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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