Table 2 Posterior probability measures per group per resting-state scan.

From: Corticostriatal pathways contribute to the natural time course of positive mood

Group

Model

Prior

Acute

Sustained

HC

mPFC→VS

0.968 (0.773)

0.043

0.046

 

mPFC←VS

<0.001

<0.001

<0.001

 

mPFC↔VS

0.032

0.957 (0.493)

0.954 (0.629)

rMDD

mPFC→VS

1.000 (0.986)

1.000 (0.781)

1.000 (0.779)

 

mPFC←VS

<0.001

<0.001

<0.001

 

mPFC↔VS

<0.001

<0.001

<0.001

  1. HC, healthy controls; mPFC, medial prefrontal cortex; rMDD, remitted individuals with a history of recurrent major depressive disorder; VS, ventral striatum.
  2. Posterior probability values can range from 0 to 1 to represent the probability of a particular model being the best compared with any other model given the group data. Values in bold represent Bayesian model selection (BMS) for the best fitting model per groups per resting state scan. Bayesian parametric averaging (BPA) in parenthesis represent effect sizes for the best fitting model per group per time point. Accordingly, controls exhibit a shift towards a reciprocal pattern of corticostriatal effective connectivity following the mood induction, which was sustained over time. In rMDD individuals, despite experiencing an acute increase in positive mood, the best fitting model to account for corticostriatal connectivity did not change over time.
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