The Whole Picture: From Isolated to Global MRI Measures of Neurovascular and Neurodegenerative Disease
- PMID: 31894568
- DOI: 10.1007/978-3-030-31904-5_3
The Whole Picture: From Isolated to Global MRI Measures of Neurovascular and Neurodegenerative Disease
Abstract
Structural magnetic resonance imaging (MRI) has been used to characterise the appearance of the brain in cerebral small vessel disease (SVD), ischaemic stroke, cognitive impairment, and dementia. SVD is a major cause of stroke and dementia; features of SVD include white matter hyperintensities (WMH) of presumed vascular origin, lacunes of presumed vascular origin, microbleeds, and perivascular spaces. Cognitive impairment and dementia have traditionally been stratified into subtypes of varying origin, e.g., vascular dementia versus dementia of the Alzheimer's type (Alzheimer's disease; AD). Vascular dementia is caused by reduced blood flow in the brain, often as a result of SVD, and AD is thought to have its genesis in the accumulation of tau and amyloid-beta leading to brain atrophy. But after early seminal studies in the 1990s found neurovascular disease features in around 30% of AD patients, it is becoming recognised that so-called "mixed pathologies" (of vascular and neurodegenerative origin) exist in many more patients diagnosed with stroke, only one type of dementia, or cognitive impairment. On the back of these discoveries, attempts have recently been made to quantify the full extent of degenerative and vascular disease in the brain in vivo on MRI. The hope being that these "global" methods may one day lead to better diagnoses of disease and provide more sensitive measurements to detect treatment effects in clinical trials. Indeed, the "Total MRI burden of cerebral small vessel disease", the "Brain Health Index" (BHI), and "MRI measure of degenerative and cerebrovascular pathology in Alzheimer disease" have all been shown to have stronger associations with clinical and cognitive phenotypes than individual brain MRI features. This chapter will review individual structural brain MRI features commonly seen in SVD, stroke, and dementia. The relationship between these features and differing clinical and cognitive phenotypes will be discussed along with developments in their measurement and quantification. The chapter will go on to review emerging methods for quantifying the collective burden of structural brain MRI findings and how these "whole picture" methods may lead to better diagnoses of neurovascular and neurodegenerative disorders.
Keywords: Brain MRI; Dementia; Neurodegeneration; Neurovascular disease; Stroke.
Similar articles
-
Only White Matter Hyperintensities Predicts Post-Stroke Cognitive Performances Among Cerebral Small Vessel Disease Markers: Results from the TABASCO Study.J Alzheimers Dis. 2017;56(4):1293-1299. doi: 10.3233/JAD-160939. J Alzheimers Dis. 2017. PMID: 28157096 Clinical Trial.
-
Structural network efficiency predicts cognitive decline in cerebral small vessel disease.Neuroimage Clin. 2020;27:102325. doi: 10.1016/j.nicl.2020.102325. Epub 2020 Jun 25. Neuroimage Clin. 2020. PMID: 32622317 Free PMC article.
-
Neuropsychiatric Correlates of Small Vessel Disease Progression in Incident Cognitive Decline: Independent and Interactive Effects.J Alzheimers Dis. 2020;73(3):1053-1062. doi: 10.3233/JAD-190999. J Alzheimers Dis. 2020. PMID: 31884482
-
Lesion location and cognitive impact of cerebral small vessel disease.Clin Sci (Lond). 2017 Apr 25;131(8):715-728. doi: 10.1042/CS20160452. Clin Sci (Lond). 2017. PMID: 28385827 Review.
-
Neuropathology of Vascular Brain Health: Insights From Ex Vivo Magnetic Resonance Imaging-Histopathology Studies in Cerebral Small Vessel Disease.Stroke. 2022 Feb;53(2):404-415. doi: 10.1161/STROKEAHA.121.032608. Epub 2022 Jan 10. Stroke. 2022. PMID: 35000425 Free PMC article. Review.
Cited by
-
The effects of CNS atrophy and ICVD on tests of executive function and functional status are mediated by intelligence.Cereb Circ Cogn Behav. 2023 Sep 15;5:100184. doi: 10.1016/j.cccb.2023.100184. eCollection 2023. Cereb Circ Cogn Behav. 2023. PMID: 37811522 Free PMC article.
References
-
- Akoudad S, Wolters FJ, Viswanathan A et al (2016) Association of cerebral microbleeds with cognitive decline and dementia. JAMA Neurol. https://doi.org/10.1001/jamaneurol.2016.1017 - DOI - PubMed - PMC
-
- Ali M, Philip MWB, Curram J et al (2007) The Virtual International Stroke Trials Archive. Stroke 38:1905–1910. https://doi.org/10.1161/STROKEAHA.106.473579 - DOI - PubMed
-
- Aribisala BS, Valdés Hernández MC, Royle NA et al (2012) Brain atrophy associations with white matter lesions in the ageing brain: the Lothian Birth Cohort 1936. Eur Radiol. https://doi.org/10.1007/s00330-012-2677-x . https://doi.org/10.1007/s00330-012-2677-x
-
- Aronson MK, Ooi WL, Geva DL et al (1991) Dementia: age-dependent incidence, prevalence, and mortality in the old old. Arch Intern Med 151:989–992. https://doi.org/10.1001/archinte.1991.00400050129024 - DOI - PubMed
-
- Bakker ENTP, Bacskai BJ, Arbel-Ornath M et al (2016) Lymphatic clearance of the brain: perivascular, paravascular and significance for neurodegenerative diseases. Cell Mol Neurobiol 36:181–194. https://doi.org/10.1007/s10571-015-0273-8 - DOI - PubMed - PMC
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical