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The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults.

Human brain mapping

Wesarg C, Veer IM, Oei NYL, Daedelow LS, Lett TA, Banaschewski T, Barker GJ, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Brühl R, Martinot JL, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Whelan R, Schumann G, Heinz A, Walter H.
PMID: 33818852
Hum Brain Mapp. 2021 Jul;42(10):3269-3281. doi: 10.1002/hbm.25433. Epub 2021 Apr 05.

Extensive research has demonstrated that rs1360780, a common single nucleotide polymorphism within the FKBP5 gene, interacts with early-life stress in predicting psychopathology. Previous results suggest that carriers of the TT genotype of rs1360780 who were exposed to child abuse...

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Wesarg C, Veer IM, Oei NYL, et al. The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults. Hum Brain Mapp. 2021;42(10):3269-3281doi: 10.1002/hbm.25433.
Wesarg, C., Veer, I. M., Oei, N. Y. L., Daedelow, L. S., Lett, T. A., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Brühl, R., Martinot, J. L., Artiges, E., Nees, F., Orfanos, D. P., Poustka, L., Hohmann, S., Fröhner, J. H., Smolka, M. N., Whelan, R., Schumann, G., Heinz, A., Walter, H. (2021). The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults. Human brain mapping, 42(10), 3269-3281. https://doi.org/10.1002/hbm.25433
Wesarg, Christiane, et al. "The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults." Human brain mapping vol. 42,10 (2021): 3269-3281. doi: https://doi.org/10.1002/hbm.25433
Wesarg C, Veer IM, Oei NYL, Daedelow LS, Lett TA, Banaschewski T, Barker GJ, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Brühl R, Martinot JL, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Whelan R, Schumann G, Heinz A, Walter H. The interaction of child abuse and rs1360780 of the FKBP5 gene is associated with amygdala resting-state functional connectivity in young adults. Hum Brain Mapp. 2021 Jul;42(10):3269-3281. doi: 10.1002/hbm.25433. Epub 2021 Apr 05. PMID: 33818852; PMCID: PMC8193540.
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Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse.

Science advances

Jia T, Xie C, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Robbins TW, Feng J.
PMID: 33536210
Sci Adv. 2021 Feb 03;7(6). doi: 10.1126/sciadv.abd4074. Print 2021 Feb.

Prompted by recent evidence of neural circuitry in rodent models, functional magnetic resonance imaging and functional connectivity analyses were conducted for a large adolescent population at two ages, together with alcohol abuse measures, to characterize a neural network that...

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Jia T, Xie C, Banaschewski T, et al. Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse. Sci Adv. 2021;7(6)doi: 10.1126/sciadv.abd4074.
Jia, T., Xie, C., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J. L., Martinot, M. P., Nees, F., Orfanos, D. P., Poustka, L., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Schumann, G., Robbins, T. W., Feng, J. (2021). Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse. Science advances, 7(6), . https://doi.org/10.1126/sciadv.abd4074
Jia, Tianye, et al. "Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse." Science advances vol. 7,6 (2021). doi: https://doi.org/10.1126/sciadv.abd4074
Jia T, Xie C, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Robbins TW, Feng J. Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse. Sci Adv. 2021 Feb 03;7(6). doi: 10.1126/sciadv.abd4074. Print 2021 Feb. PMID: 33536210; PMCID: PMC7857680.
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The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study.

Cerebral cortex (New York, N.Y. : 1991)

Zhang Y, Luo Q, Huang CC, Lo CZ, Langley C, Desrivières S, Quinlan EB, Banaschewski T, Millenet S, Bokde ALW, Flor H, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Artiges E, Paillère-Martinot ML, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Tsai SJ, Lin CP, Bullmore E, Schumann G, Sahakian BJ, Feng J.
PMID: 33471126
Cereb Cortex. 2021 May 10;31(6):3021-3033. doi: 10.1093/cercor/bhaa408.

Psychological androgyny has long been associated with greater cognitive flexibility, adaptive behavior, and better mental health, but whether a similar concept can be defined using neural features remains unknown. Using the neuroimaging data from 9620 participants, we found that...

