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Functional diffusion tensor imaging at 3 Tesla.

Frontiers in human neuroscience

Mandl RC, Schnack HG, Zwiers MP, Kahn RS, Hulshoff Pol HE.
PMID: 24409133
Front Hum Neurosci. 2013 Dec 03;7:817. doi: 10.3389/fnhum.2013.00817. eCollection 2013.

In a previous study we reported on a non-invasive functional diffusion tensor imaging (fDTI) method to measure neuronal signals directly from subtle changes in fractional anisotropy along white matter tracts. We hypothesized that these fractional anisotropy changes relate to...

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Mandl RC, Schnack HG, Zwiers MP, et al. Functional diffusion tensor imaging at 3 Tesla. Front Hum Neurosci. 2013;7:817doi: 10.3389/fnhum.2013.00817.
Mandl, R. C., Schnack, H. G., Zwiers, M. P., Kahn, R. S., & Hulshoff Pol, H. E. (2013). Functional diffusion tensor imaging at 3 Tesla. Frontiers in human neuroscience, 7817. https://doi.org/10.3389/fnhum.2013.00817
Mandl, René C W, et al. "Functional diffusion tensor imaging at 3 Tesla." Frontiers in human neuroscience vol. 7 (2013): 817. doi: https://doi.org/10.3389/fnhum.2013.00817
Mandl RC, Schnack HG, Zwiers MP, Kahn RS, Hulshoff Pol HE. Functional diffusion tensor imaging at 3 Tesla. Front Hum Neurosci. 2013 Dec 03;7:817. doi: 10.3389/fnhum.2013.00817. eCollection 2013. PMID: 24409133; PMCID: PMC3847896.
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Editorial: MR Spectroscopy in Neuropsychiatry.

Frontiers in psychiatry

Egerton A, Marsman A, Broberg BV, Hulshoff Pol HE.
PMID: 29904358
Front Psychiatry. 2018 May 31;9:197. doi: 10.3389/fpsyt.2018.00197. eCollection 2018.

No abstract available.

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Egerton A, Marsman A, Broberg BV, et al. Editorial: MR Spectroscopy in Neuropsychiatry. Front Psychiatry. 2018;9:197doi: 10.3389/fpsyt.2018.00197.
Egerton, A., Marsman, A., Broberg, B. V., & Hulshoff Pol, H. E. (2018). Editorial: MR Spectroscopy in Neuropsychiatry. Frontiers in psychiatry, 9197. https://doi.org/10.3389/fpsyt.2018.00197
Egerton, Alice, et al. "Editorial: MR Spectroscopy in Neuropsychiatry." Frontiers in psychiatry vol. 9 (2018): 197. doi: https://doi.org/10.3389/fpsyt.2018.00197
Egerton A, Marsman A, Broberg BV, Hulshoff Pol HE. Editorial: MR Spectroscopy in Neuropsychiatry. Front Psychiatry. 2018 May 31;9:197. doi: 10.3389/fpsyt.2018.00197. eCollection 2018. PMID: 29904358; PMCID: PMC5990615.
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Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.

Human brain mapping

Dima D, Modabbernia A, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dannlowski U, Dale AM, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, Van't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Williams SCR, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Frangou S.
PMID: 33570244
Hum Brain Mapp. 2022 Jan;43(1):452-469. doi: 10.1002/hbm.25320. Epub 2021 Feb 11.

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...

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Dima D, Modabbernia A, Papachristou E, et al. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Hum Brain Mapp. 2021;43(1):452-469doi: 10.1002/hbm.25320.
Dima, D., Modabbernia, A., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. 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., Dannlowski, U., 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., Hahn, T., 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., Meinert, S., 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., 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., 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. (2022). Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Human brain mapping, 43(1), 452-469. https://doi.org/10.1002/hbm.25320
Dima, Danai, et al. "Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years." Human brain mapping vol. 43,1 (2022): 452-469. doi: https://doi.org/10.1002/hbm.25320
Dima D, Modabbernia A, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dannlowski U, Dale AM, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, Van't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Williams SCR, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Frangou S. Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Hum Brain Mapp. 2022 Jan;43(1):452-469. doi: 10.1002/hbm.25320. Epub 2021 Feb 11. PMID: 33570244.
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Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.

Human brain mapping

Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D.
PMID: 33595143
Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17.

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...

