Kiho Im

Publications

1. Impact of high maternal body mass index on fetal cerebral cortical and cerebellar volumes. J Perinat Med. 2025 Jan 06. View Abstract
2. Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact. iScience. 2025 Feb 21; 28(2):111707. View Abstract
3. Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo. bioRxiv. 2024 Jun 28. View Abstract
4. Meta-regression of sulcal patterns, clinical and environmental factors on neurodevelopmental outcomes in participants with multiple CHD types. Cereb Cortex. 2024 06 04; 34(6). View Abstract
5. Automatic cortical surface parcellation in the fetal brain using attention-gated spherical U-net. Front Neurosci. 2024; 18:1410936. View Abstract
6. The role of cortical structural variance in deep learning-based prediction of fetal brain age. Front Neurosci. 2024; 18:1411334. View Abstract
7. Publisher Correction to: Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex. J Autism Dev Disord. 2024 Mar; 54(3):1232. View Abstract
8. A Prospective Multi-Institutional Study Comparing the Brain Development in the Third Trimester between Opioid-Exposed and Nonexposed Fetuses Using Advanced Fetal MR Imaging Techniques. AJNR Am J Neuroradiol. 2024 02 07; 45(2):218-223. View Abstract
9. Association between placental oxygen transport and fetal brain cortical development: a study in monochorionic diamniotic twins. Cereb Cortex. 2024 01 14; 34(1). View Abstract
10. Association of genetic and sulcal traits with executive function in congenital heart disease. Ann Clin Transl Neurol. 2024 02; 11(2):278-290. View Abstract
11. Maternal pre-pregnancy obesity affects the uncinate fasciculus white matter tract in preterm infants. Front Pediatr. 2023; 11:1225960. View Abstract
12. Morphological Features of Language Regions in Individuals with Tuberous Sclerosis Complex. J Autism Dev Disord. 2024 Aug; 54(8):3155-3175. View Abstract
13. Comprehensive quantitative analyses of fetal magnetic resonance imaging in isolated cerebral ventriculomegaly. Neuroimage Clin. 2023; 37:103357. View Abstract
14. Loss of non-motor kinesin KIF26A causes congenital brain malformations via dysregulated neuronal migration and axonal growth as well as apoptosis. Dev Cell. 2022 10 24; 57(20):2381-2396.e13. View Abstract
15. Quantification of sulcal emergence timing and its variability in early fetal life: Hemispheric asymmetry and sex difference. Neuroimage. 2022 11; 263:119629. View Abstract
16. Regional brain development in fetuses with Dandy-Walker malformation: A volumetric fetal brain magnetic resonance imaging study. PLoS One. 2022; 17(2):e0263535. View Abstract
17. Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging. Front Neurosci. 2021; 15:714252. View Abstract
18. Abnormal Right-Hemispheric Sulcal Patterns Correlate with Executive Function in Adolescents with Tetralogy of Fallot. Cereb Cortex. 2021 08 26; 31(10):4670-4680. View Abstract
19. Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development. Cereb Cortex. 2021 07 05; 31(8):3610-3621. View Abstract
20. Abnormal Left-Hemispheric Sulcal Patterns in Adults With Simple Congenital Heart Defects Repaired in Childhood. J Am Heart Assoc. 2021 04 06; 10(7):e018580. View Abstract
21. Intergenerational Transmission of Cortical Sulcal Patterns from Mothers to their Children. Cereb Cortex. 2021 03 05; 31(4):1888-1897. View Abstract
22. Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome. Cereb Cortex. 2021 01 05; 31(2):757-767. View Abstract
23. Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation. Front Neurosci. 2020; 14:591683. View Abstract
24. Cortical sulci in the human fetal brain and development / The Neuroscience of Development. 2020. View Abstract
25. Advanced fetal MRI / Handbook of Pediatric brain imaging: Methods, Modalities and Applications. 2020. View Abstract
26. An Atypical Sulcal Pattern in Children with Disorders of the Corpus Callosum and Its Relation to Behavioral Outcomes. Cereb Cortex. 2020 07 30; 30(9):4790-4799. View Abstract
27. Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life. Cereb Cortex. 2020 06 01; 30(7):4257-4268. View Abstract
28. Abnormal Left-Hemispheric Sulcal Patterns Correlate with Neurodevelopmental Outcomes in Subjects with Single Ventricular Congenital Heart Disease. Cereb Cortex. 2020 03 21; 30(2):476-487. View Abstract
