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DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Jahanshad N, Toga AW, McMahon KL, de Zubicaray GI, Hickie I, Wright MJ, Thompson PM.
PMID: 24827471
Proc IEEE Int Symp Biomed Imaging. 2013;624-627. doi: 10.1109/ISBI.2013.6556552.

The 'rich club' coefficient describes a phenomenon where a network's hubs (high-degree nodes) are on average more intensely interconnected than lower-degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how...

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Dennis EL, Jahanshad N, Toga AW, et al. DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30. Proc IEEE Int Symp Biomed Imaging. 2013;624-627doi: 10.1109/ISBI.2013.6556552.
Dennis, E. L., Jahanshad, N., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Hickie, I., Wright, M. J., & Thompson, P. M. (2013). DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30. Proceedings. IEEE International Symposium on Biomedical Imaging, 624-627. https://doi.org/10.1109/ISBI.2013.6556552
Dennis, Emily L, et al. "DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30." Proceedings. IEEE International Symposium on Biomedical Imaging vol. (2013): 624-627. doi: https://doi.org/10.1109/ISBI.2013.6556552
Dennis EL, Jahanshad N, Toga AW, McMahon KL, de Zubicaray GI, Hickie I, Wright MJ, Thompson PM. DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30. Proc IEEE Int Symp Biomed Imaging. 2013;624-627. doi: 10.1109/ISBI.2013.6556552. PMID: 24827471; PMCID: PMC4017916.
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Reprint of: Mapping connectivity in the developing brain.

International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience

Dennis EL, Thompson PM.
PMID: 24295552
Int J Dev Neurosci. 2014 Feb;32:41-57. doi: 10.1016/j.ijdevneu.2013.11.005. Epub 2013 Dec 02.

Recently, there has been a wealth of research into structural and functional brain connectivity, and how they change over development. While we are far from a complete understanding, these studies have yielded important insights into human brain development. There...

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Dennis EL, Thompson PM. Reprint of: Mapping connectivity in the developing brain. Int J Dev Neurosci. 2013;32:41-57doi: 10.1016/j.ijdevneu.2013.11.005.
Dennis, E. L., & Thompson, P. M. (2014). Reprint of: Mapping connectivity in the developing brain. International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience, 3241-57. https://doi.org/10.1016/j.ijdevneu.2013.11.005
Dennis, Emily L, and Thompson, Paul M. "Reprint of: Mapping connectivity in the developing brain." International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience vol. 32 (2014): 41-57. doi: https://doi.org/10.1016/j.ijdevneu.2013.11.005
Dennis EL, Thompson PM. Reprint of: Mapping connectivity in the developing brain. Int J Dev Neurosci. 2014 Feb;32:41-57. doi: 10.1016/j.ijdevneu.2013.11.005. Epub 2013 Dec 02. PMID: 24295552; PMCID: PMC4442620.
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Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines.

Journal of medical imaging (Bellingham, Wash.)

Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA.
PMID: 25558465
J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005.

Imaging genetics is an emerging methodological field that combines genetic information with medical imaging-derived metrics to understand how genetic factors impact observable phenotypes. In order for a trait to be a reasonable phenotype in an imaging genetics study, it...

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Koran ME, Thornton-Wells TA, Jahanshad N, et al. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014;1(1):014005doi: 10.1117/1.JMI.1.1.014005.
Koran, M. E., Thornton-Wells, T. A., Jahanshad, N., Glahn, D. C., Thompson, P. M., Blangero, J., Nichols, T. E., Kochunov, P., & Landman, B. A. (2014). Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. Journal of medical imaging (Bellingham, Wash.), 1(1), 014005. https://doi.org/10.1117/1.JMI.1.1.014005
Koran, Mary Ellen, et al. "Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines." Journal of medical imaging (Bellingham, Wash.) vol. 1,1 (2014): 014005. doi: https://doi.org/10.1117/1.JMI.1.1.014005
Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA. Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines. J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005. PMID: 25558465; PMCID: PMC4281883.
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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
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
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group.

