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Table 2 AD-driven scenarios of neuronal dysfunction and the corresponding model parameters changes

From: A multiscale brain network model links Alzheimer’s disease-mediated neuronal hyperactivity to large-scale oscillatory slowing

Scenario

Parameter

Parameter description

Parameter value

AD-mediated pathology

Control condition

AD-like scenario

Contrast scenario

Pyramidal neuronal hyperactivity

1A

Vd1

Threshold potential of excitatory populations

7

6

8

A lower Vd1 value causes the excitatory populations to become hyperexcitable

1B

he(t) function (a1 and b1)

Excitatory post-synaptic potential (EPSP)

a1: 55

b1: 605

a1: 48

b1: 540

a1: 62

b1: 670

Increasing parameters a and b of the he(t) function will increase the postsynaptic excitatory amplitude and duration of both the excitatory and inhibitory populations

1C

S

Global coupling factor

1.5

2.0

1.0

A higher global coupling factor results in stronger excitatory output (E(t)) multiplication and thus increased excitatory innervation of the excitatory population in the coupled neural masses

Inhibitory neuronal dysfunction

2A

Vd2

Threshold potential of inhibitory populations

7

8

6

A higher Vd2 value causes the inhibitory populations to become hypoexcitable

2B

hi(t) function (a2 and b2)

Inhibitory post-synaptic potential (IPSP)

a2: 27.5

b2: 55

a2: 40

b2: 70

a2: 17.5

b2: 35

Higher values of parameters a and b of the hi(t) function will decrease the postsynaptic inhibitory amplitude and duration in the excitatory populations

2C

C2

Coupling from inhibitory to excitatory populations

3

2

4

A lower C2 value will decrease the inhibitory to excitatory coupling