baskin-Sommers, AR, Bearden, CE, Berner, LA, Boedhoe, PSW, Brouwer, RM, Buitelaar, JK, Caeyenberghs, K, Cecil, CAM, Cohen, RA, Cole, JH, Conrod, PJ, De Brito, SA, de Zwarte, SMC, Dennis, EL, Desrivieres, S, Dima, D, Ehrlich, S, Esopenko, C, Fairchild, G, Fisher, SE, Fouche, J-P, Francks, C, Frangou, S, Franke, B, Garavan, HP, Glahn, DC, Groenewold, NA, Gurholt, TP, Gutman, BA, Hahn, T, Harding, IH, Hernaus, D, Hibar, DP, Hillary, FG, Hoogman, M, Pol, HE, Jalbrzikowski, M, Karkashadze, GA, Klapwijk, ET, Knickmeyer, RC, Kochunov, P, Koerte, IK, Kong, X-Z, Liew, S-L, Lin, AP, Logue, MW, Luders, E, Macciardi, F, Mackey, S, Mayer, AR, McDonald, CR, McMahon, AB, Medland, SE, Modinos, G, Morey, RA, Mueller, SC, Mukherjee, P, Namazova-Baranova, L, Nir, TM, Olsen, A, Paschou, P, Pine, DS, Pizzagalli, F, Renteria, ME, Rohrer, JD, Saemann, PG, Schmaal, L, Schumann, G, Shiroishi, MS, Sisodiya, SM, Smit, DJA, Sonderby, IE, Stein, DJ, Stein, JL, Tahmasian, M, Tate, DF, Turner, JA, van den Heuvel, OA, van der Wee, NJA, van der Werf, YD, van Erp, TGM, van Haren, NEM, van Rooij, D, van Velzen, LS, Veer, IM, Veltman, DJ, Villalon-Reina, JE, Walter, H, Whelan, CD, Wilde, EA, Zarei, M, and Zelman, V
- Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
- Published
- 2020
15. Interleukin 1B gene (IL-1B) and interleukin 1 receptor antagonist gene (IL-1RN) polymorphisms in Helicobacter pylori-negative gastric cancer of intestinal and diffuse histotype
- Author
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Ruzzo, A., Graziano, F., Pizzagalli, F., Santini, D., Battistelli, V., Panunzi, S., Canestrari, E., Catalano, V., Humar, B., Ficarelli, R., Bearzi, I., Cascinu, S., Naldi, N., Testa, E., and Magnani, M.
- Published
- 2005
- Full Text
- View/download PDF
16. Toll-like receptor 4 Asp299Gly and Thr399Ile polymorphisms in gastric cancer of intestinal and diffuse histotypes
- Author
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Santini, D., Angeletti, S., Ruzzo, A., Dicuonzo, G., Galluzzo, S., Vincenzi, B., Calvieri, A., Pizzagalli, F., Graziano, N., Ferraro, E., Lorino, G., Altomare, A., Magnani, M., Graziano, F., and Tonini, G.
- Published
- 2008
17. Identification of Steroid Sulfate Transport Processes in the Human Mammary Gland
- Author
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Pizzagalli, F, Varga, Z, Huber, R D., Folkers, G, Meier, P J., and St-Pierre, M V.
- Published
- 2003
18. Identification of a Novel Human Organic Anion Transporting Polypeptide as a High Affinity Thyroxine Transporter
- Author
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Pizzagalli, F, Hagenbuch, B, Stieger, B, Klenk, U, Folkers, G, and Meier, P J.
- Published
- 2002
19. Quelles interventions durant le travail pour diminuer le risque de lésions périnéales ? RPC Prévention et protection périnéale en obstétrique CNGOF
- Author
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Le Ray, C., primary and Pizzagalli, F., additional
- Published
- 2018
- Full Text
- View/download PDF
20. fMRI single trial discovery of spatio-temporal brain activity patterns
- Author
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Allegra, M., Seyed-Allaei, S., Pizzagalli, F., Baftizadeh, F., Maieron, M., Reverberi, C., Laio, A., Amati, D., Allegra, M, Seyed Allei, S, Pizzagalli, F, Baftizadeh, F, Maieron, M, Reverberi, C, Laio, A, and Amati, D
- Subjects
Adult ,Male ,Radiology, Nuclear Medicine and Imaging ,unsupervised fMRI analysi ,Time Factors ,Image Processing ,Movement ,Models, Neurological ,short-lived brain activity patterns ,time-dependent connectivity ,unsupervised fMRI analysis ,Settore FIS/03 - Fisica della Materia ,Young Adult ,Computer-Assisted ,Models ,Neural Pathways ,Image Processing, Computer-Assisted ,Humans ,Computer Simulation ,Brain ,Female ,Middle Aged ,Oxygen ,Principal Component Analysis ,Reproducibility of Results ,Brain Mapping ,Magnetic Resonance Imaging ,Research Articles ,Radiological and Ultrasound Technology ,short-lived brain activity pattern ,Neurology ,Neurological ,Neurology (clinical) ,Anatomy - Abstract
There is growing interest in the description of short-lived patterns in the spatiotemporal cortical activity monitored via neuroimaging. Most traditional analysis methods, designed to estimate relatively long-term brain dynamics, are not always appropriate to capture these patterns. Here we introduce a novel data-driven approach for detecting short-lived fMRI brain activity patterns. Exploiting Density Peak Clustering (Rodriguez and Laio [2014]), our approach reveals well localized clusters by identifying and grouping together voxels whose time-series are similar, irrespective of their brain location, even when very short time windows (∼10 volumes) are used. The method, which we call Coherence Density Peak Clustering (CDPC), is first tested on simulated data and compared with a standard unsupervised approach for fMRI analysis, independent component analysis (ICA). CDPC identifies activated voxels with essentially no false-positives and proves more reliable than ICA, which is troubled by a number of false positives comparable to that of true positives. The reliability of the method is demonstrated on real fMRI data from a simple motor task, containing brief iterations of the same movement. The clusters identified are found in regions expected to be involved in the task, and repeat synchronously with the paradigm. The methodology proposed is especially suitable for the study of short-time brain dynamics and single trial experiments, where the event or task of interest cannot be repeated for the same subject, as happens, for instance, in problem-solving, learning and decision-making. A GUI implementation of our method is available for download at https://github.com/micheleallegra/CDPC. Hum Brain Mapp 38:1421–1437, 2017. © 2016 Wiley Periodicals, Inc.
