Table 1 Demographic and clinical characteristics of the AUD participants in the study in the meta-analysis
From: Lower regional grey matter in alcohol use disorders: evidence from a voxel-based meta-analysis
Study | AUD patients | Â | Â | Â | Â | Healthy controls | Â | Methodology | Â | Â | |
|---|---|---|---|---|---|---|---|---|---|---|---|
No. (male) | Mean age, yr | Diagnosis | Diagnosis criteria | Abstinence or not (abstinence duration) | No. (male) | Mean age, yr | MRI scanner | Smooth kernel | Volume or density | Corrected level | |
Jang et al. (2007) | 20 (20) | 43.6 (6) | Alcohol-dependence | DSM-IV | Yes (7.8 days)2 | 20 (20) | 44.5 (7.4) | 3.0 T | 8 | density | FDR, p < 0.05 |
Mechtcheriakov et al.(2007) | 22 (14) | 53.6 | Alcohol addiction | ICD-10 | Yes (10 days)2 | 22 (14) | 53.7 | 1.5 T | 10 | volume | FDR, p < 0.05 |
Chanraud et al. (2007) | 26 (26) | 47.7 (7.1) | Alcohol-dependence | DSM-IV | Yes (3 weeks)2 | 24 (24) | 45 (6.7) | 1.5 T | 8 | volume | FDR p < 0.005 |
Chanraud et al. (2009) | 24 (24) | 47.8 (7.7) | Alcohol-dependence | DSM-IV | Yes (3 weeks)2 | 24 (24) | 45 (5.6) | 1.5 T | Ns | volume | Not mention |
Demirakca et al. (2011) | 50 (27) | 45 (10.1) | Alcohol-dependence | DSM-IV &ICD-10 | Yes(16.5 days)2 | 66 (34) | 44.1 (10.3) | 1.5 T | 8 | volume | FWE, p < 0.05 |
Rando et al.(2011) | 55(35) | 38.2 | alcohol-dependent | DSM-IV | Yes(1 month)1 | 50(28) | 31.14 | Ns | 8 | volume | FWE,p < 0.025 |
Grodin et al.(2012) | 37(21) | 40.2(9.2) | alcoholics | DSM-IV | Yes(21.5 days)2 | 69(47) | 36.6(1.1) | 1.5 T | 3 | volume | p < 0.01 |
van Holst et al. (2012) | 36 (36) | 43.2 (11.03) | AUD | DSM-IV-TR | Yes (18 days)2 | 54 (54) | 35.3 (10.1) | 3.0 T | 8 | volume | FDR, p < 0.05 |
Howell et al. (2013) | 19 (7) | 22.95 (3.41) | Alcohol Abuse | AADC | Yes (24 h)2 | 19 (7) | 24.63 (4.40) | 3.0 T | 10 | volume | K = 19, p < 0.05 |
Charlet et al.(2014) | 40(30) | 44.9(11.4) | alcohol-dependent | DSM-IV | Yes(11.4 days)2 | 40(30) | 44.1(12.0) | 3.0 T | 8 | volume | FWE,p < 0.05 |
Asensio et al.(2015) | 24(24) | 35.62(4.81) | alcohol abuse | DSM-IV | Yes (3 days)2 | 24(24) | 31.91(9.3) | 1.5 T | 8 | volume | p < 0.05 |
Padula et al.(2015) | 14(6) | 43.21 (9.13) | Alcohol-dependent | DSM-IV | Yes (1 month)2 | 14(5) | 37.57 (12.08) | 3.0 | 10 | volume | Not mention |
Romanczuk-Seiferth(2015) | 15(15) | 45.40 (10.15) | alcohol-dependent | ICD-10&DSM-IV | Yes(42 days)2 | 17(17) | 37.41 (11.76) | Ns | 8 | volume | Not mention |
Wiers et al.(2015) | 22(22) | 42.14(6.20) | alcohol dependence | DSM-IV | Yes(48 days)2 | 21(21) | 41.95(6.4) | 3.0 T | 10 | volume | FWE,p < 0.005 |
Wang et al.(2016) | 20(20) | 43.95(8.17) | alcohol dependence | DSM-IV | Yes (1 month)2 | 20(20) | 40.5(6.30) | 3.0 T | 8 | volume | FWE,P < 0.05 |
Guggenmos et al.(2017) | 119(101) | 45(10.7) | AD | DSM-IV-TR&ICD-10 | Yes(22.8 days)2 | 97(81) | 43.7(10.8) | 3.0 T | 8 | volume | FWE, p < 0.05 |
Bach et al.(2017) | 74(55) | 46.55(10.02) | alcohol-dependent | DSM | Yes(2.5 days)2 | 43(27) | 46.49(9.2) | 3.0 T | 8 | volume | FWE,p < 0.05 |
Zois et al.(2017) | 95(71) | 45.9(9.9) | AD | DSM-IV | Yes(11.7 days)2 | 87(71) | 45.9(10.6) | 3.0 T | 8 | volume | FWE,p < 0.05 |
Wu et al.(2018) | 9(5) | 47(11.2) | alcohol-dependent | Not mention | Yes(14 days)2 | 22(13) | 44.9(9.5) | 3.0 T | 8 | volume | FWE,p < 0.05 |
Wang et al.(2018) | 21(21) | 45.95 (7.07) | alcohol dependence | DSM-IV | Yes(50.58 days)2 | 33(33) | 42.88 (6.05) | 3.0 T | 8 | volume | FWE,p < 0.05 |
Li et al.(2019) | 20(17) | 49(12) | alcohol addiction | ICD-10 | Not mention | 20(17) | 49(12) | 3.0 T | 8 | volume | Not mention |
Bach et al.(2020) | 62(48) | 25.8(4.4) | alcohol-dependent | DSM-IV | Yes(11.77 days)2 | 74(58) | 44.12(9.6) | 3.0 T | 15 | volume | FWE,p < 0.05 |
Galandra et al.(2020) | 22(13) | 45.59 (7.99) | Alcohol Use Disorder | DSM-V | Yes(28 days)2 | 18(10) | 44.83 (8.86) | 3.0 T | 8 | density | FWE,p < 0.05 |