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Different Cortical Thinning Patterns Depending on Their Prognosis in Individuals with Subjective Cognitive Decline

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주제분류신경과학

초록

Background and Purpose: Subjective cognitive decline (SCD) may be the first stage corresponding to subtle cognitive changes in patients with Alzheimer's disease (AD) spectrum disorders. We evaluated the differences in cortical thinning patterns among patients with SCD who progressed to mild cognitive impairment or dementia (pSCD), those who remained stable (sSCD), and healthy normal controls (NCs). Methods: We retrospectively recruited SCD subjects (14 pSCD and 21 sSCD cases) and 29 NCs. Structural 3-dimensional-T1-weighted magnetic resonance imaging was performed using a single 1.5 Tesla scanner. Freesurfer software was used to map cortical thickness for group comparisons. Results: Compared with NC group, the sSCD group showed diffuse cortical atrophy associated with bilateral fronto-parieto-temporal area. The pSCD group showed further characteristic cortical atrophy in AD-vulnerable regions including the inferior parietotemporal and middle temporal areas. Cortical thinning in the bilateral medial frontal areas was observed in patients with sSCD and involved the right inferior temporal and left precentral areas in those with pSCD. Conclusions: Our study showed that SCD subjects exhibit different cortical thinning patterns depending on their prognosis.

Abstract

Background and Purpose: Subjective cognitive decline (SCD) may be the first stage corresponding to subtle cognitive changes in patients with Alzheimer's disease (AD) spectrum disorders. We evaluated the differences in cortical thinning patterns among patients with SCD who progressed to mild cognitive impairment or dementia (pSCD), those who remained stable (sSCD), and healthy normal controls (NCs). Methods: We retrospectively recruited SCD subjects (14 pSCD and 21 sSCD cases) and 29 NCs. Structural 3-dimensional-T1-weighted magnetic resonance imaging was performed using a single 1.5 Tesla scanner. Freesurfer software was used to map cortical thickness for group comparisons. Results: Compared with NC group, the sSCD group showed diffuse cortical atrophy associated with bilateral fronto-parieto-temporal area. The pSCD group showed further characteristic cortical atrophy in AD-vulnerable regions including the inferior parietotemporal and middle temporal areas. Cortical thinning in the bilateral medial frontal areas was observed in patients with sSCD and involved the right inferior temporal and left precentral areas in those with pSCD. Conclusions: Our study showed that SCD subjects exhibit different cortical thinning patterns depending on their prognosis.

참고문헌 (37)

  1. Jessen F, "A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease", Alzheimers Dement, 10, pp.844~852 (2014)
  2. Jack CR Jr, "Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade", Lancet Neurol, 9, pp.119~128 (2010)
  3. Visser PJ, "Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study", Lancet Neurol, 8, pp.619~627 (2009)
  4. Amariglio RE, "Subjective cognitive complaints and amyloid burden in cognitively normal older individuals", Neuropsychologia, 50, pp.2880~2886 (2012)
  5. van Harten AC, "Cerebrospinal fluid Aβ42 is the best predictor of clinical progression in patients with subjective complaints", Alzheimers Dement, 9, pp.481~487 (2013)
  6. Balash Y, "Subjective memory complaints in elders: depression, anxiety, or cognitive decline?", Acta Neurol Scand, 127, pp.344~350 (2013)
  7. Sousa M, "Subjective memory complaint and depressive symptoms among older adults in Portugal", Curr Gerontol Geriatr Res, 2015, pp.296581~ (2015)
  8. Hollands S, "Amyloid-β related memory decline is not associated with subjective or informant rated cognitive impairment in healthy adults", J Alzheimers Dis, 43, pp.677~686 (2015)
  9. Small GW, "PET of brain amyloid and tau in mild cognitive impairment", N Engl J Med, 355, pp.2652~2663 (2006)
  10. Mueller SG, "Evaluation of treatment effects in Alzheimer's and other neurodegenerative diseases by MRI and MRS", NMR Biomed, 19, pp.655~668 (2006)
  11. Lerch JP, "Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy", Cereb Cortex, 15, pp.995~1001 (2005)
  12. Lerch JP, "Automated cortical thickness measurements from MRI can accurately separate Alzheimer's patients from normal elderly controls", Neurobiol Aging, 29, pp.23~30 (2008)
  13. Dickerson BC, "MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults", Neurology, 78, pp.84~90 (2012)
  14. Dickerson BC, "Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults", Neurology, 76, pp.1395~1402 (2011)
  15. Doré V, "Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease", JAMA Neurol, 70, pp.903~911 (2013)
  16. Bakkour A, "The cortical signature of prodromal AD: regional thinning predicts mild AD dementia", Neurology, 72, pp.1048~1055 (2009)
  17. Eskildsen SF, "Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning", Neuroimage, 65, pp.511~521 (2013)
  18. Querbes O, "Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve", Brain, 132, pp.2036~2047 (2009)
  19. Yesavage JA, "Development and validation of a geriatric depression screening scale: a preliminary report", J Psychiatr Res, 17, pp.37~49 (1982)
  20. Petersen RC, "Mild cognitive impairment as a diagnostic entity", J Intern Med, 256, pp.183~194 (2004)
  21. Dubois B, "Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria", Lancet Neurol, 6, pp.734~746 (2007)
  22. Dale AM, "Cortical surface-based analysis. I. Segmentation and surface reconstruction", Neuroimage, 9, pp.179~194 (1999)
  23. Peter J, "Gray matter atrophy pattern in elderly with subjective memory impairment", Alzheimers Dement, 10, pp.99~108 (2014)
  24. Schultz SA, "Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle-aged adults at risk for AD", Alzheimers Dement (Amst), 1, pp.33~40 (2015)
  25. Meiberth D, "Cortical thinning in individuals with subjective memory impairment", J Alzheimers Dis, 45, pp.139~146 (2015)
  26. Becker JA, "Amyloid-β associated cortical thinning in clinically normal elderly", Ann Neurol, 69, pp.1032~1042 (2011)
  27. Fortea J, "Cognitively preserved subjects with transitional cerebrospinal fluid ß-amyloid 1-42 values have thicker cortex in Alzheimer's disease vulnerable areas", Biol Psychiatry, 70, pp.183~190 (2011)
  28. 강성훈, "The Cortical Neuroanatomy Related to Specific Neuropsychological Deficits in Alzheimer's Continuum", Dementia and Neurocognitive Disorders(대한치매학회지), 18(3), pp.77~95 (2019), 대한치매학회[DOI]
  29. Panizzon MS, "Genetic and environmental influences of white and gray matter signal contrast: a new phenotype for imaging genetics?", Neuroimage, 60, pp.1686~1695 (2012)
  30. Shaw ME, "Cortical thinning at midlife: the PATH through life study", Brain Topogr, 29, pp.875~884 (2016)
  31. Govindarajan KA, "Cortical thickness in mild traumatic brain injury", J Neurotrauma, 33, pp.1809~1817 (2016)
  32. Erickson KI, "Physical activity, fitness, and gray matter volume", Neurobiol Aging, 35(Suppl 2), pp.S20~S28 (2014)
  33. Storsve AB, "Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change", J Neurosci, 34, pp.8488~8498 (2014)
  34. Scheef L, "Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment", Neurology, 79, pp.1332~1339 (2012)
  35. Collie A, "The neuropsychology of preclinical Alzheimer's disease and mild cognitive impairment", Neurosci Biobehav Rev, 24, pp.365~374 (2000)
  36. Ownby RL, "Depression and risk for Alzheimer disease: systematic review, meta-analysis, and metaregression analysis", Arch Gen Psychiatry, 63, pp.530~538 (2006)
  37. Pettigrew C, "Cortical thickness in relation to clinical symptom onset in preclinical AD", Neuroimage Clin, 12, pp.116~122 (2016)

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