29. Quantitative MRI Analyses of Regional Brain Growth in Living Fetuses with Down Syndrome. Cereb Cortex. 2020 01 10; 30(1):382-390. View Abstract
30. Longitudinal structural connectomic and rich-club analysis in adolescent mTBI reveals persistent, distributed brain alterations acutely through to one year post-injury. Sci Rep. 2019 12 11; 9(1):18833. View Abstract
31. Early-Emerging Sulcal Patterns Are Atypical in Fetuses with Congenital Heart Disease. Cereb Cortex. 2019 07 22; 29(8):3605-3616. View Abstract
32. Altered White Matter Organization in the TUBB3 E410K Syndrome. Cereb Cortex. 2019 07 22; 29(8):3561-3576. View Abstract
33. Altered structural brain connectivity involving the dorsal and ventral language pathways in 16p11.2 deletion syndrome. Brain Imaging Behav. 2019 Apr; 13(2):430-445. View Abstract
34. Altered White Matter Connectivity Associated with Intergyral Brain Disorganization in Hemiplegic Cerebral Palsy. Neuroscience. 2019 02 10; 399:146-160. View Abstract
35. Automatic labeling of cortical sulci for the human fetal brain based on spatio-temporal information of gyrification. Neuroimage. 2019 03; 188:473-482. View Abstract
36. Disorganized Patterns of Sulcal Position in Fetal Brains with Agenesis of Corpus Callosum. Cereb Cortex. 2018 09 01; 28(9):3192-3203. View Abstract
37. Sodium Channel SCN3A (NaV1.3) Regulation of Human Cerebral Cortical Folding and Oral Motor Development. Neuron. 2018 09 05; 99(5):905-913.e7. View Abstract
38. Aspm knockout ferret reveals an evolutionary mechanism governing cerebral cortical size. Nature. 2018 04; 556(7701):370-375. View Abstract
39. Sulcal pits and patterns in developing human brains. Neuroimage. 2019 01 15; 185:881-890. View Abstract
40. Total MRI Small Vessel Disease Burden Correlates with Cognitive Performance, Cortical Atrophy, and Network Measures in a Memory Clinic Population. J Alzheimers Dis. 2018; 63(4):1485-1497. View Abstract
41. Vascular Effects on Depressive Symptoms in Cognitive Impairment. J Alzheimers Dis. 2018; 65(2):597-605. View Abstract
42. 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. 2017; 12(7):e0178510. View Abstract
43. Quantitative Folding Pattern Analysis of Early Primary Sulci in Human Fetuses with Brain Abnormalities. AJNR Am J Neuroradiol. 2017 Jul; 38(7):1449-1455. View Abstract
44. Higher Physical Activity Is Associated with Increased Attentional Network Connectivity in the Healthy Elderly. Front Aging Neurosci. 2016; 8:198. View Abstract
45. Early- vs late-onset subcortical vascular cognitive impairment. Neurology. 2016 Feb 09; 86(6):527-34. View Abstract
46. Clinical effect of white matter network disruption related to amyloid and small vessel disease. Neurology. 2015 Jul 07; 85(1):63-70. View Abstract
47. Development of PET/MRI with insertable PET for simultaneous PET and MR imaging of human brain. Med Phys. 2015 May; 42(5):2354-63. View Abstract
48. Structural brain changes after traditional and robot-assisted multi-domain cognitive training in community-dwelling healthy elderly. PLoS One. 2015; 10(4):e0123251. View Abstract
49. Altered Structural Brain Networks in Tuberous Sclerosis Complex. Cereb Cortex. 2016 May; 26(5):2046-58. View Abstract
50. Atypical Sulcal Pattern in Children with Developmental Dyslexia and At-Risk Kindergarteners. Cereb Cortex. 2016 Mar; 26(3):1138-1148. View Abstract
51. Effects of amyloid and small vessel disease on white matter network disruption. J Alzheimers Dis. 2015; 44(3):963-75. View Abstract
52. Higher C-peptide levels are associated with regional cortical thinning in 1093 cognitively normal subjects. Eur J Neurol. 2014 Oct; 21(10):1318-23, e80-1. View Abstract
53. Evolutionarily dynamic alternative splicing of GPR56 regulates regional cerebral cortical patterning. Science. 2014 Feb 14; 343(6172):764-8. View Abstract
54. Altered white matter connectivity and network organization in polymicrogyria revealed by individual gyral topology-based analysis. Neuroimage. 2014 Feb 01; 86:182-93. View Abstract
55. Prediction for human intelligence using morphometric characteristics of cortical surface: partial least square analysis. Neuroscience. 2013 Aug 29; 246:351-61. View Abstract