- Published
- 2016
21. fMRI single trial discovery of spatio-temporal brain activity patterns
- Author
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Allegra, M, Seyed Allei, S, Pizzagalli, F, Baftizadeh, F, Maieron, M, Reverberi, C, Laio, A, Amati, D, Allegra, M, Seyed Allei, S, Pizzagalli, F, Baftizadeh, F, Maieron, M, Reverberi, C, Laio, A, and Amati, D
- Abstract
There is growing interest in the description of short-lived patterns in the spatiotemporal cortical activity monitored via neuroimaging. Most traditional analysis methods, designed to estimate relatively long-term brain dynamics, are not always appropriate to capture these patterns. Here we introduce a novel data-driven approach for detecting short-lived fMRI brain activity patterns. Exploiting Density Peak Clustering (Rodriguez and Laio [2014]), our approach reveals well localized clusters by identifying and grouping together voxels whose time-series are similar, irrespective of their brain location, even when very short time windows (∼10 volumes) are used. The method, which we call Coherence Density Peak Clustering (CDPC), is first tested on simulated data and compared with a standard unsupervised approach for fMRI analysis, independent component analysis (ICA). CDPC identifies activated voxels with essentially no false-positives and proves more reliable than ICA, which is troubled by a number of false positives comparable to that of true positives. The reliability of the method is demonstrated on real fMRI data from a simple motor task, containing brief iterations of the same movement. The clusters identified are found in regions expected to be involved in the task, and repeat synchronously with the paradigm. The methodology proposed is especially suitable for the study of short-time brain dynamics and single trial experiments, where the event or task of interest cannot be repeated for the same subject, as happens, for instance, in problem-solving, learning and decision-making. A GUI implementation of our method is available for download at https://github.com/micheleallegra/CDPC. Hum Brain Mapp 38:1421–1437, 2017. © 2016 Wiley Periodicals, Inc.
- Published
- 2017
22. Magnetic resonance imaging does not reveal structural alterations in the brain of synesthetes
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Dojat, M., primary, Pizzagalli, F., additional, and Hupé, JM, additional
- Published
- 2017
- Full Text
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23. The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity
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Maillard, AM, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Maennik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, JS, Reymond, A, Draganski, B, Jacquemont, S, Maillard, AM, Ruef, A, Pizzagalli, F, Migliavacca, E, Hippolyte, L, Adaszewski, S, Dukart, J, Ferrari, C, Conus, P, Maennik, K, Zazhytska, M, Siffredi, V, Maeder, P, Kutalik, Z, Kherif, F, Hadjikhani, N, Beckmann, JS, Reymond, A, Draganski, B, and Jacquemont, S
- Abstract
Anatomical structures and mechanisms linking genes to neuropsychiatric disorders are not deciphered. Reciprocal copy number variants at the 16p11.2 BP4-BP5 locus offer a unique opportunity to study the intermediate phenotypes in carriers at high risk for autism spectrum disorder (ASD) or schizophrenia (SZ). We investigated the variation in brain anatomy in 16p11.2 deletion and duplication carriers. Beyond gene dosage effects on global brain metrics, we show that the number of genomic copies negatively correlated to the gray matter volume and white matter tissue properties in cortico-subcortical regions implicated in reward, language and social cognition. Despite the near absence of ASD or SZ diagnoses in our 16p11.2 cohort, the pattern of brain anatomy changes in carriers spatially overlaps with the well-established structural abnormalities in ASD and SZ. Using measures of peripheral mRNA levels, we confirm our genomic copy number findings. This combined molecular, neuroimaging and clinical approach, applied to larger datasets, will help interpret the relative contributions of genes to neuropsychiatric conditions by measuring their effect on local brain anatomy.
- Published
- 2015
24. Comparaison entre carbétocine et oxytocine en cours de césarienne dans la prévention des hémorragies du post-partum
- Author
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Pizzagalli, F., primary, Agasse, J., additional, and Marpeau, L., additional
- Published
- 2015
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25. Predictive role of a pharmacogenetic profiling in patients with advanced colorectal cancer (ACRC) treated with first-line, 5-fluorouracil/oxaliplatin chemotherapy
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Graziano, F., Russo, A. M., Loupakis, F., Canestrari, E., Santini, D., Catalano, V., Ficarelli, R., Mari, D., Bisonni, R., GIANLUCA MASI, Schiavon, G., Safina, V., Maltese, P., Pizzagalli, F., Giordani, P., Lippe, P., Alessandrini, P., Giustini, L., Alfredo Falcone, Tonini, G., Silva, R. R., Mattioli, R., Menichetti, E. T., Testa, E., Lai, V., and Magnani, M.
- Published
- 2006
26. Endogastric capsule (EC) for determining E-cadherin gene (CDH-1) promoter hypermethylation in DNA isolated from gastric juice
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Muretto, P, Ruzzo, Annamaria, Graziano, F, Pizzagalli, F, Staccioli, M, and Magnani, Mauro
- Published
- 2006
27. Methylenetetrahydrofolate reductase 677C/T gene (MTHFR 677C/T) polymorphism, gastric cancer risk and genomic DNA hypomethylation. A report from the Italian group for genetic research in gastric cancer
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Graziano, F, Kawakami, K, Ruzzo, Annamaria, Santini, D, Pizzagalli, F, Bisonni, R, Mari, D, Floriani, I, Catalano, V, Testa, E, Cascinu, S, Giuliodori, L, Tonini, G, Torri, V, Giustini, L, Magnani, Mauro, and Silva, Rr
- Published
- 2005
28. Analysis of polymorphisms in the Interleukin-1beta gene (IL-1B) and in the Interleukin-1 receptor anatagonist gene (IL-1RN) for gastric cancer susceptibility in Helicobacter Pylori (HP) negative, Italian patients. A report from the Italian Group for Genetic Research in Gastric Cancer (IGGRGC)
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Ruzzo, Annamaria, Pizzagalli, F, Graziano, F, Santini, D, Catalano, V, Scartozzi, M, Ficarelli, R, Bearzl, I, Cascinu, S, and Magnani, Mauro
- Published
- 2004
29. Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human
- Author
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Pizzagalli, F., primary, Auzias, G., additional, Delon-Martin, C., additional, and Dojat, M., additional
- Published
- 2013
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30. Which registration method for high resolution fMRI to explore hand movement cortical representation?
