An anatomy-based lumped parameter model of cerebrospinal venous circulation: Can an extracranial anatomical change impact intracranial hemodynamics?

Stefania Marcotti, Lara Marchetti, Pietro Cecconi, Emiliano Votta, G. Beniamino Fiore, Antonello Barberio, Stefano Viotti, Alberto Redaelli, Maria Marcella Laganà

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Background: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. Methods: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille's law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female=42/70; median age±standard deviation=43.7±10.5 years) was retrospectively analyzed. Results: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female=10/11; mean age±standard deviation=31±11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. Conclusions: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics.

Original languageEnglish
Article number95
JournalBMC Neurology
Volume15
Issue number1
DOIs
Publication statusPublished - Jun 23 2015

Fingerprint

Jugular Veins
Drainage
Veins
Anatomy
Hemodynamics
Central Nervous System Diseases
Intracranial Pressure
Multiple Sclerosis
Pathologic Constriction
Spine
Magnetic Resonance Spectroscopy
Databases
Brain

Keywords

  • Blood flow
  • Blood pressure
  • Cerebrovascular circulation
  • Nervous system
  • Veins

ASJC Scopus subject areas

  • Clinical Neurology

Cite this

An anatomy-based lumped parameter model of cerebrospinal venous circulation : Can an extracranial anatomical change impact intracranial hemodynamics? / Marcotti, Stefania; Marchetti, Lara; Cecconi, Pietro; Votta, Emiliano; Fiore, G. Beniamino; Barberio, Antonello; Viotti, Stefano; Redaelli, Alberto; Laganà, Maria Marcella.

In: BMC Neurology, Vol. 15, No. 1, 95, 23.06.2015.

Research output: Contribution to journalArticle

Marcotti, Stefania ; Marchetti, Lara ; Cecconi, Pietro ; Votta, Emiliano ; Fiore, G. Beniamino ; Barberio, Antonello ; Viotti, Stefano ; Redaelli, Alberto ; Laganà, Maria Marcella. / An anatomy-based lumped parameter model of cerebrospinal venous circulation : Can an extracranial anatomical change impact intracranial hemodynamics?. In: BMC Neurology. 2015 ; Vol. 15, No. 1.
@article{7d162011fff7479d83d371343fe7a4ec,
title = "An anatomy-based lumped parameter model of cerebrospinal venous circulation: Can an extracranial anatomical change impact intracranial hemodynamics?",
abstract = "Background: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. Methods: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille's law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female=42/70; median age±standard deviation=43.7±10.5 years) was retrospectively analyzed. Results: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female=10/11; mean age±standard deviation=31±11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. Conclusions: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics.",
keywords = "Blood flow, Blood pressure, Cerebrovascular circulation, Nervous system, Veins",
author = "Stefania Marcotti and Lara Marchetti and Pietro Cecconi and Emiliano Votta and Fiore, {G. Beniamino} and Antonello Barberio and Stefano Viotti and Alberto Redaelli and Lagan{\`a}, {Maria Marcella}",
year = "2015",
month = "6",
day = "23",
doi = "10.1186/s12883-015-0352-y",
language = "English",
volume = "15",
journal = "BMC Neurology",
issn = "1471-2377",
publisher = "BioMed Central",
number = "1",

}

TY - JOUR

T1 - An anatomy-based lumped parameter model of cerebrospinal venous circulation

T2 - Can an extracranial anatomical change impact intracranial hemodynamics?

AU - Marcotti, Stefania

AU - Marchetti, Lara

AU - Cecconi, Pietro

AU - Votta, Emiliano

AU - Fiore, G. Beniamino

AU - Barberio, Antonello

AU - Viotti, Stefano

AU - Redaelli, Alberto

AU - Laganà, Maria Marcella

PY - 2015/6/23

Y1 - 2015/6/23

N2 - Background: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. Methods: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille's law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female=42/70; median age±standard deviation=43.7±10.5 years) was retrospectively analyzed. Results: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female=10/11; mean age±standard deviation=31±11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. Conclusions: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics.

AB - Background: The relationship between extracranial venous system abnormalities and central nervous system disorders has been recently theorized. In this paper we delve into this hypothesis by modeling the venous drainage in brain and spinal column areas and simulating the intracranial flow changes due to extracranial morphological stenoses. Methods: A lumped parameter model of the cerebro-spinal venous drainage was created based on anatomical knowledge and vessels diameters and lengths taken from literature. Each vein was modeled as a hydraulic resistance, calculated through Poiseuille's law. The inputs of the model were arterial flow rates of the intracranial, vertebral and lumbar districts. The effects of the obstruction of the main venous outflows were simulated. A database comprising 112 Multiple Sclerosis patients (Male/Female=42/70; median age±standard deviation=43.7±10.5 years) was retrospectively analyzed. Results: The flow rate of the main veins estimated with the model was similar to the measures of 21 healthy controls (Male/Female=10/11; mean age±standard deviation=31±11 years), obtained with a 1.5 T Magnetic Resonance scanner. The intracranial reflux topography predicted with the model in cases of internal jugular vein diameter reduction was similar to those observed in the patients with internal jugular vein obstacles. Conclusions: The proposed model can predict physiological and pathological behaviors with good fidelity. Despite the simplifications introduced in cerebrospinal venous circulation modeling, the key anatomical feature of the lumped parameter model allowed for a detailed analysis of the consequences of extracranial venous impairments on intracranial pressure and hemodynamics.

KW - Blood flow

KW - Blood pressure

KW - Cerebrovascular circulation

KW - Nervous system

KW - Veins

UR - http://www.scopus.com/inward/record.url?scp=84934912351&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84934912351&partnerID=8YFLogxK

U2 - 10.1186/s12883-015-0352-y

DO - 10.1186/s12883-015-0352-y

M3 - Article

AN - SCOPUS:84934912351

VL - 15

JO - BMC Neurology

JF - BMC Neurology

SN - 1471-2377

IS - 1

M1 - 95

ER -