An important ongoing debate in the addiction field is whether certain technology-mediated behaviors constitute tenable and independent constructs. This study investigated whether problematic technology-mediated behaviors could be conceptualized as a spectrum of related, yet distinct disorders (spectrum hypothesis), using the network approach, which considers disorders as networks of symptoms. We used data from the Cohort Study on Substance Use and Risk Factors (C-SURF; Swiss National Science Foundation), with a representative sample of young Swiss men (subsample of participants engaged in technology-mediated behaviors, n = 3,404). Four technology-mediated addictive behaviors were investigated using symptoms derived from the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) and the component model of addiction: Internet, smartphone, gaming, and cybersex. Network analyses included network estimation and visualization, community detection tests, and centrality indices. The network analysis identified four distinct clusters corresponding to each condition, but only Internet addiction had numerous relationships with the other behaviors. This finding, along with the finding that there were few relationships between the other behaviors, suggests that smartphone addiction, gaming addiction, and cybersex addiction are relatively independent constructs. Internet Addiction was often connected with other conditions through the same symptoms, suggesting that it could be conceptualized as an "umbrella construct," that is, a common vector that mediates specific online behaviors. The network analysis thus provides a preliminary support to the spectrum hypothesis and the focus on the specific activities performed online, while showing that the construct of Internet addiction is inadequate. (PsycINFO Database Record

Words matter when describing people involved in the criminal justice system because language can have a significant impact upon health, wellbeing, and access to health information and services. However, terminology used in policies, programs, and research publications is often derogatory, stigmatizing, and dehumanizing. In response, health experts from Europe, the United States, and Australia recommend that healthcare professionals, researchers, and policy makers working with people in detention follow key principles that foster constructive and humanizing language. These principles include: engage people and respect their preferences; use stigma-free and accurate language; prioritize individuals over their characteristics; and cultivate self-awareness. The article offers examples of problematic terms to be avoided because they do not convey respect for incarcerated people and propose preferred wording which requires contextualization to local language, culture, and environment. The use of respectful and appropriate language is a cornerstone of reducing harm and suffering when working with people involved in the criminal justice system; the use of stigmatizing and dehumanizing language must therefore come to an end.

Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and across experimental conditions, suggesting a signature of cortical hyper-activation. Both groups demonstrated a significant and targeted reduction of alpha power during NFB. Interestingly, we observed a post-NFB increase in resting-state alpha (i.e. rebound) in the ADHD group, which restored alpha power towards levels of the normal population. Importantly, the degree of post-NFB alpha normalization during the Go/NoGo task correlated with individual improvements in motor inhibition (i.e. reduced commission errors) only in the ADHD group. Overall, our findings offer novel supporting evidence implicating alpha oscillations in inhibitory control, as well as their potential role in the homeostatic regulation of cortical excitatory/inhibitory balance.