Author: "Sacchet M" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Sacchet M"' showing total 40 results

Start Over Author "Sacchet M"

40 results on '"Sacchet M"'

1. Neural Abnormalities Associated with Generalized Anxiety Disorder: A Meta-Analysis of Functional Magnetic Resonance Imaging Activation Studies

Author: Kahlon, S. K., primary, Ali, Z., additional, Pritchard, E., additional, Saravia, S., additional, Baten, C., additional, Klassen, A. M., additional, Shepherd, J. H., additional, Zamora, G., additional, Jordan, J., additional, Duran, M., additional, Santos, S. L., additional, Hedges, D. W., additional, Hamilton, J. P., additional, Sacchet, M. D., additional, and Miller, C. H., additional
Published: 2023
Full Text: View/download PDF

2. The Effects of Serotonergic Psychedelics on Neural Activity: A Meta-Analysis of Task-Based Functional Neuroimaging Studies

Author: Shepherd, J. H., primary, Baten, C., additional, Klassen, A., additional, Zamora, G., additional, Saravia, S., additional, Pritchard, E., additional, Ali, Z., additional, Kahlon, S. K., additional, Whitelock, K., additional, Reyes, F. A., additional, Hedges, D. W., additional, Hamilton, J. P., additional, Sacchet, M. D., additional, and Miller, C. H., additional
Published: 2023
Full Text: View/download PDF

3. Establishing Disorder-Specific and Transdiagnostic Neural Features of Psychiatric Disorders Through Large-Scale Functional Magnetic Resonance Imaging Meta-Analyses

Author: Miller, C. H., primary, Pritchard, E., additional, Saravia, S., additional, Duran, M., additional, Santos, S. L., additional, Hamilton, J. P., additional, Hedges, D. W., additional, Gotlib, I. H., additional, and Sacchet, M. D., additional
Published: 2023
Full Text: View/download PDF

4. Major Depressive Disorder in Youth: A Meta-Analysis of Functional Magnetic Resonance Imaging Studies

Author: Zamora, G., primary, Baten, C., additional, Klassen, A. M., additional, Shepherd, J. H., additional, Pritchard, E., additional, Saravia, S., additional, Ali, Z., additional, Jordan, J., additional, Kahlon, S. K., additional, Maly, G., additional, Duran, M., additional, Santos, S. L., additional, Nimarko, A. F., additional, Hedges, D. W., additional, Hamilton, J. P., additional, Gotlib, I. H., additional, Sacchet, M. D., additional, and Miller, C. H., additional
Published: 2023
Full Text: View/download PDF

5. Virtual Ontogeny of Cortical Growth Preceding Mental Illness

Author: Patel, Y, Shin, J, Abe, C, Agartz, I, Alloza, C, Alnaes, D, Ambrogi, S, Antonucci, LA, Arango, C, Arolt, V, Auzias, G, Ayesa-Arriola, R, Banaj, N, Banaschewski, T, Bandeira, C, Basgoze, Z, Cupertino, RB, Bau, CHD, Bauer, J, Baumeister, S, Bernardoni, F, Bertolino, A, del Mar Bonnin, C, Brandeis, D, Brem, S, Bruggemann, J, Bulow, R, Bustillo, JR, Calderoni, S, Calvo, R, Canales-Rodriguez, EJ, Cannon, DM, Carmona, S, Carr, VJ, Catts, SV, Chenji, S, Chew, QH, Coghill, D, Connolly, CG, Conzelmann, A, Craven, AR, Crespo-Facorro, B, Cullen, K, Dahl, A, Dannlowski, U, Davey, CG, Deruelle, C, Diaz-Caneja, CM, Dohm, K, Ehrlich, S, Epstein, J, Erwin-Grabner, T, Eyler, LT, Fedor, J, Fitzgerald, J, Foran, W, Ford, JM, Fortea, L, Fuentes-Claramonte, P, Fullerton, J, Furlong, L, Gallagher, L, Gao, B, Gao, S, Goikolea, JM, Gotlib, I, Goya-Maldonado, R, Grabe, HJ, Green, M, Grevet, EH, Groenewold, NA, Grotegerd, D, Gruber, O, Haavik, J, Hahn, T, Harrison, BJ, Heindel, W, Henskens, F, Heslenfeld, DJ, Hilland, E, Hoekstra, PJ, Hohmann, S, Holz, N, Howells, FM, Ipser, JC, Jahanshad, N, Jakobi, B, Jansen, A, Janssen, J, Jonassen, R, Kaiser, A, Kaleda, V, Karantonis, J, King, JA, Kircher, T, Kochunov, P, Koopowitz, S-M, Landen, M, Landro, NI, Lawrie, S, Lebedeva, I, Luna, B, Lundervold, AJ, MacMaster, FP, Maglanoc, LA, Mathalon, DH, McDonald, C, McIntosh, A, Meinert, S, Michie, PT, Mitchell, P, Moreno-Alcazar, A, Mowry, B, Muratori, F, Nabulsi, L, Nenadic, I, Tuura, RO, Oosterlaan, J, Overs, B, Pantelis, C, Parellada, M, Pariente, JC, Pauli, P, Pergola, G, Piarulli, FM, Picon, F, Piras, F, Pomarol-Clotet, E, Pretus, C, Quide, Y, Radua, J, Ramos-Quiroga, JA, Rasser, PE, Reif, A, Retico, A, Roberts, G, Rossell, S, Rovaris, DL, Rubia, K, Sacchet, M, Salavert, J, Salvador, R, Sarro, S, Sawa, A, Schall, U, Scott, R, Selvaggi, P, Silk, T, Sim, K, Skoch, A, Spalletta, G, Spaniel, F, Stein, DJ, Steinstrater, O, Stolicyn, A, Takayanagi, Y, Tamm, L, Tavares, M, Teumer, A, Thiel, K, Thomopoulos, SI, Tomecek, D, Tomyshev, AS, Tordesillas-Gutierrez, D, Tosetti, M, Uhlmann, A, Van Rheenen, T, Vazquez-Bourgon, J, Vernooij, MW, Vieta, E, Vilarroya, O, Weickert, C, Weickert, T, Westlye, LT, Whalley, H, Willinger, D, Winter, A, Wittfeld, K, Yang, TT, Yoncheva, Y, Zijlmans, JL, Hoogman, M, Franke, B, van Rooij, D, Buitelaar, J, Ching, CRK, Andreassen, OA, Pozzi, E, Veltman, D, Schmaal, L, van Erp, TGM, Turner, J, Castellanos, FX, Pausova, Z, Thompson, P, Paus, T, Patel, Y, Shin, J, Abe, C, Agartz, I, Alloza, C, Alnaes, D, Ambrogi, S, Antonucci, LA, Arango, C, Arolt, V, Auzias, G, Ayesa-Arriola, R, Banaj, N, Banaschewski, T, Bandeira, C, Basgoze, Z, Cupertino, RB, Bau, CHD, Bauer, J, Baumeister, S, Bernardoni, F, Bertolino, A, del Mar Bonnin, C, Brandeis, D, Brem, S, Bruggemann, J, Bulow, R, Bustillo, JR, Calderoni, S, Calvo, R, Canales-Rodriguez, EJ, Cannon, DM, Carmona, S, Carr, VJ, Catts, SV, Chenji, S, Chew, QH, Coghill, D, Connolly, CG, Conzelmann, A, Craven, AR, Crespo-Facorro, B, Cullen, K, Dahl, A, Dannlowski, U, Davey, CG, Deruelle, C, Diaz-Caneja, CM, Dohm, K, Ehrlich, S, Epstein, J, Erwin-Grabner, T, Eyler, LT, Fedor, J, Fitzgerald, J, Foran, W, Ford, JM, Fortea, L, Fuentes-Claramonte, P, Fullerton, J, Furlong, L, Gallagher, L, Gao, B, Gao, S, Goikolea, JM, Gotlib, I, Goya-Maldonado, R, Grabe, HJ, Green, M, Grevet, EH, Groenewold, NA, Grotegerd, D, Gruber, O, Haavik, J, Hahn, T, Harrison, BJ, Heindel, W, Henskens, F, Heslenfeld, DJ, Hilland, E, Hoekstra, PJ, Hohmann, S, Holz, N, Howells, FM, Ipser, JC, Jahanshad, N, Jakobi, B, Jansen, A, Janssen, J, Jonassen, R, Kaiser, A, Kaleda, V, Karantonis, J, King, JA, Kircher, T, Kochunov, P, Koopowitz, S-M, Landen, M, Landro, NI, Lawrie, S, Lebedeva, I, Luna, B, Lundervold, AJ, MacMaster, FP, Maglanoc, LA, Mathalon, DH, McDonald, C, McIntosh, A, Meinert, S, Michie, PT, Mitchell, P, Moreno-Alcazar, A, Mowry, B, Muratori, F, Nabulsi, L, Nenadic, I, Tuura, RO, Oosterlaan, J, Overs, B, Pantelis, C, Parellada, M, Pariente, JC, Pauli, P, Pergola, G, Piarulli, FM, Picon, F, Piras, F, Pomarol-Clotet, E, Pretus, C, Quide, Y, Radua, J, Ramos-Quiroga, JA, Rasser, PE, Reif, A, Retico, A, Roberts, G, Rossell, S, Rovaris, DL, Rubia, K, Sacchet, M, Salavert, J, Salvador, R, Sarro, S, Sawa, A, Schall, U, Scott, R, Selvaggi, P, Silk, T, Sim, K, Skoch, A, Spalletta, G, Spaniel, F, Stein, DJ, Steinstrater, O, Stolicyn, A, Takayanagi, Y, Tamm, L, Tavares, M, Teumer, A, Thiel, K, Thomopoulos, SI, Tomecek, D, Tomyshev, AS, Tordesillas-Gutierrez, D, Tosetti, M, Uhlmann, A, Van Rheenen, T, Vazquez-Bourgon, J, Vernooij, MW, Vieta, E, Vilarroya, O, Weickert, C, Weickert, T, Westlye, LT, Whalley, H, Willinger, D, Winter, A, Wittfeld, K, Yang, TT, Yoncheva, Y, Zijlmans, JL, Hoogman, M, Franke, B, van Rooij, D, Buitelaar, J, Ching, CRK, Andreassen, OA, Pozzi, E, Veltman, D, Schmaal, L, van Erp, TGM, Turner, J, Castellanos, FX, Pausova, Z, Thompson, P, and Paus, T
Abstract: BACKGROUND: Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life. METHODS: Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed. RESULTS: Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth. CONCLUSIONS: Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from t
Published: 2022

