Skip to main content

Virtual Reality Sheds Light on ADHD Brain Patterns in Thai Children

2 min read
504 words
Share:

In a groundbreaking study, researchers employing virtual reality (VR) and functional MRI have unveiled distinct neural communication patterns in children with ADHD, diverging significantly from traditional methods that focus on resting brain states. Conducted by a collaboration of European universities, including Aalto University, the research underscores the potential of dynamic diagnostic methods and gamified tools in transforming ADHD diagnosis and treatment.

ADHD, or Attention Deficit Hyperactivity Disorder, remains a prevalent condition affecting many Thai children, characterized by symptoms such as inattention, hyperactivity, and impulsivity. Current diagnostic practices often rely on static brain imaging, which fails to capture the nuances of how these symptoms manifest in real-world interactions. This study marks a significant pivot towards understanding ADHD as an active neurodevelopmental disorder, where the brain’s interaction with the environment becomes a crucial diagnostic element.

The researchers used a VR game developed by Finnish company Peili Vision to simulate real-world tasks, projecting the game onto a mirror while the children’s brain activities were scanned via fMRI. This immersive experience revealed substantial differences in brain network activation in children with ADHD, particularly in the communication between deep brain structures and cortical areas—a finding absent in passive states like watching videos or resting. As Juha Salmitaival from Aalto University points out, “Taking pictures of the brain while memory and attention are being loaded in a virtual world gives us a deeper understanding of what’s going on.”

For the Thai education and healthcare sectors, these findings could herald a transformative shift. Current educational practices and support for children with ADHD could integrate VR tools that provide both diagnostic insights and non-pharmacological treatment options. In a country where maintaining concentration amidst the stimulating digital environment is increasingly challenging, understanding these dynamic brain patterns can tailor more effective interventions.

Historically, Thailand has leaned on traditional educational methods, but this study encourages a reevaluation of how technology like VR can offer personalized learning experiences that accommodate neurodiverse children. These tools align with the broader Thai cultural appreciation for innovation and adaptability, particularly in addressing the rising ADHD diagnoses in the digital age.

Looking ahead, the research team aims to explore further with motion-sensitive technologies in daily life simulations, potentially quantifying symptoms through accessible means like augmented reality glasses. This foresees a future where ADHD and similar conditions are diagnosed and managed effectively outside of clinical settings, offering promising advancements for Thai healthcare providers.

For Thai educators, healthcare professionals, and parents, the implication is clear: embracing technological advancements in VR not only aids in diagnosing ADHD more dynamically but also supports the development of customized educational and therapeutic strategies. Engaging with such tools can revolutionize how ADHD is perceived and managed, aligning with Thailand’s progressive strides in integrating technology into everyday life.

As Thailand continues to grapple with ADHD prevalence among children, particularly in urban settings, this study suggests a path forward. By investing in VR technologies and related research, Thai society can foster an educational environment that adapts to the complex needs of children with ADHD, promoting inclusivity and enhanced academic outcomes.

Related Articles

5 min read

IEEE Medals Celebrate Pioneering Computer Science That Transcends Boundaries

news computer science

Two leading computer scientists have captured global recognition for innovative breakthroughs that are now shaping the future of technology and health. At this year’s IEEE Vision Innovation Challenges Summit in Tokyo, the Institute of Electrical and Electronics Engineers (IEEE) honored a retired IBM Research scientist and an MIT professor with its prestigious medals for applying unexpected methods that have redefined core areas in computer science, cryptography, and medicine (research.ibm.com).

This development resonates far beyond the international scientific community—it carries timely lessons for Thailand, inspiring researchers and policymakers to advance cross-disciplinary approaches in technology and healthcare.

#ComputerScience #QuantumSafe #ArtificialIntelligence +12 more
5 min read

As AI Gets Smarter, Its Hallucinations Get Worse: New Research Raises Industry Alarms

news artificial intelligence

Artificial Intelligence systems, particularly the large language models that drive today’s chatbots and virtual assistants, are experiencing a troubling twist in their evolution: the more advanced and “intelligent” they become, the more likely they are to fabricate convincing but false information—a phenomenon known as AI hallucination. New research and industry reporting reveal that the latest generation of “reasoning” AI models, despite appearing more capable and articulate, are showing a dramatic increase in these errors, raising serious concerns for everyday users and global industries alike.

#AI #Technology #Education +8 more
4 min read

New Research Warns: 'Not Everything Needs an LLM'—A Sensible Framework for AI Adoption

news artificial intelligence

A new framework released in early May by a leading fintech group product manager is making waves throughout the global business and technology communities, urging organizations to reconsider the automatic use of large language models (LLMs) for every artificial intelligence (AI) application. The article, recently published by VentureBeat, cautions that LLMs—despite their popularity—are not always the best fit for all customer needs and often prove costly and imprecise compared to other machine learning (ML) or rules-based solutions (VentureBeat).

#AI #MachineLearning #LLM +12 more

Medical Disclaimer: This article is for informational purposes only and should not be considered medical advice. Always consult with qualified healthcare professionals before making decisions about your health.