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Functional Magnetic Resonance Imaging Fmri

All articles tagged with #functional magnetic resonance imaging fmri

neuroscience2 years ago

Unveiling the Neural Circuits Behind Consciousness Loss

A brain imaging study has identified two neural circuits crucial for consciousness by studying patients with disorders of consciousness and healthy volunteers. The researchers used functional magnetic resonance imaging (fMRI) to observe how external perturbations propagate through the brain in different states of reduced consciousness. They found that patients with disorders of consciousness had malfunctioning neural circuits that failed to convey and integrate information properly, leading to a lack of consciousness. In healthy individuals, specific brain regions were responsible for broadcasting and receiving information, while in patients with unresponsive wakefulness syndrome, the brain's ability to transmit and integrate information was severely impaired. The study provides insights into the mechanisms behind consciousness and could help improve treatment for patients with disorders of consciousness.

neuroscience2 years ago

The Impact of Loneliness on Brain Processing: A Unique Perspective

A study conducted on college students using functional magnetic resonance imaging (fMRI) has found that lonely individuals exhibit more unique and idiosyncratic brain processing patterns compared to non-lonely individuals. This suggests that loneliness alters the way people process the world, potentially impacting their social connections. The findings highlight the importance of understanding the nuances of loneliness and its impact on mental health.

neuroscience2 years ago

Unveiling the Link Between Machine Learning and Rumination

Researchers have developed a machine learning model that can predict patterns of persistent negative thinking, known as rumination, using functional Magnetic Resonance Imaging (fMRI) data. The model successfully approximated rumination scores based on participants' brain activity, specifically focusing on the dorsal medial prefrontal cortex (dmPFC) region. This innovative model has the potential to serve as a valuable biomarker for depression, aiding in early detection and monitoring treatment progress.