본문 바로가기
KERD
논문KCI 등재

Reduced Gray Matter Volume in Subjective Cognitive Decline: A Voxel-Based Morphometric Study

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류신경과학

초록

Background and Purpose Subjective cognitive decline has been proposed as a potential indicator of the preclinical state of Alzheimer’sdisease (AD). The results of the studies of cortical atrophy on brain MRIs in subjects with subjective cognitive decline are inconsistent acrossthe literatures. We investigated whether subjects with subjective cognitive decline had less gray matter volume compared to controls withoutsubjective cognitive decline as per brain MRI. Methods Thirty-six subjects with subjective cognitive decline and thirty-three controls without subjective cognitive decline were recruitedretrospectively from among the patients who had visited the department of neurology at Inha University Hospital between January 2008 andDecember 2010. All subjects had undergone a brain MRI scan including 3D T1-weighted spoiled gradient recalled echo imaging. We usedvoxel-based morphometry (VBM) to examine gray matter volumes between the two groups, after controlling for age, sex, education, and totalintracranial volumes (TIV). Results There were no significant differences in age, gender, education, and TIV between the two groups. In comparison to controls withoutsubjective cognitive decline, subjects with subjective cognitive decline showed gray matter atrophy in the left superior and medial frontalgyri, left superior and inferior parietal lobules, and right precuneus and insular in the VBM analysis. Conclusions Individuals with subjective cognitive decline encountered in clinical settings have greater similarity to an AD gray matter atrophypattern compared with cognitively normal individuals without subjective cognitive decline.

Abstract

Background and Purpose Subjective cognitive decline has been proposed as a potential indicator of the preclinical state of Alzheimer’sdisease (AD). The results of the studies of cortical atrophy on brain MRIs in subjects with subjective cognitive decline are inconsistent acrossthe literatures. We investigated whether subjects with subjective cognitive decline had less gray matter volume compared to controls withoutsubjective cognitive decline as per brain MRI. Methods Thirty-six subjects with subjective cognitive decline and thirty-three controls without subjective cognitive decline were recruitedretrospectively from among the patients who had visited the department of neurology at Inha University Hospital between January 2008 andDecember 2010. All subjects had undergone a brain MRI scan including 3D T1-weighted spoiled gradient recalled echo imaging. We usedvoxel-based morphometry (VBM) to examine gray matter volumes between the two groups, after controlling for age, sex, education, and totalintracranial volumes (TIV). Results There were no significant differences in age, gender, education, and TIV between the two groups. In comparison to controls withoutsubjective cognitive decline, subjects with subjective cognitive decline showed gray matter atrophy in the left superior and medial frontalgyri, left superior and inferior parietal lobules, and right precuneus and insular in the VBM analysis. Conclusions Individuals with subjective cognitive decline encountered in clinical settings have greater similarity to an AD gray matter atrophypattern compared with cognitively normal individuals without subjective cognitive decline.

참고문헌 (23)

