화소 기반 형태분석 방법을 이용한 경도인지장애 환자의 회백질 용적감소의 정량적 분석
A Voxel-Based Morphometry of Gray Matter Volume Reduction in Patients with Mild Cognitive Impairment
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초록
Objectives : Optimized voxel based morphometry (VBM) has been increasingly applied to investigate differences in the brain morphology between a group of patients with mild cognitive impairment (MCI) and control subjects. Optimized VBM permits comparison of gray matter (GM) volume at voxel-level from the entire brain. The purpose of this study was to assess the regional GM volume change measured by optimized VBM in MCI subjects compared to controls. Methods : Twenty patients with MCI and 20 control subjects with normal cognition were recruited for this study. We applied the optimized VBM protocol to the image data including study-specific template and the modulation of the data with the Jacobian determinants. GM volume differences between the MCI subjects and the control subjects and their correlations with the neuropsychological performances were investigated. Results : Optimized VBM analysis revealed GM volume reduction in hippocampus, precentral gyrus, insula and parietal operculum in the MCI group compared to the control group (family wise error corrected p < 0.05). Korean version of the Consortium to Establish a Registry for Alzheimer’s disease (CERAD-K) word list recall scores were significantly correlated with the GM volumes of hippocampus, precuneus and posterior cingulate in the MCI group (FWE corrected p < 0.05). Conclusions : The results confirm previous findings of atrophic changes in medial temporal lobe and parietal lobe in the MCI group and suggest that these abnormalities may be related with cognitive decline and prognosis in patients with MCI.
Abstract
Objectives : Optimized voxel based morphometry (VBM) has been increasingly applied to investigate differences in the brain morphology between a group of patients with mild cognitive impairment (MCI) and control subjects. Optimized VBM permits comparison of gray matter (GM) volume at voxel-level from the entire brain. The purpose of this study was to assess the regional GM volume change measured by optimized VBM in MCI subjects compared to controls. Methods : Twenty patients with MCI and 20 control subjects with normal cognition were recruited for this study. We applied the optimized VBM protocol to the image data including study-specific template and the modulation of the data with the Jacobian determinants. GM volume differences between the MCI subjects and the control subjects and their correlations with the neuropsychological performances were investigated. Results : Optimized VBM analysis revealed GM volume reduction in hippocampus, precentral gyrus, insula and parietal operculum in the MCI group compared to the control group (family wise error corrected p < 0.05). Korean version of the Consortium to Establish a Registry for Alzheimer’s disease (CERAD-K) word list recall scores were significantly correlated with the GM volumes of hippocampus, precuneus and posterior cingulate in the MCI group (FWE corrected p < 0.05). Conclusions : The results confirm previous findings of atrophic changes in medial temporal lobe and parietal lobe in the MCI group and suggest that these abnormalities may be related with cognitive decline and prognosis in patients with MCI.
