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Kiho Im, PhD

Kiho Im PhD
Research Center:
Fetal-Neonatal Neuroimaging and Developmental Science Center
Medicine Research
Newborn Medicine Research
Hospital Title:
Associate Scientific Researcher
Academic Title:
Instructor in Pediatrics, Harvard Medical School
Research Focus Area:
NeuroimagingMagnetic Resonance ImagingDevelopmental MedicineNeuroscienceNewborn Medicine
Contact Via Email
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Research Overview

I have expertise in neuroimage analysis using structural and diffusion magnetic resonance imaging (MRI) and I have been focused on development and analysis of quantitative neuroimaging features of normal and abnormal brain development. I have developed methodologies for quantifying and investigating early cortical structural development, and for examining white matter connectivity patterns based on individual’s cortical gyral patterns. My long-term goal is to provide a novel and unique imaging biomarker for genetic brain disorders, and develop my career as a pioneer in a translational research filed of the developmental neuroimaging. To that end, I have been studying various developmental brain disorders using my original MRI analysis techniques and showing the potential to really diagnose developmental problems in multiple disorders (polymicrogyria, developmental dyslexia, tuberous sclerosis complex, and TUBB3 syndromes). 


Publications powered by Harvard Catalyst Profiles
  1. Arca-Díaz G, Re TJ, Drottar M, Fortuno CR, De Macedo-Rodrigues K, Im K, Figueras-Aloy J, Grant PE. 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.
  2. Im K, Guimaraes A, Kim Y, Cottrill E, Gagoski B, Rollins C, Ortinau C, Yang E, Grant PE. Quantitative Folding Pattern Analysis of Early Primary Sulci in Human Fetuses with Brain Abnormalities. AJNR Am J Neuroradiol. 2017 Jul; 38(7):1449-1455.
  3. Kim GH, Im K, Kwon H, Seo SW, Ye BS, Cho H, Noh Y, Lee JM, Kim ST, Park SE, Kim H, Hwang JW, Kang SJ, Jeong JH, Na DL. Higher Physical Activity Is Associated with Increased Attentional Network Connectivity in the Healthy Elderly. Front Aging Neurosci. 2016; 8:198.
  4. Jung JH, Choi Y, Im KC. PET/MRI: Technical Challenges and Recent Advances. Nucl Med Mol Imaging. 2016 Mar; 50(1):3-12.
  5. Jang YK, Kwon H, Kim YJ, Jung NY, Lee JS, Lee J, Chin J, Im K, Jeon S, Lee JM, Seong JK, Kim JH, Kim S, Choe YS, Lee KH, Kim ST, Kim JS, Lee JH, Na DL, Seo SW, Kim HJ. Early- vs late-onset subcortical vascular cognitive impairment. Neurology. 2016 Feb 09; 86(6):527-34.
  6. Kim HJ, Im K, Kwon H, Lee JM, Kim C, Kim YJ, Jung NY, Cho H, Ye BS, Noh Y, Kim GH, Ko ED, Kim JS, Choe YS, Lee KH, Kim ST, Lee JH, Ewers M, Weiner MW, Na DL, Seo SW. Clinical effect of white matter network disruption related to amyloid and small vessel disease. Neurology. 2015 Jul 07; 85(1):63-70.
  7. Kim GH, Jeon S, Im K, Kwon H, Lee BH, Kim GY, Jeong H, Han NE, Seo SW, Cho H, Noh Y, Park SE, Kim H, Hwang JW, Yoon CW, Kim HJ, Ye BS, Chin JH, Kim JH, Suh MK, Lee JM, Kim ST, Choi MT, Kim MS, Heilman KM, Jeong JH, Na DL. Structural brain changes after traditional and robot-assisted multi-domain cognitive training in community-dwelling healthy elderly. PLoS One. 2015; 10(4):e0123251.
  8. Im K, Ahtam B, Haehn D, Peters JM, Warfield SK, Sahin M, Ellen Grant P. Altered Structural Brain Networks in Tuberous Sclerosis Complex. Cereb Cortex. 2016 May; 26(5):2046-58.
  9. Im K, Raschle NM, Smith SA, Ellen Grant P, Gaab N. Atypical Sulcal Pattern in Children with Developmental Dyslexia and At-Risk Kindergarteners. Cereb Cortex. 2016 Mar; 26(3):1138-1148.
