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. 2019 Oct 9;13:199. doi: 10.3389/fnbeh.2019.00199

Table 5.

Predicting unique reward-related neural deficits in depression.

Outcome: depression score
Model 1: SPNresid Model 2: Fb-P3resid
Covariates
    Task order −0.04 −0.06
    Age −0.11 −0.07
    Gender −0.06 −0.04
    Ethnicity 0.14 0.13
SID ERPs
    SPNresid 0.20 -
    Fb-P3resid positive - −0.25*
    Social Outcomes
MID ERPs
    SPNresid 0.06 -
    Fb-P3resid monetary gains - 0.00

Note: columns represent separate regression models wherein analogous ERPs across MID and SID were entered as simultaneous predicts of depression. Gender was coded as 0 = Male, 1 = Female. Ethnicity was coded as 0 = Hispanic, 1 = Other. Regression coefficients are denoted using standardized beta weights. SPN amplitude reflects a slow, sustained negativity; therefore, a positive beta weight with CES-D denotes the reverse association. *p < 0.05.