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Fig 1.

Brain fluid transport scheme.

Scheme of blood and CSF transport in the brain parenchyma.

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Fig 1 Expand

Fig 2.

MRI data.

Brain MRI saggital scan from one of the volunteer.

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Fig 2 Expand

Fig 3.

Geometry of the computational domain.

Geometries of the computational domain for four volunteers.

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Fig 3 Expand

Table 1.

Values used in the model Eqs (1)–(13).

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Table 1 Expand

Table 2.

Parameters used in the model Eqs (1)–(13).

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Table 2 Expand

Fig 4.

Values of bopt and .

Values of bopt and of the first 25 models for four volunteers.

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Fig 4 Expand

Fig 5.

Values of the Akaike information criterion.

Values of the Akaike information criterion of the first 25 models for four volunteers.

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Fig 5 Expand

Fig 6.

Regression models coefficients.

Regression coefficients of the first 25 models for four volunteers.

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Fig 6 Expand

Table 3.

MLR model result for four volunteers.

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Table 3 Expand

Table 4.

Additional characteristics of the base regression model for four volunteers.

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Table 4 Expand

Fig 7.

Dependence of pc on gxy.

Capillary pressure dependence on the logarithmic interaction parameters.

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Fig 7 Expand

Fig 8.

Dependence of on the gxy.

Mean ventricular wall displacement dependence on the logarithmic interaction parameters.

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Fig 8 Expand

Fig 9.

Values of estimation of the regression models.

Values of regression coefficients.

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Fig 9 Expand

Fig 10.

The regression terms for normal pressure hydrocephalus.

Possible regression terms for normal pressure hydrocephalus.

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Fig 11.

The regression terms for intracranial hypertension.

Possible regression terms for intracranial hypertension.

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Fig 11 Expand

Fig 12.

The regression terms for replacement ventriculomegaly on the background of prolonged hypoperfusion.

Possible regression terms for replacement ventriculomegaly under a prolonged hypoperfusion.

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Fig 12 Expand