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First-ever recording of dying human brain reveals dreaming-like activity

𝐍𝐞𝐰 𝐀𝐭𝐥𝐚𝐬:

The Neuro-Network.

𝐅𝐢𝐫𝐬𝐭-𝐞𝐯𝐞𝐫 𝐫𝐞𝐜𝐨𝐫𝐝𝐢𝐧𝐠 𝐨𝐟 𝐝𝐲𝐢𝐧𝐠 𝐡𝐮𝐦𝐚𝐧 𝐛𝐫𝐚𝐢𝐧 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐝𝐫𝐞𝐚𝐦𝐢𝐧𝐠-𝐥𝐢𝐤𝐞 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲

“𝙈𝙮 𝙬𝙝𝙤𝙡𝙚 𝙡𝙞𝙛𝙚 𝙛𝙡𝙖𝙨𝙝𝙚𝙙 𝙗𝙚𝙛𝙤𝙧𝙚 𝙢𝙮 𝙚𝙮𝙚𝙨” 𝙞𝙨 𝙖 𝙥𝙝𝙧𝙖𝙨𝙚 𝙬𝙚 𝙤𝙛𝙩𝙚𝙣 𝙝𝙚𝙖𝙧 𝙧𝙚𝙜𝙖𝙧𝙙𝙞𝙣𝙜 𝙣𝙚𝙖𝙧-𝙙𝙚𝙖𝙩𝙝 𝙚… See more.


“My whole life flashed before my eyes” is a phrase we often hear regarding near-death experiences – and there just might be some truth to it. Scientists have recorded the activity of a dying human brain for the first time ever, revealing brain wave patterns related to processes like dreaming and memory recall.

Olaf Sporns: Connectivity and Fine-Scale Dynamics of Human Brain Networks

Networks (connectivity) and dynamics are two key pillars of network neuroscience – an emerging field dedicated to understanding structure and function of neural systems across scales, from neurons to circuits to the whole brain. In this presentation I will review current themes and future directions, including structure/function relationships, use of computational models to map information flow and communication dynamics, and a novel edge-centric approach to map functional connectivity at fine temporal scales. I will argue that network neuroscience represents a promising theoretical framework for understanding the complex structure and functioning of nervous systems.

This video is part of the SNAC seminar series organized by Mac Shine, Joe Lizier, and Ben Fulcher (The University of Sydney).

Gene Editing a “Factory Reset” for the Brain To Cure Anxiety and Excessive Drinking

Gene editing reverses brain genetic reprogramming caused by adolescent binge drinking.

Gene editing may be a potential treatment for anxiety and alcohol use disorder in adults who were exposed to binge drinking in their adolescence, according to the findings of an animal study published on May 4, 2022, in the journal Science Advances.

The study was issued by researchers from the University of Illinois Chicago (UIC) who have been studying the effects of early-life binge drinking on health later in life.

An algorithm trained to detect unhappiness on social networks

Researchers have developed an algorithm that can identify the basic needs of users from the text and images they share on social networks. The experts hope this tool will help psychologists to diagnose possible mental health problems. The study suggests that Spanish-speaking users are more likely to mention relationship problems when feeling depressed than English speakers.

We spend a substantial amount of our time sharing images, videos or thoughts on social networks such as Instagram, Facebook and Twitter. Now, a group of researchers from the Universitat Oberta de Catalunya (UOC) has developed an algorithm that aims to help psychologists diagnose possible mental health problems through the content people post on these platforms.

According to William Glasser’s Choice Theory, there are five that are central to all human behavior: Survival, Power, Freedom, Belonging and Fun. These needs even have an influence on the images we choose to upload to our Instagram page. “How we present ourselves on can provide useful information about behaviors, personalities, perspectives, motives and needs,” explained Mohammad Mahdi Dehshibi, who led this study within the AI for Human Well-being (AIWELL) group, which belongs to the Faculty of Computer Science, Multimedia and Telecommunications at the UOC.

Scientists just brought light-sensing cells in human eyes back to life

Death may be the most uncanny topic to discuss for human beings. Even thinking about it is uncomfortable for some people.

To eliminate the mystery behind it, researchers worldwide are conducting scientific studies on death and coming up with surprising results, such as when researchers captured brainwaves during an individual’s death and found semblance to high cognition activities.

And now, a team of scientists from the U.S. may have found a way to revive a glimmer of activity in human eyes after death. According to a study published yesterday (May 11, 2022) in the journal Nature, the team has managed to revive the connections between light-sensing neurons in organ donor eyes.

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