Brain imaging of neurovascular dysfunction in Alzheimer’s disease
Open accessAbstract
Neurovascular dysfunction, including blood-brain barrier (BBB) breakdown and cerebral blood flow (CBF) dysregulation and reduction, are increasingly recognized to contribute to Alzheimer's disease (AD). The spatial and temporal relationships between different pathophysiological events during preclinical stages of AD, including cerebrovascular dysfunction and pathology, amyloid and tau pathology, and brain structural and functional changes remain, however, still unclear. Recent advances in neuroimaging techniques, i.e., magnetic resonance imaging (MRI) and positron emission tomography (PET), offer new possibilities to understand how the human brain works in health and disease. This includes methods to detect subtle regional changes in the cerebrovascular system integrity. Here, we focus on the neurovascular imaging techniques to evaluate regional BBB permeability (dynamic contrast-enhanced MRI), regional CBF changes (arterial spin labeling- and functional-MRI), vascular pathology (structural MRI), and cerebral metabolism (PET) in the living human brain, and examine how they can inform about neurovascular dysfunction and vascular pathophysiology in dementia and AD. Altogether, these neuroimaging approaches will continue to elucidate the spatio-temporal progression of vascular and neurodegenerative processes in dementia and AD and how they relate to each other.
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Increasing evidence supports that early cerebrovascular dysfunction contributes to AD pathophysiology and cognitive impairment.
“In addition to the classic hallmark pathology, A 𝛃 plaques, hyperphosphorylated tau neurofibrillary tangles, and neuron loss, increasing evidence supports that early cerebrovascular dysfunction contributes to AD pathophysiology and cognitive impairment (29, 285, 418, 421, 429, 569, 571, 593, 682, 693).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [418]
Patlak analysis allows detection of subtle changes in BBB permeability.
“These studies used Patlak analysis (46, 47, 466), which allows detection of subtle changes in BBB permeability (46, 248, 418, 421).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [418]
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- Authors
- Montagne, A., Nation, D. A., Pa, J., Sweeney, M. D., Toga, A. W., & Zlokovic, B. V.
- Affiliations
- University of Southern California (US)
- Venue
- Acta Neuropathologica
- Published
- 2016-04-01
- Volume
- 131
- Issue
- 5
- Pages
- 687-707
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC5283382
- OpenAlex
- W2334742858
- Cited by
- 239
- References
- 30
- Citations by year
- 2026: 13 · 2025: 25 · 2024: 22 · 2023: 20 · 2022: 22 · 2021: 33 · 2020: 31 · 2019: 25 · 2018: 17 · 2017: 18 · 2016: 13
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Acta Neuropathologica (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (R37NS34467, R37AG23084, R01AG039452, R01AG046928, P41EB015922)
- Alzheimer's Association (NIRP12259277)
- Topics
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, neurovascular dysfunction, blood-brain barrier permeability, cerebral blood flow, cerebrovascular dysfunction, amyloid pathology, tau pathology, dynamic contrast-enhanced MRI, arterial spin labeling, functional MRI, brain metabolism, dementia, preclinical Alzheimer's disease, vascular pathophysiology
- MeSH terms
- Alzheimer Disease, Animals, Blood-Brain Barrier, Brain, Humans, Central Nervous System Vascular Malformations, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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