Konrad Wagstyl
Konrad Wagstyl
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Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome
KJ Whitaker, PE Vértes, R Romero-Garcia, F Váša, M Moutoussis, ...
Proceedings of the National Academy of Sciences 113 (32), 9105-9110, 2016
Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation
J Seidlitz, F Váša, M Shinn, R Romero-Garcia, KJ Whitaker, PE Vértes, ...
Neuron 97 (1), 231-247. e7, 2018
Microstructural and functional gradients are increasingly dissociated in transmodal cortices
C Paquola, R Vos De Wael, K Wagstyl, RAI Bethlehem, SJ Hong, ...
PLoS biology 17 (5), e3000284, 2019
Obesity associated with increased brain age from midlife
L Ronan, AF Alexander-Bloch, K Wagstyl, S Farooqi, C Brayne, LK Tyler, ...
Neurobiology of aging 47, 63-70, 2016
Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks
PE Vértes, T Rittman, KJ Whitaker, R Romero-Garcia, F Váša, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 371 …, 2016
Cortical thickness gradients in structural hierarchies
K Wagstyl, L Ronan, IM Goodyer, PC Fletcher
Neuroimage 111, 241-250, 2015
Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy
S Adler, K Wagstyl, R Gunny, L Ronan, D Carmichael, JH Cross, ...
NeuroImage: Clinical 14, 18-27, 2017
Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
J Seidlitz, A Nadig, S Liu, RAI Bethlehem, PE Vértes, SE Morgan, F Váša, ...
Nature communications 11 (1), 1-14, 2020
Automated detection of focal cortical dysplasia type II with surface‐based magnetic resonance imaging postprocessing and machine learning
B Jin, B Krishnan, S Adler, K Wagstyl, W Hu, S Jones, I Najm, ...
Epilepsia 59 (5), 982-992, 2018
Mapping cortical laminar structure in the 3D BigBrain
K Wagstyl, C Lepage, S Bludau, K Zilles, PC Fletcher, K Amunts, ...
Cerebral cortex 28 (7), 2551-2562, 2018
Shifts in myeloarchitecture characterise adolescent development of cortical gradients
C Paquola, RAI Bethlehem, J Seidlitz, K Wagstyl, R Romero-Garcia, ...
elife 8, e50482, 2019
BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices
K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ...
PLoS biology 18 (4), e3000678, 2020
Brain charts for the human lifespan
RAI Bethlehem, J Seidlitz, SR White, JW Vogel, KM Anderson, ...
Nature 604 (7906), 525-533, 2022
Multiple markers of cortical morphology reveal evidence of supragranular thinning in schizophrenia
K Wagstyl, L Ronan, KJ Whitaker, IM Goodyer, N Roberts, TJ Crow, ...
Translational Psychiatry 6 (4), e780-e780, 2016
LayNii: A software suite for layer-fMRI
LR Huber, BA Poser, PA Bandettini, K Arora, K Wagstyl, S Cho, J Goense, ...
NeuroImage 237, 118091, 2021
Quantitative in vivo MRI assessment of structural asymmetries and sexual dimorphism of transient fetal compartments in the human brain
L Vasung, CK Rollins, HJ Yun, C Velasco-Annis, J Zhang, K Wagstyl, ...
Cerebral Cortex 30 (3), 1752-1767, 2020
The natural axis of transmitter receptor distribution in the human cerebral cortex
A Goulas, JP Changeux, K Wagstyl, K Amunts, N Palomero-Gallagher, ...
Proceedings of the National Academy of Sciences 118 (3), e2020574118, 2021
Cortical thickness
K Wagstyl, JP Lerch
Brain morphometry, 35-49, 2018
Convolutional neural networks for mesh-based parcellation of the cerebral cortex
G Cucurull, K Wagstyl, A Casanova, P Veličković, E Jakobsen, ...
Consortium N, Raznahan A, Bullmore ET. Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation
J Seidlitz, F Váša, M Shinn, R Romero‑Garcia, KJ Whitaker, PE Vertes, ...
Neuron 97 (1), 231-47, 2018
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