Cite
Frangou S, Modabbernia A, Williams SCR, et al. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2021;43(1):431-451doi: 10.1002/hbm.25364.
Frangou, S., Modabbernia, A., Williams, S. C. R., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. 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., Dannlowski, U., 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., Hahn, T., 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., Meinert, S., 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., 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., Thompson, P. M., & Dima, D. (2022). Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Human brain mapping, 43(1), 431-451. https://doi.org/10.1002/hbm.25364
Frangou, Sophia, et al. "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years." Human brain mapping vol. 43,1 (2022): 431-451. doi: https://doi.org/10.1002/hbm.25364
Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17. PMID: 33595143.
Copy Download .nbib Format: NLM
Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs.

Human brain mapping

Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon-Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa-Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo-Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga JJ, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin-Brevet S, Martínez K, Mather KA, Mathias SR, McDonald-McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez-Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas-Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez-Bourgon J, Vila-Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA.
PMID: 33615640
Hum Brain Mapp. 2022 Jan;43(1):300-328. doi: 10.1002/hbm.25354. Epub 2021 Feb 21.

The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral...

Cite
Sønderby IE, Ching CRK, Thomopoulos SI, et al. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp. 2021;43(1):300-328doi: 10.1002/hbm.25354.
Sønderby, I. E., Ching, C. R. K., Thomopoulos, S. I., van der Meer, D., Sun, D., Villalon-Reina, J. E., Agartz, I., Amunts, K., Arango, C., Armstrong, N. J., Ayesa-Arriola, R., Bakker, G., Bassett, A. S., Boomsma, D. I., Bülow, R., Butcher, N. J., Calhoun, V. D., Caspers, S., Chow, E. W. C., Cichon, S., Ciufolini, S., Craig, M. C., Crespo-Facorro, B., Cunningham, A. C., Dale, A. M., Dazzan, P., de Zubicaray, G. I., Djurovic, S., Doherty, J. L., Donohoe, G., Draganski, B., Durdle, C. A., Ehrlich, S., Emanuel, B. S., Espeseth, T., Fisher, S. E., Ge, T., Glahn, D. C., Grabe, H. J., Gur, R. E., Gutman, B. A., Haavik, J., Håberg, A. K., Hansen, L. A., Hashimoto, R., Hibar, D. P., Holmes, A. J., Hottenga, J. J., Hulshoff Pol, H. E., Jalbrzikowski, M., Knowles, E. E. M., Kushan, L., Linden, D. E. J., Liu, J., Lundervold, A. J., Martin-Brevet, S., Martínez, K., Mather, K. A., Mathias, S. R., McDonald-McGinn, D. M., McRae, A. F., Medland, S. E., Moberget, T., Modenato, C., Monereo Sánchez, J., Moreau, C. A., Mühleisen, T. W., Paus, T., Pausova, Z., Prieto, C., Ragothaman, A., Reinbold, C. S., Reis Marques, T., Repetto, G. M., Reymond, A., Roalf, D. R., Rodriguez-Herreros, B., Rucker, J. J., Sachdev, P. S., Schmitt, J. E., Schofield, P. R., Silva, A. I., Stefansson, H., Stein, D. J., Tamnes, C. K., Tordesillas-Gutiérrez, D., Ulfarsson, M. O., Vajdi, A., van 't Ent, D., van den Bree, M. B. M., Vassos, E., Vázquez-Bourgon, J., Vila-Rodriguez, F., Walters, G. B., Wen, W., Westlye, L. T., Wittfeld, K., Zackai, E. H., Stefánsson, K., Jacquemont, S., Thompson, P. M., Bearden, C. E., Andreassen, O. A. (2022). Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Human brain mapping, 43(1), 300-328. https://doi.org/10.1002/hbm.25354
Sønderby, Ida E, et al. "Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs." Human brain mapping vol. 43,1 (2022): 300-328. doi: https://doi.org/10.1002/hbm.25354
Sønderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon-Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa-Arriola R, Bakker G, Bassett AS, Boomsma DI, Bülow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo-Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Håberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga JJ, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin-Brevet S, Martínez K, Mather KA, Mathias SR, McDonald-McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Sánchez J, Moreau CA, Mühleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez-Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas-Gutiérrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vázquez-Bourgon J, Vila-Rodriguez F, Walters GB, Wen W, Westlye LT, Wittfeld K, Zackai EH, Stefánsson K, Jacquemont S, Thompson PM, Bearden CE, Andreassen OA. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs. Hum Brain Mapp. 2022 Jan;43(1):300-328. doi: 10.1002/hbm.25354. Epub 2021 Feb 21. PMID: 33615640.
Copy Download .nbib Format: NLM
Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.