56. Automated sulcal depth measurement on cortical surface reflecting geometrical properties of sulci. PLoS One. 2013; 8(2):e55977. View Abstract
57. Longitudinal changes of cortical thickness in early- versus late-onset Alzheimer's disease. Neurobiol Aging. 2013 Jul; 34(7):1921.e9-1921.e15. View Abstract
58. Reliable identification of deep sulcal pits: the effects of scan session, scanner, and surface extraction tool. PLoS One. 2013; 8(1):e53678. View Abstract
59. Effect of kidney dysfunction on cortical thinning in patients with probable Alzheimer's disease dementia. J Alzheimers Dis. 2013; 33(4):961-8. View Abstract
60. Quantification and discrimination of abnormal sulcal patterns in polymicrogyria. Cereb Cortex. 2013 Dec; 23(12):3007-15. View Abstract
61. Cardiovascular risk factors cause cortical thinning in cognitively impaired patients: relationships among cardiovascular risk factors, white matter hyperintensities, and cortical atrophy. Alzheimer Dis Assoc Disord. 2012 Apr-Jun; 26(2):106-12. View Abstract
62. Topography of cortical thinning areas associated with hippocampal atrophy (HA) in patients with Alzheimer's disease (AD). Arch Gerontol Geriatr. 2012 Mar-Apr; 54(2):e122-9. View Abstract
63. The cortical neuroanatomy of neuropsychological deficits in mild cognitive impairment and Alzheimer's disease: a surface-based morphometric analysis. Neuropsychologia. 2011 Dec; 49(14):3931-45. View Abstract
64. Cortical thinning in verbal, visual, and both memory-predominant mild cognitive impairment. Alzheimer Dis Assoc Disord. 2011 Jul-Sep; 25(3):242-9. View Abstract
65. A multi-resolution scheme for distortion-minimizing mapping between human subcortical structures based on geodesic construction on Riemannian manifolds. Neuroimage. 2011 Aug 15; 57(4):1376-92. View Abstract
66. Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: a twin study. Neuroimage. 2011 Aug 01; 57(3):1077-86. View Abstract
67. Cortical thinning related to periventricular and deep white matter hyperintensities. Neurobiol Aging. 2012 Jul; 33(7):1156-67. View Abstract
68. The relationship between the presence of sulcal pits and intelligence in human brains. Neuroimage. 2011 Apr 15; 55(4):1490-6. View Abstract
69. Spectral-based automatic labeling and refining of human cortical sulcal curves using expert-provided examples. Neuroimage. 2010 Aug 01; 52(1):142-57. View Abstract
70. Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance. Neuroimage. 2010 Jan 01; 49(1):293-302. View Abstract
71. Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface. Cereb Cortex. 2010 Mar; 20(3):602-11. View Abstract
72. Effects of demographic factors on cortical thickness in Alzheimer's disease. Neurobiol Aging. 2011 Feb; 32(2):200-9. View Abstract
73. Cortical thinning in vascular mild cognitive impairment and vascular dementia of subcortical type. J Neuroimaging. 2010 Jan; 20(1):37-45. View Abstract
74. Sulcal morphology changes and their relationship with cortical thickness and gyral white matter volume in mild cognitive impairment and Alzheimer's disease. Neuroimage. 2008 Oct 15; 43(1):103-13. View Abstract
75. Human cortical anatomical networks assessed by structural MRI. Brain Imaging and Behavior. 2008; 2:289-299. View Abstract
76. Variations in cortical thickness with dementia severity in Alzheimer's disease. Neurosci Lett. 2008 May 09; 436(2):227-31. View Abstract
77. Brain size and cortical structure in the adult human brain. Cereb Cortex. 2008 Sep; 18(9):2181-91. View Abstract
78. Cortical thickness in single- versus multiple-domain amnestic mild cognitive impairment. Neuroimage. 2007 Jun; 36(2):289-97. View Abstract
79. Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. Neuroimage. 2007 Feb 15; 34(4):1405-15. View Abstract
80. Fractal dimension in human cortical surface: multiple regression analysis with cortical thickness, sulcal depth, and folding area. Hum Brain Mapp. 2006 Dec; 27(12):994-1003. View Abstract
81. Gender difference analysis of cortical thickness in healthy young adults with surface-based methods. Neuroimage. 2006 May 15; 31(1):31-8. View Abstract
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