LM Wierenga
LM Wierenga
PhD
Verified email at fsw.leidenuniv.nl
Title
Cited by
Cited by
Year
Unique developmental trajectories of cortical thickness and surface area
LM Wierenga, M Langen, B Oranje, S Durston
Neuroimage 87, 120-126, 2014
2742014
Typical development of basal ganglia, hippocampus, amygdala and cerebellum from age 7 to 24
L Wierenga, M Langen, S Ambrosino, S van Dijk, B Oranje, S Durston
Neuroimage 96, 67-72, 2014
1582014
Unraveling age, puberty and testosterone effects on subcortical brain development across adolescence
LM Wierenga, MGN Bos, E Schreuders, F vd Kamp, JS Peper, ...
Psychoneuroendocrinology 91, 105-114, 2018
552018
The development of brain network architecture
LM Wierenga, MP van den Heuvel, S Van Dijk, Y Rijks, MA de Reus, ...
Human Brain Mapping 37 (2), 717-729, 2016
552016
A key characteristic of sex differences in the developing brain: Greater variability in brain structure of boys than girls
LM Wierenga, JA Sexton, P Laake, JN Giedd, CK Tamnes, ...
Cerebral cortex 28 (8), 2741-2751, 2018
422018
Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data
ET Klapwijk, F Van De Kamp, M Van Der Meulen, S Peters, LM Wierenga
NeuroImage 189, 116-129, 2019
272019
Development of cortical thickness and surface area in autism spectrum disorder
VT Mensen, LM Wierenga, S van Dijk, Y Rijks, B Oranje, RCW Mandl, ...
NeuroImage: Clinical 13, 215-222, 2017
262017
What can cortical development in attention-deficit/hyperactivity disorder teach us about the early developmental mechanisms involved?
S Ambrosino, P De Zeeuw, LM Wierenga, S van Dijk, S Durston
Cerebral Cortex 27 (9), 4624-4634, 2017
172017
Brain development in adolescents at ultra-high risk for psychosis: Longitudinal changes related to resilience
S de Wit, LM Wierenga, B Oranje, TB Ziermans, PF Schothorst, ...
NeuroImage: Clinical 12, 542-549, 2016
132016
A multisample study of longitudinal changes in brain network architecture in 4–13‐year‐old children
LM Wierenga, MP van den Heuvel, B Oranje, JN Giedd, S Durston, ...
Human brain mapping 39 (1), 157-170, 2018
122018
Pediatric Imaging Neurocognition and Genetics Study (2017). A key characteristic of sex differences in the developing brain: greater variability in brain structure of boys than …
LM Wierenga, JA Sexton, P Laake, JN Giedd, CK Tamnes
Cereb. Cortex 28, 2741-2751, 0
11
Pregnancy and adolescence entail similar neuroanatomical adaptations: a comparative analysis of cerebral morphometric changes
S Carmona, M Martínez‐García, M Paternina‐Die, E Barba‐Müller, ...
Human brain mapping 40 (7), 2143-2152, 2019
102019
Sex effects on development of brain structure and executive functions: greater variance than mean effects
LM Wierenga, MGN Bos, F van Rossenberg, EA Crone
Journal of cognitive neuroscience 31 (5), 730-753, 2019
92019
A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐and puberty‐related changes
ACK van Duijvenvoorde, B Westhoff, F de Vos, LM Wierenga, EA Crone
Human brain mapping 40 (13), 3769-3783, 2019
72019
Longitudinal structural brain development and externalizing behavior in adolescence
MGN Bos, LM Wierenga, NE Blankenstein, E Schreuders, CK Tamnes, ...
Journal of child psychology and psychiatry 59 (10), 1061-1072, 2018
62018
Greater male than female variability in regional brain structure across the lifespan
LM Wierenga, GE Doucet, D Dima, I Agartz, M Aghajani, TN Akudjedu, ...
BioRxiv, 2020
22020
Genetic and environmental influences on structure of the social brain in childhood
M van der Meulen, LM Wierenga, M Achterberg, N Drenth, ...
Developmental Cognitive Neuroscience, 100782, 2020
12020
Subcortical Volume Trajectories across the Lifespan: Data from 18,605 healthy individuals aged 3-90 years
D Dima, E Papachristou, A Modabbernia, GE Doucet, I Agartz, M Aghajani, ...
bioRxiv, 2020
12020
Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years
S Frangou, A Modabbernia, GE Doucet, E Papachristou, SCR Williams, ...
bioRxiv, 2020
12020
Qoala-T: A supervised-learning tool for quality control of automatic segmented MRI data
ET Klapwijk, F van de Kamp, M van der Meulen, S Peters, LM Wierenga
bioRxiv, 278358, 2018
12018
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