Human brain mapping

Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D.
PMID: 33595143
Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17.

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...

Cite
Frangou S, Modabbernia A, Williams SCR, et al. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2021;43(1):431-451doi: 10.1002/hbm.25364.
Frangou, S., Modabbernia, A., Williams, S. C. R., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. 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., Dannlowski, U., 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., Hahn, T., 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., Meinert, S., 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., 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., Thompson, P. M., & Dima, D. (2022). Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Human brain mapping, 43(1), 431-451. https://doi.org/10.1002/hbm.25364
Frangou, Sophia, et al. "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years." Human brain mapping vol. 43,1 (2022): 431-451. doi: https://doi.org/10.1002/hbm.25364
Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17. PMID: 33595143.
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The YOUth study: Rationale, design, and study procedures.

Developmental cognitive neuroscience

Onland-Moret NC, Buizer-Voskamp JE, Albers MEWA, Brouwer RM, Buimer EEL, Hessels RS, de Heus R, Huijding J, Junge CMM, Mandl RCW, Pas P, Vink M, van der Wal JJM, Hulshoff Pol HE, Kemner C.
PMID: 33075722
Dev Cogn Neurosci. 2020 Dec;46:100868. doi: 10.1016/j.dcn.2020.100868. Epub 2020 Oct 07.

Behavioral development in children shows large inter-individual variation, and is driven by the interplay between biological, psychological, and environmental processes. However, there is still little insight into how these processes interact. The YOUth cohort specifically focuses on two core...

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Onland-Moret NC, Buizer-Voskamp JE, Albers MEWA, et al. The YOUth study: Rationale, design, and study procedures. Dev Cogn Neurosci. 2020;46:100868doi: 10.1016/j.dcn.2020.100868.
Onland-Moret, N. C., Buizer-Voskamp, J. E., Albers, M. E. W. A., Brouwer, R. M., Buimer, E. E. L., Hessels, R. S., de Heus, R., Huijding, J., Junge, C. M. M., Mandl, R. C. W., Pas, P., Vink, M., van der Wal, J. J. M., Hulshoff Pol, H. E., & Kemner, C. (2020). The YOUth study: Rationale, design, and study procedures. Developmental cognitive neuroscience, 46100868. https://doi.org/10.1016/j.dcn.2020.100868
Onland-Moret, N Charlotte, et al. "The YOUth study: Rationale, design, and study procedures." Developmental cognitive neuroscience vol. 46 (2020): 100868. doi: https://doi.org/10.1016/j.dcn.2020.100868
Onland-Moret NC, Buizer-Voskamp JE, Albers MEWA, Brouwer RM, Buimer EEL, Hessels RS, de Heus R, Huijding J, Junge CMM, Mandl RCW, Pas P, Vink M, van der Wal JJM, Hulshoff Pol HE, Kemner C. The YOUth study: Rationale, design, and study procedures. Dev Cogn Neurosci. 2020 Dec;46:100868. doi: 10.1016/j.dcn.2020.100868. Epub 2020 Oct 07. PMID: 33075722; PMCID: PMC7575850.
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Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder.

Human brain mapping

de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Alonso-Lana S, Bearden CE, Bertolino A, Bonvino A, Bramon E, Buimer EEL, Cahn W, Canales-Rodríguez EJ, Cannon DM, Cannon TD, Caseras X, Castro-Fornieles J, Chen Q, Chung Y, De la Serna E, Del Mar Bonnin C, Demro C, Di Giorgio A, Doucet GE, Eker MC, Erk S, Fatjó-Vilas M, Fears SC, Foley SF, Frangou S, Fullerton JM, Glahn DC, Goghari VM, Goikolea JM, Goldman AL, Gonul AS, Gruber O, Hajek T, Hawkins EL, Heinz A, Hidiroglu Ongun C, Hillegers MHJ, Houenou J, Hulshoff Pol HE, Hultman CM, Ingvar M, Johansson V, Jönsson EG, Kane F, Kempton MJ, Koenis MMG, Kopecek M, Krämer B, Lawrie SM, Lenroot RK, Marcelis M, Mattay VS, McDonald C, Meyer-Lindenberg A, Michielse S, Mitchell PB, Moreno D, Murray RM, Mwangi B, Nabulsi L, Newport J, Olman CA, van Os J, Overs BJ, Ozerdem A, Pergola G, Picchioni MM, Piguet C, Pomarol-Clotet E, Radua J, Ramsay IS, Richter A, Roberts G, Salvador R, Saricicek Aydogan A, Sarró S, Schofield PR, Simsek EM, Simsek F, Soares JC, Sponheim SR, Sugranyes G, Toulopoulou T, Tronchin G, Vieta E, Walter H, Weinberger DR, Whalley HC, Wu MJ, Yalin N, Andreassen OA, Ching CRK, Thomopoulos SI, van Erp TGM, Jahanshad N, Thompson PM, Kahn RS, van Haren NEM.
PMID: 33027543
Hum Brain Mapp. 2022 Jan;43(1):414-430. doi: 10.1002/hbm.25206. Epub 2020 Oct 07.