  10. Kim HJ, Im K, Kwon H, Lee JM, Ye BS, Kim YJ, Cho H, Choe YS, Lee KH, Kim ST, Kim JS, Lee JH, Na DL, Seo SW. Effects of amyloid and small vessel disease on white matter network disruption. J Alzheimers Dis. 2015; 44(3):963-75.
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  12. Jung J, Choi Y, Jung JH, Kim S, Im KC, Lim HK, Oh C, Park H, Cho G. Development of PET insert for simultaneous PET/MR imaging of human brain. EJNMMI Phys. 2014 Jul; 1(Suppl 1):A8.
  13. Bae BI, Tietjen I, Atabay KD, Evrony GD, Johnson MB, Asare E, Wang PP, Murayama AY, Im K, Lisgo SN, Overman L, Šestan N, Chang BS, Barkovich AJ, Grant PE, Topçu M, Politsky J, Okano H, Piao X, Walsh CA. Evolutionarily dynamic alternative splicing of GPR56 regulates regional cerebral cortical patterning. Science. 2014 Feb 14; 343(6172):764-8.
  14. Park HK, Kim JS, Im KC, Kim MJ, Lee JH, Lee MC, Kim J, Chung SJ. Visual hallucinations and cognitive impairment in Parkinson's disease. Can J Neurol Sci. 2013 Sep; 40(5):657-62.
  15. Im K, Paldino MJ, Poduri A, Sporns O, Grant PE. Altered white matter connectivity and network organization in polymicrogyria revealed by individual gyral topology-based analysis. Neuroimage. 2014 Feb 01; 86:182-93.
  16. Yun HJ, Im K, Yoon U, Lee JM. Automated sulcal depth measurement on cortical surface reflecting geometrical properties of sulci. PLoS One. 2013; 8(2):e55977.
  17. Cho H, Jeon S, Kang SJ, Lee JM, Lee JH, Kim GH, Shin JS, Kim CH, Noh Y, Im K, Kim ST, Chin J, Seo SW, Na DL. Longitudinal changes of cortical thickness in early- versus late-onset Alzheimer's disease. Neurobiol Aging. 2013 Jul; 34(7):1921.e9-1921.e15.
  18. Im K, Lee JM, Jeon S, Kim JH, Seo SW, Na DL, Grant PE. Reliable identification of deep sulcal pits: the effects of scan session, scanner, and surface extraction tool. PLoS One. 2013; 8(1):e53678.
  19. Cho EB, Seo SW, Kim H, Lee JM, Yoon U, Im K, Kim GH, Noh Y, Cho H, Yoon CW, Kim HJ, Na DL. Effect of kidney dysfunction on cortical thinning in patients with probable Alzheimer's disease dementia. J Alzheimers Dis. 2013; 33(4):961-8.
  20. Im K, Pienaar R, Paldino MJ, Gaab N, Galaburda AM, Grant PE. Quantification and discrimination of abnormal sulcal patterns in polymicrogyria. Cereb Cortex. 2013 Dec; 23(12):3007-15.
  21. Seo SW, Lee JM, Im K, Park JS, Kim SH, Kim ST, Ahn JH, Kim MJ, Kim GH, Kim JH, Roh JH, Cheong HK, Na DL. 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.
  22. Lee EM, Park GY, Im KC, Kim ST, Woo CW, Chung JH, Kim KS, Kim JS, Shon YM, Kim YI, Kang JK. Changes in glucose metabolism and metabolites during the epileptogenic process in the lithium-pilocarpine model of epilepsy. Epilepsia. 2012 May; 53(5):860-9.
  23. Kim GH, Jeon S, Seo SW, Kim MJ, Kim JH, Roh JH, Shin JS, Kim CH, Im K, Lee JM, Qiu A, Kim ST, Na DL. 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.
  24. Ahn HJ, Seo SW, Chin J, Suh MK, Lee BH, Kim ST, Im K, Lee JM, Lee JH, Heilman KM, Na DL. 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.
  25. Kim MJ, Im K, Lee JM, Park A, Chin J, Kim GH, Kim JH, Roh JH, Seo SW, Na DL. Cortical thinning in verbal, visual, and both memory-predominant mild cognitive impairment. Alzheimer Dis Assoc Disord. 2011 Jul-Sep; 25(3):242-9.
  26. Cho Y, Seong JK, Shin SY, Jeong Y, Kim JH, Qiu A, Im K, Lee JM, Na DL. 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.
  27. Im K, Pienaar R, Lee JM, Seong JK, Choi YY, Lee KH, Grant PE. Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: a twin study. Neuroimage. 2011 Aug 01; 57(3):1077-86.