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Zhang Y, Luo Q, Huang CC, et al. The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cereb Cortex. 2021;31(6):3021-3033doi: 10.1093/cercor/bhaa408.
Zhang, Y., Luo, Q., Huang, C. C., Lo, C. Z., Langley, C., Desrivières, S., Quinlan, E. B., Banaschewski, T., Millenet, S., Bokde, A. L. W., Flor, H., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J. L., Artiges, E., Paillère-Martinot, M. L., Nees, F., Orfanos, D. P., Poustka, L., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Tsai, S. J., Lin, C. P., Bullmore, E., Schumann, G., Sahakian, B. J., Feng, J. (2021). The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cerebral cortex (New York, N.Y. : 1991), 31(6), 3021-3033. https://doi.org/10.1093/cercor/bhaa408
Zhang, Yi, et al. "The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study." Cerebral cortex (New York, N.Y. : 1991) vol. 31,6 (2021): 3021-3033. doi: https://doi.org/10.1093/cercor/bhaa408
Zhang Y, Luo Q, Huang CC, Lo CZ, Langley C, Desrivières S, Quinlan EB, Banaschewski T, Millenet S, Bokde ALW, Flor H, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Artiges E, Paillère-Martinot ML, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Tsai SJ, Lin CP, Bullmore E, Schumann G, Sahakian BJ, Feng J. The Human Brain Is Best Described as Being on a Female/Male Continuum: Evidence from a Neuroimaging Connectivity Study. Cereb Cortex. 2021 May 10;31(6):3021-3033. doi: 10.1093/cercor/bhaa408. PMID: 33471126; PMCID: PMC8107794.
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Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men.

Cerebral cortex (New York, N.Y. : 1991)

Liao Z, Patel Y, Khairullah A, Parker N, Paus T.
PMID: 33429422
Cereb Cortex. 2021 May 10;31(6):2812-2821. doi: 10.1093/cercor/bhaa389.

Adolescence is a period of brain maturation that may involve a second wave of organizational effects of sex steroids on the brain. Rodent studies suggest that, overall, organizational effects of gonadal steroid hormones decrease from the prenatal/perinatal period to...

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Liao Z, Patel Y, Khairullah A, et al. Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cereb Cortex. 2021;31(6):2812-2821doi: 10.1093/cercor/bhaa389.
Liao, Z., Patel, Y., Khairullah, A., Parker, N., & Paus, T. (2021). Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cerebral cortex (New York, N.Y. : 1991), 31(6), 2812-2821. https://doi.org/10.1093/cercor/bhaa389
Liao, Zhijie, et al. "Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men." Cerebral cortex (New York, N.Y. : 1991) vol. 31,6 (2021): 2812-2821. doi: https://doi.org/10.1093/cercor/bhaa389
Liao Z, Patel Y, Khairullah A, Parker N, Paus T. Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cereb Cortex. 2021 May 10;31(6):2812-2821. doi: 10.1093/cercor/bhaa389. PMID: 33429422; PMCID: PMC8107791.
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Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men.

Cerebral cortex (New York, N.Y. : 1991)

Liao Z, Patel Y, Khairullah A, Parker N, Paus T.
PMID: 33429422
Cereb Cortex. 2021 May 10;31(6):2812-2821. doi: 10.1093/cercor/bhaa389.

Adolescence is a period of brain maturation that may involve a second wave of organizational effects of sex steroids on the brain. Rodent studies suggest that, overall, organizational effects of gonadal steroid hormones decrease from the prenatal/perinatal period to...

Cite
Liao Z, Patel Y, Khairullah A, et al. Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cereb Cortex. 2021;31(6):2812-2821doi: 10.1093/cercor/bhaa389.
Liao, Z., Patel, Y., Khairullah, A., Parker, N., & Paus, T. (2021). Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cerebral cortex (New York, N.Y. : 1991), 31(6), 2812-2821. https://doi.org/10.1093/cercor/bhaa389
Liao, Zhijie, et al. "Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men." Cerebral cortex (New York, N.Y. : 1991) vol. 31,6 (2021): 2812-2821. doi: https://doi.org/10.1093/cercor/bhaa389
Liao Z, Patel Y, Khairullah A, Parker N, Paus T. Pubertal Testosterone and the Structure of the Cerebral Cortex in Young Men. Cereb Cortex. 2021 May 10;31(6):2812-2821. doi: 10.1093/cercor/bhaa389. PMID: 33429422; PMCID: PMC8107791.
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Height-based Indices of Pubertal Timing in Male Adolescents.