First-degree relatives of patients diagnosed with schizophrenia (SZ-FDRs) show similar patterns of brain abnormalities and cognitive alterations to patients, albeit with smaller effect sizes. First-degree relatives of patients diagnosed with bipolar disorder (BD-FDRs) show divergent patterns; on average, intracranial...

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de Zwarte SMC, Brouwer RM, Agartz I, et al. Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder. Hum Brain Mapp. 2020;43(1):414-430doi: 10.1002/hbm.25206.
de Zwarte, S. M. C., Brouwer, R. M., Agartz, I., Alda, M., Alonso-Lana, S., Bearden, C. E., Bertolino, A., Bonvino, A., Bramon, E., Buimer, E. E. L., Cahn, W., Canales-Rodríguez, E. J., Cannon, D. M., Cannon, T. D., Caseras, X., Castro-Fornieles, J., Chen, Q., Chung, Y., De la Serna, E., Del Mar Bonnin, C., Demro, C., Di Giorgio, A., Doucet, G. E., Eker, M. C., Erk, S., Fatjó-Vilas, M., Fears, S. C., Foley, S. F., Frangou, S., Fullerton, J. M., Glahn, D. C., Goghari, V. M., Goikolea, J. M., Goldman, A. L., Gonul, A. S., Gruber, O., Hajek, T., Hawkins, E. L., Heinz, A., Hidiroglu Ongun, C., Hillegers, M. H. J., Houenou, J., Hulshoff Pol, H. E., Hultman, C. M., Ingvar, M., Johansson, V., Jönsson, E. G., Kane, F., Kempton, M. J., Koenis, M. M. G., Kopecek, M., Krämer, B., Lawrie, S. M., Lenroot, R. K., Marcelis, M., Mattay, V. S., McDonald, C., Meyer-Lindenberg, A., Michielse, S., Mitchell, P. B., Moreno, D., Murray, R. M., Mwangi, B., Nabulsi, L., Newport, J., Olman, C. A., van Os, J., Overs, B. J., Ozerdem, A., Pergola, G., Picchioni, M. M., Piguet, C., Pomarol-Clotet, E., Radua, J., Ramsay, I. S., Richter, A., Roberts, G., Salvador, R., Saricicek Aydogan, A., Sarró, S., Schofield, P. R., Simsek, E. M., Simsek, F., Soares, J. C., Sponheim, S. R., Sugranyes, G., Toulopoulou, T., Tronchin, G., Vieta, E., Walter, H., Weinberger, D. R., Whalley, H. C., Wu, M. J., Yalin, N., Andreassen, O. A., Ching, C. R. K., Thomopoulos, S. I., van Erp, T. G. M., Jahanshad, N., Thompson, P. M., Kahn, R. S., & van Haren, N. E. M. (2022). Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder. Human brain mapping, 43(1), 414-430. https://doi.org/10.1002/hbm.25206
de Zwarte, Sonja M C, et al. "Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder." Human brain mapping vol. 43,1 (2022): 414-430. doi: https://doi.org/10.1002/hbm.25206
de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Alonso-Lana S, Bearden CE, Bertolino A, Bonvino A, Bramon E, Buimer EEL, Cahn W, Canales-Rodríguez EJ, Cannon DM, Cannon TD, Caseras X, Castro-Fornieles J, Chen Q, Chung Y, De la Serna E, Del Mar Bonnin C, Demro C, Di Giorgio A, Doucet GE, Eker MC, Erk S, Fatjó-Vilas M, Fears SC, Foley SF, Frangou S, Fullerton JM, Glahn DC, Goghari VM, Goikolea JM, Goldman AL, Gonul AS, Gruber O, Hajek T, Hawkins EL, Heinz A, Hidiroglu Ongun C, Hillegers MHJ, Houenou J, Hulshoff Pol HE, Hultman CM, Ingvar M, Johansson V, Jönsson EG, Kane F, Kempton MJ, Koenis MMG, Kopecek M, Krämer B, Lawrie SM, Lenroot RK, Marcelis M, Mattay VS, McDonald C, Meyer-Lindenberg A, Michielse S, Mitchell PB, Moreno D, Murray RM, Mwangi B, Nabulsi L, Newport J, Olman CA, van Os J, Overs BJ, Ozerdem A, Pergola G, Picchioni MM, Piguet C, Pomarol-Clotet E, Radua J, Ramsay IS, Richter A, Roberts G, Salvador R, Saricicek Aydogan A, Sarró S, Schofield PR, Simsek EM, Simsek F, Soares JC, Sponheim SR, Sugranyes G, Toulopoulou T, Tronchin G, Vieta E, Walter H, Weinberger DR, Whalley HC, Wu MJ, Yalin N, Andreassen OA, Ching CRK, Thomopoulos SI, van Erp TGM, Jahanshad N, Thompson PM, Kahn RS, van Haren NEM. Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder. Hum Brain Mapp. 2022 Jan;43(1):414-430. doi: 10.1002/hbm.25206. Epub 2020 Oct 07. PMID: 33027543.
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Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort.

