Abstract:Aging is the largest risk factor for neurodegenerative disorders, and commonly associated with compromised cerebrovasculature and pericytes. However, we do not know how normal aging differentially impacts the vascular structure and function in different brain areas. Here we utilize mesoscale microscopy methods (serial two-photon tomography and light sheet microscopy) and in vivo imaging (wide field optical spectroscopy and two-photon imaging) to determine detailed changes in aged cerebrovascular networks. Whol… Show more
“…Further, our data emphasizes the importance of gaining a holistic view of blood flow changes across cortical layers, since a limited view of the upper cortex results in an incomplete understanding of blood flow deficit. Coupled with the broad view provided by light-sheet microscopy 18 , in vivo studies can now hone into specific brain regions most vulnerable during aging and disease.…”
Section: Discussionmentioning
confidence: 99%
“…15 Reduction in vascular density during aging, particularly in white matter, is widely reported and may be the basis for tissue deterioration. [16][17][18] The etiology of these changes is difficult to understand in the human brain because of limitations in resolution of clinical imaging. This has emphasized a need for in vivo preclinical imaging studies that can provide insight on the pathophysiological basis of age-related white matter loss.…”
mentioning
confidence: 99%
“…15 Reduction in vascular density during aging, particularly in white matter, is widely reported and may be the basis for tissue deterioration. [16][17][18] The etiology of these changes is difficult to understand in the human brain because of limitations in resolution of clinical imaging. This has emphasized a need for in vivo preclinical imaging studies that can provide insight on the pathophysiological basis of age-related white matter loss.To better understand age-related changes in the brain microvasculature, we leveraged recent advances in deep multi-photon imaging that substantially increase imaging depths beyond conventional two-photon imaging by reducing light scattering and out-of-focus excitation.…”
The gradual loss of cerebral white matter contributes to cognitive decline during aging. However, microvascular networks that support the metabolic demands of white matter remain poorly defined. We used in vivo deep multi-photon imaging to characterize microvascular networks that perfuse cortical layer 6 and corpus callosum, a highly studied region of white matter in the mouse brain. We show that these deep tissues are exclusively drained by sparse and wide-reaching venules, termed principal cortical venules, which mirror vascular architecture at the human cortical-U fiber interface. During aging, capillary networks draining into deep branches of principal cortical venules are selectively constricted, reduced in density, and diminished in pericyte numbers. This causes hypo-perfusion in deep tissues, and correlates with gliosis and demyelination, whereas superficial tissues become relatively hyper-perfused. Thus, age-related impairment of capillary-venular drainage is a key vascular deficit that contributes to the unique vulnerability of cerebral white matter during brain aging.
“…Further, our data emphasizes the importance of gaining a holistic view of blood flow changes across cortical layers, since a limited view of the upper cortex results in an incomplete understanding of blood flow deficit. Coupled with the broad view provided by light-sheet microscopy 18 , in vivo studies can now hone into specific brain regions most vulnerable during aging and disease.…”
Section: Discussionmentioning
confidence: 99%
“…15 Reduction in vascular density during aging, particularly in white matter, is widely reported and may be the basis for tissue deterioration. [16][17][18] The etiology of these changes is difficult to understand in the human brain because of limitations in resolution of clinical imaging. This has emphasized a need for in vivo preclinical imaging studies that can provide insight on the pathophysiological basis of age-related white matter loss.…”
mentioning
confidence: 99%
“…15 Reduction in vascular density during aging, particularly in white matter, is widely reported and may be the basis for tissue deterioration. [16][17][18] The etiology of these changes is difficult to understand in the human brain because of limitations in resolution of clinical imaging. This has emphasized a need for in vivo preclinical imaging studies that can provide insight on the pathophysiological basis of age-related white matter loss.To better understand age-related changes in the brain microvasculature, we leveraged recent advances in deep multi-photon imaging that substantially increase imaging depths beyond conventional two-photon imaging by reducing light scattering and out-of-focus excitation.…”
The gradual loss of cerebral white matter contributes to cognitive decline during aging. However, microvascular networks that support the metabolic demands of white matter remain poorly defined. We used in vivo deep multi-photon imaging to characterize microvascular networks that perfuse cortical layer 6 and corpus callosum, a highly studied region of white matter in the mouse brain. We show that these deep tissues are exclusively drained by sparse and wide-reaching venules, termed principal cortical venules, which mirror vascular architecture at the human cortical-U fiber interface. During aging, capillary networks draining into deep branches of principal cortical venules are selectively constricted, reduced in density, and diminished in pericyte numbers. This causes hypo-perfusion in deep tissues, and correlates with gliosis and demyelination, whereas superficial tissues become relatively hyper-perfused. Thus, age-related impairment of capillary-venular drainage is a key vascular deficit that contributes to the unique vulnerability of cerebral white matter during brain aging.
