A Structural MRI Study of Human Brain Development from Birth to 2 Years

User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability.

Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868

Brain development during childhood and adolescence: a longitudinal MRI study

Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552

The cerebellar cognitive affective syndrome

Schmahmann, J. (1998) · Brain · doi:10.1093/brain/121.4.561 · Cited by 3,230

Synaptic density in human frontal cortex —Developmental changes and effects of aging

Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645

Brain development in children and adolescents: Insights from anatomical magnetic resonance imaging

Lenroot, R. K., & Giedd, J. N. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2006.06.001 · Cited by 1,863

Untitled work

(1967) · Medical Entomology and Zoology · Cited by 1,713

Unusual brain growth patterns in early life in patients with autistic disorder: An MRI study

Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., Chisum, H. J., Moses, P., Pierce, K., Lord, C., et al. (2001) · Neurology · doi:10.1212/wnl.57.2.245 · Cited by 1,487

Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children

Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481

A Quantitative Magnetic Resonance Imaging Study of Changes in Brain Morphology From Infancy to Late Adulthood

Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363

Schizophrenia as a Disorder of Neurodevelopment

Lewis, D. A., & Levitt, P. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142754 · Cited by 1,163

The intrahemispheric functional properties of the developing sensorimotor cortex are influenced by maturation

Berchicci, M., Tamburro, G., & Comani, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00039 · Cited by 26

Biochemical Changes Indicate Developmental Stage in the Hippocampal Formation

Chwiej, J. G., Ciesielka, S. W., Dróźdż, A., Janeczko, K. J., Sandt, C., Planeta, K., & Setkowicz, Z. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00471 · Cited by 23

Resting state functional networks in 1-to-3-year-old typically developing children

Chen, B., Linke, A. C., Olson, L., Ibarra, C., Kinnear, M., & Fishman, I. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100991 · Cited by 25

Music impacts brain cortical microstructural maturation in very preterm infants: A longitudinal diffusion MR imaging study

de Almeida, J. S., Baud, O., Fau, S., Munoz, F. B., Courvoisier, S., Lordier, L., Lazeyras, F., & Hüppi, P. S. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101254 · Cited by 24

Critical Windows: Exploring the Association Between Perinatal Trauma, Epigenetics, and Chronic Pain

Kodila, Z. N., Shultz, S. R., Yamakawa, G. R., & Mychasiuk, R. (2023) · The Neuroscientist · doi:10.1177/10738584231176233 · Cited by 24

Comparison of Structural Magnetic Resonance Imaging and Development in Toddlers Born Very Low Birth Weight and Full-term

Lowe, J. R., Duvall, S. W., MacLean, P. C., Caprihan, A., Ohls, R. K., Qualls, C., & Phillips, J. (2011) · Journal of Child Neurology · doi:10.1177/0883073810388418 · Cited by 24

Longitudinal cerebellar growth following very preterm birth

Lee, W., Al‐Dossary, H., Raybaud, C., Young, J. M., Morgan, B. R., Whyte, H. E. A., Sled, J. G., Taylor, M. J., & Shroff, M. M. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25098 · Cited by 25

Association of Regional Cranial Base Deformity and Ultimate Structure in Crouzon Syndrome

Lu, X., Forte, A. J., Sawh-Martinez, R. F., Wu, R. T., Cabrejo, R. G., Steinbacher, D. M., Alperovich, M. A., Alonso, N., & Persing, J. A. (2019) · Plastic & Reconstructive Surgery · doi:10.1097/prs.0000000000005643 · Cited by 23

Infant brain responses to live face-to-face interaction with their mothers: Combining functional near-infrared spectroscopy (fNIRS) with a modified still-face paradigm

Behrendt, H. F., Konrad, K., Perdue, K. L., & Firk, C. (2020) · Infant Behavior and Development · doi:10.1016/j.infbeh.2019.101410 · Cited by 24