6. Virtual Ontogeny of Cortical Growth Preceding Mental Illness

Author: Patel, Y., Shin, J., Abé, C., Agartz, I., Alloza, C., Alnæs, D., Ambrogi, S., Antonucci, L.A., Arango, C., Arolt, V., Auzias, G., Ayesa-Arriola, R., Banaj, N., Banaschewski, T., Bandeira, C., Başgöze, Z., Cupertino, R.B., Bau, C.H.D., Bauer, J., Baumeister, S., Bernardoni, F., Bertolino, A., Bonnin, C.D.M., Brandeis, D., Brem, S., Bruggemann, J., Bülow, R., Bustillo, J.R., Calderoni, S., Calvo, R., Canales-Rodríguez, E.J., Cannon, D.M., Carmona, S., Carr, V.J., Catts, S.V., Chenji, S., Chew, Q.H., Coghill, D., Connolly, C.G., Conzelmann, A., Craven, A.R., Crespo-Facorro, B., Cullen, K., Dahl, A., Dannlowski, U., Davey, C.G., Deruelle, C., Díaz-Caneja, C.M., Dohm, K., Ehrlich, S., Epstein, J., Erwin-Grabner, T., Eyler, L.T., Fedor, J., Fitzgerald, J., Foran, W., Ford, J.M., Fortea, L., Fuentes-Claramonte, P., Fullerton, J., Furlong, L., Gallagher, L., Gao, B., Gao, S., Goikolea, J.M., Gotlib, I., Goya-Maldonado, R., Grabe, H.J., Green, M., Grevet, E.H., Groenewold, N.A., Grotegerd, D., Gruber, O., Haavik, J., Hahn, T., Harrison, B.J., Heindel, W., Henskens, F., Heslenfeld, D.J., Hilland, E., Hoekstra, P.J., Hohmann, S., Holz, N., Howells, F.M., Ipser, J.C., Jahanshad, N., Jakobi, B., Jansen, A., Janssen, J., Jonassen, R., Kaiser, A., Kaleda, V., Karantonis, J., King, J.A., Kircher, T., Kochunov, P., Koopowitz, S.-M., Landén, M., Landrø, N.I., Lawrie, S., Lebedeva, I., Luna, B., Lundervold, A.J., MacMaster, F.P., Maglanoc, L.A., Mathalon, D.H., McDonald, C., McIntosh, A., Meinert, S., Michie, P.T., Mitchell, P., Moreno-Alcázar, A., Mowry, B., Muratori, F., Nabulsi, L., Nenadić, I., O'Gorman Tuura, R., Oosterlaan, J., Overs, B., Pantelis, C., Parellada, M., Pariente, J.C., Pauli, P., Pergola, G., Piarulli, F.M., Picon, F., Piras, F., Pomarol-Clotet, E., Pretus, C., Quidé, Y., Radua, J., Ramos-Quiroga, J.A., Rasser, P.E., Reif, A., Retico, A., Roberts, G., Rossell, S., Rovaris, D.L., Rubia, K., Sacchet, M., Salavert, J., Salvador, R., Sarró, S., Sawa, A., Schall, U., Scott, R., Selvaggi, P., Silk, T., Sim, K., Skoch, A., Spalletta, G., Spaniel, F., Stein, D.J., Steinsträter, O., Stolicyn, A., Takayanagi, Y., Tamm, L., Tavares, M., Teumer, A., Thiel, K., Thomopoulos, S.I., Tomecek, D., Tomyshev, A.S., Tordesillas-Gutiérrez, D., Tosetti, M., Uhlmann, A., Van Rheenen, T., Vazquez-Bourgón, J., Vernooij, M.W., Vieta, E., Vilarroya, O., Weickert, C., Weickert, T., Westlye, L.T., Whalley, H., Willinger, D., Winter, A., Wittfeld, K., Yang, T.T., Yoncheva, Y., Zijlmans, J.L., Hoogman, M., Franke, B., van Rooij, D., Buitelaar, J., Ching, C.R.K., Andreassen, O.A., Pozzi, E., Veltman, D., Schmaal, L., van Erp, T.G.M., Turner, J., Castellanos, F.X., Pausova, Z., Thompson, P., Paus, T., Patel, Y., Shin, J., Abé, C., Agartz, I., Alloza, C., Alnæs, D., Ambrogi, S., Antonucci, L.A., Arango, C., Arolt, V., Auzias, G., Ayesa-Arriola, R., Banaj, N., Banaschewski, T., Bandeira, C., Başgöze, Z., Cupertino, R.B., Bau, C.H.D., Bauer, J., Baumeister, S., Bernardoni, F., Bertolino, A., Bonnin, C.D.M., Brandeis, D., Brem, S., Bruggemann, J., Bülow, R., Bustillo, J.R., Calderoni, S., Calvo, R., Canales-Rodríguez, E.J., Cannon, D.M., Carmona, S., Carr, V.J., Catts, S.V., Chenji, S., Chew, Q.H., Coghill, D., Connolly, C.G., Conzelmann, A., Craven, A.R., Crespo-Facorro, B., Cullen, K., Dahl, A., Dannlowski, U., Davey, C.G., Deruelle, C., Díaz-Caneja, C.M., Dohm, K., Ehrlich, S., Epstein, J., Erwin-Grabner, T., Eyler, L.T., Fedor, J., Fitzgerald, J., Foran, W., Ford, J.M., Fortea, L., Fuentes-Claramonte, P., Fullerton, J., Furlong, L., Gallagher, L., Gao, B., Gao, S., Goikolea, J.M., Gotlib, I., Goya-Maldonado, R., Grabe, H.J., Green, M., Grevet, E.H., Groenewold, N.A., Grotegerd, D., Gruber, O., Haavik, J., Hahn, T., Harrison, B.J., Heindel, W., Henskens, F., Heslenfeld, D.J., Hilland, E., Hoekstra, P.J., Hohmann, S., Holz, N., Howells, F.M., Ipser, J.C., Jahanshad, N., Jakobi, B., Jansen, A., Janssen, J., Jonassen, R., Kaiser, A., Kaleda, V., Karantonis, J., King, J.A., Kircher, T., Kochunov, P., Koopowitz, S.-M., Landén, M., Landrø, N.I., Lawrie, S., Lebedeva, I., Luna, B., Lundervold, A.J., MacMaster, F.P., Maglanoc, L.A., Mathalon, D.H., McDonald, C., McIntosh, A., Meinert, S., Michie, P.T., Mitchell, P., Moreno-Alcázar, A., Mowry, B., Muratori, F., Nabulsi, L., Nenadić, I., O'Gorman Tuura, R., Oosterlaan, J., Overs, B., Pantelis, C., Parellada, M., Pariente, J.C., Pauli, P., Pergola, G., Piarulli, F.M., Picon, F., Piras, F., Pomarol-Clotet, E., Pretus, C., Quidé, Y., Radua, J., Ramos-Quiroga, J.A., Rasser, P.E., Reif, A., Retico, A., Roberts, G., Rossell, S., Rovaris, D.L., Rubia, K., Sacchet, M., Salavert, J., Salvador, R., Sarró, S., Sawa, A., Schall, U., Scott, R., Selvaggi, P., Silk, T., Sim, K., Skoch, A., Spalletta, G., Spaniel, F., Stein, D.J., Steinsträter, O., Stolicyn, A., Takayanagi, Y., Tamm, L., Tavares, M., Teumer, A., Thiel, K., Thomopoulos, S.I., Tomecek, D., Tomyshev, A.S., Tordesillas-Gutiérrez, D., Tosetti, M., Uhlmann, A., Van Rheenen, T., Vazquez-Bourgón, J., Vernooij, M.W., Vieta, E., Vilarroya, O., Weickert, C., Weickert, T., Westlye, L.T., Whalley, H., Willinger, D., Winter, A., Wittfeld, K., Yang, T.T., Yoncheva, Y., Zijlmans, J.L., Hoogman, M., Franke, B., van Rooij, D., Buitelaar, J., Ching, C.R.K., Andreassen, O.A., Pozzi, E., Veltman, D., Schmaal, L., van Erp, T.G.M., Turner, J., Castellanos, F.X., Pausova, Z., Thompson, P., and Paus, T.
Abstract: Background: Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life. Methods: Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed. Results: Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth. Conclusions: Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from t
Published: 2022
Full Text: View/download PDF

7. Creare un Mood(le) Positivo per l’Apprendimento Asincrono: Esperienze e Buone Pratiche all’Università di Torino nell’Insegnamento Online della Matematica

Author: Marchisio, M., Sacchet, M., and Salusso, D.
Published: 2022

8. Evolution of teachers' perception of Automatic Formative Assessment during a training course

Author: Barana, A., Fissore, C., Marchisio, M., Roman, F., and Sacchet, M.
Subjects: Automatic Assessment, Formative Assessment, Mathematics Teaching, Teacher Training, Mathematics Teaching, Teacher Training, Formative Assessment, Automatic Assessment
Published: 2022

