title: Evaluation of laser speckle flowmetry for imaging cortical perfusion in experimental stroke studies: quantitation of perfusion and detection of peri-infarct depolarisations.
abstract: Laser speckle imaging of the exposed cerebral cortex allows detailed examination of the time course and topography of perfusion under different experimental conditions. Here we examine the quantitative capacity of the method and its sensitivity for the detection of peri-infarct depolarisations (PIDs). In four cats anaesthetised with chloralose, the right hemisphere was exposed and the right middle cerebral artery was occluded. The brain was illuminated with a laser diode, the speckle pattern was imaged, and images of inverse speckle correlation time (ICT) were derived from the calculated speckle contrast images. We examined the relationship of ICT with perfusion, as imaged quantitatively using umbelliferone clearance (CBF(umb)). Values of ICT and CBF(umb) were compared and regression parameters were calculated for each experiment. In eight cats, cortical surface direct current (DC) potential was monitored at two locations and detection of PIDs by DC potential and ICT change was compared. ICT- and CBF(umb)-derived values of perfusion were closely correlated, with a high degree of significance (P<0.0001). Overall, monitoring of DC potential detected 90% of PIDs, whereas ICT detected 56%. We conclude that (1) laser speckle imaging provides an index of perfusion that has a linear relationship with the clearance rate of umbelliferone within the range of levels of perfusion examined; (2) this relationship is relatively stable between experiments; and (3) the method's ability to detect blood flow changes associated with PIDs likely depends on the noise level of the speckle measurements.
authors.affiliation: King's College London, Department of Clinical Neurosciences (Neurosurgery), London, UK. Anthony.strong@kcl.ac.uk
authors.forename: Anthony J
authors.initials: AJ
authors.lastname: Strong
authors.forename: Elizabeth Lindsey
authors.initials: EL
authors.lastname: Bezzina
authors.forename: Peter J B
authors.initials: PJ
authors.lastname: Anderson
authors.forename: Martyn G
authors.initials: MG
authors.lastname: Boutelle
authors.forename: Sarah E
authors.initials: SE
authors.lastname: Hopwood
authors.forename: Andrew K
authors.initials: AK
authors.lastname: Dunn
mesh_terms: D000818:Animals; D001783:Blood Flow Velocity; D002415:Cats; D002540:Cerebral Cortex / Q000033:anatomy & histology / Q000502:physiology; D002560:Cerebrovascular Circulation; D004195:Disease Models, Animal; D004594:Electrophysiology; D007091:Image Processing, Computer-Assisted; D020244:Infarction, Middle Cerebral Artery; D017078:Laser-Doppler Flowmetry / Q000379:methods*; D012039:Regional Blood Flow; D020521:Stroke / Q000473:pathology*; D014468:Umbelliferones / Q000378:metabolism
chemical_list: D014468:Umbelliferones; C031477:7-hydroxycoumarin