International journal of developmental science

Khairullah A, May MT, Tilling K, Howe LD, Leonard G, Perron M, Richer L, Veillette S, Pausova Z, Paus T.
PMID: 26052478
Int J Dev Sci. 2013;7(2):105-116. doi: 10.3233/DEV-1312120.

It is important to account for timing of puberty when studying the adolescent brain and cognition. The use of classical methods for assessing pubertal status may not be feasible in some studies, especially in male adolescents. Using data from...

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Khairullah A, May MT, Tilling K, et al. Height-based Indices of Pubertal Timing in Male Adolescents. Int J Dev Sci. 2013;7(2):105-116doi: 10.3233/DEV-1312120.
Khairullah, A., May, M. T., Tilling, K., Howe, L. D., Leonard, G., Perron, M., Richer, L., Veillette, S., Pausova, Z., & Paus, T. (2013). Height-based Indices of Pubertal Timing in Male Adolescents. International journal of developmental science, 7(2), 105-116. https://doi.org/10.3233/DEV-1312120
Khairullah, Ammar, et al. "Height-based Indices of Pubertal Timing in Male Adolescents." International journal of developmental science vol. 7,2 (2013): 105-116. doi: https://doi.org/10.3233/DEV-1312120
Khairullah A, May MT, Tilling K, Howe LD, Leonard G, Perron M, Richer L, Veillette S, Pausova Z, Paus T. Height-based Indices of Pubertal Timing in Male Adolescents. Int J Dev Sci. 2013;7(2):105-116. doi: 10.3233/DEV-1312120. PMID: 26052478; PMCID: PMC4456039.
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A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas.

Frontiers in neuroscience

French L, Paus T.
PMID: 26441498
Front Neurosci. 2015 Sep 16;9:323. doi: 10.3389/fnins.2015.00323. eCollection 2015.

No abstract available.

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French L, Paus T. A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas. Front Neurosci. 2015;9:323doi: 10.3389/fnins.2015.00323.
French, L., & Paus, T. (2015). A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas. Frontiers in neuroscience, 9323. https://doi.org/10.3389/fnins.2015.00323
French, Leon, and Paus, Tomáš. "A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas." Frontiers in neuroscience vol. 9 (2015): 323. doi: https://doi.org/10.3389/fnins.2015.00323
French L, Paus T. A FreeSurfer view of the cortical transcriptome generated from the Allen Human Brain Atlas. Front Neurosci. 2015 Sep 16;9:323. doi: 10.3389/fnins.2015.00323. eCollection 2015. PMID: 26441498; PMCID: PMC4584957.
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Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study.

Molecular psychiatry

Modabbernia A, Reichenberg A, Ing A, Moser DA, Doucet GE, Artiges E, Banaschewski T, Barker GJ, Becker A, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Fröhner JH, Garavan H, Gowland P, Grigis A, Grimmer Y, Heinz A, Insensee C, Ittermann B, Martinot JL, Martinot MP, Millenet S, Nees F, Orfanos DP, Paus T, Penttilä J, Poustka L, Smolka MN, Stringaris A, van Noort BM, Walter H, Whelan R, Schumann G, Frangou S.
PMID: 32444868
Mol Psychiatry. 2021 Sep;26(9):4905-4918. doi: 10.1038/s41380-020-0757-x. Epub 2020 May 22.

Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from...

