Sulcal pits and patterns in developing human brains
Im, Kiho, and Ellen Grant. 2019. “Sulcal Pits and Patterns in Developing Human Brains”. Neuroimage 185: 881-90.
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Can cerebellar and brainstem apparent diffusion coefficient (ADC) values predict neuromotor outcome in term neonates with hypoxic-ischemic encephalopathy (HIE) treated with hypothermia?
Arca-Díaz, Gemma, Thomas Re, Marie Drottar, Carmen Rosa Fortuno, Katyucia De Macedo-Rodrigues, Kiho Im, Josep Figueras-Aloy, and Patricia Ellen Grant. 2017. “Can Cerebellar and Brainstem Apparent Diffusion Coefficient (ADC) Values Predict Neuromotor Outcome in Term Neonates With Hypoxic-Ischemic Encephalopathy (HIE) Treated With Hypothermia?”. PLoS One 12 (7): e0178510.
Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex.
Ahtam, Banu, Hyuk Jin Yun, Rutvi Vyas, Rudolph Pienaar, Josephine H Wilson, Caroline P Goswami, Laura F Berto, et al. 2023. “Morphological Features of Language Regions in Individuals With Tuberous Sclerosis Complex.”. Journal of Autism and Developmental Disorders.
Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly.
Tarui, Tomo, Neel Madan, George Graham, Rie Kitano, Shizuko Akiyama, Emiko Takeoka, Sophie Reid, et al. 2023. “Comprehensive Quantitative Analyses of Fetal Magnetic Resonance Imaging in Isolated Cerebral Ventriculomegaly.”. NeuroImage. Clinical 37: 103357.
Association of genetic and sulcal traits with executive function in congenital heart disease.
Maleyeff, Lara, Jane W Newburger, David Wypij, Nina H Thomas, Evdokia Anagnoustou, Martina Brueckner, Wendy K Chung, et al. 2024. “Association of Genetic and Sulcal Traits With Executive Function in Congenital Heart Disease.”. Annals of Clinical and Translational Neurology 11 (2): 278-90.
Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development
Vasung, Lana, Chenying Zhao, Matthew Barkovich, Caitlin Rollins, Jennings Zhang, Claude Lepage, Teddy Corcoran, et al. 2021. “Association Between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression During Human Prenatal Brain Development”. Cereb Cortex 31 (8): 3610-21.
The role of cortical structural variance in deep learning-based prediction of fetal brain age.
Kwon, Hyeokjin, Sungmin You, Hyuk Jin Yun, Seungyoon Jeong, Anette Paulina De León Barba, Marisol Elizabeth Lemus Aguilar, Pablo Jaquez Vergara, et al. 2024. “The Role of Cortical Structural Variance in Deep Learning-Based Prediction of Fetal Brain Age.”. Frontiers in Neuroscience 18: 1411334.
Brain charts for the human lifespan.
Bethlehem, R A I, J Seidlitz, S R White, J W Vogel, K M Anderson, C Adamson, S Adler, et al. 2022. “Brain Charts for the Human Lifespan.”. Nature 604 (7906): 525-33.