“…Molecular studies in Col4a1 -mutant mice suggest that arterial SMC loss is driven by increased TGF-β activity, whereas the hypermuscularization of the ACT zone arises from increased NOTCH3 activity ( 65 , 68 ). Regarding the capillary bed, 2D and 3D imaging in rodents revealed a small reduction in vascular length, branching density, and pericyte number, particularly in deep cortical layers and WM, in aged brains ( 59 , 60 ). Pericyte coverage is reduced in Htra1 -KO mice but, in striking contrast, pericyte density and/or coverage are preserved in Notch3 -KO mice, Col4a1 -mutant mice, and mice carrying an Arg169Cys mutation in NOTCH3 (hereafter referred to as CADASIL mice) ( 64 , 67 , 73 , 74 ).…”
Section: Vascular Pathologymentioning
confidence: 99%
“…Brain arteries of aged rodents exhibit increased tortuosity ( 59 – 61 ). Age-related focal loss and degeneration of arterial SMCs can be detected in the superficial vascular network of the retina, a developmental extension of the brain that enables robust quantification at cellular resolution thanks to its stereotypical and planar angioarchitecture ( 62 ).…”
Cerebral small vessel disease (cSVD) encompasses a heterogeneous group of age-related small vessel pathologies that affect multiple regions. Disease manifestations range from lesions incidentally detected on neuroimaging (white matter hyperintensities, small deep infarcts, microbleeds, or enlarged perivascular spaces) to severe disability and cognitive impairment. cSVD accounts for approximately 25% of ischemic strokes and the vast majority of spontaneous intracerebral hemorrhage and is also the most important vascular contributor to dementia. Despite its high prevalence and potentially long therapeutic window, there are still no mechanism-based treatments. Here, we provide an overview of the recent advances in this field. We summarize recent data highlighting the remarkable continuum between monogenic and multifactorial cSVDs involving
NOTCH3
,
HTRA1
, and
COL4A1/A2
genes. Taking a vessel-centric view, we discuss possible cause-and-effect relationships between risk factors, structural and functional vessel changes, and disease manifestations, underscoring some major knowledge gaps. Although endothelial dysfunction is rightly considered a central feature of cSVD, the contributions of smooth muscle cells, pericytes, and other perivascular cells warrant continued investigation.
This research article quantitatively investigates neuro-microvascular network remodeling dynamics following stroke using a novel in vivo two-photon angiography (cubic millimeter volume, weekly snapshots) and high throughput (thousands of connected capillaries) vascular vectorization method. The results suggest distinct temporal patterns of cerebrovascular plasticity, with acute remodeling peaking at one week post-stroke. The network architecture then gradually stabilizes, returning to a new steady state after four weeks. These findings align with previous literature on neuronal plasticity, highlighting the correlation between neuronal and neurovascular remodeling. Quantitative analysis of neurovascular networks using length- and strand-based statistical measures reveals intricate changes in network anatomy and topology. The distance and strand-length statistics show significant alterations, with a peak of plasticity observed at one week post-stroke, followed by a gradual return to baseline. The orientation statistic plasticity peaks at two weeks, gradually approaching the (conserved across subjects) stroke signature. The underlying mechanism of the vascular response (angiogenesis vs. tissue deformation), however, is yet unelucidated, requiring network registration advancements. Overall, the combination of two-photon angiography, vectorization, reconstruction/visualization, and statistical analysis enables both qualitative and quantitative assessments of neurovascular remodeling dynamics, demonstrating an impactful method for investigating neuro-microvascular network disorders and the therapeutic modes of action thereof. Understanding the timing and nature of neurovascular remodeling allows for optimized interventions, including personalized medicine for stroke rehabilitation. Additionally, the evaluation of pharmaceutical interventions using these tools may facilitate targeted drug development. Furthermore, neurovascular coupling dynamics have implications for neurodegenerative diseases, brain aging, and the field of brain-computer interfaces.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.