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. 2014 Dec 11;5:179. doi: 10.3389/fpsyt.2014.00179

Table 1.

Case-control studies investigating differences in social cognitive performance between patients with major depressive disorder and controls.

References Aim Method N [MA ± SD; M:F] Social cognition task Mood diagnosis Results
(A) STUDIES INDICATING SIGNIFICANT DIFFERENCES BETWEEN ACUTELY DEPRESSED INDIVIDUALS AND HEALTHY CONTROLS
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 Significant difference between MDE, rMDD, and HC groups on facial affect recognition accuracy (F2,225 = 5.340, P = 0.005)
Cao et al. (21) To investigate social cognitive performance in esophageal cancer patients with depression Case-control pMDD = 32, npMDD = 33, HC = 62 n = 127 [33.1 ± 10.5; 71M:159F] RMET-R, FPT BDI-II Compared to HC, both MDD groups were impaired on affective ToM (t = 7.39, P < 0.01) and faux pas task (t = 13.75, P < 0.01)
Esophageal cancer patient sample
Csukly et al. (24) To determine if depressed patients perceive emotion differently to controls and if this is due to emotional intensity and arousal Case-control Clinical sample MDD = 23, HC = 23 [48.4 ± 12.5; 18M:28F] VHI DSM-IV, ICD-10 MDD impaired at recognizing facial expressions compared to HC (F46 = 6.76, P = 0.02), particularly at low intensity or arousal
Csukly et al. (25) To identify associations between depressive severity, maladaptive schemas, and facial affect recognition Case-control Inpatient sample MDD = 107, HC = 23 [41.1 ± 11.3; 16M:90F] VHI DSM-IV MDD impaired at recognizing facial expressions compared to HC (t = 5.2, P < 0.0001)
Donges et al. (26) To examine emotional awareness in depressed inpatients following a psychotherapy program Prospective longitudinal case-control Inpatient sample MDD = 22, HC = 22 [32.1 ± 8.6; 14M:30F] LEAS DSM-IV MDD performed inferiorly to HC at emotional awareness of others (F1,42 = 5.5, P < 0.05)
Performance of the MDD group improved over the 7 weeks of treatment (F1,42 = 5.6, P < 0.05)
Harkness et al. (27) To determine if maternal history of depression impacts affective ToM performance Case-control Outpatient sample MDD = 61, HC = 30 [45.3 ± 14.5; 0M:91F] RMET-R DSM-IV MDD performed significantly worse on affective ToM task than HC (F1,91 = 6.73, P = 0.01)
Langenecker et al. (28) To evaluate emotion perception deficits in depressed women Outpatient sample Case-control MDD = 21, HC = 20 [30.9 ± 9.2; 0M:41F] FEPT BDI-II, HRSD MDD performed inferiorly to HC in facial affect recognition accuracy (F1,38 = 6.40, P = 0.02)
Lee et al. (29) To examine depressed patients’ abilities to identify mental states from affective eye expressions Case-control Outpatient sample MDD = 67, HC = 34 [42.7 ± 14.1; 0M:82F] RMET-R DSM-IV Severe MDD less accurate than HC on affective ToM task (t65 = 2.24, P = 0.03); no difference between mild/moderate MDD and HC or MDD groups
Leppänen et al. (30) To determine if depression biases the recognition of emotionally neutral faces Case-control Inpatient sample MDD = 18, HC = 18 [44.9 ± 9.9; 14M:22F] PFA ICD-10 MDD worse than HC in facial affect recognition accuracy (F1,34 = 9.1, P < 0.006), due to misidentification of neutral faces (t34 = 4.8, P < 0.001)
Surguladze et al. (31) To investigate the accuracy and response bias of depressed people to affective facial expressions Case-control Clinical sample MDD = 27, HC = 29 [45.0 ± 11.6; 24M:32F] FEEST DSM-IV MDD worse than HC in facial affect recognition accuracy (F1,42 = 26.2, P < 0.01)
Szily and Kéri (32) To determine the impact of psychosis risk in depression on social cognition Case-control Clinical sample prMDD = 26, MDD = 42, HC = 50 [21.2 ± 7.3; 44M:73F] RMET-R DSM-IV prMDD and MDD were less accurate than HC on RMET-R (F2,230 = 10.30, P < 0.001)
Wang et al. (8) To determine if psychotic features in depression impact social cognitive performance Case-control Inpatient sample pMDD = 23, npMDD = 33, HC = 53 [26.8 ± 4.4; 47M:62F] RMET-R, FPT ICD-10 On RMET-R, pMDD inferior to both npMDD (P = 0.018) and HC (P = 0.000), npMDD superior to HC (P = 0.000)
On FPT, HC superior to both pMDD (U = 0.000, P = 0.000) and npMDD (U = 128.500, P = 0.000), pMDD inferior to npMDD (U = 149.500, P = 0.000)
Wolkenstein et al. (2) To investigate difference in social cognitive performance between depressed patients and controls Case-control Outpatient sample MDD = 24, HC = 20 [36.4 ± 10.8; 19M:25F] RMET-R, MASC DSM-IV MDD inferior to HC in performance on MASC (F1,42 = 4.57, P < 0.05), but equal on RMET-R (F1,42 = 0.74, P < 0.40)
Zobel et al. (33) To compare social cognitive performance between depressed patients and controls Case-control Clinical sample MDD = 30, HC = 30 [46.5 ± 12.0; 27M:33F] BCPS DSM-IV MDD inferior to HC in BCPS sequence (U = 242.5, P = 0.001), FOQ (U = 294.0, P = 0.004), SOQ (U = 183.5, P = 0.001); and WE.EL sequence (U = 282.0, P = 0.012), FOQ (U = 297.0, P = 0.016), SOQ (U = 234.0, P = 0.001)
WE.EL
(B) STUDIES INDICATING NON-SIGNIFICANT DIFFERENCES BETWEEN ACUTELY DEPRESSED INDIVIDUALS AND HEALTHY CONTROLS
Bazin et al. (7) To evaluate a new social cognitive task in a clinical sample Case-control Inpatient sample MDD = 12, HC = 15 [36.6 ± 12.8; 36M:21F] V-SIR, ToM comic DSM-IV MDD performed non-significantly worse on V-SIR compared to HC. No group effect for ToM comic test
Bediou et al. (34) To compare how depressed and schizophrenic patients recognize facial affect Case-control Clinical sample MDD = 20, HC = 20 [32.9 ± 9.8; 42M:27F] Self-created DSM-IV MDD and HC performed equally well on facial affect recognition
Bertoux et al. (20) To evaluate a new social cognitive task to distinguish depression from frontotemporal dementia Case-control Inpatient sample MDD = 19, HC = 30 [65.1 ± 9.0; 47M:39F] Mini-SEA (PFA, sFPT) DSM-IV On total mini-SEA and component scores, MDD performed equally to HC
Gollan et al. (35) To identify differences in affective information processing between depressed patients and controls Case-control Clinical sample MDD = 37, HC = 29 [35.1 ± 9.3; 34M:32F] PFA DSM-IV MDD and HC performed equally in facial affect recognition and intensity categorization
Gollan et al. (36) To investigate how depressed patients interpret facial affect of differing intensity Case-control Clinical sample MDD = 44, HC = 44 [29.5 ± 9.8; 33M:55F] PFA DSM-IV No significant main effect for group (MDD vs. HC) on facial affect recognition accuracy
Joorman and Gotlib (37) To examine depression-specific biases in identification of affective facial expressions Case-control Outpatient sample MDD = 23, SP = 27, HC = 26 [31.9 ± 9.4; 21M:51F] FEEST DSM-IV MDD, SP, and HC performed equally on facial affect recognition
Matthews et al. (38) To examine amygdala-cingulate functional coupling in depression during an emotional face matching task Case-control Community sample MDD = 15, HC = 16 [24.4 ± 5.3; 9M:22F] PFA DSM-IV No difference between MDD and HC for accuracy or reaction time on face matching task
Seidel et al. (39) To measure automatic behaviors toward affective facial expressions in depression Case-control Inpatient sample MDD = 24, HC = 24 [42.4; 24M:24F] VERT-K DSM-IV MDD and HC performed equally well on facial affect recognition
Suslow et al. (40) To examine spatial detection of facial emotion in depressed inpatients undergoing psychotherapy Prospective longitudinal case-control Inpatient sample MDD = 11, MDD/AD = 11, HC = 22 [32.1 ± 8.3; 14M:30F] FITCT DSM-IV Both MDD groups performed equally to HC in spatial detection of facial affect, at two time points
Performance did not significantly improve in either group over the 7 weeks
Suslow et al. (41) To assess awareness of masked facial expressions and automatic amygdala responses in depression Case-control Inpatient sample MDD = 30, HC = 26 [37.5 ± 12.4; 29M:27F] PFA DSM-IV MDE and HC did not differ in performance when rating the valence of the masked facial expressions
Wilbertz et al. (22) To explore preoperational features of ToM in depression Case-control Clinical sample MDD = 16, HC = 16 [43.7 ± 11.2; 16M:16F] MASC DSM-IV MDD and HC performed equally on MASC multiple choice (t30 = 0.01, P = 0.924) and open answers (t30 = 0.03, P = 0.980)