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Modabbernia A, Reichenberg A, Ing A, et al. Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study. Mol Psychiatry. 2020;26(9):4905-4918doi: 10.1038/s41380-020-0757-x.
Modabbernia, A., Reichenberg, A., Ing, A., Moser, D. A., Doucet, G. E., Artiges, E., Banaschewski, T., Barker, G. J., Becker, A., Bokde, A. L. W., Quinlan, E. B., Desrivières, S., Flor, H., Fröhner, J. H., Garavan, H., Gowland, P., Grigis, A., Grimmer, Y., Heinz, A., Insensee, C., Ittermann, B., Martinot, J. L., Martinot, M. P., Millenet, S., Nees, F., Orfanos, D. P., Paus, T., Penttilä, J., Poustka, L., Smolka, M. N., Stringaris, A., van Noort, B. M., Walter, H., Whelan, R., Schumann, G., Frangou, S. (2021). Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study. Molecular psychiatry, 26(9), 4905-4918. https://doi.org/10.1038/s41380-020-0757-x
Modabbernia, Amirhossein, et al. "Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study." Molecular psychiatry vol. 26,9 (2021): 4905-4918. doi: https://doi.org/10.1038/s41380-020-0757-x
Modabbernia A, Reichenberg A, Ing A, Moser DA, Doucet GE, Artiges E, Banaschewski T, Barker GJ, Becker A, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Fröhner JH, Garavan H, Gowland P, Grigis A, Grimmer Y, Heinz A, Insensee C, Ittermann B, Martinot JL, Martinot MP, Millenet S, Nees F, Orfanos DP, Paus T, Penttilä J, Poustka L, Smolka MN, Stringaris A, van Noort BM, Walter H, Whelan R, Schumann G, Frangou S. Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study. Mol Psychiatry. 2021 Sep;26(9):4905-4918. doi: 10.1038/s41380-020-0757-x. Epub 2020 May 22. PMID: 32444868; PMCID: PMC7981783.
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Similarity and stability of face network across populations and throughout adolescence and adulthood.

NeuroImage

Liao Z, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Paus T.
PMID: 34560271
Neuroimage. 2021 Dec 01;244:118587. doi: 10.1016/j.neuroimage.2021.118587. Epub 2021 Sep 21.

The ability to extract cues from faces is fundamental for social animals, including humans. An individual's profile of functional connectivity across a face network can be shaped by common organizing principles, stable individual traits, and time-varying mental states. In...

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Liao Z, Banaschewski T, Bokde ALW, et al. Similarity and stability of face network across populations and throughout adolescence and adulthood. Neuroimage. 2021;244:118587doi: 10.1016/j.neuroimage.2021.118587.
Liao, Z., Banaschewski, T., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J. L., Martinot, M. P., Artiges, E., Nees, F., Orfanos, D. P., Poustka, L., Hohmann, S., Millenet, S., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Schumann, G., Paus, T. (2021). Similarity and stability of face network across populations and throughout adolescence and adulthood. NeuroImage, 244118587. https://doi.org/10.1016/j.neuroimage.2021.118587
Liao, Zhijie, et al. "Similarity and stability of face network across populations and throughout adolescence and adulthood." NeuroImage vol. 244 (2021): 118587. doi: https://doi.org/10.1016/j.neuroimage.2021.118587
Liao Z, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Paus T. Similarity and stability of face network across populations and throughout adolescence and adulthood. Neuroimage. 2021 Dec 01;244:118587. doi: 10.1016/j.neuroimage.2021.118587. Epub 2021 Sep 21. PMID: 34560271.
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The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses.

Frontiers in neuroscience

Bossier H, Seurinck R, Kühn S, Banaschewski T, Barker GJ, Bokde ALW, Martinot JL, Lemaitre H, Paus T, Millenet S, Moerkerke B.
PMID: 29403344
Front Neurosci. 2018 Jan 18;11:745. doi: 10.3389/fnins.2017.00745. eCollection 2017.

Given the increasing amount of neuroimaging studies, there is a growing need to summarize published results. Coordinate-based meta-analyses use the locations of statistically significant local maxima with possibly the associated effect sizes to aggregate studies. In this paper, we...

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Bossier H, Seurinck R, Kühn S, et al. The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses. Front Neurosci. 2018;11:745doi: 10.3389/fnins.2017.00745.
Bossier, H., Seurinck, R., Kühn, S., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Martinot, J. L., Lemaitre, H., Paus, T., Millenet, S., & Moerkerke, B. (2017). The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses. Frontiers in neuroscience, 11745. https://doi.org/10.3389/fnins.2017.00745
Bossier, Han, et al. "The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses." Frontiers in neuroscience vol. 11 (2017): 745. doi: https://doi.org/10.3389/fnins.2017.00745
Bossier H, Seurinck R, Kühn S, Banaschewski T, Barker GJ, Bokde ALW, Martinot JL, Lemaitre H, Paus T, Millenet S, Moerkerke B. The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses. Front Neurosci. 2018 Jan 18;11:745. doi: 10.3389/fnins.2017.00745. eCollection 2017. PMID: 29403344; PMCID: PMC5778144.
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Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence.