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Pizzagalli, F., primary, Auzias, G., additional, Delon-Martin, C., additional, and Dojat, M., additional
- Published
- 2012
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31. Combination of nonlinear registration methods with high resolution fMRI for a fine exploration of human primary motor hand area
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Pizzagalli, F., primary, Auzias, G., additional, Delon-Martin, C., additional, and Dojat, M., additional
- Published
- 2011
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32. Two new stable anatomical landmarks on the Central Sulcus: Definition, automatic detection, and their relationship with primary motor functions of the hand
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Coulon, O., primary, Pizzagalli, F., additional, Operto, G., additional, Auzias, G., additional, Delon-Martin, C., additional, and Dojat, M., additional
- Published
- 2011
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33. Pharmacogenetic profiling in patients with advanced colorectal cancer treated with first-line FOLFIRI chemotherapy
- Author
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Ruzzo, A, primary, Graziano, F, additional, Loupakis, F, additional, Santini, D, additional, Catalano, V, additional, Bisonni, R, additional, Ficarelli, R, additional, Fontana, A, additional, Andreoni, F, additional, Falcone, A, additional, Canestrari, E, additional, Tonini, G, additional, Mari, D, additional, Lippe, P, additional, Pizzagalli, F, additional, Schiavon, G, additional, Alessandroni, P, additional, Giustini, L, additional, Maltese, P, additional, Testa, E, additional, Menichetti, E T, additional, and Magnani, M, additional
- Published
- 2007
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34. EFFECT OF HEPATIC IMPAIRMENT ON BITOPERTIN PHARMACOKINETICS
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Pizzagalli F., Denot C., Homery M., Kobalava Z., Martin-Facklam M., Pizzagalli F., Denot C., Homery M., Kobalava Z., and Martin-Facklam M.
35. Sulcal Morphometry Predicts Mild Cognitive Impairment Conversion to Alzheimer's Disease.
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Sighinolfi G, Mitolo M, Pizzagalli F, Stanzani-Maserati M, Remondini D, Rochat MJ, Cantoni E, Venturi G, Vornetti G, Bartiromo F, Capellari S, Liguori R, Tonon C, Testa C, and Lodi R
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Brain pathology, Brain diagnostic imaging, Image Processing, Computer-Assisted, Aged, 80 and over, Alzheimer Disease pathology, Alzheimer Disease diagnostic imaging, Alzheimer Disease psychology, Cognitive Dysfunction pathology, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction diagnosis, Disease Progression, Magnetic Resonance Imaging methods, Neuropsychological Tests
- Abstract
Background: Being able to differentiate mild cognitive impairment (MCI) patients who would eventually convert (MCIc) to Alzheimer's disease (AD) from those who would not (MCInc) is a key challenge for prognosis., Objective: This study aimed to investigate the ability of sulcal morphometry to predict MCI progression to AD, dedicating special attention to an accurate identification of sulci., Methods: Twenty-five AD patients, thirty-seven MCI and twenty-five healthy controls (HC) underwent a brain-MR protocol (1.5T scanner) including a high-resolution T1-weighted sequence. MCI patients underwent a neuropsychological assessment at baseline and were clinically re-evaluated after a mean of 2.3 years. At follow-up, 12 MCI were classified as MCInc and 25 as MCIc. Sulcal morphometry was investigated using the BrainVISA framework. Consistency of sulci across subjects was ensured by visual inspection and manual correction of the automatic labelling in each subject. Sulcal surface, depth, length, and width were retrieved from 106 sulci. Features were compared across groups and their classification accuracy in predicting MCI conversion was tested. Potential relationships between sulcal features and cognitive scores were explored using Spearman's correlation., Results: The width of sulci in the temporo-occipital region strongly differentiated between each pair of groups. Comparing MCIc and MCInc, the width of several sulci in the bilateral temporo-occipital and left frontal areas was significantly altered. Higher width of frontal sulci was associated with worse performances in short-term verbal memory and phonemic fluency., Conclusions: Sulcal morphometry emerged as a strong tool for differentiating HC, MCI, and AD, demonstrating its potential prognostic value for the MCI population.
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- 2024
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- View/download PDF
36. Multisite test-retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3.
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Haddad E, Pizzagalli F, Zhu AH, Bhatt RR, Islam T, Ba Gari I, Dixon D, Thomopoulos SI, Thompson PM, and Jahanshad N
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- Humans, Reproducibility of Results, Brain diagnostic imaging, Brain pathology, Magnetic Resonance Imaging methods, Software, Image Processing, Computer-Assisted methods
- Abstract
Automatic neuroimaging processing tools provide convenient and systematic methods for extracting features from brain magnetic resonance imaging scans. One tool, FreeSurfer, provides an easy-to-use pipeline to extract cortical and subcortical morphometric measures. There have been over 25 stable releases of FreeSurfer, with different versions used across published works. The reliability and compatibility of regional morphometric metrics derived from the most recent version releases have yet to be empirically assessed. Here, we used test-retest data from three public data sets to determine within-version reliability and between-version compatibility across 42 regional outputs from FreeSurfer versions 7.1, 6.0, and 5.3. Cortical thickness from v7.1 was less compatible with that of older versions, particularly along the cingulate gyrus, where the lowest version compatibility was observed (intraclass correlation coefficient 0.37-0.61). Surface area of the temporal pole, frontal pole, and medial orbitofrontal cortex, also showed low to moderate version compatibility. We confirm low compatibility between v6.0 and v5.3 of pallidum and putamen volumes, while those from v7.1 were compatible with v6.0. Replication in an independent sample showed largely similar results for measures of surface area and subcortical volumes, but had lower overall regional thickness reliability and compatibility. Batch effect correction may adjust for some inter-version effects when most sites are run with one version, but results vary when more sites are run with different versions. Age associations in a quality controlled independent sample (N = 106) revealed version differences in results of downstream statistical analysis. We provide a reference to highlight the regional metrics that may yield recent version-related inconsistencies in published findings. An interactive viewer is provided at http://data.brainescience.org/Freesurfer_Reliability/., (© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
- Published
- 2023
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37. Normal delivery: physiologic support and medical interventions. Guidelines of the French National Authority for Health (HAS) with the collaboration of the French College of Gynecologists and Obstetricians (CNGOF) and the French College of Midwives (CNSF).