Molecular psychiatry

Toulopoulou T, van Haren N, Zhang X, Sham PC, Cherny SS, Campbell DD, Picchioni M, Murray R, Boomsma DI, Hulshoff Pol HE, Brouwer R, Schnack H, Fañanás L, Sauer H, Nenadic I, Weisbrod M, Cannon TD, Kahn RS.
PMID: 26283640
Mol Psychiatry. 2015 Nov;20(11):1482. doi: 10.1038/mp.2015.117. Epub 2015 Aug 18.

No abstract available.

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Toulopoulou T, van Haren N, Zhang X, et al. Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort. Mol Psychiatry. 2015;20(11):1482doi: 10.1038/mp.2015.117.
Toulopoulou, T., van Haren, N., Zhang, X., Sham, P. C., Cherny, S. S., Campbell, D. D., Picchioni, M., Murray, R., Boomsma, D. I., Hulshoff Pol, H. E., Brouwer, R., Schnack, H., Fañanás, L., Sauer, H., Nenadic, I., Weisbrod, M., Cannon, T. D., & Kahn, R. S. (2015). Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort. Molecular psychiatry, 20(11), 1482. https://doi.org/10.1038/mp.2015.117
Toulopoulou, T, et al. "Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort." Molecular psychiatry vol. 20,11 (2015): 1482. doi: https://doi.org/10.1038/mp.2015.117
Toulopoulou T, van Haren N, Zhang X, Sham PC, Cherny SS, Campbell DD, Picchioni M, Murray R, Boomsma DI, Hulshoff Pol HE, Brouwer R, Schnack H, Fañanás L, Sauer H, Nenadic I, Weisbrod M, Cannon TD, Kahn RS. Reciprocal causation models of cognitive vs volumetric cerebral intermediate phenotypes for schizophrenia in a pan-European twin cohort. Mol Psychiatry. 2015 Nov;20(11):1482. doi: 10.1038/mp.2015.117. Epub 2015 Aug 18. PMID: 26283640.
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Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings.

Frontiers in psychiatry

Collin G, Hulshoff Pol HE, Haijma SV, Cahn W, Kahn RS, van den Heuvel MP.
PMID: 22203807
Front Psychiatry. 2011 Dec 16;2:73. doi: 10.3389/fpsyt.2011.00073. eCollection 2011.

The long-standing notion of schizophrenia as a disorder of connectivity is supported by emerging evidence from recent neuroimaging studies, suggesting impairments of both structural and functional connectivity in schizophrenia. However, investigations are generally restricted to supratentorial brain regions, thereby...

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Collin G, Hulshoff Pol HE, Haijma SV, et al. Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings. Front Psychiatry. 2011;2:73doi: 10.3389/fpsyt.2011.00073.
Collin, G., Hulshoff Pol, H. E., Haijma, S. V., Cahn, W., Kahn, R. S., & van den Heuvel, M. P. (2011). Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings. Frontiers in psychiatry, 273. https://doi.org/10.3389/fpsyt.2011.00073
Collin, Guusje, et al. "Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings." Frontiers in psychiatry vol. 2 (2011): 73. doi: https://doi.org/10.3389/fpsyt.2011.00073
Collin G, Hulshoff Pol HE, Haijma SV, Cahn W, Kahn RS, van den Heuvel MP. Impaired cerebellar functional connectivity in schizophrenia patients and their healthy siblings. Front Psychiatry. 2011 Dec 16;2:73. doi: 10.3389/fpsyt.2011.00073. eCollection 2011. PMID: 22203807; PMCID: PMC3240868.
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Detection of Glutamate Alterations in the Human Brain Using .

