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Since the infancy of functional magnetic resonance imaging (fMRI) in 1990, people have been fascinated by the potential for brain scans to unlock the mysteries of the human mind, our behaviors and beliefs. Many breathtaking applications for brain scans have been devised, but hype often exceeds what empirical science can deliver. It’s time to ask: What’s the big picture of neuroscience and what are the limitations of brain scans?

The specific aims of any research endeavor depend on who you ask and what funding agency is involved, says Michael Spezio, associate professor of psychology, data science and neuroscience at Scripps College. Some people believe neuroscience has the potential to explain human cognition and behavior as a fully mechanistic process, ultimately debunking an “illusion of free will.” Not all neuroscientists agree that free will is a myth, but it’s a strong current these days. Neuroscience also has applications in finance, artificial intelligence, weapons research and national security.

For other researchers and funders, the specific aim of neuroscience involves focusing on medical imaging, genetics, the study of proteins (proteomics) and the study of neural connections (connectomics). As caring persons who are biological, neurological, physical, social and spiritual, we can use neuroscience to think carefully and understand our humanity and possible ways to escape some of the traps we’ve built for ourselves, says Spezio. Also, brain scans can enhance research into spirituality, mindfulness and theory of mind – the awareness of emotions, values, empathy, beliefs, intentions and mental states to explain or predict others’ behavior.

Our brains are among the most complex objects in the known universe. Deciphering how they work could bring tremendous benefits, from finding ways to treat brain diseases and neurological disorders to inspiring new forms of machine intelligence.

But a critical starting point is coming up with a parts list. While everyone knows that brains are primarily made up of neurons, there are a dazzling array of different types of these cells. That’s not to mention the various kinds of glial cells that make up the connective tissue of the brain and play a crucial supporting role.

That’s why the National Institutes of Health’s BRAIN Initiative has just announced $500 million in funding over five years for an effort to characterize and map neuronal and other types of cells across the entire human brain. The project will be spearheaded by the Allen Institute in Seattle, but involves collaborations across 17 other institutions in the US, Europe, and Japan.

Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems. Please support this podcast by checking out our sponsors:
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Biological Robots: https://arxiv.org/abs/2207.00880
Synthetic Organisms: https://tandfonline.com/doi/full/10.1080/19420889.2021.2005863
Limb Regeneration: https://science.org/doi/10.1126/sciadv.abj2164

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OUTLINE:
0:00 — Introduction.
1:40 — Embryogenesis.
9:08 — Xenobots: biological robots.
22:55 — Sense of self.
32:26 — Multi-scale competency architecture.
43:57 — Free will.
53:27 — Bioelectricity.
1:06:44 — Planaria.
1:18:33 — Building xenobots.
1:42:08 — Unconventional cognition.
2:06:39 — Origin of evolution.
2:13:41 — Synthetic organisms.
2:20:27 — Regenerative medicine.
2:24:13 — Cancer suppression.
2:28:15 — Viruses.
2:33:28 — Cognitive light cones.
2:38:03 — Advice for young people.
2:42:47 — Death.
2:52:17 — Meaning of life.

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BGI Genomics, in collaboration with Southwest University, the State Key Laboratory of Silkworm Genome Biology, and other partners, has constructed a high-resolution pangenome dataset representing almost the entire genomic content in a silkworm.

This research paper, providing genetic insights into artificial selection (domestication and breeding) and ecological adaptation, was published on September 24 in Nature Communications.

Previously, due to the scarcity of wild silkworms and technical limitations of former studies, many trait-associated sites were missing. This is the first research ever to digitize silkworm gene pool and create a “digital silkworm”, greatly facilitating functional genomic research, promoting precise breeding, and thus enabling additional use cases.

The last decade has brought a lot of attention to the use of microscopic robots (microrobots or nanorobots) for biomedical applications. Now, nanoengineers have developed microrobots that can swim around in the lungs and deliver medication to be used to treat bacterial pneumonia. A new study shows that the microrobots safely eliminated pneumonia-causing bacteria in the lungs of mice and resulted in 100% survival. By contrast, untreated mice all died within three days after infection.

The results are published Nature Materials in the paper, “Nanoparticle-modified microrobots for in vivo antibiotic delivery to treat acute bacterial pneumonia.

The microrobots are made using click chemistry to attach antibiotic-loaded neutrophil membrane-coated polymeric nanoparticles to natural microalgae. The hybrid microrobots could be used for the active delivery of antibiotics in the lungs in vivo.

Scientists have been able to direct a swarm of microscopic swimming robots to clear out pneumonia microbes in the lungs of mice, raising hopes that a similar treatment could be developed to treat deadly bacterial pneumonia in humans.

The microbots are made from algae cells and covered with a layer of antibiotic nanoparticles. The algae provide movement through the lungs, which is key to the treatment being targeted and effective.

In experiments, the infections in the mice treated with the algae bots all cleared up, whereas the mice that weren’t treated all died within three days.

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New research from medical scientists at Johns Hopkins University linked abnormally formed proteins in the human brain with the psychiatric illness called schizophrenia, in a significant number of patients. While they’re not yet sure what the connection is, the study said that deformed proteins were found in the brains of many patients who were diagnosed with schizophrenia.


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