Functional development of the human cerebellum from birth to age five

Lyu, W., Thung, K., Huynh, K. M., Wang, L., Lin, W., Ahmad, S., & Yap, P. (2025) · Nature Communications · doi:10.1038/s41467-025-61465-y · Cited by 22

Altered Brain Structure in Infants with Turner Syndrome

Davenport, M. L., Cornea, E. A., Xia, K., Crowley, J. J., Halvorsen, M., Goldman, B. D., Reinhartsen, D. B., DeRamus, M., Pretzel, R. E., Styner, M. A., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz109 · Cited by 22

A Feature-Based Developmental Model of the Infant Brain in Structural MRI

Toews, M., Wells, W. M., & Zöllei, L. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33418-4_26 · Cited by 22

Learning‐based deformable image registration for infant MR images in the first year of life

Hu, S., Wei, L., Gao, Y., Guo, Y., Guorong Wu, A., & Shen, D. G. (2017) · Medical Physics · doi:10.1002/mp.12007 · Cited by 22

Leveraging translational neuroscience to inform early intervention and addiction prevention for children exposed to early life stress

Roos, L. E., Horn, S. R. G.-V., Berkman, E. T., Pears, K. C., & Fisher, P. A. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.10.004 · Cited by 24

Development of Dynamic Functional Architecture during Early Infancy

Wen, X., Wang, R., Yin, W., Lin, W., Zhang, H., & Shen, D. G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa128 · Cited by 26

Newborn differential DNA methylation and subcortical brain volumes as early signs of severe neurodevelopmental delay in a South African Birth Cohort Study

Hüls, A., Wedderburn, C. J., Groenewold, N. A., Gladish, N., Jones, M. J., Koen, N., MacIsaac, J. L., Lin, D. T. S., Ramadori, K. E., Epstein, M. P., et al. (2021) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2021.2016955 · Cited by 22

Learning‐based deformable registration for infant MRI by integrating random forest with auto‐context model

Wei, L., Cao, X., Wang, Z., Gao, Y., Hu, S., Wang, L., Guorong Wu, A., & Shen, D. G. (2017) · Medical Physics · doi:10.1002/mp.12578 · Cited by 21

Maternal caregiving ameliorates the consequences of prenatal maternal psychological distress on child development

Grande, L. A., Swales, D. A., Sandman, C. A., Glynn, L. M., & Davis, E. P. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000286 · Cited by 23

Is fetal MRI ready for neuroimaging prime time? An examination of progress and remaining areas for development

Rajagopalan, V., Deoni, S., Panigrahy, A., & Thomason, M. E. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100999 · Cited by 22

Maternal pre-pregnancy BMI associates with neonate local and distal functional connectivity of the left superior frontal gyrus

Rajasilta, O., Häkkinen, S., Björnsdotter, M., Scheinin, N. M., Lehtola, S. J., Saunavaara, J. P., Parkkola, R. K., Lähdesmäki, T., Karlsson, L., Karlsson, H., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-98574-9 · Cited by 24

Sex differences in resting state functional connectivity across the first two years of life

Fenske, S. J., Liu, J., Chen, H., Diniz, M. A., Stephens, R. L., Cornea, E. A., Gilmore, J. H., & Gao, W. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101235 · Cited by 22

Masculinity/Femininity Predicts Brain Volumes in Normal Healthy Children

Belfi, A. M., Conrad, A. L., Dawson, J. D., & Nopoulos, P. (2014) · Developmental Neuropsychology · doi:10.1080/87565641.2013.839681 · Cited by 25

Twin-Singleton Differences in Neonatal Brain Structure

Knickmeyer, R. C., Kang, C., Woolson, S., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., Styner, M. A., & Gilmore, J. H. (2011) · Twin Research and Human Genetics · doi:10.1375/twin.14.3.268 · Cited by 21

Automated Segmentation of Head Computed Tomography Images Using FSL

Cauley, K. A., Och, J., Yorks, P. J., & Fielden, S. W. (2017) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000000660 · Cited by 21

