remmi

AI Predicts Brain Age from EEG Data Researchers developed an artificial intelligence technique that uses EEG brain scans to estimate an individual's brain age, a potential indicator of premature aging and susceptibility to neurological diseases. This new method offers a cost-effective and less invasive alternative to MRI scans, making it accessible for regular screening of brain health. The AI analyzes EEG patterns to detect discrepancies between a person’s biological age and their brain's age, identifying early signs of conditions like dementia or Parkinson’s. The researchers have licensed this technology to DiagnaMed Holdings, which will feature it in a new digital health platform, potentially revolutionizing how we monitor and manage brain health. 1/3

@Zoe_G19 @SCastro_Kemp @UCL_IOE_CIE

📞Calling all neurodivergent trainee teachers in Primary School settings! I am conducting a study exploring your lived experiences during teacher training 🧑‍🏫. If you are interested in being involved please contact the email below 📧 Your participation would go a long way 🧠🎓

@Zoe_G19 @SCastro_Kemp @UCL_IOE_CIE

Autism’s Brain Structure Secrets Revealed Researchers pioneered a novel method to investigate the brain structures of individuals with autism spectrum disorder (ASD) using Diffusion MRI. This technique, which tracks the movement of water molecules within the brain, has enabled the team to discern critical differences in the microstructures of neural pathways between autistic and non-autistic individuals. The study successfully demonstrated how these structural variations affect the electrical conductivity and information processing capabilities of neurons. The findings not only provide a deeper understanding of the physiological underpinnings of ASD but also suggest new avenues for the development of targeted treatments, offering hope for a precision medicine approach to this complex condition. 1/3