[Internet : abuse, addiction and benefits].

Area of Science:

• Psychiatry
• Neuroscience
• Digital Health

Background:

• The reality and diagnostic criteria for Internet addiction (AI) have been debated, prompting investigation through clinical and neuroimaging studies.
• Understanding the factors contributing to AI, its comorbidities, and adverse health consequences is crucial for public health.
• Existing literature on AI treatment is diverse, necessitating a comprehensive review to guide clinical practice.

Purpose of the Study:

• To review recent literature on Internet addiction (AI), addressing its diagnostic validity, etiological factors, and health impacts.
• To discuss current treatment modalities for AI and explore the potential cognitive benefits of moderate internet usage.
• To identify gaps in current research and propose future research directions for a better understanding of AI.

Main Methods:

• Systematic literature review of clinical and neuroimaging studies on Internet addiction.
• Analysis of research on comorbidity, risk factors, and health consequences associated with AI.
• Examination of proposed treatment interventions and studies on the cognitive effects of internet use.

Main Results:

• Clinical and neuroimaging studies provide evidence supporting the reality of Internet addiction as a syndrome.
• Comorbidity with other mental health disorders and specific risk factors are identified as significant in AI.
• Various treatment approaches exist, but their efficacy and the potential benefits of moderate internet use require further investigation.

Conclusions:

• Internet addiction is a recognized condition supported by clinical and neuroimaging evidence.
• Addressing AI requires a multifaceted approach considering comorbidities, risk factors, and tailored treatments.
• Further research is needed to optimize AI interventions and understand the nuanced relationship between internet use and cognitive function.