  28. Seo SW, Lee JM, Im K, Park JS, Kim SH, Kim ST, Ahn HJ, Chin J, Cheong HK, Weiner MW, Na DL. Cortical thinning related to periventricular and deep white matter hyperintensities. Neurobiol Aging. 2012 Jul; 33(7):1156-67.
  29. Im K, Choi YY, Yang JJ, Lee KH, Kim SI, Grant PE, Lee JM. The relationship between the presence of sulcal pits and intelligence in human brains. Neuroimage. 2011 Apr 15; 55(4):1490-6.
  30. Choi W, Lee SW, Park SH, Ryu JS, Oh SJ, Im KC, Choi EK, Kim JH, Jung SH, Kim S, Ahn SD. Planning study for available dose of hypoxic tumor volume using fluorine-18-labeled fluoromisonidazole positron emission tomography for treatment of the head and neck cancer. Radiother Oncol. 2010 Nov; 97(2):176-82.
  31. Lyu I, Seong JK, Shin SY, Im K, Roh JH, Kim MJ, Kim GH, Kim JH, Evans AC, Na DL, Lee JM. Spectral-based automatic labeling and refining of human cortical sulcal curves using expert-provided examples. Neuroimage. 2010 Aug 01; 52(1):142-57.
  32. Seong JK, Im K, Yoo SW, Seo SW, Na DL, Lee JM. Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance. Neuroimage. 2010 Jan 01; 49(1):293-302.
  33. Im KC, Choi IS, Ryu JS, Eo GS, Kim JS, Moon DH. PET/CT fusion viewing software for use with picture archiving and communication systems. J Digit Imaging. 2010 Dec; 23(6):732-43.
  34. Choi SJ, Kim SY, Kim SJ, Lee JS, Lee SJ, Park SA, Lee SJ, Yun SC, Im KC, Oh SJ, Kim SW, Kim JS, Ryu JS, Moon DH. Reproducibility of the kinetic analysis of 3'-deoxy-3'-[(18)F]fluorothymidine positron emission tomography in mouse tumor models. Nucl Med Biol. 2009 Oct; 36(7):711-9.
  35. Im K, Jo HJ, Mangin JF, Evans AC, Kim SI, Lee JM. Spatial distribution of deep sulcal landmarks and hemispherical asymmetry on the cortical surface. Cereb Cortex. 2010 Mar; 20(3):602-11.
  36. Kwon KY, Kim JS, Im KC, Lee MC, Chung SJ. Comparison of Cerebral Glucose Metabolism between Possible and Probable Multiple System Atrophy. J Mov Disord. 2009 May; 2(1):22-8.
  37. Seo SW, Im K, Lee JM, Kim ST, Ahn HJ, Go SM, Kim SH, Na DL. Effects of demographic factors on cortical thickness in Alzheimer's disease. Neurobiol Aging. 2011 Feb; 32(2):200-9.
  38. Lee EM, Im KC, Kim JH, Lee JK, Hong SH, No YJ, Lee SA, Kim JS, Kang JK. Relationship between hypometabolic patterns and ictal scalp EEG patterns in patients with unilateral hippocampal sclerosis: An FDG-PET study. Epilepsy Res. 2009 Apr; 84(2-3):187-93.
  39. Choi EK, Kim JK, Choi HJ, Park SH, Park BW, Kim N, Kim JS, Im KC, Cho G, Cho KS. Node-by-node correlation between MR and PET/CT in patients with uterine cervical cancer: diffusion-weighted imaging versus size-based criteria on T2WI. Eur Radiol. 2009 Aug; 19(8):2024-32.
  40. Seo SW, Ahn J, Yoon U, Im K, Lee JM, Tae Kim S, Ahn HJ, Chin J, Jeong Y, Na DL. Cortical thinning in vascular mild cognitive impairment and vascular dementia of subcortical type. J Neuroimaging. 2010 Jan; 20(1):37-45.
  41. Sohn HJ, Yang YJ, Ryu JS, Oh SJ, Im KC, Moon DH, Lee DH, Suh C, Lee JS, Kim SW. [18F]Fluorothymidine positron emission tomography before and 7 days after gefitinib treatment predicts response in patients with advanced adenocarcinoma of the lung. Clin Cancer Res. 2008 Nov 15; 14(22):7423-9.
