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. 2022 Apr 18;13:841514. doi: 10.3389/fneur.2022.841514

Table 2.

Methodological characteristics included in the study.

First author (year) Diagnostic criteria MRI scanner Methods MRI head coil Research types NOS quality score
Xin Du (32) Young's Diagnostic Questionnaire for IA Siemens MRI scanner (3T) FCD Case-control 5
Qi Feng (33) (1) DSM-IV
(2) The modified Diagnostic Questionnaire for IA criteria by Beard
GE MRI scanner (3T) CBF Standard Case-control 6
Xu Han (34) The modified Diagnostic Questionnaire for IA criteria by Beard GE MRI scanner (3T) ALFF, seed-based FC Standard Case-control 5
Heejung Kim (16) (1) DSM-V
(2) YIAT
Philips MRI scanner (3T) ReHo Standard Case-control 7
Jun Liu (13) The modified Diagnostic Questionnaire for IA criteria by Beard Siemens MRI scanner (3T) ReHo Standard Case-control 5
Lu Liu (35) Siemens MRI scanner (3T) FC Case-control 5
Yawen Sun (14) The modified Diagnostic Questionnaire for IA criteria by Beard GE MRI scanner (3T) ALFF, seed-based FC Standard Case-control 6
Yao Wang (15) (1) DSM-IV
(2) The modified Diagnostic Questionnaire for Internet Addiction criteria by Beard
GE MRI scanner (3T) FC Standard Case-control 6
Lubin Wang (36) The modified Diagnostic Questionnaire for IA criteria by Beard Philips MRI scanner (3T) ICA Case-control 8
Yang Wang (37) Young's Diagnostic Questionnaire for IA GE MRI scanner (3T) FCD Standard Case-control 6

ALFF, amplitude of low-frequency fluctuation; CBF, cerebral blood flow; DSM, the diagnostic and statistical manual of mental disorders; FC, functional connectivity; FCD, functional connectivity density; IGD, Internet gaming disorder; IA, internet addiction; IAD, internet addiction disorder; ICA, independent component analysis; IGA, internet gaming addiction; NOS, Newcastle-Ottawa scale; PIU, pathological Internet use; ReHo, regional homogeneity; YIAT, young's Internet addiction test.