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Petitprez K, Mattuizzi A, Guillaume S, Arnal M, Artzner F, Bernard C, Caron FM, Chevalier I, Daussy-Urvoy C, Ducloy-Bouthorsc AS, Garnier JM, Keita-Meyer H, Lavillonnière J, Lejeune-Sadaa V, Le Ray C, Morandeau A, Nadjafizade M, Pizzagalli F, Schantz C, Schmitz T, Shojai R, Hédon B, and Sentilhes L
- Subjects
- Female, Humans, Infant, Newborn, Pregnancy, Oxytocin, Delivery, Obstetric methods
- Abstract
Objective: To define for women at low obstetric risk methods of management that respect the rhythm and the spontaneous course of giving birth as well as each woman's preferences., Methods: These clinical practice guidelines were developed through professional consensus based on an analysis of the literature and of the French and international guidelines available on this topic., Results: Labor should be monitored with a partograph (professional consensus). Digital cervical examination should be offered every 4 h during the first stage of labor, hourly during the second. The choice between continuous (cardiotocography) or discontinuous (by cardiotocography or intermittent auscultation) monitoring should be left to the woman (professional consensus). In the active phase of the first stage of labor, dilation speed is considered abnormal if it is less than 1 cm/4 h between 5 and 7 cm or less than 1 cm/2 h after 7 cm. In those cases, an amniotomy is recommended if the membranes are intact, and the administration of oxytocin if the membranes are already broken and uterine contractions are judged insufficient (professional consensus). It is recommended that pushing not begin when full dilation has been reached; rather, the fetus should be allowed to descend (grade A). Umbilical cord clamping should be delayed beyond the first 30 s in newborns who do not require resuscitation (grade C)., Conclusion: The establishment of these clinical practice guidelines should enable women at low obstetric risk to receive better care in conditions of optimal safety while supporting physiologic birth.
- Published
- 2022
- Full Text
- View/download PDF
38. Genetic map of regional sulcal morphology in the human brain from UK biobank data.
- Author
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Sun BB, Loomis SJ, Pizzagalli F, Shatokhina N, Painter JN, Foley CN, Jensen ME, McLaren DG, Chintapalli SS, Zhu AH, Dixon D, Islam T, Ba Gari I, Runz H, Medland SE, Thompson PM, Jahanshad N, and Whelan CD
- Subjects
- Cerebral Cortex anatomy & histology, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, United Kingdom, Biological Specimen Banks, Brain diagnostic imaging
- Abstract
Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease., (© 2022. The Author(s).)
- Published
- 2022
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39. Identifying a brain network for musical rhythm: A functional neuroimaging meta-analysis and systematic review.
- Author
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Kasdan AV, Burgess AN, Pizzagalli F, Scartozzi A, Chern A, Kotz SA, Wilson SM, and Gordon RL
- Subjects
- Adult, Auditory Perception, Brain diagnostic imaging, Brain Mapping, Functional Neuroimaging, Humans, Magnetic Resonance Imaging, Music
- Abstract
We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral superior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2022
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- View/download PDF
40. Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group.
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Medland SE, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Thomopoulos SI, Stein JL, Franke B, Martin NG, and Thompson PM
- Subjects
- Humans, Multicenter Studies as Topic, Brain anatomy & histology, Brain diagnostic imaging, Genetics, Genome-Wide Association Study, Mental Disorders diagnostic imaging, Mental Disorders genetics, Mental Disorders pathology, Meta-Analysis as Topic, Nervous System Diseases diagnostic imaging, Nervous System Diseases genetics, Nervous System Diseases pathology, Neuroimaging
- Abstract
Here we review the motivation for creating the enhancing neuroimaging genetics through meta-analysis (ENIGMA) Consortium and the genetic analyses undertaken by the consortium so far. We discuss the methodological challenges, findings, and future directions of the genetics working group. A major goal of the working group is tackling the reproducibility crisis affecting "candidate gene" and genome-wide association analyses in neuroimaging. To address this, we developed harmonized analytic methods, and support their use in coordinated analyses across sites worldwide, which also makes it possible to understand heterogeneity in results across sites. These efforts have resulted in the identification of hundreds of common genomic loci robustly associated with brain structure. We have found both pleiotropic and specific genetic effects associated with brain structures, as well as genetic correlations with psychiatric and neurological diseases., (© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
- Published
- 2022
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- View/download PDF
41. White matter tracts characteristics in habitual decision-making circuit underlie ritual behaviors in anorexia nervosa.
- Author
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Tadayonnejad R, Pizzagalli F, Murray SB, Pauli WM, Conde G, Bari AA, Strober M, O'Doherty JP, and Feusner JD
- Subjects
- Adolescent, Adult, Anorexia Nervosa psychology, Brain metabolism, Brain physiology, Compulsive Behavior physiopathology, Diffusion Tensor Imaging methods, Female, Habits, Humans, Male, White Matter metabolism, Young Adult, Anorexia Nervosa physiopathology, Decision Making physiology, White Matter physiology
- Abstract
Anorexia nervosa (AN) is a difficult to treat, pernicious psychiatric disorder that has been linked to decision-making abnormalities. We examined the structural characteristics of habitual and goal-directed decision-making circuits and their connecting white matter tracts in 32 AN and 43 healthy controls across two independent data sets of adults and adolescents as an explanatory sub-study. Total bilateral premotor/supplementary motor area-putamen tracts in the habit circuit had a significantly higher volume in adults with AN, relative to controls. Positive correlations were found between both the number of tracts and white matter volume (WMV) in the habit circuit, and the severity of ritualistic/compulsive behaviors in adults and adolescents with AN. Moreover, we found a significant influence of the habit circuit WMV on AN ritualistic/compulsive symptom severity, depending on the preoccupations symptom severity levels. These findings suggest that AN is associated with white matter plasticity alterations in the habit circuit. The association between characteristics of habit circuit white matter tracts and AN behavioral symptoms provides support for a circuit based neurobiological model of AN, and identifies the habit circuit as a focus for further investigation to aid in development of novel and more effective treatments based on brain-behavior relationships., (© 2021. The Author(s).)
