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Jimenez, E. G.

Publications and source records attributed to Jimenez, E. G..

2 recordsLinked to original sources

Per-ischemic changes in penumbral blood supply and its microscopic distribution

Acute ischemic stroke (AIS) is a frequent cause of death and adult disability. AIS patient management targets the ischemic penumbra: Hypoperfused, electrically silent brain tissue, which can be salvaged by restoring blood flow during the first, critical hours after symptom onset. Neuroimaging studies in AIS patients suggest that penumbral tissue is characterized not only by hypoperfusion, but also by microvascular flow disturbances that strongly affect tissue outcome. Here, we demonstrate that microvascular flows become increasingly chaotic in the ischemic penumbra in the hours after middle cerebral artery occlusion in a rat model of AIS. Biophysical models suggest that these disturbances are accompanied by increasing hypoxia in the absence of blood flow changes. Unlike findings in severe ischemia, pericyte constrictions do not appear to occlude penumbral capillaries. We propose that microvascular flow disturbances represent a critical feature of penumbral tissue, and a potential target for neuroprotective therapy after AIS.

neuroscience↗

Capillary stall quantification from optical coherence tomography angiogram maximum intensity projections

Optical coherence tomography (OCT) is applicable to the study of cerebral microvasculature in vivo. Optimised acquisition schemes enable the generation of three-dimensional OCT angiograms, i.e., volumetric images of red blood cell flux in capillary networks, currently at a repetition rate of up to 1/10 seconds. This makes testable a new class of hypotheses that strive to bridge the gap between microscopic phenomena occurring at the spatial scale of neurons, and less invasive but crude techniques to measure macroscopic blood flow dynamics. Here we present a method for quantifying the occurrence of transient capillary stalls in OCT angiograms, i.e., events during which blood flow through a capillary branch is temporarily occluded. By making the assumption that information on such events is present predominantly in the imaging plane, we implemented a pipeline that automatically segments a network of interconnected capillaries from the maximum intensity projections (MIP) of a series of 3D angiograms. We then developed tools enabling rapid manual assessment of the binary flow status (open/stalled) of hundreds of capillary segments based on the intensity profile of each segment across time. The entire pipeline is optimized to run on a standard laptop computer, requiring no high-performance, low-availability resources, despite very large data volumes. To further reduce the threshold of adoption, and ultimately to support the development of reproducible research methods in the young field, we provide the documented code for scrutiny and re-use under a permissive open-source license.

neuroscience↗