  1. Lista S, "Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline", J Alzheimers Dis, 48(Suppl 1), pp.S171~S191 (2015)
  2. Mitchell AJ, "The clinical significance of subjective memory complaints in the diagnosis of mild cognitive impairment and dementia: a meta-analysis", Int J Geriatr Psychiatry, 23, pp.1191~1202 (2008)
  3. Sperling RA, "Toward defining the preclinical stages of Alzheimer’s disease:recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease", Alzheimers Dement, 7, pp.280~292 (2011)
  4. Jessen F, "A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease", Alzheimers Dement, 10, pp.844~852 (2014)
  5. Mitchell AJ, "Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis", Acta Psychiatr Scand, 130, pp.439~451 (2014)
  6. Kim JM, "Subjective memory impairment, cognitive function and depression--a community study in older Koreans", Dement Geriatr Cogn Disord, 15, pp.218~225 (2003)
  7. 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)
  8. Jessen F, "Volume reduction of the entorhinal cortex in subjective memory impairment", Neurobiol Aging, 27, pp.1751~1756 (2006)
  9. 홍윤정, "Gray and White Matter Degenerations in Subjective Memory Impairment: Comparisons with Normal Controls and Mild Cognitive Impairment", Journal of Korean Medical Science, 30(11), pp.1652~1658 (2015), 대한의학회
  10. Hong JY, "Cognitive and cortical thinning patterns of subjective cognitive decline in patients with and without Parkinson’s disease", Parkinsonism Relat Disord, 20, pp.999~1003 (2014)
  11. Mosconi L, "Hypometabolism and altered cerebrospinal fluid markers in normal apolipoprotein E E4 carriers with subjective memory complaints", Biol Psychiatry, 63, pp.609~618 (2008)
  12. 안현정, "Seoul Neuropsychological Screening Battery-Dementia Version (SNSB-D): A Useful Tool for Assessing and Monitoring Cognitive Impairments in Dementia Patients", Journal of Korean Medical Science, 25(7), pp.1071~1076 (2010), 대한의학회
  13. Christensen KJ, "A cognitive battery for dementia: development and measurement characteristics", J Consult Clin Psychol, 3, pp.168~174 (1991)
  14. Bae JN, "Development of the Korean version of the Geriatric Depression Scale and its short form among elderly psychiatric patients", J Psychosom Res, 57, pp.297~305 (2004)
  15. Fazekas F, "MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging", AJR Am J Roentgenol, 149, pp.351~356 (1987)
  16. Peter J, "Gray matter atrophy pattern in elderly with subjective memory impairment", Alzheimers Dement, 10, pp.99~108 (2014)
  17. Sperling RA, "Amyloid deposition is associated with impaired default network function in older persons without dementia", Neuron, 63, pp.178~188 (2009)
  18. Frisoni GB, "The clinical use of structural MRI in Alzheimer disease", Nat Rev Neurol, 6, pp.67~77 (2010)
  19. Chhatwal JP, "Impaired default network functional connectivity in autosomal dominant Alzheimer disease", Neurology, 81, pp.736~744 (2013)
  20. Mutschler I, "Functional organization of the human anterior insular cortex", Neurosci Lett, 457, pp.66~70 (2009)
  21. Nagai M, "Insular cortex and neuropsychiatric disorders:a review of recent literature", Eur Psychiatry, 22, pp.387~394 (2007)
  22. Royall DR, "Insular Alzheimer disease pathology and the psychometric correlates of mortality", Cleve Clin J Med, 75(Suppl 2), pp.S97~S99 (2008)
  23. Moon Y, "Pathomechanisms of atrophy in insular cortex in Alzheimer’s disease", Am J Alzheimers Dis Other Demen, 30, pp.497~502 (2015)

관련 논문AI추천

Different Cortical Thinning Patterns Depending on Their Prognosis in Individuals with Subjective Cognitive Decline류선영, 심용수, 양동원, 조아현, 홍윤정, Eun Ye Lim대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2019 · 제18권 제4호화소 기반 형태분석 방법을 이용한 경도인지장애 환자의 회백질 용적감소의 정량적 분석유보은, 이창욱, 임현국, 한창태, 홍승철대한생물정신의학회 · 생물정신의학2011 · 제18권 제4호Decreased Cortical Thickness and Local Gyrification in Individuals with Subjective Cognitive Impairment정현강, Cheol E. Han, Daegyeom Kim, HyunChul Youn, Myungwon Choi, Sangil Suh, Suji Lee대한정신약물학회 · Clinical Psychopharmacology and Neuroscience2021 · 제19권 제4호Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Selfreport Questionnaire and Neuroimaging Biomarkers박경원, 홍윤정, Do-Young Kang, Jae-Hong Lee대한치매학회 · Dementia and Neurocognitive Disorders(대한치매학회지)2019 · 제18권 제1호화소 기반 형태분석 방법을 이용한 알츠하이머 치매환자의 회백질 용적감소의 정량적 분석이철, 백인호, 이창욱, 임현국, 최은형대한생물정신의학회 · 생물정신의학2008 · 제15권 제2호Regional Quantitative Magnetic Resonance Imaging Data Improve Screening Accuracy of Subjective Memory Complaints and Informant Reports of Cognitive DeclineByun Min Soo, Lee Dong Young, Sung Kiyoung, Yi Dahyun, Yim Seon Jin대한신경정신의학회 · PSYCHIATRY INVESTIGATION2020 · 제17권 제9호

이 간행물의 다른 논문 (7건)