MATERIALS AND METHODS: A scoping review was performed to elaborate on the research regarding resting-state EEG and task-based EEG, particularly for Go/No-go paradigms pertaining to subjects with IAD or specifically IGD. The role of EEG was identified in its diagnostic capability to identify the salient changes that occurred in the response to reward network and the executive control network, using restingstate and task-based EEG. The implication of using EEG in monitoring the therapy for IAD and IGD was also reviewed.
RESULTS: EEG generally revealed reduced beta waves and increased theta waves in addicts. IGD with depression demonstrated increased theta and decreased alpha waves. Whereas increased P300, a late cognitive ERP component, was frequently associated with impaired excessive allocation of attentional resources of the IAD towards addiction-specific cues. IGD had increased whole brain delta waves at baseline, which showed significant reduction post therapy.
CONCLUSION: EEG can identify distinct neurophysiological changes among Internet Addiction Disorder and Internet Gaming Disorder that are akin to substance abuse disorders.
METHODS: Based on the initial screening, a total of 100 participants (n = 50 euthymic, n = 50 depressive) underwent 32-channel EEG acquisition. Simple logistic regression and C-statistic were used to explore if EEG power could be used to discriminate between the groups. The strongest EEG predictors of mood using multivariate logistic regression models.
RESULTS: Simple logistic regression analysis with subsequent C-statistics revealed that only high-alpha and beta power originating from the left central cortex (C3) have a reliable discriminative value (ROC curve >0.7 (70%)) for differentiating the depressive group from the euthymic group. Multivariate regression analysis showed that the single most significant predictor of group (depressive vs. euthymic) is the high-alpha power over C3 (p = 0.03).
CONCLUSION: The present findings suggest that EEG is a useful tool in the identification of neurophysiological correlates of depressive symptoms in young adults with no previous psychiatric history.
SIGNIFICANCE: Our results could guide future studies investigating the early neurophysiological changes and surrogate outcomes in depression.
METHODOLOGY: This was a prospective cohort study. Shortly after birth, cranial ultrasonography was carried out via the anterior fontanelles of 70 normal control infants and 104 asphyxiated infants with a history of fetal distress and Apgar scores of less than 6 at 1 and 5 min of life, or requiring endotracheal intubation and manual intermittent positive pressure ventilation for at least 5 min after birth. Neurodevelopmental assessment was carried out on the survivors at 1 year of age.
RESULTS: Abnormal cranial ultrasound changes were detected in a significantly higher proportion (79.8%, or n = 83) of asphyxiated infants than controls (39.5%, or n = 30) (P < 0.0001). However, logistic regression analysis showed that only three factors were significantly associated with adverse outcome at 1 year of life among the asphyxiated infants. These were: (i) decreasing birthweight (for every additional gram of increase in birthweight, adjusted odds ratio (OR) = 0.999, 95% confidence interval (CI) 0.998, 1.000; P = 0.047); (ii) a history of receiving ventilatory support during the neonatal period (adjusted OR = 8.3; 95%CI 2.4, 28.9; P = 0.0009); and (iii) hypoxic-ischaemic encephalopathy stage 2 or 3 (adjusted OR = 5.8; 95%CI 1.8, 18.6; P = 0.003). None of the early cranial ultrasound changes was a significant predictor.
CONCLUSIONS: Early cranial ultrasound findings, although common in asphyxiated infants, were not significant predictors of adverse outcome during the first year of life in asphyxiated term infants.