A systematic review of cross-sectional differences and longitudinal changes to the morphometry of the brain following paediatric traumatic brain injury

Griffiths-King, D. J., Ellis, K. R., Seri, S., & WOOD, A. G. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101844 · Cited by 21

Cerebral desaturation during neonatal congenital heart surgery is associated with perioperative brain structure alterations but not with neurodevelopmental outcome at 1 year

Silvestro, A. D., Krüger, B. D., Steger, C., Feldmann, M., Payette, K., Krüger, J., Kottke, R., Hagmann, C. F., Bosshart, M., Bürki, C., et al. (2022) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezac138 · Cited by 20

Subcortical brain volumes in neonatal hypoxic–ischemic encephalopathy

Kebaya, L., Kapoor, B., Mayorga, P. C., Meyerink, P., Foglton, K., Altamimi, T., Nichols, E. S., de Ribaupierre, S., Bhattacharya, S., Tristao, L., et al. (2023) · Pediatric Research · doi:10.1038/s41390-023-02695-y · Cited by 20

Phenotypic and Genetic Associations Between Preschool Fine Motor Skills and Later Neurodevelopment, Psychopathology, and Educational Achievement

Bowler, A., Arichi, T., Fearon, P. R. M., Meaburn, E. L., Ali, J. B., Pasco, G., Johnson, M. H., Jones, E. J. H., & Ronald, A. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.11.017 · Cited by 20

Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure

Csapo, I., Davis, B. C., Shi, Y., Sánchez, M. M., Styner, M. A., & Niethammer, M. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2269814 · Cited by 20

Reprint of: Mapping connectivity in the developing brain

Dennis, E. L., & Thompson, P. M. (2013) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2013.11.005 · Cited by 21

Normal Cerebellar Development by Qualitative and Quantitative MR Imaging

Brossard‐Racine, M., & Limperopoulos, C. (2016) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2016.03.004 · Cited by 20

Protolanguage and mechanisms of meaning construal in interaction

Pleyer, M. (2017) · Language Sciences · doi:10.1016/j.langsci.2017.01.003 · Cited by 21

Prenatal and early postnatal measures of brain development and childhood sleep patterns

Kocevska, D., Verhoeff, M. E., Meinderts, S., Jaddoe, V. W. V., Verhulst, F. C., Roza, S. J., Luijk, M. P. C. M., & Tiemeier, H. W. (2017) · Pediatric Research · doi:10.1038/pr.2017.318 · Cited by 20

How Prediction Based on Sequence Detection in the Cerebellum Led to the Origins of Stone Tools, Language, and Culture and, Thereby, to the Rise of Homo sapiens

Vandervert, L. R. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00408 · Cited by 20

Resting‐state networks of the neonate brain identified using independent component analysis

Rajasilta, O., Tuulari, J. J., Björnsdotter, M., Scheinin, N. M., Lehtola, S. J., Saunavaara, J. P., Häkkinen, S., Merisaari, H., Parkkola, R. K., Lähdesmäki, T., et al. (2020) · Developmental Neurobiology · doi:10.1002/dneu.22742 · Cited by 24

Do fitter kids have bigger brains?

Cadenas‐Sánchez, C., Migueles, J. H., Erickson, K. I., Esteban‐Cornejo, I., Catena, A., & Ortega, F. B. (2020) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.13824 · Cited by 20

Age-related changes in tissue signal properties within cortical areas important for word understanding in 12- to 19-month-old infants

Travis, K. E., Curran, M. M., Torres, C., Leonard, M. K., Brown, T. T., Dale, A. M., Elman, J. L., & Halgren, E. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht052 · Cited by 19

A Systematic Review of Neurodevelopmental Assessments in Infancy and Early Childhood: Developing a Conceptual Framework, Repository of Measures, and Clinical Recommendations

