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Bidirectional Control of Absence Seizures by the Basal Ganglia: A Computational Evidence
Figure 4
Control of absence seizures by the isolated SNr-SRN pathway.
A, B: The state analysis (A) and frequency analysis (B) in the (
) panel. Here 
is the inhibitory coupling strength of the TRN-SRN pathway, whereas 
is the excitatory coupling strength of the STN-SNr pathway. Similar to previous results, four different dynamical state regions are observed: the saturation region (I), the SWD oscillation region (II), the simple oscillation region (III) and the low firing region (IV), which correspond to those defined in Fig. 2 (D). The region between two white dashed lines in (A) represents the suppression region of SWDs, where the white up arrow indicates that the SWD oscillation can be inhibited by increasing 
. The yellow asterisk region surrounded by black dashed lines in (B) denotes the typical 2–4 Hz SWD oscillation region. C: Two different types of SWD suppressions caused by linearly increasing 
. Top (C1): The value of 
as a function of time. Middle (C2): Corresponding 
trace for 
. Bottom (C3): Corresponding 
trace for 
. D: The MFRs of several key neural populations as a function of 
, with 
. Here four neural populations are considered: SNr (blue dot), excitatory pyramidal neurons (green asterisk), SRN (black circle) and TRN (red square). The black dashed line in (D) represents the occurring position of TMFR. E: The TMFR as a function of 
. Note that the SNr-TRN pathway is artificially blocked (i.e., 
) for all simulations.
doi: https://doi.org/10.1371/journal.pcbi.1003495.g004