9. Concurrent antiepileptic and antipsychotic use moderates lithium’s effects on regional brain volumes: a mega-analysis from the ENIGMA-Bipolar Disorder Working Group

Author: King, S., Tronchin, G., Nabulsi, L., Thomopoulos, S.I., Fontana, E., Radua, J., Sim, K., Gruber, O., Yatham, L., Dannlowski, U., Kircher, T., Nenadic, I., Stein, F., Brosch, K., Howells, F., Haarman, B.C.M., Pomarol-Clotet, E., Vieta, E., Landen, M., Cannon, D., Alnæs, D., Westlye, L.T., Jaramillo, C. López, Soeiro-de-Souza, M. Gerhardt, Berk, M., Elvsåshagen, T., Roberts, G., Mitchell, P.B., Fullerton, J.M., Green, M.J., Quidé, Y., Hermesdorf, M., Berger, K., Soares, J., Satterthwaite, T., Savitz, J., Benedetti, F., Glahn, D., Hajek, T., Kuplicki, R., Gotlib, I.H., Amoretti, S., Sacchet, M., Favre, P., Van Rheenen, T., Karantonis, J. Anthony, Furlong, L., Forte, F., Rossell, S., Goldstein, B., Kennedy, K., Canales-Rodriguez, E., Lahud, E., Mwangi, B., Rodriguez-Cano, E., Salvador, R., Wu, M.-J., Houenou, J., Rodrigue, A., Melloni, E.M.T., Sponheim, S., Urosevic, S., Demro, C., Goya-Maldonado, R., Eyler, L., Thompson, P.M., Andreassan, O.A., Ching, C.R.K., and McDonald, C.
Published: 2022
Full Text: View/download PDF

10. ONLINE UNIVERSITY ORIENTATION MODELS FOR STUDENT TRANSITION BETWEEN SECONDARY AND TERTIARY EDUCATION

Author: Floris, F., Marchisio, M., Sacchet, M., Margaria, T., and Rabellino, S.
Subjects: Secondary to tertiary transition, Online orientation, University orientation, Digital learning environment, University admittance, University guidance
Published: 2021

11. LESSON LEARNED FROM AN EXPERIENCE OF TEACHING SUPPORT IN HIGHER EDUCATION FOR A DIGITAL TRANSITION IN THE NEW SCENARIO CREATED BY COVID-19

Author: Bruschi, B., Floris, F., Marchisio, M., and Sacchet, M.
Subjects: Digital education, Teacher support, Digital transition, Young assistants, Higher education
Published: 2021

12. Didattica Online: modello di formazione per docenti di ogni ordine e grado

Author: Fissore, C., Floris, F., Marchisio, M., Rabellino, S., and Sacchet, M.
Subjects: Tecnologie digitali, Didattica online, Competenze digitali, Comunità di apprendimento, Didattica online, Formazione docenti, Tecnologie digitali, Competenze digitali, Comunità di apprendimento, Formazione docenti
Published: 2021

13. Start@unito as Open Educational Practice in Higher Education

Author: Marchisio, M., Rabellino, S., and Sacchet, M.
Subjects: Start@unito, lcsh:Theory and practice of education, Open Educational Resources, Open Teaching, ComputingMilieux_COMPUTERSANDEDUCATION, Higher education, Open educational practices, Open educational resources, Open teaching, Higher Education, Open Educational Practices, lcsh:LB5-3640
Abstract: Open Educational Practices mainly refer to the use of Open Educational Resources, the adoption of innovative pedagogical models, and educators and learners’ engagement in both formal and non-formal learning settings (Cronin & MacLaren, 2018; Koseoglu & Bozkurt, 2018). There are many experiences of open education context all over the world, and international organizations are redefining concepts of education that contribute to a change of perspective (UNESCO, 2019). In the context of open education, start@unito is an experience that delivers 50 open online courses in a Digital Learning Environment. Moreover, start@unito teaching practices are devoted to improving actual and prospective university students’ learning and training, using innovative methodologies, like automatic formative assessment and adaptive teaching and learning, and technology, with advanced tools connected via an integrated system. This research analyzes the model of start@unito to show that it falls under the Open Educational Practices. The analysis compares the pedagogical strategies and evaluates adherence to the international OpenEdu Framework (Inamorato dos Santos et al., 2016). Quantitative and qualitative data promote the positivity of the start@unito experience. This research will show how such a model can improve OEP because of some of its peculiarities, such as the continuous availability and the use of adaptive methodologies., Journal of e-Learning and Knowledge Society, Vol 16 No 4 (2020): Journal of e-Learning and Knowledge Society - Special Issue on "Open Teaching"
Published: 2020

14. An Umbrella Review of Effectiveness of Intravenous Ketamine in Treatment-Resistant Depression.

Author: Klassen, A. M., Baten, C., Shepherd, J. H., Zamora, G., Johnson-Venegas, E., Madugula, S. S., Woo, E., Miller, J. A., Sacchet, M. D., Hedges, D. W., and Miller, C. H.
Subjects: TREATMENT effectiveness, MENTAL depression, RAPID response teams, SUICIDAL ideation, GLOBAL burden of disease, KETAMINE abuse
Abstract: Introduction: Major depressive disorder (MDD) is a tremendous global disease burden and the leading cause of disability worldwide. Unfortunately, individuals diagnosed with MDD typically experience a delayed response to traditional antidepressants and many do not adequately respond to pharmacotherapy, even after multiple trials. The critical need for novel antidepressant treatments has led to a recent resurgence in the clinical application of psychedelics, and intravenous ketamine, which has been investigated as a rapid-acting treatment for treatment resistant depression (TRD) as well acute suicidal ideation and behavior. However, variations in the type and quality of experimental design as well as a range of treatment outcomes in clinical trials of ketamine make interpretation of this large body of literature challenging. Objectives: This umbrella review aims to advance our understanding of the effectiveness of intravenous ketamine as a pharmacotherapy for TRD by providing a systematic, quantitative, large-scale synthesis of the empirical literature. Methods: We performed a comprehensive PubMed search for peer-reviewed meta-analyses of primary studies of intravenous ketamine used in the treatment of TRD. Meta-analysis and primary studies were then screened by two independent coding teams according to pre-established inclusion criteria as well as PRISMA and METRICS guidelines. We then employed metaumbrella, a statistical package developed in R, to perform effect size calculations and conversions as well as statistical tests. Results: In a large-scale analysis of 1,182 participants across 51 primary studies, repeated-dose administration of intravenous ketamine demonstrated statistically significant effects (p<0.05) compared to placebo-controlled as well as other experimental conditions in patients with TRD, as measured by standardized clinician-administered and self-report depression symptom severity scales. Conclusions: This study provides large-scale, quantitative support for the effectiveness of intravenous, repeated-dose ketamine as a therapy for TRD and a report of the relative effectiveness of several treatment parameters across a large and rapidly growing literature. Future investigations should use similar analytic tools to examine evidence-stratified conditions and the comparative effectiveness of other routes of administration and treatment schedules as well as the moderating influence of other clinical and demographic variables on the effectiveness of ketamine on TRD and suicidal ideation and behavior. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

15. Open Online Courses and online teaching in Higher Education: the framework of Start@unito and the support during Covid-19 pandemic

Author: Bruschi, B., Marchisio, M., and Sacchet, M.
Published: 2020

16. Learning analytics to evaluate the effectiveness of higher education student failure prevention

Author: Floris, F., Marina MARCHISIO, Sacchet, M., and Rabellino, S.
Subjects: University Orientation, MOOCs, University Guidance, Data Analytics, Data Analytics, Learning Analytics, MOOCs, Secondary to Tertiary Transition, University Guidance, University Orientation, Learning Analytics, Secondary to Tertiary Transition
Published: 2020

17. A Comparison of Quantitative R1 and Cortical Thickness in Identifying Age, Lifespan Dynamics, and Disease States of the Human Cortex

Author: Erramuzpe, A, primary, Schurr, R, additional, Yeatman, J D, additional, Gotlib, I H, additional, Sacchet, M D, additional, Travis, K E, additional, Feldman, H M, additional, and Mezer, A A, additional
Published: 2020
Full Text: View/download PDF

18. Start@unito underground map for an e-learning trip

Author: Marchisio, M., Rabellino, S., Sacchet, M., and Salusso, D.
Subjects: Digital Education, Start@unito, Online platform, Tertiary Education, Underground map, Digital Education, Online platform, Start@unito, Underground map, Tertiary Education
Published: 2019

19. CINQUE STRATEGIE ADAPTIVE PER L’APPRENDIMENTO IN UN AMBIENTE VIRTUALE

Author: Marchisio, M., Margaria, T., Rabellino, S., and Sacchet, M.
Subjects: tecnologia, Adaptive learning, Adaptive learning, educazione, online, tecnologia, start@unito, educazione, online, start@unito
Published: 2019

