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Spatiotemporal analysis of renal autoregulation
Author(s) -
Scully Christopher G.,
Cupples William A.,
Gorbach Alexander M.,
Braam Branko,
Chon Ki H.
Publication year - 2011
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.25.1_supplement.lb624
Subject(s) - autoregulation , synchronization (alternating current) , phase (matter) , amplitude , biomedical engineering , computer science , physics , medicine , optics , channel (broadcasting) , telecommunications , blood pressure , quantum mechanics
Laser speckle perfusion imaging was used to study vascular interactions among nephrons in relation to renal autoregulation on physiologically relevant spatial and temporal scales. Surface images of stabilized rat kidneys were collected with a moorFLPI imager (Moor Instruments, UK) at a sampling rate of 1 Hz. High resolution time‐frequency spectra (TFS) were generated for each pixel after application of a 2D spatial filter. The maximum amplitude from each TFS within the two autoregulation frequency ranges (tubuloglomerular feedback: 0.02 – 0.05 Hz and the myogenic mechanism: 0.1 – 0.3 Hz) were found at each time point, and the corresponding instantaneous frequency and phase were extracted. Frequency maps at each time point were constructed to visualize how autoregulation is organized across the kidney surface. Time‐varying, wide‐radius synchronization in the form of frequency‐locked pixels was observed. The reported methods can be used to study the synchronization of nephrons and the autoregulatory components involved. It can also be used to study pathophysiological consequences of loss of synchronization. This research was supported by CIHR MOP‐102694 and the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering, NIH.