- Published
- 2021
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42. A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets.
- Author
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Shishegar R, Pizzagalli F, Georgiou-Karistianis N, Egan GF, Jahanshad N, and Johnston LA
- Subjects
- Adolescent, Child, Child, Preschool, Female, Humans, Male, Young Adult, Cerebral Cortex diagnostic imaging, Cerebral Cortex growth & development, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
- Abstract
An accurate measure of the complexity of patterns of cortical folding or gyrification is necessary for understanding normal brain development and neurodevelopmental disorders. Conventional gyrification indices (GIs) are calculated based on surface curvature (curvature-based GI) or an outer hull surface of the cortex (outer surface-based GI). The latter is dependent on the definition of the outer hull surface and a corresponding function between surfaces. In the present study, we propose the Laplace Beltrami-based gyrification index (LB-GI). This is a new curvature-based local GI computed using the first three Laplace Beltrami eigenfunction level sets. As with outer surface-based GI methods, this method is based on the hypothesis that gyrification stems from a flat surface during development. However, instead of quantifying gyrification with reference to corresponding points on an outer hull surface, LB-GI quantifies the gyrification at each point on the cortical surface with reference to their surrounding gyral points, overcoming several shortcomings of existing methods. The LB-GI was applied to investigate the cortical maturation profile of the human brain from preschool to early adulthood using the PING database. The results revealed more detail in patterns of cortical folding than conventional curvature-based methods, especially on frontal and posterior tips of the brain, such as the frontal pole, lateral occipital, lateral cuneus, and lingual. Negative associations of cortical folding with age were observed at cortical regions, including bilateral lingual, lateral occipital, precentral gyrus, postcentral gyrus, and superior frontal gyrus. The results also indicated positive significant associations between age and the LB-GI of bilateral insula, the medial orbitofrontal, frontal pole and rostral anterior cingulate regions. It is anticipated that the LB-GI will be advantageous in providing further insights in the understanding of brain development and degeneration in large clinical neuroimaging studies., (Copyright © 2021. Published by Elsevier Inc.)
- Published
- 2021
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43. Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model.
- Author
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Ficiarà E, Crespi V, Gadewar SP, Thomopoulos SI, Boyd J, Thompson PM, Jahanshad N, and Pizzagalli F
- Abstract
Magnetic resonance imaging (MRI) has a potential for early diagnosis of individuals at risk for developing Alzheimer's disease (AD). Cognitive performance in healthy elderly people and in those with mild cognitive impairment (MCI) has been associated with measures of cortical gyrification [1] and thickness (CT) [2], yet the extent to which sulcal measures can help to predict AD conversion above and beyond CT measures is not known. Here, we analyzed 721 participants with MCI from phases 1 and 2 of the Alzheimer's Disease Neuroimaging Initiative, applying a two-state Markov model to study the conversion from MCI to AD condition. Our preliminary results suggest that MRI-based cortical features, including sulcal morphometry, may help to predict conversion from MCI to AD.
- Published
- 2021
- Full Text
- View/download PDF
44. [Normal childbirth: physiologic labor support and medical procedures. Guidelines of the French National Authority for Health (HAS) with the collaboration of the French College of Gynaecologists and Obstetricians (CNGOF) and the French College of Midwives (CNSF) -- Text of the Guidelines (short text)].
- Author
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Petitprez K, Guillaume S, Mattuizzi A, Arnal M, Artzner F, Bernard C, Bonnin M, Bouvet L, Caron FM, Chevalier I, Daussy-Urvoy C, Ducloy-Bouthorsc AS, Garnier JM, Keita-Meyer H, Lavillonnière J, Lejeune-Sadaa V, Leray C, Morandeau A, Morau E, Nadjafizade M, Pizzagalli F, Schantz C, Schmitz T, Shojai R, Hédon B, and Sentilhes L
- Subjects
- Delivery, Obstetric, Female, Humans, Oxytocin, Placenta, Pregnancy, Gynecology, Midwifery
- Abstract
Objective: The objective of these guidelines is to define for women at low obstetric risk modalities that respect the physiology of delivery and guarantee the quality and safety of maternal and newborn care., Methods: These guidelines were made by a consensus of experts based on an analysis of the scientific literature and the French and international recommendations available on the subject., Results: It is recommended to conduct a complete initial examination of the woman in labor at admission (consensus agreement). The labor will be monitored using a partogram that is a useful traceability tool (consensus agreement). A transvaginal examination may be offered every two to four hours during the first stage of labor and every hour during the second stage of labor or before if the patient requests it, or in case of a warning sign. It is recommended that if anesthesia is required, epidural or spinal anesthesia should be used to prevent bronchial inhalation (grade A). The consumption of clear fluids is permitted throughout labor in patients with a low risk of general anesthesia (grade B). It is recommended to carry out a "low dose" epidural analgesia that respects the experience of delivery (grade A). It is recommended to maintain the epidural analgesia through a woman's self-administration pump (grade A). It is recommended to give the woman the choice of continuous (by cardiotocography) or discontinuous (by cardiotocography or intermittent auscultation) monitoring if the conditions of maternity organization and the permanent availability of staff allow it and, after having informed the woman of the benefits and risks of each technique (consensus agreement). In the active phase of the first stage of labor, the dilation rate is considered abnormal if it is less than 1cm/4h between 5 and 7cm or less than 1cm/2h above 7cm (level of Evidence 2). It is then recommended to propose an amniotomy if the membranes are intact or an oxytocin administration if the membranes are already ruptured, and the uterine contractions considered insufficient (consensus agreement). It is recommended not to start expulsive efforts as soon as complete dilation is identified, but to let the presentation of the fetus drop (grade A). It is recommended to inform the gynecologist-obstetrician in case of nonprogression of the fetus after two hours of complete dilation with sufficient uterine dynamics (consensus agreement). It is recommended not to use abdominal expression (grade B). It is recommended to carry out preventive administration of oxytocin at 5 or 10 IU to prevent PPH after vaginal delivery (grade A). In the case of placental retention, it is recommended to perform a manual removal of the placenta (grade A). In the absence of bleeding, it should be performed 30minutes but not more than 60minutes after delivery (consensus agreement). It is recommended to assess at birth the breathing or screaming, and tone of the newborn to quickly determine if resuscitation is required (consensus agreement). If the parameters are satisfactory (breathing present, screaming frankly, and normal tonicity), it is recommended to propose to the mother that she immediately place the newborn skin-to-skin with her mother if she wishes, with a monitoring protocol (grade B). Delayed cord clamping is recommended beyond the first 30seconds in neonates, not requiring resuscitation (grade C). It is recommended that the first oral dose (2mg) of vitamin K (consensus agreement) be given systematically within two hours of birth., Conclusion: These guidelines allow women at low obstetric risk to benefit from a better quality of care and optimal safety conditions while respecting the physiology of delivery., (Copyright © 2020. Published by Elsevier Masson SAS.)