Molecular psychiatry

Han LKM, Dinga R, Hahn T, Ching CRK, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, Brak I, Filho GB, Carballedo A, Connolly CG, Couvy-Duchesne B, Cullen KR, Dannlowski U, Davey CG, Dima D, Duran FLS, Enneking V, Filimonova E, Frenzel S, Frodl T, Fu CHY, Godlewska BR, Gotlib IH, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Ho TC, Hosten N, Jansen A, Kähler C, Kircher T, Klimes-Dougan B, Krämer B, Krug A, Lagopoulos J, Leenings R, MacMaster FP, MacQueen G, McIntosh A, McLellan Q, McMahon KL, Medland SE, Mueller BA, Mwangi B, Osipov E, Portella MJ, Pozzi E, Reneman L, Repple J, Rosa PGP, Sacchet MD, Sämann PG, Schnell K, Schrantee A, Simulionyte E, Soares JC, Sommer J, Stein DJ, Steinsträter O, Strike LT, Thomopoulos SI, van Tol MJ, Veer IM, Vermeiren RRJM, Walter H, van der Wee NJA, van der Werff SJA, Whalley H, Winter NR, Wittfeld K, Wright MJ, Wu MJ, Völzke H, Yang TT, Zannias V, de Zubicaray GI, Zunta-Soares GB, Abé C, Alda M, Andreassen OA, Bøen E, Bonnin CM, Canales-Rodriguez EJ, Cannon D, Caseras X, Chaim-Avancini TM, Elvsåshagen T, Favre P, Foley SF, Fullerton JM, Goikolea JM, Haarman BCM, Hajek T, Henry C, Houenou J, Howells FM, Ingvar M, Kuplicki R, Lafer B, Landén M, Machado-Vieira R, Malt UF, McDonald C, Mitchell PB, Nabulsi L, Otaduy MCG, Overs BJ, Polosan M, Pomarol-Clotet E, Radua J, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Savitz J, Schene AH, Schofield PR, Serpa MH, Sim K, Soeiro-de-Souza MG, Sutherland AN, Temmingh HS, Timmons GM, Uhlmann A, Vieta E, Wolf DH, Zanetti MV, Jahanshad N, Thompson PM, Veltman DJ, Penninx BWJH, Marquand AF, Cole JH, Schmaal L.
PMID: 32424236
Mol Psychiatry. 2021 Sep;26(9):5124-5139. doi: 10.1038/s41380-020-0754-0. Epub 2020 May 18.

Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large...