AD, anxiety disorder; BCPS, Brüne’s cartoon picture story test; BDI-II, Beck depression inventory-II; DSM-IV, diagnostic and statistical manual of mental disorders-IV; FEEST, facial expressions of emotion: stimuli and tests; FEPT, facial emotion and perception test; FERT, facial expression recognition task; FITCT, face-in-the-crowd task; FOQ, first order question; FPT, faux pas task; GP, general practice; HC, healthy controls; HRSD, Hamilton rating scale for depression; ICD-10, international classification of diseases, 10th revision; LEAS, levels of emotional awareness scale; MASC, movie for the assessment of social cognition; MA ± SD, participants’ mean age and standard deviation; MDD, major depressive disorder; MDE, major depressive episode; M:F, ratio of male to female participants; Mini-SEA, mini-social cognition and emotional assessment; N, number of participants; npMDD, non-psychotic major depressive disorder; PFA, Ekman and Friesen’s pictures of facial affect; pMDD, psychotic major depressive disorder; rMDD, remitted major depressive disorder; prMDD, major depressive disorder with psychosis risk; RMET-R, reading the mind in the eyes task, revised; sFPT, shortened faux pas task; SOQ, second-order question; SP, social phobia; ToM, theory of mind; WE.EL, Werden and Elikann test; VERT-K, Vienna emotion recognition tasks; VHI, virtual human interface; V-SIR, Versailles – situational intention reading.