Bondi, B. C., Tassone, V. K., Bucsea, O., Desrocher, M. E., & Pepler, D. J. (2024) · Neuropsychology Review · doi:10.1007/s11065-024-09641-7 · Cited by 26

Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development

Turesky, T. K., Escalante, E. S., Loh, M., & Gaab, N. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414598122 · Cited by 23

Strengths and challenges of longitudinal non-human primate neuroimaging

Song, X., García-Saldivar, P., Kindred, N., Wang, Y., Merchant, H., Meguerditchian, A., Yang, Y., Stein, E. A., Bradberry, C. W., Hamed, S. B., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118009 · Cited by 20

The development of the gut microbiome and temperament during infancy and early childhood: A systematic review

Alving‐Jessep, E., Botchway-Commey, E. N., WOOD, A. G., Hilton, A. C., & Blissett, J. M. (2022) · Developmental Psychobiology · doi:10.1002/dev.22306 · Cited by 21

Babies, bugs and brains: How the early microbiome associates with infant brain and behavior development

Hunter, S., Flaten, E., Petersen, C., Gervain, J., Werker, J. F., Trainor, L. J., & Finlay, B. B. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288689 · Cited by 21

Physiologically Based Pharmacokinetics Modeling in the Neonatal Population—Current Advances, Challenges, and Opportunities

Dinh, J., Johnson, T. N., Grimstein, M., & Lewis, T. R. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15112579 · Cited by 19

An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI

Calabrese, E., Johnson, G. A., & WATSON, C. R. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.037 · Cited by 19

On the emergence of autism: neuroimaging findings from birth to preschool

Wolff, J. J., & Piven, J. (2013) · Neuropsychiatry · doi:10.2217/npy.13.11 · Cited by 19

Early Developmental Trajectories of Functional Connectivity Along the Visual Pathways in Rhesus Monkeys

Kovacs-Balint, Z., Feczko, E., Pincus, M., Earl, E., Miranda-Domínguez, Ó., Howell, B., Morin, E. L., Maltbie, E. A., Li, L., Steele, J., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy222 · Cited by 19

Neurodevelopmental findings in children 20‐30 months of age with postnatal Zika infection at 1‐12 months of age, Colombia, September‐November 2017

Pacheco, Ó., Newton, S. M., Daza, M., Cates, J., Reales, J. A. M., Burkel, V. K., Mercado, M., Godfred‐Cato, S., González, M., Anderson, K. N., et al. (2020) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12690 · Cited by 19

Subdural Hemorrhage in Asymptomatic Neonates: Neurodevelopmental Outcomes and MRI Findings at 2 Years

Zamora, C. A., Sams, C. M., Cornea, E. A., Yuan, Z., Smith, J. K., & Gilmore, J. H. (2020) · Radiology · doi:10.1148/radiol.2020201857 · Cited by 19

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques

Zhong, T., Zhao, F., Pei, Y., Ning, Z., Liao, L., Wu, Z., Niu, Y., Wang, L., Shen, D. G., Zhang, Y., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117649 · Cited by 20

A survey of protocols from 54 infant and toddler neuroimaging research labs

Hendrix, C. L., & Thomason, M. E. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101060 · Cited by 19

Neural Development and Lifelong Plasticity

Nelson, C. A. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511975394.003 · Cited by 20

The Impact of Digital Technology on a Child’s Cognitive and Social Development: Implications for Education

Adeyemi, V. (2025) · Premier Journal of Psychology · doi:10.70389/pjp.100006 · Cited by 21

Cerebral blood flow in 5‐ to 8‐month‐olds: Regional tissue maturity is associated with infant affect

Camacho, M. C., King, L. S., Ojha, A., Garcia, C. M., Sisk, L. M., Cichocki, A. C., Humphreys, K. L., & Gotlib, I. H. (2019) · Developmental Science · doi:10.1111/desc.12928 · Cited by 18

The Brain and Early Experience Study: Protocol for a Prospective Observational Study