Frontiers in psychiatry

Marsman A, Boer VO, Luijten PR, Hulshoff Pol HE, Klomp DWJ, Mandl RCW.
PMID: 28484398
Front Psychiatry. 2017 Apr 21;8:60. doi: 10.3389/fpsyt.2017.00060. eCollection 2017.

PURPOSE: To assess reproducibility of glutamate measurement in the human brain by two short echo time (TE) MATERIALS AND METHODS: Eight subjects were scanned twice using both STEAM and sLASER. Data were acquired from the frontal and occipital brain...

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Marsman A, Boer VO, Luijten PR, et al. Detection of Glutamate Alterations in the Human Brain Using . Front Psychiatry. 2017;8:60doi: 10.3389/fpsyt.2017.00060.
Marsman, A., Boer, V. O., Luijten, P. R., Hulshoff Pol, H. E., Klomp, D. W. J., & Mandl, R. C. W. (2017). Detection of Glutamate Alterations in the Human Brain Using . Frontiers in psychiatry, 860. https://doi.org/10.3389/fpsyt.2017.00060
Marsman, Anouk, et al. "Detection of Glutamate Alterations in the Human Brain Using ." Frontiers in psychiatry vol. 8 (2017): 60. doi: https://doi.org/10.3389/fpsyt.2017.00060
Marsman A, Boer VO, Luijten PR, Hulshoff Pol HE, Klomp DWJ, Mandl RCW. Detection of Glutamate Alterations in the Human Brain Using . Front Psychiatry. 2017 Apr 21;8:60. doi: 10.3389/fpsyt.2017.00060. eCollection 2017. PMID: 28484398; PMCID: PMC5399075.
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Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data.

Frontiers in neuroinformatics

Kochunov P, Patel B, Ganjgahi H, Donohue B, Ryan M, Hong EL, Chen X, Adhikari B, Jahanshad N, Thompson PM, Van't Ent D, den Braber A, de Geus EJC, Brouwer RM, Boomsma DI, Hulshoff Pol HE, de Zubicaray GI, McMahon KL, Martin NG, Wright MJ, Nichols TE.
PMID: 30914942
Front Neuroinform. 2019 Mar 12;13:16. doi: 10.3389/fninf.2019.00016. eCollection 2019.

Imaging genetic analyses use heritability calculations to measure the fraction of phenotypic variance attributable to additive genetic factors. We tested the agreement between heritability estimates provided by four methods that are used for heritability estimates in neuroimaging traits. SOLAR-Eclipse...

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Kochunov P, Patel B, Ganjgahi H, et al. Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Front Neuroinform. 2019;13:16doi: 10.3389/fninf.2019.00016.
Kochunov, P., Patel, B., Ganjgahi, H., Donohue, B., Ryan, M., Hong, E. L., Chen, X., Adhikari, B., Jahanshad, N., Thompson, P. M., Van't Ent, D., den Braber, A., de Geus, E. J. C., Brouwer, R. M., Boomsma, D. I., Hulshoff Pol, H. E., de Zubicaray, G. I., McMahon, K. L., Martin, N. G., Wright, M. J., & Nichols, T. E. (2019). Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Frontiers in neuroinformatics, 1316. https://doi.org/10.3389/fninf.2019.00016
Kochunov, Peter, et al. "Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data." Frontiers in neuroinformatics vol. 13 (2019): 16. doi: https://doi.org/10.3389/fninf.2019.00016
Kochunov P, Patel B, Ganjgahi H, Donohue B, Ryan M, Hong EL, Chen X, Adhikari B, Jahanshad N, Thompson PM, Van't Ent D, den Braber A, de Geus EJC, Brouwer RM, Boomsma DI, Hulshoff Pol HE, de Zubicaray GI, McMahon KL, Martin NG, Wright MJ, Nichols TE. Homogenizing Estimates of Heritability Among SOLAR-Eclipse, OpenMx, APACE, and FPHI Software Packages in Neuroimaging Data. Front Neuroinform. 2019 Mar 12;13:16. doi: 10.3389/fninf.2019.00016. eCollection 2019. PMID: 30914942; PMCID: PMC6422938.
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