Table 2.

Case-control studies investigating social cognitive performance in remitted major depressive disorder.

Reference	Aim	Method	N [MA ± SD; M:F]	Social cognition task	Mood diagnosis	Results
Anderson et al. (23)	To compare accuracy, discrimination, and bias in face recognition in current and remitted depression	Case-control GP sample	MDE = 30, rMDD = 99, HC = 101 [33.1 ± 10.5; 71M:159F]	FERT	DSM-IV	rMDD more accurate on facial affect recognition for anger compared to HC (P < 0.05) and anger, fear and sadness compared to MDE (P < 0.01)
Bhagwagar et al. (43)	To assess facial affect recognition in depression and the affects of citalopram on performance	Randomized, placebo-controlled, double-blind, between-group Clinical sample	rMDD = 20, HC = 20 [37.3 ± 3.7; 0M:80F]	FERT	DSM-IV	rMDD showed a selectively greater recognition of fear relative to HC (F1,18 = 6.7, P = 0.02), but not for other expressions
LeMoult et al. (44)	To investigate the identification of affective facial expressions in remitted depression	Case-control Community sample	rMDD = 39, HC = 56 [43.5 ± 5.6; 0M:95F]	FEEST	DSM-IV	rMDD performed better than HC on facial affect recognition (F1,93 = 4.96, P < 0.05) and required significantly greater emotional intensity to identify happy expressions than HC (t93 = 3.34, P < 0.01)

DSM-IV, diagnostic and statistical manual of mental disorders-IV; FEEST, facial expressions of emotion: stimuli and tests; FERT, facial expression recognition task; HC, healthy controls; ICD-10, international classification of diseases, 10th Revision; MA ± SD, participants’ mean age and standard deviation; MDE, major depressive episode; M:F, ratio of male to female participants; N, number of participants; rMDD, remitted major depressive disorder.