20. Neural Abnormalities in Bipolar Disorder: A Meta-Analysis of Functional Neuroimaging Studies.

Author: Herrera, S. J., Reyes, F. A., Johnson-Venegas, G., Baten, C., Zamora, G., Klassen, A. M., Miller, J. A., Woo, E., Hedges, D. W., Hamilton, P. J., Gotlib, I. H., Sacchet, M. D., and Miller, C. H.
Subjects: FUNCTIONAL magnetic resonance imaging, MONTE Carlo method, BRAIN stimulation, RAPID response teams, BIPOLAR disorder, HYPOMANIA
Abstract: Introduction: Bipolar I disorder (BD-I) is a chronic and recurrent mood disorder characterized by alternating episodes of depression and mania; it is also associated with substantial morbidity and mortality and with clinically significant functional impairments. While previous studies have used functional magnetic resonance imaging (fMRI) to examine neural abnormalities associated with BD-I, they have yielded mixed findings, perhaps due to differences in sampling and experimental design, including highly variable mood states at the time of scan. Objectives: The purpose of this study is to advance our understanding of the neural basis of BD-I and mania, as measured by fMRI activation studies, and to inform the development of more effective brain-based diagnostic systems and clinical treatments. Methods: We conducted a large-scale meta-analysis of whole-brain fMRI activation studies that compared participants with BD-I, assessed during a manic episode, to age-matched healthy controls. Following PRISMA guidelines, we conducted a comprehensive PubMed literature search using two independent coding teams to evaluate primary studies according to pre-established inclusion criteria. We then used multilevel kernel density analysis (MKDA), a well-established, voxel-wise, whole-brain, meta-analytic approach, to quantitatively synthesize all qualifying primary fMRI activation studies of mania. We used ensemble thresholding (p<0.05-0.0001) to minimize cluster size detection bias, and 10,000 Monte Carlo simulations to correct for multiple comparisons. Results: We found that participants with BD-I (N=2,042), during an active episode of mania and relative to age-matched healthy controls (N=1,764), exhibit a pattern of significantly (p<0.05-0.0001; FWE-corrected) different activation in multiple brain regions of the cerebral cortex and basal ganglia across a variety of experimental tasks. Conclusions: This study supports the formulation of a robust neural basis for BD-I during manic episodes and advances our understanding of the pattern of abnormal activation in this disorder. These results may inform the development of novel brain-based clinical tools for bipolar disorder such as diagnostic biomarkers, non-invasive brain stimulation, and treatment-matching protocols. Future studies should compare the neural signatures of BD-I to other related disorders to facilitate the development of protocols for differential diagnosis and improve treatment outcomes in patients with BD-I. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

21. A Meta-Analysis of fMRI Activation Studies of Ketamine in Healthy Participants.

Author: Shepherd, J. H., Hickman, A., Baten, C., Klassen, A. M., Zamora, G., Johnson-Venegas, E., Madugula, S. S., Woo, E., Miller, J. A., Sacchet, M. D., Hedges, D. W., and Miller, C. H.
Subjects: FUNCTIONAL magnetic resonance imaging, MONTE Carlo method, SUICIDAL ideation, SUICIDAL behavior, KETAMINE, KETAMINE abuse
Abstract: Introduction: There has been rapidly growing interest in understanding the pharmaceutical and clinical properties of psychedelic and dissociative drugs, with a particular focus on ketamine. This compound, long known for its anesthetic and dissociative properties, has garnered attention due to its potential to rapidly alleviate symptoms of depression, especially in individuals with treatment-resistant depression (TRD) or acute suicidal ideation or behavior. However, while ketamine's psychopharmacological effects are increasingly well-documented, the specific patterns of its neural impact remain a subject of exploration and basic questions remain about its effects on functional activation in both clinical and healthy populations. Objectives: This meta-analysis seeks to contribute to the evolving landscape of neuroscience research on dissociative drugs such as ketamine by comprehensively examining the effects of acute ketamine administration on neural activation, as measured by functional magnetic resonance imaging (fMRI), in healthy participants. Methods: We conducted a meta-analysis of existing fMRI activation studies of ketamine using multilevel kernel density analysis (MKDA). Following a comprehensive PubMed search, we quantitatively synthesized all published primary fMRI whole-brain activation studies of the effects of ketamine in healthy subjects with no overlapping samples (N=18). This approach also incorporated ensemble thresholding (α=0.05-0.0001) to minimize cluster-size detection bias and Monte Carlo simulations to correct for multiple comparisons. Results: Our meta-analysis revealed statistically significant (p<0.05-0.0001; FWE-corrected) alterations in neural activation in multiple cortical and subcortical regions following the administration of ketamine to healthy participants (N=306). Conclusions: These results offer valuable insights into the functional neuroanatomical effects caused by acute ketamine administration. These findings may also inform development of therapeutic applications of ketamine for various psychiatric and neurological conditions. Future studies should investigate the neural effects of ketamine administration, including both short-term and long-term effects, in clinical populations and their relation to clinical and functional improvements. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

22. Neural Abnormalities in Panic Disorder and Agoraphobia: A Meta-Analysis of Functional Activation Studies.

Author: Baten, C., Klassen, A. M., Zamora, G., Shepherd, J. H., Badawia, A., Kailay, A., Leung, C. R., Sahota, J., Saravia, S., Miller, J. A., Hamilton, P., Sacchet, M. D., Gotlib, I. H., Woo, E., Hedges, D. W., and Miller, C. H.
Subjects: FUNCTIONAL magnetic resonance imaging, MONTE Carlo method, PANIC disorders, BRAIN stimulation, RAPID response teams, ANXIETY disorders, AGORAPHOBIA
Abstract: Introduction: Panic disorder (PD) and agoraphobia (AG) are highly comorbid anxiety disorders with an increasing prevalence that have a significant clinical and public health impact but are not adequately recognized and treated. Although the current functional neuroimaging literature has documented a range of neural abnormalities in these disorders, primary studies are often not sufficiently powered and their findings have been inconsistent. Objectives: This meta-analysis aims to advance our understanding of the neural underpinnings of PD and AG by identifying the most robust patterns of differential neural activation that differentiate individuals diagnosed with one of or both these disorders from age-matched healthy controls. Methods: We conducted a comprehensive literature search in the PubMed database for all peer-reviewed, whole-brain, task-based functional magnetic resonance imaging (fMRI) activation studies that compared adults diagnosed with PD and/or AG with age-matched healthy controls. Each of these articles was screened by two independent coding teams using formal inclusion criteria and according to current PRISMA guidelines. We then performed a voxelwise, whole-brain, meta-analytic comparison of PD/AG participants with age-matched healthy controls using multilevel kernel density analysis (MKDA) with ensemble thresholding (p<0.05-0.0001) to minimize cluster size detection bias and 10,000 Monte Carlo simulations to correct for multiple comparisons. Results: With data from 34 primary studies and a substantial sample size (N=2138), PD/AG participants, relative to age-matched healthy controls, exhibited a reliable pattern of statistically significant, (p<.05-0.0001; FWE-corrected) abnormal neural activation in multiple brain regions of the cerebral cortex and basal ganglia across a variety of experimental tasks. Conclusions: In this meta-analysis we found robust patterns of differential neural activation in participants diagnosed with PD/AG relative to age-matched healthy controls. These findings advance our understanding of the neural underpinnings of PD and AG and inform the development of brain-based clinical interventions such as non-invasive brain stimulation (NIBS) and treatment prediction and matching algorithms. Future studies should also investigate the neural similarities and differences between PD and AG to increase our understanding of possible differences in their etiology, diagnosis, and treatment. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]
Published: 2024
Full Text: View/download PDF

23. A Comparison of Quantitative R1 and Cortical Thickness in Identifying Age, Lifespan Dynamics, and Disease States of the Human Cortex.

Author: Erramuzpe, A, Schurr, R, Yeatman, J D, Gotlib, I H, Sacchet, M D, Travis, K E, Feldman, H M, and Mezer, A A
Published: 2021
Full Text: View/download PDF

24. Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

Author: Zhu, D., Riedel, B. C., Jahanshad, N., Groenewold, N. A., Stein, D.J., Gotlib, I. H., Sacchet, M. D., Dima, D., Cole, J. H., Fu, C. H. Y., Walter, H., Veer, I. M., Frodl, T., Schmaal, L., Veltman, D.J., and Thompson, P.M.
Subjects: ComputingMethodologies_PATTERNRECOGNITION, RC0321, BF
Abstract: Large-scale collaborative analysis of brain imaging data, in psychiatry and neurology, offers a new source of statistical power to discover features that boost accuracy in disease classification, differential diagnosis, and outcome prediction. However, due to data privacy regulations or limited accessibility to large datasets across the world, it is challenging to efficiently integrate distributed information. Here we propose a novel classification framework through multi-site weighted LASSO: each site performs an iterative weighted LASSO for feature selection separately. Within each iteration, the classification result and the selected features are collected to update the weighting parameters for each feature. This new weight is used to guide the LASSO process at the next iteration. Only the features that help to improve the classification accuracy are preserved. In tests on data from five sites (299 patients with major depressive disorder (MDD) and 258 normal controls), our method boosted classification accuracy for MDD by 4.9% on average. This result shows the potential of the proposed new strategy as an effective and practical collaborative platform for machine learning on large scale distributed imaging and biobank data.
Published: 2017

25. Accelerated DNA methylation age in adolescent girls: associations with elevated diurnal cortisol and reduced hippocampal volume

Author: Davis, E G, primary, Humphreys, K L, additional, McEwen, L M, additional, Sacchet, M D, additional, Camacho, M C, additional, MacIsaac, J L, additional, Lin, D T S, additional, Kobor, M S, additional, and Gotlib, I H, additional
Published: 2017
Full Text: View/download PDF