- Published
- 2020
- Full Text
- View/download PDF
45. [Normal childbirth: physiologic labor support and medical procedures. Guidelines of the French National Authority for Health (HAS) with the collaboration of the French College of Gynaecologists and Obstetricians (CNGOF) and the French College of Midwives (CNSF) - Maternal postures during the second stage of labour, delivery techniques and perineal protection].
- Author
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Pizzagalli F
- Subjects
- Delivery, Obstetric, Female, Humans, Perineum, Posture, Pregnancy, Labor Stage, Second, Midwifery
- Abstract
Objective: To assess maternal postures during the second stage of labour on course of labour, mode of delivery and maternal and neonatal morbidity. To describe the different techniques of spontaneous vaginal delivery and their influence on maternal and neonatal morbidity. To describe the different perineal protection techniques., Method: Systematic review of the literature through consultation of Medline, Cochrane databases and international recommendations., Results: There is no particular posture that has demonstrated its superiority (Level of Evidence (LE) 2). In case of no contraindication and permanent maternal and fetal monitoring, it is recommended to encourage women to adopt the postures they consider most comfortable during the second stage of labour (Consensus agreement). There is insufficient evidence in the literature to recommend a technique for fetal head and shoulders delivery. There is not enough data in the literature to recommend the use of Ritgen maneuver (grade B), perineal massage (gradeC) or hot compresses (Consensus agreement). The abdominal expression must be abandoned (grade B)., Conclusion: The second stage of labour is a crucial time in labour that can lead to significant maternal and neonatal morbidity. It is necessary to take the greatest possible care in the supervision and management of women, especially for the perineal protection. The influence of non-medicinal techniques on the course of the second stage of labour should be studied., (Copyright © 2020 Elsevier Masson SAS. All rights reserved.)
- Published
- 2020
- Full Text
- View/download PDF
46. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.
- Author
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Hofer E, Roshchupkin GV, Adams HHH, Knol MJ, Lin H, Li S, Zare H, Ahmad S, Armstrong NJ, Satizabal CL, Bernard M, Bis JC, Gillespie NA, Luciano M, Mishra A, Scholz M, Teumer A, Xia R, Jian X, Mosley TH, Saba Y, Pirpamer L, Seiler S, Becker JT, Carmichael O, Rotter JI, Psaty BM, Lopez OL, Amin N, van der Lee SJ, Yang Q, Himali JJ, Maillard P, Beiser AS, DeCarli C, Karama S, Lewis L, Harris M, Bastin ME, Deary IJ, Veronica Witte A, Beyer F, Loeffler M, Mather KA, Schofield PR, Thalamuthu A, Kwok JB, Wright MJ, Ames D, Trollor J, Jiang J, Brodaty H, Wen W, Vernooij MW, Hofman A, Uitterlinden AG, Niessen WJ, Wittfeld K, Bülow R, Völker U, Pausova Z, Bruce Pike G, Maingault S, Crivello F, Tzourio C, Amouyel P, Mazoyer B, Neale MC, Franz CE, Lyons MJ, Panizzon MS, Andreassen OA, Dale AM, Logue M, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Stein JL, Thompson PM, Medland SE, Sachdev PS, Kremen WS, Wardlaw JM, Villringer A, van Duijn CM, Grabe HJ, Longstreth WT Jr, Fornage M, Paus T, Debette S, Ikram MA, Schmidt H, Schmidt R, and Seshadri S
- Subjects
- Adult, Aged, Aged, 80 and over, Chromosome Structures, Cognition, Female, Genomics, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Aging genetics, Brain, Genome-Wide Association Study, Mental Disorders genetics, Neurodegenerative Diseases genetics
- 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
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47. The reliability and heritability of cortical folds and their genetic correlations across hemispheres.
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Pizzagalli F, Auzias G, Yang Q, Mathias SR, Faskowitz J, Boyd JD, Amini A, Rivière D, McMahon KL, de Zubicaray GI, Martin NG, Mangin JF, Glahn DC, Blangero J, Wright MJ, Thompson PM, Kochunov P, and Jahanshad N
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- Adult, Aged, Brain physiology, Brain Mapping, Cerebral Cortex ultrastructure, Female, Humans, Male, Middle Aged, Brain ultrastructure, Cerebral Cortex physiology, Magnetic Resonance Imaging
- Abstract
Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65-0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N > 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N > 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences.
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- 2020
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48. Safety and Pharmacokinetics of DS-1040 Drug-Drug Interactions With Aspirin, Clopidogrel, and Enoxaparin.