Cite
Han LKM, Dinga R, Hahn T, et al. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Mol Psychiatry. 2020;26(9):5124-5139doi: 10.1038/s41380-020-0754-0.
Han, L. K. M., Dinga, R., Hahn, T., Ching, C. R. K., Eyler, L. T., Aftanas, L., Aghajani, M., Aleman, A., Baune, B. T., Berger, K., Brak, I., Filho, G. B., Carballedo, A., Connolly, C. G., Couvy-Duchesne, B., Cullen, K. R., Dannlowski, U., Davey, C. G., Dima, D., Duran, F. L. S., Enneking, V., Filimonova, E., Frenzel, S., Frodl, T., Fu, C. H. Y., Godlewska, B. R., Gotlib, I. H., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Gruber, O., Hall, G. B., Harrison, B. J., Hatton, S. N., Hermesdorf, M., Hickie, I. B., Ho, T. C., Hosten, N., Jansen, A., Kähler, C., Kircher, T., Klimes-Dougan, B., Krämer, B., Krug, A., Lagopoulos, J., Leenings, R., MacMaster, F. P., MacQueen, G., McIntosh, A., McLellan, Q., McMahon, K. L., Medland, S. E., Mueller, B. A., Mwangi, B., Osipov, E., Portella, M. J., Pozzi, E., Reneman, L., Repple, J., Rosa, P. G. P., Sacchet, M. D., Sämann, P. G., Schnell, K., Schrantee, A., Simulionyte, E., Soares, J. C., Sommer, J., Stein, D. J., Steinsträter, O., Strike, L. T., Thomopoulos, S. I., van Tol, M. J., Veer, I. M., Vermeiren, R. R. J. M., Walter, H., van der Wee, N. J. A., van der Werff, S. J. A., Whalley, H., Winter, N. R., Wittfeld, K., Wright, M. J., Wu, M. J., Völzke, H., Yang, T. T., Zannias, V., de Zubicaray, G. I., Zunta-Soares, G. B., Abé, C., Alda, M., Andreassen, O. A., Bøen, E., Bonnin, C. M., Canales-Rodriguez, E. J., Cannon, D., Caseras, X., Chaim-Avancini, T. M., Elvsåshagen, T., Favre, P., Foley, S. F., Fullerton, J. M., Goikolea, J. M., Haarman, B. C. M., Hajek, T., Henry, C., Houenou, J., Howells, F. M., Ingvar, M., Kuplicki, R., Lafer, B., Landén, M., Machado-Vieira, R., Malt, U. F., McDonald, C., Mitchell, P. B., Nabulsi, L., Otaduy, M. C. G., Overs, B. J., Polosan, M., Pomarol-Clotet, E., Radua, J., Rive, M. M., Roberts, G., Ruhe, H. G., Salvador, R., Sarró, S., Satterthwaite, T. D., Savitz, J., Schene, A. H., Schofield, P. R., Serpa, M. H., Sim, K., Soeiro-de-Souza, M. G., Sutherland, A. N., Temmingh, H. S., Timmons, G. M., Uhlmann, A., Vieta, E., Wolf, D. H., Zanetti, M. V., Jahanshad, N., Thompson, P. M., Veltman, D. J., Penninx, B. W. J. H., Marquand, A. F., Cole, J. H., & Schmaal, L. (2021). Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular psychiatry, 26(9), 5124-5139. https://doi.org/10.1038/s41380-020-0754-0
Han, Laura K M, et al. "Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group." Molecular psychiatry vol. 26,9 (2021): 5124-5139. doi: https://doi.org/10.1038/s41380-020-0754-0
Han LKM, Dinga R, Hahn T, Ching CRK, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, Brak I, Filho GB, Carballedo A, Connolly CG, Couvy-Duchesne B, Cullen KR, Dannlowski U, Davey CG, Dima D, Duran FLS, Enneking V, Filimonova E, Frenzel S, Frodl T, Fu CHY, Godlewska BR, Gotlib IH, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Ho TC, Hosten N, Jansen A, Kähler C, Kircher T, Klimes-Dougan B, Krämer B, Krug A, Lagopoulos J, Leenings R, MacMaster FP, MacQueen G, McIntosh A, McLellan Q, McMahon KL, Medland SE, Mueller BA, Mwangi B, Osipov E, Portella MJ, Pozzi E, Reneman L, Repple J, Rosa PGP, Sacchet MD, Sämann PG, Schnell K, Schrantee A, Simulionyte E, Soares JC, Sommer J, Stein DJ, Steinsträter O, Strike LT, Thomopoulos SI, van Tol MJ, Veer IM, Vermeiren RRJM, Walter H, van der Wee NJA, van der Werff SJA, Whalley H, Winter NR, Wittfeld K, Wright MJ, Wu MJ, Völzke H, Yang TT, Zannias V, de Zubicaray GI, Zunta-Soares GB, Abé C, Alda M, Andreassen OA, Bøen E, Bonnin CM, Canales-Rodriguez EJ, Cannon D, Caseras X, Chaim-Avancini TM, Elvsåshagen T, Favre P, Foley SF, Fullerton JM, Goikolea JM, Haarman BCM, Hajek T, Henry C, Houenou J, Howells FM, Ingvar M, Kuplicki R, Lafer B, Landén M, Machado-Vieira R, Malt UF, McDonald C, Mitchell PB, Nabulsi L, Otaduy MCG, Overs BJ, Polosan M, Pomarol-Clotet E, Radua J, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Savitz J, Schene AH, Schofield PR, Serpa MH, Sim K, Soeiro-de-Souza MG, Sutherland AN, Temmingh HS, Timmons GM, Uhlmann A, Vieta E, Wolf DH, Zanetti MV, Jahanshad N, Thompson PM, Veltman DJ, Penninx BWJH, Marquand AF, Cole JH, Schmaal L. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Mol Psychiatry. 2021 Sep;26(9):5124-5139. doi: 10.1038/s41380-020-0754-0. Epub 2020 May 18. PMID: 32424236; PMCID: PMC8589647.
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CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Jahanshad N, Toga AW, Johnson K, McMahon KL, de Zubicaray GI, Martin NG, Hickie IB, Wright MJ, Thompson PM.
PMID: 22903354
Proc IEEE Int Symp Biomed Imaging. 2012;904-908. doi: 10.1109/ISBI.2012.6235695.

Graph theory can be applied to matrices that represent the brain's anatomical connections, to better understand global properties of anatomical networks, such as their clustering, efficiency and "small-world" topology. Network analysis is popular in adult studies of connectivity, but...