26. Peripheral telomere length and hippocampal volume in adolescents with major depressive disorder.

Author: Henje Blom, Eva, Han, L K M, Connolly, C G, Ho, T C, Lin, J, LeWinn, K Z, Simmons, A N, Sacchet, M D, Mobayed, N, Luna, M E, Paulus, M, Epel, E S, Blackburn, E H, Wolkowitz, O M, Yang, T T, Henje Blom, Eva, Han, L K M, Connolly, C G, Ho, T C, Lin, J, LeWinn, K Z, Simmons, A N, Sacchet, M D, Mobayed, N, Luna, M E, Paulus, M, Epel, E S, Blackburn, E H, Wolkowitz, O M, and Yang, T T
Abstract: Several studies have reported that adults with major depressive disorder have shorter telomere length and reduced hippocampal volumes. Moreover, studies of adult populations without major depressive disorder suggest a relationship between peripheral telomere length and hippocampal volume. However, the relationship of these findings in adolescents with major depressive disorder has yet to be explored. We examined whether adolescent major depressive disorder is associated with altered peripheral telomere length and hippocampal volume, and whether these measures relate to one another. In 54 unmedicated adolescents (13-18 years) with major depressive disorder and 63 well-matched healthy controls, telomere length was assessed from saliva using quantitative polymerase chain reaction methods, and bilateral hippocampal volumes were measured with magnetic resonance imaging. After adjusting for age and sex (and total brain volume in the hippocampal analysis), adolescents with major depressive disorder exhibited significantly shorter telomere length and significantly smaller right, but not left hippocampal volume. When corrected for age, sex, diagnostic group and total brain volume, telomere length was not significantly associated with left or right hippocampal volume, suggesting that these cellular and neural processes may be mechanistically distinct during adolescence. Our findings suggest that shortening of telomere length and reduction of hippocampal volume are already present in early-onset major depressive disorder and thus unlikely to be only a result of accumulated years of exposure to major depressive disorder.
Published: 2015
Full Text: View/download PDF

27. Peripheral telomere length and hippocampal volume in adolescents with major depressive disorder

Author: Henje Blom, E, primary, Han, L K M, additional, Connolly, C G, additional, Ho, T C, additional, Lin, J, additional, LeWinn, K Z, additional, Simmons, A N, additional, Sacchet, M D, additional, Mobayed, N, additional, Luna, M E, additional, Paulus, M, additional, Epel, E S, additional, Blackburn, E H, additional, Wolkowitz, O M, additional, and Yang, T T, additional
Published: 2015
Full Text: View/download PDF

28. P113. Learning volitional control of functional connectivity: Effects on behaviour

Author: Kajal, D. Singh, primary, Mellinger, J., additional, Ruiz, S., additional, Sacchet, M., additional, Fetz, E., additional, Birbaumer, N., additional, Sitaram, R., additional, and Braun, C., additional
Published: 2015
Full Text: View/download PDF

29. Attention Drives Synchronization of Alpha and Beta Rhythms between Right Inferior Frontal and Primary Sensory Neocortex

Author: Sacchet, M. D., primary, LaPlante, R. A., additional, Wan, Q., additional, Pritchett, D. L., additional, Lee, A. K. C., additional, Hamalainen, M., additional, Moore, C. I., additional, Kerr, C. E., additional, and Jones, S. R., additional
Published: 2015
Full Text: View/download PDF

30. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group

Author: Schmaal, L, Hibar, D P, Sämann, P G, Hall, G B, Baune, B T, Jahanshad, N, Cheung, J W, van Erp, T G M, Bos, D, Ikram, M A, Vernooij, M W, Niessen, W J, Tiemeier, H, Hofman, A, Wittfeld, K, Grabe, H J, Janowitz, D, Bülow, R, Selonke, M, Völzke, H, Grotegerd, D, Dannlowski, U, Arolt, V, Opel, N, Heindel, W, Kugel, H, Hoehn, D, Czisch, M, Couvy-Duchesne, B, Rentería, M E, Strike, L T, Wright, M J, Mills, N T, de Zubicaray, G I, McMahon, K L, Medland, S E, Martin, N G, Gillespie, N A, Goya-Maldonado, R, Gruber, O, Krämer, B, Hatton, S N, Lagopoulos, J, Hickie, I B, Frodl, T, Carballedo, A, Frey, E M, van Velzen, L S, Penninx, B W J H, van Tol, M-J, van der Wee, N J, Davey, C G, Harrison, B J, Mwangi, B, Cao, B, Soares, J C, Veer, I M, Walter, H, Schoepf, D, Zurowski, B, Konrad, C, Schramm, E, Normann, C, Schnell, K, Sacchet, M D, Gotlib, I H, MacQueen, G M, Godlewska, B R, Nickson, T, McIntosh, A M, Papmeyer, M, Whalley, H C, Hall, J, Sussmann, J E, Li, M, Walter, M, Aftanas, L, Brack, I, Bokhan, N A, Thompson, P M, and Veltman, D J
Abstract: The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen’s d effect sizes: −0.10 to −0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: −0.26 to −0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
Published: 2017
Full Text: View/download PDF

31. Basic mathematical modelling competencies for non-stem higher education

Author: Marchisio, M., FABIO ROMAN, and Sacchet, M.
Subjects: Modelling Process, Mathematical Modelling, STEM Education, Higher Education, Mathematics Education, Modelling Mistakes

32. Cortical Abnormalities in Adults and Adolescents with Major Depression based on Brain Scans from 20 Cohorts Worldwide in the ENIGMA Major Depressive Disorder Working Group

Author: Sacchet, M D, Cao, B, Normann, C, Van Velzen, L S, Vernooij, M W, Couvy-Duchesne, B, Schmaal, L, Konrad, C, Carballedo, A, Godlewska, B R, Zurowski, B, Dannlowski, U, Soares, J C, Schoepf, D, McMahon, K L, Nickson, T, Goya-Maldonado, R, Mwangi, B, Medland, S E, Mills, N T, Tiemeier, H, Whalley, H C, Bülow, R, McIntosh, A M, Czisch, M, Kugel, H, Niessen, W J, Krämer, B, De Zubicaray, G I, Hickie, I B, Frodl, T, Van Erp, T G M, Gotlib, I H, Van Tol, M-J, Baune, B T, Heindel, W, Gillespie, N A, Lagopoulos, J, Hofman, A, Wittfeld, K, Sussmann, J E, Van Der Wee, N J, Grabe, H J, Brack, I, Gruber, O, Opel, N, Janowitz, D, Selonke, M, Martin, N G, Arolt, V, Renteria, M E, Phenninx, B W J H, Veer, I M, Hatton, S N, Veltman, D J, Cheung, J W, Hall, J, Walter, H, MacQueen, G M, Frey, E M, Hibar, D P, Li, M, Bokhan, N A, Ikram, M A, Papmeyer, Martina, Jahanshad, N, Hoehn, D, Bos, D, Thompson, P M, Harrison, B J, Grotegerd, D, Aftanas, L, Schnell, K, Walter, M, Hall, G B, Davey, C G, Sämann, P G, Wright, M J, Strike, L T, Schramm, E, and Völzke, H
Subjects: mental disorders, 610 Medicine & health, behavioral disciplines and activities, 3. Good health
Abstract: The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen’s d effect sizes: −0.10 to −0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: −0.26 to −0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.

33. Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years

Author: Dima, D., Papachristou, E., Modabbernia, A., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. N., Albajes-Eizagirre, A., Alnæs, D., Alpert, K. I., Andersson, M., Andreasen, N., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D. I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D. M., Caseras, X., Castellanos, F. X., Cervenka, S., Chaim-Avancini, T. M., Ching, C. R. K., Clark, V. P., Conrod, P., Conzelmann, A., Crespo-Facorro, B., Crivello, F., Crone, E. A. M., Dale, A. M., Davey, C., de Geus, E. J. C., de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N. T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros-Bergman, H., Fisher, S. E., Fouche, J-P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H-J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I. B., Ho, B-C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Kang, S., Klein, M., Klushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lázaro, L., Lebedeva, I., Lee, W. H., Lesch, K-P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N. G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A. M., McMahon, K. L., McPhilemy, G., Menchón, J. M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., de la Foz, V. O-G., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Smoller, J. W., Sommer, I., Soriano-Mas, C., Stein, D. J., Strike, L. T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S. I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J. N., Turner, J. A., Uhlmann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van ’t Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J. D., Westlye, L. T., Whalley, H., Wierenga, L. M., Williams, S. C. R., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Thompson, P. M., and Frangou, S.
Subjects: nervous system, BF
Abstract: Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalised on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine the age-related morphometric trajectories of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3-90 years. All subcortical structure volumes were at their maximum early in life; the volume of the basal ganglia showed a gradual monotonic decline thereafter while the volumes of the thalamus, amygdala and the hippocampus remained largely stable (with some degree of decline in thalamus) until the sixth decade of life followed by a steep decline thereafter. The lateral ventricles showed a trajectory of continuous enlargement throughout the lifespan. Significant age-related increase in inter-individual variability was found for the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to derive risk predictions for the early identification of diverse clinical phenotypes.

34. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years

Author: Dima, D., Modabbernia, A., Papachristou4, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, Theophilus. N., Albajes-Eizagirre, A., Alnaes, D, Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D. I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D. M., Caseras, X., Castellanos, F. X., Cervenka, S, Chaim-Avancini, T. M., Ching, C. R. K., Chubar, V., Clark, V. P., Conrod, P., Conzelmann, A., Crespo-Facorro, B, Crivello, F., Crone, E. A., Dale, A. M., Davey, C., de Geus, E. J. C, de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N. T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros- Bergman, H., Fisher, S. E., Fouche, J. P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H. J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I. B., Ho, B. C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jernigan, T. L., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Klein, M., Klyushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lázaro, L., Lebedeva, I., Lee, W. H., Lesch, K. P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N. G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A. M., McMahon, K. L., McPhilemy, G., Menchón, J. M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Ortiz-García de la Foz, V., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Rinker, D. A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Sim, K., Smoller, J. W., Sommer, I., Soriano-Mas, C., Stein, D. J., Strike, L. T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S. I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J. N., Turner, J. A., Uhimann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van't Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Voineskos, A., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J. D., Westlye, L. T., Whalley, H., Wierenga, L. M., Williams, S. C. R., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Thompson, P. M., Frangou, S., Karolinska Schizophrenia Project (KaSP), Dima, D., Modabbernia, A., Papachristou4, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, Theophilus. N., Albajes-Eizagirre, A., Alnaes, D, Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D. I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D. M., Caseras, X., Castellanos, F. X., Cervenka, S, Chaim-Avancini, T. M., Ching, C. R. K., Chubar, V., Clark, V. P., Conrod, P., Conzelmann, A., Crespo-Facorro, B, Crivello, F., Crone, E. A., Dale, A. M., Davey, C., de Geus, E. J. C, de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N. T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros- Bergman, H., Fisher, S. E., Fouche, J. P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H. J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I. B., Ho, B. C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jernigan, T. L., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Klein, M., Klyushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lázaro, L., Lebedeva, I., Lee, W. H., Lesch, K. P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N. G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A. M., McMahon, K. L., McPhilemy, G., Menchón, J. M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Ortiz-García de la Foz, V., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Rinker, D. A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Sim, K., Smoller, J. W., Sommer, I., Soriano-Mas, C., Stein, D. J., Strike, L. T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S. I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J. N., Turner, J. A., Uhimann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van't Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Voineskos, A., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J. D., Westlye, L. T., Whalley, H., Wierenga, L. M., Williams, S. C. R., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Thompson, P. M., Frangou, S., and Karolinska Schizophrenia Project (KaSP)
Abstract: Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to examine age‐related trajectories inferred from cross‐sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter‐individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age‐related morphometric patterns.

35. Cortical Thickness across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

Author: Frangou, S., Modabbernia, A., Williams, S.C.R., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T.N., Albajes-Eizagirre, A., Alnæs, D., Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O.A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D.I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D.M., Caseras, X., Castellanos, F. X., Cervenka, S, Chaim-Avancini, T. M., Ching, C. R. K., Chubar, V., Clark, V.P., Conrod, P., Conzelmann, A., Crespo-Facorro, B, Crivello, F., Crone, E. A., Dale, A. M., Davey, C., de Geus, E. J. C, de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N.T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros-Bergman, H., Fisher, S. E., Fouche, J. P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H.J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I.B., Ho, B.C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jernigan, T. L., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Klein, M., Klyushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lazaro, L., Lebedeva, I., Lee, W. H., Lesch, K. P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N.G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A.M., McMahon, K. L., McPhilemy, G., Menchón, J.M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Ortiz-García de la Foz, V., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Rinker, D. A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Sim, K., Smoller, J.W., Sommer, I., Soriano-Mas, C., Stein, D.J., Strike, L.T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S.I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J.N., Turner, J.A., Uhlmann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van 't Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Voineskos, A., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J.D., Westlye, L. T., Whalley, H., Wierenga, L. M., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Karolinska Schizophrenia Project, K.a.S.P., Thompson, P.M., Dima, D., Frangou, S., Modabbernia, A., Williams, S.C.R., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T.N., Albajes-Eizagirre, A., Alnæs, D., Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O.A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D.I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D.M., Caseras, X., Castellanos, F. X., Cervenka, S, Chaim-Avancini, T. M., Ching, C. R. K., Chubar, V., Clark, V.P., Conrod, P., Conzelmann, A., Crespo-Facorro, B, Crivello, F., Crone, E. A., Dale, A. M., Davey, C., de Geus, E. J. C, de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N.T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros-Bergman, H., Fisher, S. E., Fouche, J. P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H.J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I.B., Ho, B.C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jernigan, T. L., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Klein, M., Klyushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lazaro, L., Lebedeva, I., Lee, W. H., Lesch, K. P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N.G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A.M., McMahon, K. L., McPhilemy, G., Menchón, J.M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Ortiz-García de la Foz, V., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Rinker, D. A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Sim, K., Smoller, J.W., Sommer, I., Soriano-Mas, C., Stein, D.J., Strike, L.T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S.I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J.N., Turner, J.A., Uhlmann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van 't Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Voineskos, A., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J.D., Westlye, L. T., Whalley, H., Wierenga, L. M., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Karolinska Schizophrenia Project, K.a.S.P., Thompson, P.M., and Dima, D.
Abstract: Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large‐scale studies. In response, we used cross‐sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to infer age‐related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta‐analysis and one‐way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

36. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

Author: Committee, Writing, Disorder, Autism Spectrum, French, Leon, Grevet, Eugenio H, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Guerrero-Pedraza, Amalia, Gur, Raquel E, Gur, Ruben C, Haar, Shlomi, Haarman, Bartholomeus C M, Thomopoulos, Sophia I, Haavik, Jan, Hahn, Tim, Hajek, Tomas, Harrison, Benjamin J, Harrison, Neil A, Hartman, Catharina A, Whalley, Heather C, Heslenfeld, Dirk J, Hibar, Derrek P, Hilland, Eva, Pozzi, Elena, Hirano, Yoshiyuki, Ho, Tiffany C, Hoekstra, Pieter J, Hoekstra, Liesbeth, Hohmann, Sarah, Hong, L. E., Höschl, Cyril, Høvik, Marie F, Howells, Fleur M, Nenadic, Igor, Abe, Yoshinari, Jalbrzikowski, Maria, James, Anthony C, Janssen, Joost, Jaspers-Fayer, Fern, Xu, Jian, Jonassen, Rune, Karkashadze, Georgii, King, Joseph A, Kircher, Tilo, Kirschner, Matthias, Abé, Christoph, Koch, Kathrin, Kochunov, Peter, Kohls, Gregor, Konrad, Kerstin, Krämer, Bernd, Krug, Axel, Kuntsi, Jonna, Kwon, Jun Soo, Landén, Mikael, Landrø, Nils I, Anticevic, Alan, Lazaro, Luisa, Lebedeva, Irina S, Leehr, Elisabeth J, Lera-Miguel, Sara, Lesch, Klaus-Peter, Lochner, Christine, Louza, Mario R, Luna, Beatriz, Lundervold, Astri J, MacMaster, Frank P, Alda, Martin, Maglanoc, Luigi A, Malpas, Charles B, Portella, Maria J, Marsh, Rachel, Martyn, Fiona M, Mataix-Cols, David, Mathalon, Daniel H, McCarthy, Hazel, McDonald, Colm, McPhilemy, Genevieve, Aleman, Andre, Meinert, Susanne, Menchón, José M, Minuzzi, Luciano, Mitchell, Philip B, Moreno, Carmen, Morgado, Pedro, Muratori, Filippo, Murphy, Clodagh M, Murphy, Declan, Mwangi, Benson, Alloza, Clara, Nabulsi, Leila, Nakagawa, Akiko, Nakamae, Takashi, Namazova, Leyla, Narayanaswamy, Janardhanan, Jahanshad, Neda, Nguyen, Danai D, Nicolau, Rosa, O'Gorman Tuura, Ruth L, O'Hearn, Kirsten, Alonso-Lana, Silvia, Oosterlaan, Jaap, Opel, Nils, Ophoff, Roel A, Oranje, Bob, García de la Foz, Victor Ortiz, Overs, Bronwyn J, Paloyelis, Yannis, Pantelis, Christos, Parellada, Mara, Pauli, Paul, Disorder, Bipolar, Ameis, Stephanie H, Picó-Pérez, Maria, Picon, Felipe A, Piras, Fabrizio, Piras, Federica, Plessen, Kerstin J, Pomarol-Clotet, Edith, Preda, Adrian, Puig, Olga, Quidé, Yann, Radua, Joaquim, Anagnostou, Evdokia, Ramos-Quiroga, J Antoni, Rasser, Paul E, Rauer, Lisa, Reddy, Janardhan, Redlich, Ronny, Reif, Andreas, Reneman, Liesbeth, Repple, Jonathan, Retico, Alessandra, Richarte, Vanesa, McIntosh, Andrew A, Richter, Anja, Rosa, Pedro G P, Rubia, Katya K, Hashimoto, Ryota, Sacchet, Matthew D, Salvador, Raymond, Santonja, Javier, Sarink, Kelvin, Sarró, Salvador, Satterthwaite, Theodore D, Arango, Celso, Sawa, Akira, Schall, Ulrich, Schofield, Peter R, Schrantee, Anouk, Seitz, Jochen, Serpa, Mauricio H, Setién-Suero, Esther, Shaw, Philip, Shook, Devon, Silk, Tim J, Arnold, Paul D, Sim, Kang, Simon, Schmitt, Simpson, Helen Blair, Singh, Aditya, Skoch, Antonin, Skokauskas, Norbert, Soares, Jair C, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Asherson, Philip, Spaniel, Filip, Lawrie, Stephen M, Stern, Emily R, Stewart, S Evelyn, Takayanagi, Yoichiro, Temmingh, Henk S, Tolin, David F, Tomecek, David, Tordesillas-Gutiérrez, Diana, Tosetti, Michela, Assogna, Francesca, Uhlmann, Anne, van Amelsvoort, Therese, van der Wee, Nic J A, van der Werff, Steven J A, van Haren, Neeltje E M, van Wingen, Guido A, Vance, Alasdair, Vázquez-Bourgon, Javier, Vecchio, Daniela, Venkatasubramanian, Ganesan, Auzias, Guillaume, Vieta, Eduard, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Voineskos, Aristotle N, Völzke, Henry, von Polier, Georg G, Walton, Esther, Weickert, Thomas W, Weickert, Cynthia Shannon, Weideman, Andrea S, Ayesa-Arriola, Rosa, Wittfeld, Katharina, Wolf, Daniel H, Wu, Mon-Ju, Yang, T. T., Yang, Sikun, Yoncheva, Yuliya, Yun, Je-Yeon, Cheng, Yuqi, Zanetti, Marcus V, Ziegler, Georg C, Bakker, Geor, Franke, Barbara, Hoogman, Martine, Buitelaar, Jan K, van Rooij, Daan, Andreassen, Ole A, Ching, Christopher R K, Veltman, Dick J, Schmaal, Lianne, Stein, Dan J, van den Heuvel, Odile A, Disorder, Major Depressive, Banaj, Nerisa, Turner, Jessica A, van Erp, Theo G M, Pausova, Zdenka, Thompson, Paul M, Paus, Tomáš, Attention-Deficit/Hyperactivity Disorder, Banaschewski, Tobias, Bandeira, Cibele E, Baranov, Alexandr, Bargalló, Núria, Bau, Claiton H D, Baumeister, Sarah, Baune, Bernhard T, Bellgrove, Mark A, Benedetti, Francesco, Disorder, Obsessive-Compulsive, Bertolino, Alessandro, Boedhoe, Premika S W, Boks, Marco, Bollettini, Irene, Del Mar Bonnin, Caterina, Borgers, Tiana, Borgwardt, Stefan, Brandeis, Daniel, Brennan, Brian P, Bruggemann, Jason M, Groups, Schizophrenia ENIGMA Working, Bülow, Robin, Busatto, Geraldo F, Calderoni, Sara, Calhoun, Vince D, Calvo, Rosa, Canales-Rodríguez, Erick J, Cannon, Dara M, Carr, Vaughan J, Cascella, Nicola, Cercignani, Mara, Patel, Yash, Chaim-Avancini, Tiffany M, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Crespo-Facorro, Benedicto, Cubillo, Ana I, Cullen, Kathryn R, Cupertino, Renata B, Daly, Eileen, Dannlowski, Udo, Parker, Nadine, Davey, Christopher G, Denys, Damiaan, Deruelle, Christine, Di Giorgio, Annabella, Dickie, Erin W, Dima, Danai, Dohm, Katharina, Ehrlich, Stefan, Ely, Benjamin A, Erwin-Grabner, Tracy, Shin, Jean, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas, Faraone, Stephen V, Fatjó-Vilas, Mar, Fedor, Jennifer M, Fitzgerald, Kate D, Ford, Judith M, Frodl, Thomas, Fu, Cynthia H Y, Howard, Derek, Fullerton, Janice M, Gabel, Matt C, Glahn, David C, Roberts, Gloria, Gogberashvili, Tinatin, Goikolea, Jose M, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans, Green, Melissa J, Patel, Y., Parker, N., Shin, J., Howard, D., French, L., Thomopoulos, S. I., Pozzi, E., Abe, Y., Abe, C., Anticevic, A., Alda, M., Aleman, A., Alloza, C., Alonso-Lana, S., Ameis, S. H., Anagnostou, E., Mcintosh, A. A., Arango, C., Arnold, P. D., Asherson, P., Assogna, F., Auzias, G., Ayesa-Arriola, R., Bakker, G., Banaj, N., Banaschewski, T., Bandeira, C. E., Baranov, A., Bargallo, N., Bau, C. H. D., Baumeister, S., Baune, B. T., Bellgrove, M. A., Benedetti, F., Bertolino, A., Boedhoe, P. S. W., Boks, M., Bollettini, I., Del Mar Bonnin, C., Borgers, T., Borgwardt, S., Brandeis, D., Brennan, B. P., Bruggemann, J. M., Bulow, R., Busatto, G. F., Calderoni, S., Calhoun, V. D., Calvo, R., Canales-Rodriguez, E. J., Cannon, D. M., Carr, V. J., Cascella, N., Cercignani, M., Chaim-Avancini, T. M., Christakou, A., Coghill, D., Conzelmann, A., Crespo-Facorro, B., Cubillo, A. I., Cullen, K. R., Cupertino, R. B., Daly, E., Dannlowski, U., Davey, C. G., Denys, D., Deruelle, C., Di Giorgio, A., Dickie, E. W., Dima, D., Dohm, K., Ehrlich, S., Ely, B. A., Erwin-Grabner, T., Ethofer, T., Fair, D. A., Fallgatter, A. J., Faraone, S. V., Fatjo-Vilas, M., Fedor, J. M., Fitzgerald, K. D., Ford, J. M., Frodl, T., Fu, C. H. Y., Fullerton, J. M., Gabel, M. C., Glahn, D. C., Roberts, G., Gogberashvili, T., Goikolea, J. M., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Green, M. J., Grevet, E. H., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Guerrero-Pedraza, A., Gur, R. E., Gur, R. C., Haar, S., Haarman, B. C. M., Haavik, J., Hahn, T., Hajek, T., Harrison, B. J., Harrison, N. A., Hartman, C. A., Whalley, H. C., Heslenfeld, D. J., Hibar, D. P., Hilland, E., Hirano, Y., Ho, T. C., Hoekstra, P. J., Hoekstra, L., Hohmann, S., Hong, L. E., Hoschl, C., Hovik, M. F., Howells, F. M., Nenadic, I., Jalbrzikowski, M., James, A. C., Janssen, J., Jaspers-Fayer, F., Xu, J., Jonassen, R., Karkashadze, G., King, J. A., Kircher, T., Kirschner, M., Koch, K., Kochunov, P., Kohls, G., Konrad, K., Kramer, B., Krug, A., Kuntsi, J., Kwon, J. S., Landen, M., Landro, N. I., Lazaro, L., Lebedeva, I. S., Leehr, E. J., Lera-Miguel, S., Lesch, K. -P., Lochner, C., Louza, M. R., Luna, B., Lundervold, A. J., Macmaster, F. P., Maglanoc, L. A., Malpas, C. B., Portella, M. J., Marsh, R., Martyn, F. M., Mataix-Cols, D., Mathalon, D. H., Mccarthy, H., Mcdonald, C., Mcphilemy, G., Meinert, S., Menchon, J. M., Minuzzi, L., Mitchell, P. B., Moreno, C., Morgado, P., Muratori, F., Murphy, C. M., Murphy, D., Mwangi, B., Nabulsi, L., Nakagawa, A., Nakamae, T., Namazova, L., Narayanaswamy, J., Jahanshad, N., Nguyen, D. D., Nicolau, R., O'Gorman Tuura, R. L., O'Hearn, K., Oosterlaan, J., Opel, N., Ophoff, R. A., Oranje, B., Garcia De La Foz, V. O., Overs, B. J., Paloyelis, Y., Pantelis, C., Parellada, M., Pauli, P., Pico-Perez, M., Picon, F. A., Piras, F., Plessen, K. J., Pomarol-Clotet, E., Preda, A., Puig, O., Quide, Y., Radua, J., Ramos-Quiroga, J. A., Rasser, P. E., Rauer, L., Reddy, J., Redlich, R., Reif, A., Reneman, L., Repple, J., Retico, A., Richarte, V., Richter, A., Rosa, P. G. P., Rubia, K. K., Hashimoto, R., Sacchet, M. D., Salvador, R., Santonja, J., Sarink, K., Sarro, S., Satterthwaite, T. D., Sawa, A., Schall, U., Schofield, P. R., Schrantee, A., Seitz, J., Serpa, M. H., Setien-Suero, E., Shaw, P., Shook, D., Silk, T. J., Sim, K., Simon, S., Simpson, H. B., Singh, A., Skoch, A., Skokauskas, N., Soares, J. C., Soreni, N., Soriano-Mas, C., Spalletta, G., Spaniel, F., Lawrie, S. M., Stern, E. R., Stewart, S. E., Takayanagi, Y., Temmingh, H. S., Tolin, D. F., Tomecek, D., Tordesillas-Gutierrez, D., Tosetti, M., Uhlmann, A., Van Amelsvoort, T., Van Der Wee, N. J. A., Van Der Werff, S. J. A., Van Haren, N. E. M., Van Wingen, G. A., Vance, A., Vazquez-Bourgon, J., Vecchio, D., Venkatasubramanian, G., Vieta, E., Vilarroya, O., Vives-Gilabert, Y., Voineskos, A. N., Volzke, H., Von Polier, G. G., Walton, E., Weickert, T. W., Weickert, C. S., Weideman, A. S., Wittfeld, K., Wolf, D. H., Wu, M. -J., Yang, T. T., Yang, K., Yoncheva, Y., Yun, J. -Y., Cheng, Y., Zanetti, M. V., Ziegler, G. C., Franke, B., Hoogman, M., Buitelaar, J. K., Van Rooij, D., Andreassen, O. A., Ching, C. R. K., Veltman, D. J., Schmaal, L., Stein, D. J., Van Den Heuvel, O. A., Turner, J. A., Van Erp, T. G. M., Pausova, Z., Thompson, P. M., Paus, T., Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Pediatric surgery, Radiology and nuclear medicine, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, General Paediatrics, ARD - Amsterdam Reproduction and Development, Radiology and Nuclear Medicine, APH - Personalized Medicine, ANS - Brain Imaging, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, University of Zurich, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, IBBA, and Cognitive Psychology
Subjects: Male, Obsessive-Compulsive Disorder, Bipolar Disorder, Autism Spectrum Disorder, Autism, [SDV]Life Sciences [q-bio], Gene Expression, cytology [Cerebral Cortex], Cohort Studies, Fetal Development, physiology [Gene Expression], 2738 Psychiatry and Mental Health, 0302 clinical medicine, diagnostic imaging [Cerebral Cortex], SCHIZOPHRENIA, BRAIN, Child, Obsessive-compulsive disorder (OCD), Original Investigation, Aged, 80 and over, Cerebral Cortex, 0303 health sciences, pathology [Depressive Disorder, Major], Principal Component Analysis, Adolescent psychiatry, 10058 Department of Child and Adolescent Psychiatry, Middle Aged, diagnostic imaging [Obsessive-Compulsive Disorder], REGIONS, Magnetic Resonance Imaging, 3. Good health, FALSE DISCOVERY RATE, Psychiatry and Mental health, Autism spectrum disorder, Schizophrenia, growth & development [Cerebral Cortex], Child, Preschool, Major depressive disorder, diagnostic imaging [Schizophrenia], Esquizofrènia, Female, Psiquiatria infantil, Psiquiatria de l'adolescència, diagnostic imaging [Autism Spectrum Disorder], Adult, medicine.medical_specialty, Adolescent, Human Development, 610 Medicine & health, diagnostic imaging [Bipolar Disorder], pathology [Autism Spectrum Disorder], diagnostic imaging [Depressive Disorder, Major], 03 medical and health sciences, Young Adult, All institutes and research themes of the Radboud University Medical Center, Neuroimaging, SDG 3 - Good Health and Well-being, CEREBRAL-CORTEX, Child psychiatry, medicine, Attention deficit hyperactivity disorder, Humans, Bipolar disorder, ddc:610, Psychiatry, pathology [Schizophrenia], 030304 developmental biology, Aged, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, DENDRITE, Computational Biology, Correction, pathology [Attention Deficit Disorder with Hyperactivity], physiology [Fetal Development], medicine.disease, PATHOLOGY, pathology [Bipolar Disorder], pathology [Obsessive-Compulsive Disorder], 10036 Medical Clinic, Attention Deficit Disorder with Hyperactivity, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, Case-Control Studies, DENSITY, ORIGINS, HIPPOCAMPUS, diagnostic imaging [Attention Deficit Disorder with Hyperactivity], pathology [Cerebral Cortex], Autisme, business, Neuroscience, 030217 neurology & neurosurgery, physiology [Human Development]
Abstract: [Importance] Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood., [Objective] To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia., [Design, Setting, and Participants] Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244., [Main Outcomes and Measures] Interregional profiles of group difference in cortical thickness between cases and controls., [Results] A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders., [Conclusions and Relevance] In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
Published: 2021

