OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. To cite this version : Guibert, Romain and Fonta, Caroline and Plouraboué, Franck From cerebral blood flow modeling to vascular units map in primate cortex.

We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI, but are discussed with particular reference to PET images which represent changes in cerebral blood flow elicited by a specific cognitive or sensorimotor task. Our main result is an estimate of the ...

This paper addresses the issue of the functional correlates of motor imagery, using mental chronometry, monitoring the autonomic responses and measuring cerebral blood flow in humans. The timing of mentally simulated actions closely mimic actual movement times. Autonomic responses during motor imagery parallel the autonomic responses to actual exercise. Cerebral blood flow increases are observe...

Neurovascular coupling refers to the relationship between local neural activity and subsequent changes in cerebral blood flow (CBF). The magnitude and spatial location of blood flow changes are tightly linked to changes in neural activity through a complex sequence of coordinated events involving neurons, glia, and vascular cells. Many vascular-based functional brain imaging techniques, such as...

An accurate elastic model of the human craniocervical arteries has been developed to study flow characteristics in normal and abnormal states (Kerber et al., paper presented at the annual meeting of the American Society of Neuroradiology, Orlando, March 1989). Flow perturbations at various Reynolds numbers can be created easily and the effects evaluated by observing the flow streamlines directl...

Quantification of cerebral blood flow (CBF) and the tissue residue function (R) using bolus-tracking MRI requires deconvolution of the arterial input function (AIF). Currently, the most commonly used deconvolution method is singular value decomposition (SVD), which has been shown to produce accurate estimations of CBF. However, this method introduces unwanted oscillations in the time course of ...