참고문헌 (32)
- Petersen RC, "Mild cognitive impairment: ten years later", Arch Neurol, 66, pp.1447~1455 (2009)
- Linn RT, "The ‘preclinical phase’ of probable Alzheimer’s disease", Arch Neurol, 52, pp.485~490 (1995)
- Ries ML, "Magnetic resonance imaging characterization of brain structure and function in mild cognitive impairment: a review", J Am Geriatr Soc, 56, pp.920~934 (2008)
- Stoub TR, "Hippocampal disconnection contributes to memory dysfunction in individuals at risk for Alzheimer’s disease", Proc Natl Acad Sci U S A, 103, pp.10041~10045 (2006)
- Becker JT, "Three-dimensional patterns of hippocampal atrophy in mild cognitive impairment", Arch Neurol, 63, pp.97~101 (2006)
- Ashburner J, "Voxel-based morphometry--the methods", Neuroimage, 11, pp.805~821 (2000)
- Jack CR Jr, "Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment", Neurology, 52, pp.1397~1403 (1999)
- Pennanen C, "Hippocampus and entorhinal cortex in mild cognitive impairment and early AD", Neurobiol Aging, 25, pp.303~310 (2004)
- Kovacevic S, "High-throughput, fully automated volumetry for prediction of MMSE and CDR decline in mild cognitive impairment", Alzheimer Dis Assoc Disord, 23, pp.139~145 (2009)
- Driscoll I, "Longitudinal pattern of regional brain volume change differentiates normal aging from MCI", Neurology, 72, pp.1906~1913 (2009)
- Smith CD, "Brain structural alterations before mild cognitive impairment", Neurology, 68, pp.1268~1273 (2007)
- Bookstein FL, "“Voxel-based morphometry” should not be used with imperfectly registered images", Neuroimage, 14, pp.1454~1462 (2001)
- Good CD, "A voxel-based morphometric study of ageing in 465 normal adult human brains", Neuroimage, 14, pp.21~36 (2001)
- Good CD, "Automatic differentiation of anatomical patterns in the human brain: validation with studies of degenerative dementias", Neuroimage, 17, pp.29~46 (2002)
- Lee JH, "Development of the Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease Assessment Packet (CERAD-K): clinical and neuropsychological assessment batteries", J Gerontol B Psychol Sci Soc Sci, 57, pp.47~53 (2002)
- Braak H, "Neuropathological stageing of Alzheimer-related changes", Acta Neuropathol, 82, pp.239~259 (1991)
- Price JL, "Tangles and plaques in nondemented aging and “preclinical” Alzheimer’s disease", Ann Neurol, 45, pp.358~368 (1999)
- Grundman M, "Brain MRI hippocampal volume and prediction of clinical status in a mild cognitive impairment trial", J Mol Neurosci, 19, pp.23~27 (2002)
- Karas GB, "A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry", Neuroimage, 18, pp.895~907 (2003)
- Karas GB, "Global and local gray matter loss in mild cognitive impairment and Alzheimer’s disease", Neuroimage, 23, pp.708~716 (2004)
- Killiany RJ, "MRI measures of entorhinal cortex vs hippocampus in preclinical AD", Neurology, 58, pp.1188~1196 (2002)
- Minoshima S, "A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET", J Nucl Med, 36, pp.1238~1248 (1995)
- Pennanen C, "A voxel based morphometry study on mild cognitive impairment", J Neurol Neurosurg Psychiatry, 76, pp.11~14 (2005)
- Bottino CM, "Volumetric MRI measurements can differentiate Alzheimer’s disease, mild cognitive impairment, and normal aging", Int Psychogeriatr, 14, pp.59~72 (2002)
- Müller MJ, "Functional implications of hippocampal volume and diffusivity in mild cognitive impairment", Neuroimage, 28, pp.1033~1042 (2005)
- Zhang H, "Grey matter atrophy of basal forebrain and hippocampus in mild cognitive impairment", J Neurol Neurosurg Psychiatry, 82, pp.487~493 (2011)
- Cao Q, "Brain glucose metabolism and neuropsychological test in patients with mild cognitive impairment", Chin Med J, 116, pp.1235~1238 (2003)
- Karas G, "Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease", AJNR Am J Neuroradiol, 29, pp.944~949 (2008)
- Valeria Santoro Bahia, "Pain and apathy", Dementia & Neuropsychologia, 2(4), pp.362~365 (2008)
- Palmer K, "Neuropsychiatric predictors of progression from amnesticmild cognitive impairment to Alzheimer’s disease: the role of depression and apathy", J Alzheimers Dis, 20, pp.175~183 (2010)
- Delbeuck X, "Alzheimer’s disease as a disconnection syndrome", Neuropsychol Rev, 13, pp.79~92 (2003)
- Mesulam MM, "Heterogeneity of cingulate contributions to spatial attention", Neuroimage, 13, pp.1065~1072 (2001)
