… , and contrast with structural models of psychopathology that are … and diminutions of pathology
over time (Forbes et al., 2017). … network modeling technique that maps contemporaneous …

… that we have covered here reduce the data to contemporaneous and lagged (usually just
lag-of-one time-point) associations. Moreover, they all assume stationarity and equilibrium (ie, …

… field of psychopathology closer to personalized care [10,11]. … models do not allow for changes
over time in the network … other modeling choices (eg, the inclusion of contemporaneous …

… -level contemporaneous (time point t) and temporal (from time … models assume that the
network structure does not change over time (assumption of stationarity), whereas an important …

… In this paper, we refer to such networks as temporal networks. … point to the next) and
representations of contemporaneous … the network approach as one road into personalized clinical …

… of individual contemporaneous symptom networks over a one… symptom networks over time
with changes in psychopathology in a … Personalized ESM monitoring and feedback to support …

… importance of focusing on the transdiagnostic elements of heterogeneity, variation across
time … interpersonal situations, such that contemporaneous associations are those that capture …

… network based on multiple time points to be based on ‘time-series’ data, thus incorporating
change score networks … , and can be used to inform contemporaneous and temporal (lagged) …

… medical conceptualization of psychopathology. See Figure 1 for … importance of both temporal
and contemporaneous effects in … are a potentially revolutionary way to inform personalized …

… temporal or contemporaneous relationships) or statistical model (ie, Bayesian VAR) used in
this paper. As such, it is important … to establishing personalized models survives issues of the …