  42. Im K, Lee JM, Seo SW, Hyung Kim S, Kim SI, Na DL. 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.
  43. Kim JS, Lee JS, Park MH, Kang H, Lee JJ, Lee HJ, Im KC, Moon DH, Lim SM, Oh SH, Lee DS. Assessment of cerebral glucose metabolism in cat deafness model: strategies for improving the voxel-based statistical analysis for animal PET studies. Mol Imaging Biol. 2008 May-Jun; 10(3):154-61.
  44. Im K, Lee JM, Seo SW, Yoon U, Kim ST, Kim YH, Kim SI, Na DL. Variations in cortical thickness with dementia severity in Alzheimer's disease. Neurosci Lett. 2008 May 09; 436(2):227-31.
  45. Lee SW, Nam SY, Im KC, Kim JS, Choi EK, Ahn SD, Park SH, Kim SY, Lee BJ, Kim JH. Prediction of prognosis using standardized uptake value of 2-[(18)F] fluoro-2-deoxy-d-glucose positron emission tomography for nasopharyngeal carcinomas. Radiother Oncol. 2008 May; 87(2):211-6.
  46. Im K, Lee JM, Lyttelton O, Kim SH, Evans AC, Kim SI. Brain size and cortical structure in the adult human brain. Cereb Cortex. 2008 Sep; 18(9):2181-91.
  47. Kim JS, Lee JS, Im KC, Kim SJ, Kim SY, Lee DS, Moon DH. Performance measurement of the microPET focus 120 scanner. J Nucl Med. 2007 Sep; 48(9):1527-35.
  48. Seo SW, Im K, Lee JM, Kim YH, Kim ST, Kim SY, Yang DW, Kim SI, Cho YS, Na DL. Cortical thickness in single- versus multiple-domain amnestic mild cognitive impairment. Neuroimage. 2007 Jun; 36(2):289-97.
  49. Kim SY, Lee SW, Nam SY, Im KC, Kim JS, Oh SJ, Ahn SD, Shin SS, Choi EK, Kim JH. The Feasibility of 18F-FDG PET scans 1 month after completing radiotherapy of squamous cell carcinoma of the head and neck. J Nucl Med. 2007 Mar; 48(3):373-8.
  50. Kim JH, Im KC, Kim JS, Lee SA, Lee JK, Khang SK, Kang JK. Ictal hyperperfusion patterns in relation to ictal scalp EEG patterns in patients with unilateral hippocampal sclerosis: a SPECT study. Epilepsia. 2007 Feb; 48(2):270-7.
  51. Yoon U, Lee JM, Im K, Shin YW, Cho BH, Kim IY, Kwon JS, Kim SI. Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. Neuroimage. 2007 Feb 15; 34(4):1405-15.
  52. Im K, Lee JM, Yoon U, Shin YW, Hong SB, Kim IY, Kwon JS, Kim SI. 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.
  53. Pai M, Yang YJ, Im KC, Hong IK, Yun SC, Kang DH, Song JK, Moon DH. Factors affecting accuracy of ventricular volume and ejection fraction measured by gated tl-201 myocardial perfusion single photon emission computed tomography. Int J Cardiovasc Imaging. 2006 Oct; 22(5):671-81.
  54. Im K, Lee JM, Lee J, Shin YW, Kim IY, Kwon JS, Kim SI. Gender difference analysis of cortical thickness in healthy young adults with surface-based methods. Neuroimage. 2006 May 15; 31(1):31-8.
  55. Yang YJ, Ryu JS, Kim SY, Oh SJ, Im KC, Lee H, Lee SW, Cho KJ, Cheon GJ, Moon DH. Use of 3'-deoxy-3'-[18F]fluorothymidine PET to monitor early responses to radiation therapy in murine SCCVII tumors. Eur J Nucl Med Mol Imaging. 2006 Apr; 33(4):412-9.
  56. Kim JH, Im KC, Kim JS, Lee SA, Kang JK. Correlation of interictal spike-wave with thalamic glucose metabolism in juvenile myoclonic epilepsy. Neuroreport. 2005 Aug 01; 16(11):1151-5.
  57. Nam SY, Lee SW, Im KC, Kim JS, Kim SY, Choi SH, Ryu JS, Moon DH, Oh SJ, Yi BY, Kim JH, Ahn SD, Shin SS, Kim SB, Choi EK, Lee BJ. Early evaluation of the response to radiotherapy of patients with squamous cell carcinoma of the head and neck using 18FDG-PET. Oral Oncol. 2005 Apr; 41(4):390-5.
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