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Limsakun T, Dishy V, Mendell J, Pizzagalli F, Pav J, Kochan J, Vandell AG, Rambaran C, Kobayashi F, Orihashi Y, Warren V, McPhillips P, and Zhou J
- Subjects
- Administration, Oral, Adult, Area Under Curve, Aspirin administration & dosage, Aspirin blood, Aspirin pharmacokinetics, Clinical Trials as Topic, Clinical Trials, Phase I as Topic, Clopidogrel administration & dosage, Clopidogrel blood, Clopidogrel pharmacokinetics, Drug Administration Schedule, Drug Interactions, Drug Therapy, Combination, Enoxaparin administration & dosage, Enoxaparin blood, Enoxaparin pharmacokinetics, Female, Fibrinolytic Agents administration & dosage, Fibrinolytic Agents blood, Fibrinolytic Agents pharmacokinetics, Healthy Volunteers, Hemorrhage chemically induced, Humans, Male, Middle Aged, Platelet Aggregation Inhibitors administration & dosage, Platelet Aggregation Inhibitors blood, Platelet Aggregation Inhibitors pharmacokinetics, Stroke drug therapy, Venous Thromboembolism drug therapy, Young Adult, Aspirin adverse effects, Clopidogrel adverse effects, Enoxaparin adverse effects, Fibrinolytic Agents adverse effects, Platelet Aggregation Inhibitors adverse effects
- Abstract
DS-1040, a novel low-molecular-weight inhibitor of activated thrombin-activatable fibrinolysis inhibitor, is under development for the treatment of thromboembolic diseases including venous thromboembolism and acute ischemic stroke. Here we describe the results of 3 studies that evaluated the safety and tolerability of DS-1040 along with the effect on DS-1040 pharmacokinetic (PK) parameters, when dosed alone or when coadministered with aspirin (NCT02071004), clopidogrel (NCT02560688), or enoxaparin in healthy subjects. Concomitant administration of single-dose DS-1040 with multiple-dose aspirin, multiple-dose clopidogrel, or single-dose enoxaparin, consistent with clinically relevant dose regimens, was safe and well tolerated with no serious treatment-emergent adverse events (TEAEs), TEAEs leading to discontinuation, bleeding-related TEAEs, and no significant changes in coagulation parameters. DS-1040 did not prolong bleeding time when administered concomitantly with aspirin or clopidogrel. In the aspirin study, DS-1040 PK was evaluated following the concomitant administration with multiple-dose aspirin, where the plasma DS-1040 exposure (peak plasma concentration [C
max ] and area under the concentration-time curve [AUCinf ]) was to be similar to the data previously published in the first-in-human study of DS-1040 in healthy subjects. The PK parameters of DS-1040 coadministered with clopidogrel were similar to those of DS-1040 alone, with small increases in geometric means for Cmax (7%) and AUClast (9%). When coadministered with enoxaparin, the PK parameters of DS-1040 were not affected (1.1% and 1.5% decreases in geometric means for Cmax and AUClast , respectively). Therefore, concomitant administration of DS-1040 and clopidogrel or enoxaparin did not demonstrate PK drug-drug interactions., (© 2020, The American College of Clinical Pharmacology.)- Published
- 2020
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49. ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.
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Thompson PM, Jahanshad N, Ching CRK, Salminen LE, Thomopoulos SI, Bright J, Baune BT, Bertolín S, Bralten J, Bruin WB, Bülow R, Chen J, Chye Y, Dannlowski U, de Kovel CGF, Donohoe G, Eyler LT, Faraone SV, Favre P, Filippi CA, Frodl T, Garijo D, Gil Y, Grabe HJ, Grasby KL, Hajek T, Han LKM, Hatton SN, Hilbert K, Ho TC, Holleran L, Homuth G, Hosten N, Houenou J, Ivanov I, Jia T, Kelly S, Klein M, Kwon JS, Laansma MA, Leerssen J, Lueken U, Nunes A, Neill JO, Opel N, Piras F, Piras F, Postema MC, Pozzi E, Shatokhina N, Soriano-Mas C, Spalletta G, Sun D, Teumer A, Tilot AK, Tozzi L, van der Merwe C, Van Someren EJW, van Wingen GA, Völzke H, Walton E, Wang L, Winkler AM, Wittfeld K, Wright MJ, Yun JY, Zhang G, Zhang-James Y, Adhikari BM, Agartz I, Aghajani M, Aleman A, Althoff RR, Altmann A, Andreassen OA, Baron DA, Bartnik-Olson BL, Marie Bas-Hoogendam J, Baskin-Sommers AR, Bearden CE, Berner LA, Boedhoe PSW, Brouwer RM, Buitelaar JK, Caeyenberghs K, Cecil CAM, Cohen RA, Cole JH, Conrod PJ, De Brito SA, de Zwarte SMC, Dennis EL, Desrivieres S, Dima D, Ehrlich S, Esopenko C, Fairchild G, Fisher SE, Fouche JP, Francks C, Frangou S, Franke B, Garavan HP, Glahn DC, Groenewold NA, Gurholt TP, Gutman BA, Hahn T, Harding IH, Hernaus D, Hibar DP, Hillary FG, Hoogman M, Hulshoff Pol HE, Jalbrzikowski M, Karkashadze GA, Klapwijk ET, Knickmeyer RC, Kochunov P, Koerte IK, Kong XZ, Liew SL, Lin AP, Logue MW, Luders E, Macciardi F, Mackey S, Mayer AR, McDonald CR, McMahon AB, Medland SE, Modinos G, Morey RA, Mueller SC, Mukherjee P, Namazova-Baranova L, Nir TM, Olsen A, Paschou P, Pine DS, Pizzagalli F, Rentería ME, Rohrer JD, Sämann PG, Schmaal L, Schumann G, Shiroishi MS, Sisodiya SM, Smit DJA, Sønderby IE, Stein DJ, Stein JL, Tahmasian M, Tate DF, Turner JA, van den Heuvel OA, van der Wee NJA, van der Werf YD, van Erp TGM, van Haren NEM, van Rooij D, van Velzen LS, Veer IM, Veltman DJ, Villalon-Reina JE, Walter H, Whelan CD, Wilde EA, Zarei M, and Zelman V
- Subjects
- Brain diagnostic imaging, Humans, Magnetic Resonance Imaging, Neuroimaging, Reproducibility of Results, Depressive Disorder, Major genetics
- Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.
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- 2020
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50. The genetic architecture of the human cerebral cortex.