37. Corrigendum: Investigation of advanced mindfulness meditation cessation experiences using EEG spectral analysis in an intensively sampled case study. [Neuropsychologia (2023) 190, 108694].

Author: Chowdhury A, van Lutterveld R, Laukkonen RE, Slagter HA, Ingram DM, and Sacchet MD
Published: 2024
Full Text: View/download PDF

38. Beyond Mindfulness: An emerging science of advanced meditation could transform mental health and our understanding of consciousness.

Author: Sacchet M and Brewer J
Published: 2024
Full Text: View/download PDF

39. Virtual Ontogeny of Cortical Growth Preceding Mental Illness.

Author: Patel Y, Shin J, Abé C, Agartz I, Alloza C, Alnæs D, Ambrogi S, Antonucci LA, Arango C, Arolt V, Auzias G, Ayesa-Arriola R, Banaj N, Banaschewski T, Bandeira C, Başgöze Z, Cupertino RB, Bau CHD, Bauer J, Baumeister S, Bernardoni F, Bertolino A, Bonnin CDM, Brandeis D, Brem S, Bruggemann J, Bülow R, Bustillo JR, Calderoni S, Calvo R, Canales-Rodríguez EJ, Cannon DM, Carmona S, Carr VJ, Catts SV, Chenji S, Chew QH, Coghill D, Connolly CG, Conzelmann A, Craven AR, Crespo-Facorro B, Cullen K, Dahl A, Dannlowski U, Davey CG, Deruelle C, Díaz-Caneja CM, Dohm K, Ehrlich S, Epstein J, Erwin-Grabner T, Eyler LT, Fedor J, Fitzgerald J, Foran W, Ford JM, Fortea L, Fuentes-Claramonte P, Fullerton J, Furlong L, Gallagher L, Gao B, Gao S, Goikolea JM, Gotlib I, Goya-Maldonado R, Grabe HJ, Green M, Grevet EH, Groenewold NA, Grotegerd D, Gruber O, Haavik J, Hahn T, Harrison BJ, Heindel W, Henskens F, Heslenfeld DJ, Hilland E, Hoekstra PJ, Hohmann S, Holz N, Howells FM, Ipser JC, Jahanshad N, Jakobi B, Jansen A, Janssen J, Jonassen R, Kaiser A, Kaleda V, Karantonis J, King JA, Kircher T, Kochunov P, Koopowitz SM, Landén M, Landrø NI, Lawrie S, Lebedeva I, Luna B, Lundervold AJ, MacMaster FP, Maglanoc LA, Mathalon DH, McDonald C, McIntosh A, Meinert S, Michie PT, Mitchell P, Moreno-Alcázar A, Mowry B, Muratori F, Nabulsi L, Nenadić I, O'Gorman Tuura R, Oosterlaan J, Overs B, Pantelis C, Parellada M, Pariente JC, Pauli P, Pergola G, Piarulli FM, Picon F, Piras F, Pomarol-Clotet E, Pretus C, Quidé Y, Radua J, Ramos-Quiroga JA, Rasser PE, Reif A, Retico A, Roberts G, Rossell S, Rovaris DL, Rubia K, Sacchet M, Salavert J, Salvador R, Sarró S, Sawa A, Schall U, Scott R, Selvaggi P, Silk T, Sim K, Skoch A, Spalletta G, Spaniel F, Stein DJ, Steinsträter O, Stolicyn A, Takayanagi Y, Tamm L, Tavares M, Teumer A, Thiel K, Thomopoulos SI, Tomecek D, Tomyshev AS, Tordesillas-Gutiérrez D, Tosetti M, Uhlmann A, Van Rheenen T, Vazquez-Bourgón J, Vernooij MW, Vieta E, Vilarroya O, Weickert C, Weickert T, Westlye LT, Whalley H, Willinger D, Winter A, Wittfeld K, Yang TT, Yoncheva Y, Zijlmans JL, Hoogman M, Franke B, van Rooij D, Buitelaar J, Ching CRK, Andreassen OA, Pozzi E, Veltman D, Schmaal L, van Erp TGM, Turner J, Castellanos FX, Pausova Z, Thompson P, and Paus T
Subjects: Cerebral Cortex, Child, Female, Humans, Infant, Newborn, Magnetic Resonance Imaging methods, Pregnancy, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder genetics, Autism Spectrum Disorder pathology, Bipolar Disorder, Depressive Disorder, Major pathology, Premature Birth pathology
Abstract: Background: Morphology of the human cerebral cortex differs across psychiatric disorders, with neurobiology and developmental origins mostly undetermined. Deviations in the tangential growth of the cerebral cortex during pre/perinatal periods may be reflected in individual variations in cortical surface area later in life., Methods: Interregional profiles of group differences in surface area between cases and controls were generated using T1-weighted magnetic resonance imaging from 27,359 individuals including those with attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depressive disorder, schizophrenia, and high general psychopathology (through the Child Behavior Checklist). Similarity of interregional profiles of group differences in surface area and prenatal cell-specific gene expression was assessed., Results: Across the 11 cortical regions, group differences in cortical area for attention-deficit/hyperactivity disorder, schizophrenia, and Child Behavior Checklist were dominant in multimodal association cortices. The same interregional profiles were also associated with interregional profiles of (prenatal) gene expression specific to proliferative cells, namely radial glia and intermediate progenitor cells (greater expression, larger difference), as well as differentiated cells, namely excitatory neurons and endothelial and mural cells (greater expression, smaller difference). Finally, these cell types were implicated in known pre/perinatal risk factors for psychosis. Genes coexpressed with radial glia were enriched with genes implicated in congenital abnormalities, birth weight, hypoxia, and starvation. Genes coexpressed with endothelial and mural genes were enriched with genes associated with maternal hypertension and preterm birth., Conclusions: Our findings support a neurodevelopmental model of vulnerability to mental illness whereby prenatal risk factors acting through cell-specific processes lead to deviations from typical brain development during pregnancy., (Copyright © 2022 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
Published: 2022
Full Text: View/download PDF

40. Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder.

Author: Murphy M, Whitton AE, Deccy S, Ironside ML, Rutherford A, Beltzer M, Sacchet M, and Pizzagalli DA
Subjects: Biomarkers, Brain diagnostic imaging, Electroencephalography, Humans, Neuroimaging, Depressive Disorder, Major diagnostic imaging
Abstract: Neuroimaging studies have shown that major depressive disorder (MDD) is characterized by abnormal neural activity and connectivity. However, hemodynamic imaging techniques lack the temporal resolution needed to resolve the dynamics of brain mechanisms underlying MDD. Moreover, it is unclear whether putative abnormalities persist after remission. To address these gaps, we used microstate analysis to study resting-state brain activity in major depressive disorder (MDD). Electroencephalographic (EEG) "microstates" are canonical voltage topographies that reflect brief activations of components of resting-state brain networks. We used polarity-insensitive k-means clustering to segment resting-state high-density (128-channel) EEG data into microstates. Data from 79 healthy controls (HC), 63 individuals with MDD, and 30 individuals with remitted MDD (rMDD) were included. The groups produced similar sets of five microstates, including four widely-reported canonical microstates (A-D). The proportion of microstate D was decreased in MDD and rMDD compared to the HC group (Cohen's d = 0.63 and 0.72, respectively) and the duration and occurrence of microstate D was reduced in the MDD group compared to the HC group (Cohen's d = 0.43 and 0.58, respectively). Among the MDD group, proportion and duration of microstate D were negatively correlated with symptom severity (Spearman's rho = -0.34 and -0.46, respectively). Finally, microstate transition probabilities were nonrandom and the MDD group, relative to the HC and the rMDD groups, exhibited multiple distinct transition probabilities, primarily involving microstates A and C. Our findings highlight both state and trait abnormalities in resting-state brain activity in MDD.
Published: 2020
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

40 results on '"Sacchet M"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources