Impact of the Ventricle Size on Alzheimer’s Disease Progression: A Retrospective Longitudinal Study
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background and Purpose: Ventricle enlargement has been implicated in the pathophysiology of Alzheimer’s disease (AD). We studied the relationship between ventricular size and cognitive function in patients with AD. We focused on the effect of the initial ventricle size on the rate of cognitive decline in patients with AD. Methods: A retrospective analysis of probable clinical AD participants with more than 2 magnetic resonance imaging images was performed. To measure ventricle size, we used visual rating scales of (1) Cardiovascular Health Study (CHS) score and (2) conventional linear measurement method. Results: Increased clinical dementia rating (CDR) was correlated with a decreased Mini-Mental Status Examination (MMSE) score, and increased medial temporal lobe atrophy (MTLA) and global ventricle size (p<0.001, p<0.001, p=0.021, respectively). There was a significant correlation between the change in cognitive function in the group (70%–100%ile) with a large initial ventricle size (p=0.021 for ΔCDR, p=0.01 for ΔMMSE), while the median ventricle size (30%–70%ile) showed correlation with other brain structural changes (MTLA, frontal atrophy [FA], and white matter) (p=0.036 for initial MTLA, p=0.034 for FA). Conclusions: In this study, the initial ventricle size may be a potential new imaging biomarker for initial cognitive function and clinical progression in AD. We found a relationship between the initial ventricle size and initial AD-related brain structural biomarkers.
Abstract
Background and Purpose: Ventricle enlargement has been implicated in the pathophysiology of Alzheimer’s disease (AD). We studied the relationship between ventricular size and cognitive function in patients with AD. We focused on the effect of the initial ventricle size on the rate of cognitive decline in patients with AD. Methods: A retrospective analysis of probable clinical AD participants with more than 2 magnetic resonance imaging images was performed. To measure ventricle size, we used visual rating scales of (1) Cardiovascular Health Study (CHS) score and (2) conventional linear measurement method. Results: Increased clinical dementia rating (CDR) was correlated with a decreased Mini-Mental Status Examination (MMSE) score, and increased medial temporal lobe atrophy (MTLA) and global ventricle size (p<0.001, p<0.001, p=0.021, respectively). There was a significant correlation between the change in cognitive function in the group (70%–100%ile) with a large initial ventricle size (p=0.021 for ΔCDR, p=0.01 for ΔMMSE), while the median ventricle size (30%–70%ile) showed correlation with other brain structural changes (MTLA, frontal atrophy [FA], and white matter) (p=0.036 for initial MTLA, p=0.034 for FA). Conclusions: In this study, the initial ventricle size may be a potential new imaging biomarker for initial cognitive function and clinical progression in AD. We found a relationship between the initial ventricle size and initial AD-related brain structural biomarkers.
참고문헌 (28)
- Ferrarini L, "Shape differences of the brain ventricles in Alzheimer’s disease", Neuroimage, 32, pp.1060~1069 (2006)
- Blinkouskaya Y, "Brain shape changes associated with cerebral atrophy in healthy aging and Alzheimer’s disease", Front Mech Eng, 7, pp.705653~ (2021)
- Kaur J, "Waste clearance in the brain", Front Neuroanat, 15, pp.665803~ (2021)
- Lowery LA, "Totally tubular : the mystery behind function and origin of the brain ventricular system", BioEssays, 31, pp.446~458 (2009)
- Korzh V, "Development of brain ventricular system", Cell Mol Life Sci, 75, pp.375~383 (2018)
- Magdoom KN, "MRI of whole rat brain perivascular network reveals role for ventricles in brain waste clearance", Sci Rep, 9, pp.11480~ (2019)
- Madsen SK, "Mapping ventricular expansion onto cortical gray matter in older adults", Neurobiol Aging, 36(Suppl 1), pp.S32~S41 (2015)
- Coutu JP, "White matter changes are associated with ventricular expansion in aging, mild cognitive impairment, and Alzheimer’s disease", J Alzheimers Dis, 49, pp.329~342 (2016)
- Aisen PS, "On the path to 2025 : understanding the Alzheimer’s disease continuum", Alzheimers Res Ther, 9, pp.60~ (2017)
- Henriques AD, "Fluid and imaging biomarkers for Alzheimer’s disease : where we stand and where to head to", Exp Gerontol, 107, pp.169~177 (2018)
- Nestor SM, "Ventricular enlargement as a possible measure of Alzheimer’s disease progression validated using the Alzheimer’s disease neuroimaging initiative database", Brain, 131, pp.2443~2454 (2008)
- McKhann G, "Clinical diagnosis of Alzheimer’s disease : report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease", Neurology, 34, pp.939~944 (1984)
- Balsis S, "how do scores on the ADAS-Cog, MMSE, and CDR-SOB correspond?", Clin Neuropsychol, 29, pp.1002~1009 (2015)
- Manolio TA, "Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study", Stroke, 25, pp.318~327 (1994)
- Nagata K, "A quantitative study of physiological cerebral atrophy with aging. A statistical analysis of the normal range", Neuroradiology, 29, pp.327~332 (1987)
- Kim GH, "T1-axial medial temporal atrophy visual rating : a comparable study with Schelten’s T1-coronal visual rating", Dement Neurocogn Disord, 8, pp.37~44 (2009)
- Choi H, "Observational study of clinical and functional progression based on initial brain MRI characteristics in patients with Alzheimer’s disease", J Alzheimers Dis, 66, pp.1721~1730 (2018)
- Benedict RH, "Frontal cortex atrophy predicts cognitive impairment in multiple sclerosis", J Neuropsychiatry Clin Neurosci, 14, pp.44~51 (2002)
- Spires-Jones TL, "Interactions of pathological proteins in neurodegenerative diseases", Acta Neuropathol, 134, pp.187~205 (2017)
- Al-Janabi OM, "Global cerebral atrophy detected by routine imaging : relationship with age, hippocampal atrophy, and white matter hyperintensities", J Neuroimaging, 28, pp.301~306 (2018)
- Anderson VM, "Gray matter atrophy rate as a marker of disease progression in AD", Neurobiol Aging, 33, pp.1194~1202 (2012)
- Scahill RI, "A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging", Arch Neurol, 60, pp.989~994 (2003)
- Kuroda T, "Increased presence of cerebral microbleeds correlates with ventricular enlargement and increased white matter hyperintensities in Alzheimer’s disease", Front Aging Neurosci, 12, pp.13~ (2020)
- Verheggen IC, "Interaction between blood-brain barrier and glymphatic system in solute clearance", Neurosci Biobehav Rev, 90, pp.26~33 (2018)
- Yamada S, "Exploring mechanisms of ventricular enlargement in idiopathic normal pressure hydrocephalus : a role of cerebrospinal fluid dynamics and motile cilia", Fluids Barriers CNS, 18, pp.20~ (2021)
- Shprecher D, "Normal pressure hydrocephalus : diagnosis and treatment", Curr Neurol Neurosci Rep, 8, pp.371~376 (2008)
- Hoza D, "DTI-MRI biomarkers in the search for normal pressure hydrocephalus aetiology : a review", Neurosurg Rev, 38, pp.239~244 (2015)
- Crook JE, "Linear vs volume measures of ventricle size : relation to present and future gait and cognition", Neurology, 94, pp.e549~e556 (2020)