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Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAB, Shatokhina N, Zsembik LCP, Thomopoulos SI, Zhu AH, Strike LT, Agartz I, Alhusaini S, Almeida MAA, Alnæs D, Amlien IK, Andersson M, Ard T, Armstrong NJ, Ashley-Koch A, Atkins JR, Bernard M, Brouwer RM, Buimer EEL, Bülow R, Bürger C, Cannon DM, Chakravarty M, Chen Q, Cheung JW, Couvy-Duchesne B, Dale AM, Dalvie S, de Araujo TK, de Zubicaray GI, de Zwarte SMC, den Braber A, Doan NT, Dohm K, Ehrlich S, Engelbrecht HR, Erk S, Fan CC, Fedko IO, Foley SF, Ford JM, Fukunaga M, Garrett ME, Ge T, Giddaluru S, Goldman AL, Green MJ, Groenewold NA, Grotegerd D, Gurholt TP, Gutman BA, Hansell NK, Harris MA, Harrison MB, Haswell CC, Hauser M, Herms S, Heslenfeld DJ, Ho NF, Hoehn D, Hoffmann P, Holleran L, Hoogman M, Hottenga JJ, Ikeda M, Janowitz D, Jansen IE, Jia T, Jockwitz C, Kanai R, Karama S, Kasperaviciute D, Kaufmann T, Kelly S, Kikuchi M, Klein M, Knapp M, Knodt AR, Krämer B, Lam M, Lancaster TM, Lee PH, Lett TA, Lewis LB, Lopes-Cendes I, Luciano M, Macciardi F, Marquand AF, Mathias SR, Melzer TR, Milaneschi Y, Mirza-Schreiber N, Moreira JCV, Mühleisen TW, Müller-Myhsok B, Najt P, Nakahara S, Nho K, Olde Loohuis LM, Orfanos DP, Pearson JF, Pitcher TL, Pütz B, Quidé Y, Ragothaman A, Rashid FM, Reay WR, Redlich R, Reinbold CS, Repple J, Richard G, Riedel BC, Risacher SL, Rocha CS, Mota NR, Salminen L, Saremi A, Saykin AJ, Schlag F, Schmaal L, Schofield PR, Secolin R, Shapland CY, Shen L, Shin J, Shumskaya E, Sønderby IE, Sprooten E, Tansey KE, Teumer A, Thalamuthu A, Tordesillas-Gutiérrez D, Turner JA, Uhlmann A, Vallerga CL, van der Meer D, van Donkelaar MMJ, van Eijk L, van Erp TGM, van Haren NEM, van Rooij D, van Tol MJ, Veldink JH, Verhoef E, Walton E, Wang M, Wang Y, Wardlaw JM, Wen W, Westlye LT, Whelan CD, Witt SH, Wittfeld K, Wolf C, Wolfers T, Wu JQ, Yasuda CL, Zaremba D, Zhang Z, Zwiers MP, Artiges E, Assareh AA, Ayesa-Arriola R, Belger A, Brandt CL, Brown GG, Cichon S, Curran JE, Davies GE, Degenhardt F, Dennis MF, Dietsche B, Djurovic S, Doherty CP, Espiritu R, Garijo D, Gil Y, Gowland PA, Green RC, Häusler AN, Heindel W, Ho BC, Hoffmann WU, Holsboer F, Homuth G, Hosten N, Jack CR Jr, Jang M, Jansen A, Kimbrel NA, Kolskår K, Koops S, Krug A, Lim KO, Luykx JJ, Mathalon DH, Mather KA, Mattay VS, Matthews S, Mayoral Van Son J, McEwen SC, Melle I, Morris DW, Mueller BA, Nauck M, Nordvik JE, Nöthen MM, O'Leary DS, Opel N, Martinot MP, Pike GB, Preda A, Quinlan EB, Rasser PE, Ratnakar V, Reppermund S, Steen VM, Tooney PA, Torres FR, Veltman DJ, Voyvodic JT, Whelan R, White T, Yamamori H, Adams HHH, Bis JC, Debette S, Decarli C, Fornage M, Gudnason V, Hofer E, Ikram MA, Launer L, Longstreth WT, Lopez OL, Mazoyer B, Mosley TH, Roshchupkin GV, Satizabal CL, Schmidt R, Seshadri S, Yang Q, Alvim MKM, Ames D, Anderson TJ, Andreassen OA, Arias-Vasquez A, Bastin ME, Baune BT, Beckham JC, Blangero J, Boomsma DI, Brodaty H, Brunner HG, Buckner RL, Buitelaar JK, Bustillo JR, Cahn W, Cairns MJ, Calhoun V, Carr VJ, Caseras X, Caspers S, Cavalleri GL, Cendes F, Corvin A, Crespo-Facorro B, Dalrymple-Alford JC, Dannlowski U, de Geus EJC, Deary IJ, Delanty N, Depondt C, Desrivières S, Donohoe G, Espeseth T, Fernández G, Fisher SE, Flor H, Forstner AJ, Francks C, Franke B, Glahn DC, Gollub RL, Grabe HJ, Gruber O, Håberg AK, Hariri AR, Hartman CA, Hashimoto R, Heinz A, Henskens FA, Hillegers MHJ, Hoekstra PJ, Holmes AJ, Hong LE, Hopkins WD, Hulshoff Pol HE, Jernigan TL, Jönsson EG, Kahn RS, Kennedy MA, Kircher TTJ, Kochunov P, Kwok JBJ, Le Hellard S, Loughland CM, Martin NG, Martinot JL, McDonald C, McMahon KL, Meyer-Lindenberg A, Michie PT, Morey RA, Mowry B, Nyberg L, Oosterlaan J, Ophoff RA, Pantelis C, Paus T, Pausova Z, Penninx BWJH, Polderman TJC, Posthuma D, Rietschel M, Roffman JL, Rowland LM, Sachdev PS, Sämann PG, Schall U, Schumann G, Scott RJ, Sim K, Sisodiya SM, Smoller JW, Sommer IE, St Pourcain B, Stein DJ, Toga AW, Trollor JN, Van der Wee NJA, van 't Ent D, Völzke H, Walter H, Weber B, Weinberger DR, Wright MJ, Zhou J, Stein JL, Thompson PM, and Medland SE
- Subjects
- Attention Deficit Disorder with Hyperactivity genetics, Brain Mapping, Cognition, Genetic Loci, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Organ Size genetics, Parkinson Disease genetics, Cerebral Cortex anatomy & histology, Genetic Variation
- 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., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
- Published
- 2020
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