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Dennis EL, Jahanshad N, Toga AW, et al. CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS. Proc IEEE Int Symp Biomed Imaging. 2012;904-908doi: 10.1109/ISBI.2012.6235695.
Dennis, E. L., Jahanshad, N., Toga, A. W., Johnson, K., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Hickie, I. B., Wright, M. J., & Thompson, P. M. (2012). CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS. Proceedings. IEEE International Symposium on Biomedical Imaging, 904-908. https://doi.org/10.1109/ISBI.2012.6235695
Dennis, Emily L, et al. "CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS." Proceedings. IEEE International Symposium on Biomedical Imaging vol. (2012): 904-908. doi: https://doi.org/10.1109/ISBI.2012.6235695
Dennis EL, Jahanshad N, Toga AW, Johnson K, McMahon KL, de Zubicaray GI, Martin NG, Hickie IB, Wright MJ, Thompson PM. CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS. Proc IEEE Int Symp Biomed Imaging. 2012;904-908. doi: 10.1109/ISBI.2012.6235695. PMID: 22903354; PMCID: PMC3420974.
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DISCOVERY OF GENES THAT AFFECT HUMAN BRAIN CONNECTIVITY: A GENOME-WIDE ANALYSIS OF THE CONNECTOME.

Proceedings. IEEE International Symposium on Biomedical Imaging

Jahanshad N, Hibar DP, Ryles A, Toga AW, McMahon KL, de Zubicaray GI, Hansell NK, Montgomery GW, Martin NG, Wright MJ, Thompson PM.
PMID: 22903411
Proc IEEE Int Symp Biomed Imaging. 2012;542-545. doi: 10.1109/ISBI.2012.6235605.

Human brain connectivity is disrupted in a wide range of disorders - from Alzheimer's disease to autism - but little is known about which specific genes affect it. Here we conducted a genome-wide association for connectivity matrices that capture...

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Jahanshad N, Hibar DP, Ryles A, et al. DISCOVERY OF GENES THAT AFFECT HUMAN BRAIN CONNECTIVITY: A GENOME-WIDE ANALYSIS OF THE CONNECTOME. Proc IEEE Int Symp Biomed Imaging. 2012;542-545doi: 10.1109/ISBI.2012.6235605.
Jahanshad, N., Hibar, D. P., Ryles, A., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Hansell, N. K., Montgomery, G. W., Martin, N. G., Wright, M. J., & Thompson, P. M. (2012). DISCOVERY OF GENES THAT AFFECT HUMAN BRAIN CONNECTIVITY: A GENOME-WIDE ANALYSIS OF THE CONNECTOME. Proceedings. IEEE International Symposium on Biomedical Imaging, 542-545. https://doi.org/10.1109/ISBI.2012.6235605
Jahanshad, Neda, et al. "DISCOVERY OF GENES THAT AFFECT HUMAN BRAIN CONNECTIVITY: A GENOME-WIDE ANALYSIS OF THE CONNECTOME." Proceedings. IEEE International Symposium on Biomedical Imaging vol. (2012): 542-545. doi: https://doi.org/10.1109/ISBI.2012.6235605
Jahanshad N, Hibar DP, Ryles A, Toga AW, McMahon KL, de Zubicaray GI, Hansell NK, Montgomery GW, Martin NG, Wright MJ, Thompson PM. DISCOVERY OF GENES THAT AFFECT HUMAN BRAIN CONNECTIVITY: A GENOME-WIDE ANALYSIS OF THE CONNECTOME. Proc IEEE Int Symp Biomed Imaging. 2012;542-545. doi: 10.1109/ISBI.2012.6235605. PMID: 22903411; PMCID: PMC3420975.
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MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI.

Proceedings. IEEE International Symposium on Biomedical Imaging

Lee AD, Leporé N, de Leeuw J, Brun CC, Barysheva M, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, Thompson PM.
PMID: 30555623
Proc IEEE Int Symp Biomed Imaging. 2010 Apr;2010:1157-1160. doi: 10.1109/ISBI.2010.5490199. Epub 2010 Jun 21.

Twin studies are a major research direction in imaging genetics, a new field, which combines algorithms from quantitative genetics and neuroimaging to assess genetic effects on the brain. In twin imaging studies, it is common to estimate the intraclass...

