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Jiska S. Peper
Leiden University
EndocrinologyDevelopmental psychologyPsychologyWhite matterTestosterone
53Publications
32H-index
3,091Citations
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Publications 53
Newest
#1Martijn P. van den Heuvel (UU: Utrecht University)H-Index: 11
#2Lianne H. Scholtens (UU: Utrecht University)H-Index: 14
Last. Siemon C. de Lange (UU: Utrecht University)H-Index: 7
view all 114 authors...
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
1 CitationsSource
#1Susanna Carmona (Open University of Catalonia)H-Index: 15
Last. Elseline Hoekzema (LEI: Leiden University)H-Index: 14
view all 22 authors...
Mapping the impact of pregnancy on the human brain is essential for understanding the neurobiology of maternal caregiving. Recently, we found that pregnancy leads to a long-lasting reduction in cerebral gray matter volume. However, the morphometric features behind the volumetric reductions remain unexplored. Furthermore, the similarity between these reductions and those occurring during adolescence, another hormonally similar transitional period of life, still needs to be investigated. Here, we ...
2 CitationsSource
#1Anne Lise Goddings (UCL: University College London)H-Index: 1
#2Adriene M. Beltz (UM: University of Michigan)H-Index: 16
Last. Barbara R. Braams (Harvard University)H-Index: 16
view all 5 authors...
Over the past two decades, there has been a tremendous increase in our understanding of structural and functional brain development in adolescence. However, understanding the role of puberty in this process has received much less attention. This review examines this relationship by summarizing recent research studies where the role of puberty was investigated in relation to brain structure, connectivity, and task-related functional magnetic resonance imaging (fMRI). The studies together suggest ...
13 CitationsSource
#1Martijn P. van den Heuvel (UU: Utrecht University)H-Index: 11
#2Lianne H. Scholtens (UU: Utrecht University)H-Index: 14
Last. Siemon C. de Lange (VU: VU University Amsterdam)H-Index: 7
view all 115 authors...
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
1 CitationsSource
#1Jiska S. Peper (LEI: Leiden University)H-Index: 32
#2Barbara R. Braams (Harvard University)H-Index: 16
Last. Eveline A. Crone (LEI: Leiden University)H-Index: 58
view all 5 authors...
Risk taking is a multidimensional construct. It is currently unclear which aspects of risk-taking change most during adolescence and if/how sex hormones contribute to risk-taking tendencies. This study applied a longitudinal design with three time-points, separated by 2 years, in participants aged 8–29 years (670 observations). The Balloon Analogue Risk Task, a delay discounting task, and various self-report questionnaires were administered, to measure aspects of risk taking. Longitudinal analys...
7 CitationsSource
#1Neeltje E. Blankenstein (LEI: Leiden University)H-Index: 5
#2Elisabeth Schreuders (LEI: Leiden University)H-Index: 4
Last. A.C.K. van Duijvenvoorde (LEI: Leiden University)H-Index: 3
view all 5 authors...
Abstract Although many neuroimaging studies have investigated adolescent risk taking, few studies have dissociated between decision-making under risk (known probabilities) and ambiguity (unknown probabilities). Furthermore, which brain regions are sensitive to individual differences in task-related and self-reported risk taking remains elusive. We presented 198 adolescents (11–24 years, an age-range in which individual differences in risk taking are prominent) with an fMRI paradigm that separate...
9 CitationsSource
#1Lara M. Wierenga (LEI: Leiden University)H-Index: 9
#2Marieke G.N. Bos (LEI: Leiden University)H-Index: 12
Last. Eveline A. Crone (LEI: Leiden University)H-Index: 58
view all 7 authors...
Abstract The onset of adolescence in humans is marked by hormonal changes that give rise to secondary sexual characteristics, noted as puberty. It has, however, proven challenging to unravel to what extent pubertal changes may have organizing effects on the brain beyond chronological age, as reported in animal studies. The present longitudinal study aimed to characterize the unique effects of age and puberty on subcortical brain volumes and included three waves of data collection at two-year int...
22 CitationsSource
#1Elisabeth Schreuders (LEI: Leiden University)H-Index: 4
#2Barbara R. Braams (Harvard University)H-Index: 16
Last. Eveline A. Crone (LEI: Leiden University)H-Index: 58
view all 6 authors...
It was examined how ventral striatum responses to rewards develop across adolescence and early adulthood and how individual differences in state- and trait-level reward sensitivity are related to these changes. Participants (aged 8–29 years) were tested across three waves separated by 2 years (693 functional MRI scans) in an accelerated longitudinal design. The results confirmed an adolescent peak in reward-related ventral striatum, specifically nucleus accumbens, activity. In early to mid-adole...
19 CitationsSource
#1Lara M. Wierenga (LEI: Leiden University)H-Index: 9
Last. Eveline A. Crone (LEI: Leiden University)H-Index: 58
view all 8 authors...
Recent advances in human neuroimaging research have revealed that white-matter connectivity can be described in terms of an integrated network, which is the basis of the human connectome. However, the developmental changes of this connectome in childhood are not well understood. This study made use of two independent longitudinal diffusion-weighted imaging data sets to characterize developmental changes in the connectome by estimating age-related changes in fractional anisotropy (FA) for reconst...
9 CitationsSource
#1Neeltje E. Blankenstein (LEI: Leiden University)H-Index: 5
#2Jiska S. Peper (LEI: Leiden University)H-Index: 32
Last. Anna C. K. van Duijvenvoorde (LEI: Leiden University)H-Index: 19
view all 4 authors...
Individual differences in attitudes to risk (a taste for risk, known probabilities) and ambiguity (a tolerance for uncertainty, unknown probabilities) differentially influence risky decision-making. However, it is not well understood whether risk and ambiguity are coded differently within individuals. Here, we tested whether individual differences in risk and ambiguity attitudes were reflected in distinct neural correlates during choice and outcome processing of risky and ambiguous gambles. To t...
7 CitationsSource
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