• No results found

Cerebral blood flow regulation : control and physiology

N/A
N/A
Protected

Academic year: 2021

Share "Cerebral blood flow regulation : control and physiology"

Copied!
2
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Cerebral blood flow regulation : control and physiology

Citation for published version (APA):

Martens, E. G. H. J., Gommer, E. D., Reulen, J. P. H., & Vosse, van de, F. N. (2008). Cerebral blood flow regulation : control and physiology. Poster session presented at Mate Poster Award 2008 : 13th Annual Poster Contest.

Document status and date: Published: 01/01/2008 Document Version:

Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.

• The final author version and the galley proof are versions of the publication after peer review.

• The final published version features the final layout of the paper including the volume, issue and page numbers.

Link to publication

General rights

Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain

• You may freely distribute the URL identifying the publication in the public portal.

If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, please follow below link for the End User Agreement:

www.tue.nl/taverne Take down policy

If you believe that this document breaches copyright please contact us at: openaccess@tue.nl

providing details and we will investigate your claim.

(2)

Cerebral blood flow regulation:

control & physiology

Esther Martens, Erik Gommer, Jos Reulen, Frans van de Vosse

Cardiovascular Biomechanics and fluid dynamics

Department of Biomedical Engineering

Introduction

Neurovascular Coupling (NVC) is the control mechanism which adjusts the cerebral blood flow to the local metabolic need. For example, a visual stimulus results in a higher metabolic need and thus increased blood flow to and in the visual cortex.

Fig 1. Transcranial Doppler Ultrasonography

When blood flow velocity to the visual cortex is measured by Transcranial Doppler Ultrasonography (TCD, fig. 1) of the posterior cerebral artery (PCA), the blood flow respons to a visual step stimulus can have different time courses:

Type 1 Type 2 Type 3

Fig. 2 The three types of responses measured in humans Type 1: generally found in healthy subjects

Type 2 & 3: mainly found in case of endothelial dysfunction Type 3: thought to be related to increased vessel stiffness.

Research Questions

1. Are abnormal time courses due to changes in the passive physiological system or to active control? 2. How can the finding of the abnormal responses,

type II and type III, be explained physiologically?

Method

Control

The measured blood flow response to a visual step can be fitted with the step response of a 2nd order control system, so that control system parameters can be obtained.

Fig 3. The NVC mechanism described as 2ndorder control system However, the input-output relation or transfer function does not reveal which part is responsible for the control and what part for the passive system. The transfer function can be split by assuming different controllers with accesory system. The resulting responses will be evaluated.

Fig 4. The transfer function split in control and system part

Physiology

The perfusion of the visual cortex is provided by one supplying vessel, the P2 segment of the PCA, and the microcirculation. These may be modelled by a simple lumped parameter model.

Fig 5. Simple lumped parameter model of the visual cortex vasculature

Coupling

The information from the control system approach can be incorperated in the physiological lumped parameter model. Control system information may be linked to physiology, so that data interpretation by physicians is facilitated.

SOP + - error input output + + Pgain D d/dt L R C Cp Ra Z0

Supplying vessel

Microcirculation

P

b

(t)

activation L R C Cp Ra Z0

Supplying vessel

Microcirculation

P

b

(t)

L R

C Cp Ra

Z0

Supplying vessel

Microcirculation

L R C Cp Ra Z0 L R L R C C CCpp Ra Z0

Supplying vessel

Microcirculation

P

b

(t)

activation activation off on 1 s 2 s ) s * Tv 1 ( K ) s ( H 2 2 + ϖ ξ + ϖ + =

Input Controlsystem Output

1 s 2 s ) s * Tv 1 ( K ) s ( H 2 2 + ϖ ξ + ϖ + =

Referenties

GERELATEERDE DOCUMENTEN

Management control theories are used to elaborate the concept of management control and to describe management control practice at Unilever. Furthermore cash flow

To be precise, LIA contributes to four benefits for INBUS, namely (1) the use of LIA eliminates the need of having an employee who has high competency in accounting, (2) the

Bepaling van de sterkte en de stijfheid van werktuigkundige constructies met behulp van de methode der eindige elementen.. (DCT

(How- ever, we are reminded of the no free lunch (NFL) theorems for optimization (Wolpert and Macready, 1997), which establish that all algorithms that search for the optimum of

In summary, the non-empirical, qualitative research design of a qualified systematic literature review is used to answer the research objectives.. The research design of this

The authors used phase-contrast M RI in 40 NO TCH3 mutation carriers (mean age 45 ± 10 years) and 22 nonmutated family members (mean age 39 ± 12 years), to

If WMH were responsible for the age-related volumetric MTR changes that we observed in the brain, differences in MTR values would have been expected between the elderly subjects

The combined observations of more structural brain damage and lower cerebral blood fl ow in demented elderly individuals than in subj ects of the same age with