AI identifies source of hallucinations in the brain

Discover how AI and fMRI technology unveil the source of hallucinations in the brain, shedding light on psychosis and offering hope for earlier detection and more effective treatments. Dive into the latest study revealing key brain regions linked to psychosis and how understanding these mechanisms could revolutionize mental health care.

Exciting news coming from the world of neuroscience! Researchers have made significant progress in understanding psychosis by pinpointing two key brain regions involved in the condition. Using advanced brain scanning technology and machine learning, the study focused on individuals with 22q11.2 deletion syndrome, a genetic condition linked to psychosis.

The researchers discovered abnormalities in brain networks related to directing attention in people with psychosis. This breakthrough has the potential to revolutionize the diagnosis and treatment of psychosis, leading to earlier interventions and more effective therapies.

By targeting these key brain regions with existing treatments, researchers hope to prevent or delay the onset of psychosis. These findings also support previous hypotheses about the connection between the brain’s salience network and psychosis, building upon earlier studies in the field.

Psychosis is believed to stem from dysfunction in the brain’s “filter” and “predictor” systems, which can result in hallucinations and delusions. These symptoms are commonly observed in conditions like bipolar disorder and schizophrenia, which often begin at a young age and can be challenging to detect through traditional brain scans.

Studying individuals with 22q11.2 deletion syndrome has provided valuable insights into the brain mechanisms behind psychosis. The identification of the salience network and ventral striatum as key brain areas contributing to psychosis opens up new possibilities for developing strategies to prevent hallucinations and delusions.

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Early intervention in individuals at risk of psychosis could potentially help alleviate symptoms or delay the onset of the condition. Functional MRI technology can play a crucial role in monitoring brain activity in the filter and predictor regions, providing a better understanding of how antipsychotic medications function.

This groundbreaking research offers hope for the future of treating psychosis and underscores the importance of continued exploration into the complexities of the human brain.

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Trishla Tyagi
Trishla Tyagi

Trishla is a news writer and social media aficionado. She has substantial experience in covering updates, events, and news related to the different space, along with rapidly expanding blockchain and financial technology markets. Her experience in the cryptocurrency market has led her to become a crypto hodler herself.