Mills-Koonce, R., Willoughby, M. T., Short, S. J., & Propper, C. B. (2022) · JMIR Research Protocols · doi:10.2196/34854 · Cited by 25

Head circumference trajectories during the first two years of life and cognitive development, emotional, and behavior problems in adolescence: a cohort study

Zhu, Z., Shen, J., Zhu, Y., Wang, L., Qi, Q., Wang, X., Li, C., Andegiorgish, A. K., Elhoumed, M., Cheng, Y., et al. (2022) · European Journal of Pediatrics · doi:10.1007/s00431-022-04554-0 · Cited by 18

High-fat/high-sucrose diet worsens metabolic outcomes and widespread hypersensitivity following early-life stress exposure in female mice

Frick, J. M., Eller, O. C., Foright, R. M., Levasseur, B. M., Yang, X., Wang, R., Winter, M. K., O’Neil, M. F., Morris, E. M., Thyfault, J. P., et al. (2023) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00216.2022 · Cited by 19

Quantitative Cranial Magnetic Resonance Imaging in Neonatal Hypoxic-Ischemic Encephalopathy

Mulkey, S. B., Yap, V. L., Swearingen, C. J., Riggins, M. S., Kaiser, J. R., & Schaefer, G. B. (2012) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2012.05.009 · Cited by 18

Gray matter textural heterogeneity as a potential in-vivo biomarker of fine structural abnormalities in Asperger syndrome

Radulescu, E., Ganeshan, B., Minati, L., Beacher, F. D. C. C., Gray, M. A., Chatwin, C. R., Young, R. C. D., Harrison, N. A., & Critchley, H. (2012) · The Pharmacogenomics Journal · doi:10.1038/tpj.2012.3 · Cited by 18

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning

Dong, P., Guo, Y., Gao, Y., Liang, P., Shi, Y., & Guorong Wu, A. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2935184 · Cited by 18

Children with epilepsy demonstrate macro- and microstructural changes in the thalamus, putamen, and amygdala

MacEachern, S. J., Santoro, J. D., Hahn, K. J., Medress, Z. A., Stecher, X., Li, M., Hahn, J. S., Yeom, K. W., & Forkert, N. D. (2019) · Neuroradiology · doi:10.1007/s00234-019-02332-8 · Cited by 18

So young, yet so mature? Electrophysiological and vascular correlates of phonotactic processing in 18-month-olds

Steber, S., & Rossi, S. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100784 · Cited by 20

Structural development of cortical lobes during the first 6 months of life in infant macaques

Kovacs-Balint, Z. A., Payne, C. D., Steele, J., Li, L., Styner, M. A., Bachevalier, J., & Sánchez, M. M. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100906 · Cited by 18

Brain extraction in pediatric ADC maps, toward characterizing neuro-development in multi-platform and multi-institution clinical images

Ou, Y., Gollub, R. L., Retzepi, K., Reynolds, N., Pienaar, R., Pieper, S., Murphy, S. N., Grant, P. E., & Zöllei, L. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.002 · Cited by 19

Feasibility and Success Rate of a Fetal MRI and MR Spectroscopy Research Protocol Performed at Term Using a 3.0-Tesla Scanner

Cortés, M. S., Bargalló, N., Arranz, Á., Simoes, R. V., Figueras, F., & Gratacós, E. (2016) · Fetal Diagnosis and Therapy · doi:10.1159/000445947 · Cited by 18

Emotional Processing in the First 2 Years of Life: A Review of Near‐Infrared Spectroscopy Studies

Maria, A., Shekhar, S., Nissila, I. T., Kotilahti, K. M., Huotilainen, M., Karlsson, L., Karlsson, H., & Tuulari, J. J. (2018) · Journal of Neuroimaging · doi:10.1111/jon.12529 · Cited by 19

Early Life Stress: a Key Link between Childhood Adversity and Risk of Attempting Suicide.