Cerebral cortex (New York, N.Y. : 1991)

Wang H, Fan L, Song M, Liu B, Wu D, Jiang R, Li J, Li A, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Chaarani B, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Jiang T.
PMID: 33386409
Cereb Cortex. 2021 Mar 31;31(5):2686-2700. doi: 10.1093/cercor/bhaa383.

Derailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the...

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Wang H, Fan L, Song M, et al. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cereb Cortex. 2021;31(5):2686-2700doi: 10.1093/cercor/bhaa383.
Wang, H., Fan, L., Song, M., Liu, B., Wu, D., Jiang, R., Li, J., Li, A., Banaschewski, T., Bokde, A. L. W., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Chaarani, B., Gowland, P., Heinz, A., Ittermann, B., Martinot, J. L., Martinot, M. P., Artiges, E., Nees, F., Orfanos, D. P., Poustka, L., Millenet, S., Fröhner, J. H., Smolka, M. N., Walter, H., Whelan, R., Schumann, G., & Jiang, T. (2021). Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cerebral cortex (New York, N.Y. : 1991), 31(5), 2686-2700. https://doi.org/10.1093/cercor/bhaa383
Wang, Haiyan, et al. "Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence." Cerebral cortex (New York, N.Y. : 1991) vol. 31,5 (2021): 2686-2700. doi: https://doi.org/10.1093/cercor/bhaa383
Wang H, Fan L, Song M, Liu B, Wu D, Jiang R, Li J, Li A, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Chaarani B, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Jiang T. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cereb Cortex. 2021 Mar 31;31(5):2686-2700. doi: 10.1093/cercor/bhaa383. PMID: 33386409; PMCID: PMC8599716.
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Characterizing reward system neural trajectories from adolescence to young adulthood.

Developmental cognitive neuroscience

Cao Z, Ottino-Gonzalez J, Cupertino RB, Juliano A, Chaarani B, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Robinson L, Smolka MN, Walter H, Winterer J, Schumann G, Whelan R, Mackey S, Garavan H.
PMID: 34894615
Dev Cogn Neurosci. 2021 Dec;52:101042. doi: 10.1016/j.dcn.2021.101042. Epub 2021 Dec 02.

Mixed findings exist in studies comparing brain responses to reward in adolescents and adults. Here we examined the trajectories of brain response, functional connectivity and task-modulated network properties during reward processing with a large-sample longitudinal design. Participants from the...

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Cao Z, Ottino-Gonzalez J, Cupertino RB, et al. Characterizing reward system neural trajectories from adolescence to young adulthood. Dev Cogn Neurosci. 2021;52:101042doi: 10.1016/j.dcn.2021.101042.
Cao, Z., Ottino-Gonzalez, J., Cupertino, R. B., Juliano, A., Chaarani, B., Banaschewski, T., Bokde, A. L. W., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., Brühl, R., Martinot, J. L., Martinot, M. P., Artiges, E., Nees, F., Orfanos, D. P., Paus, T., Poustka, L., Hohmann, S., Millenet, S., Fröhner, J. H., Robinson, L., Smolka, M. N., Walter, H., Winterer, J., Schumann, G., Whelan, R., Mackey, S., Garavan, H. (2021). Characterizing reward system neural trajectories from adolescence to young adulthood. Developmental cognitive neuroscience, 52101042. https://doi.org/10.1016/j.dcn.2021.101042
Cao, Zhipeng, et al. "Characterizing reward system neural trajectories from adolescence to young adulthood." Developmental cognitive neuroscience vol. 52 (2021): 101042. doi: https://doi.org/10.1016/j.dcn.2021.101042
Cao Z, Ottino-Gonzalez J, Cupertino RB, Juliano A, Chaarani B, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MP, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner JH, Robinson L, Smolka MN, Walter H, Winterer J, Schumann G, Whelan R, Mackey S, Garavan H. Characterizing reward system neural trajectories from adolescence to young adulthood. Dev Cogn Neurosci. 2021 Dec;52:101042. doi: 10.1016/j.dcn.2021.101042. Epub 2021 Dec 02. PMID: 34894615; PMCID: PMC8668439.
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