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Local activation

BM Bernhard M. Meyer
UR Ulrich Rabl
JH Julia Huemer
LB Lucie Bartova
KK Klaudius Kalcher
JP Julian Provenzano
CB Christoph Brandner
PS Patrick Sezen
SK Siegfried Kasper
AS Alan F. Schatzberg
EM Ewald Moser
GC Gang Chen
LP Lukas Pezawas
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Second-level analysis of longitudinal activation data utilized a linear-mixed effects model (3dLME) that included first-order autocorrelations between consecutive sessions52,53. To find time-invariant prognostic predictors of DR, we calculated the DR main effect on neural activation across scan sessions13,30,31. To detect time-sensitive neural activation that could mediate DR, the interaction-term of DR and scan session was calculated13,30,31. All computed models further included age, gender, and scan session as nuisance variables. Random effects were defined for intercept and slope across scan sessions to improve generalizability54,55.

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