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Lee AD, Leporé N, de Leeuw J, et al. MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI. Proc IEEE Int Symp Biomed Imaging. 2010;2010:1157-1160doi: 10.1109/ISBI.2010.5490199.
Lee, A. D., Leporé, N., de Leeuw, J., Brun, C. C., Barysheva, M., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., & Thompson, P. M. (2010). MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI. Proceedings. IEEE International Symposium on Biomedical Imaging, 20101157-1160. https://doi.org/10.1109/ISBI.2010.5490199
Lee, Agatha D, et al. "MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2010 (2010): 1157-1160. doi: https://doi.org/10.1109/ISBI.2010.5490199
Lee AD, Leporé N, de Leeuw J, Brun CC, Barysheva M, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, Thompson PM. MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI. Proc IEEE Int Symp Biomed Imaging. 2010 Apr;2010:1157-1160. doi: 10.1109/ISBI.2010.5490199. Epub 2010 Jun 21. PMID: 30555623; PMCID: PMC6291217.
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COMPARISON OF VOLUMETRIC REGISTRATION ALGORITHMS FOR TENSOR-BASED MORPHOMETRY.

Proceedings. IEEE International Symposium on Biomedical Imaging

Villalon J, Joshi AA, Toga AW, Thompson PM.
PMID: 26925198
Proc IEEE Int Symp Biomed Imaging. 2011 Mar-Apr;2011:1536-1541. doi: 10.1109/ISBI.2011.5872694.

Nonlinear registration of brain MRI scans is often used to quantify morphological differences associated with disease or genetic factors. Recently, surface-guided fully 3D volumetric registrations have been developed that combine intensity-guided volume registrations with cortical surface constraints. In this...

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Villalon J, Joshi AA, Toga AW, et al. COMPARISON OF VOLUMETRIC REGISTRATION ALGORITHMS FOR TENSOR-BASED MORPHOMETRY. Proc IEEE Int Symp Biomed Imaging. 2011;2011:1536-1541doi: 10.1109/ISBI.2011.5872694.
Villalon, J., Joshi, A. A., Toga, A. W., & Thompson, P. M. (2011). COMPARISON OF VOLUMETRIC REGISTRATION ALGORITHMS FOR TENSOR-BASED MORPHOMETRY. Proceedings. IEEE International Symposium on Biomedical Imaging, 20111536-1541. https://doi.org/10.1109/ISBI.2011.5872694
Villalon, Julio, et al. "COMPARISON OF VOLUMETRIC REGISTRATION ALGORITHMS FOR TENSOR-BASED MORPHOMETRY." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 2011 (2011): 1536-1541. doi: https://doi.org/10.1109/ISBI.2011.5872694
Villalon J, Joshi AA, Toga AW, Thompson PM. COMPARISON OF VOLUMETRIC REGISTRATION ALGORITHMS FOR TENSOR-BASED MORPHOMETRY. Proc IEEE Int Symp Biomed Imaging. 2011 Mar-Apr;2011:1536-1541. doi: 10.1109/ISBI.2011.5872694. PMID: 26925198; PMCID: PMC4767174.
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Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults.

Multimodal brain image analysis : second International Workshop, MBIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1-5, 2012 : proceedings. MBIA (Workshop) (2nd : 2012 : Nice, France)

Jahanshad N, Prasad G, Toga AW, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, Thompson PM.
PMID: 25584366
Multimodal Brain Image Anal (2012). 2012;7509:29-40. doi: 10.1007/978-3-642-33530-3_3.

Brain connectivity analyses are increasingly popular for investigating organization. Many connectivity measures including path lengths are generally defined as the number of nodes traversed to connect a node in a graph to the others. Despite its name, path length...

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Jahanshad N, Prasad G, Toga AW, et al. Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults. Multimodal Brain Image Anal (2012). 2012;7509:29-40doi: 10.1007/978-3-642-33530-3_3.
Jahanshad, N., Prasad, G., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., & Thompson, P. M. (2012). Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults. Multimodal brain image analysis : second International Workshop, MBIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1-5, 2012 : proceedings. MBIA (Workshop) (2nd : 2012 : Nice, France), 750929-40. https://doi.org/10.1007/978-3-642-33530-3_3
Jahanshad, Neda, et al. "Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults." Multimodal brain image analysis : second International Workshop, MBIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1-5, 2012 : proceedings. MBIA (Workshop) (2nd : 2012 : Nice, France) vol. 7509 (2012): 29-40. doi: https://doi.org/10.1007/978-3-642-33530-3_3
Jahanshad N, Prasad G, Toga AW, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, Thompson PM. Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults. Multimodal Brain Image Anal (2012). 2012;7509:29-40. doi: 10.1007/978-3-642-33530-3_3. PMID: 25584366; PMCID: PMC4288784.
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