Raleva, M. (2018) · PubMed · Cited by 18

Early microstructure of white matter associated with infant attention

Dowe, K. N., Planalp, E. M., Dean, D., Alexander, A. L., Davidson, R. J., & Goldsmith, H. H. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100815 · Cited by 18

Infant Development: The First 3 Years of Life

Humphreys, K. L., Zeanah, C. H., & Scheeringa, M. S. (2015) · Wiley eBooks · doi:10.1002/9781118753378.ch9 · Cited by 20

Brain Development: Structure

Estrin, G. L., & Bhavnani, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.23776-0 · Cited by 18

Addressing the Affective Domain: What Neuroscience Says About Social/Emotional Development in Early Childhood

Mosier, W. A. (2013) · Springer eBooks · doi:10.1007/978-94-007-6671-6_6 · Cited by 17

Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants

Chen, L., Wang, Y., Wu, Z., Shan, Y., Li, T., Hung, S., Xing, L., Hongtu Zhu, B., Wang, L., Lin, W., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38974-9 · Cited by 17

Early Brain Development for Social Work Practice: Integrating Neuroscience with Piaget's Theory of Cognitive Development

Lefmann, T., & Combs-Orme, T. D. (2013) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2013.775936 · Cited by 17

The Implicit Realm in Couples Therapy: Improving Right Hemisphere Affect-Regulating Capabilities

Lapides, F. (2010) · Clinical Social Work Journal · doi:10.1007/s10615-010-0278-1 · Cited by 17

Regulation Theory and the Early Assessment of Attachment and Autistic Spectrum Disorders: A Response to Voran's Clinical Case

Schore, A. N. (2013) · Journal of Infant Child and Adolescent Psychotherapy · doi:10.1080/15289168.2013.822741 · Cited by 17

A Fully-Automated Subcortical and Ventricular Shape Generation Pipeline Preserving Smoothness and Anatomical Topology

Tang, X., Luo, Y., Chen, Z., Huang, N., Johnson, H. J., Paulsen, J. S., & Miller, M. I. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00321 · Cited by 17

Rough intuitionistic type‐2 fuzzy c‐means clustering algorithm for MR image segmentation

Chen, X., Li, D., Wang, X., Yang, X., & Li, H. (2018) · IET Image Processing · doi:10.1049/iet-ipr.2018.5597 · Cited by 17

The normal evolution of the cranium in three dimensions

Meulstee, J. W., de Jong, G., Borstlap, W. A., Koerts, G., Maal, T., & Delye, H. (2019) · International Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.ijom.2019.10.012 · Cited by 17

Household food insecurity and early childhood development in Brazil: an analysis of children under 2 years of age

de Oliveira, K. H. D., Buccini, G., Hernandez, D. C., Pérez‐Escamilla, R., & Gubert, M. B. (2021) · Public Health Nutrition · doi:10.1017/s1368980021002305 · Cited by 17

Why do Mothers Harm their Babies? Evolutionary Perspectives

Minocher, R., & Sommer, V. (2016) · Interdisciplinary Science Reviews · doi:10.1080/03080188.2016.1256593 · Cited by 17

Shedding light on neuroscience: Two decades of functional near‐infrared spectroscopy applications and advances from a bibliometric perspective

Devezas, M. (2021) · Journal of Neuroimaging · doi:10.1111/jon.12877 · Cited by 16

The impact of prenatal alcohol exposure on gray matter volume and cortical surface area of 2 to 3‐year‐old children in a South African birth cohort

Subramoney, S., Joshi, S. H., Wedderburn, C. J., Lee, D., Roos, A., Woods, R. P., Zar, H. J., Narr, K. L., Stein, D. J., & Donald, K. A. (2022) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14873 · Cited by 16

White matter microstructure predicts individual differences in infant fear (But not anger and sadness)

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doi:10.1093/cercor/bhr327 Advance Access publication November 22, 2011 Longitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years

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