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Free Will, Quantum & Orchestrated Objective Reduction

An extended exploration of what science tells us about free will and consciousness in a quantum universe, including Sir Roger Penrose’s theory of Orchestrated Objective Reduction.

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Episode 353a, June 30, 2024 Written, Produced & Narrated by Isaac Arthur.
Music Courtesy of Epidemic Sound http://epidemicsound.com/creator.
Select imagery/video supplied by Getty Images.

Huntington’s progression slowed by experimental gene therapy

Even hearing the phrase “Huntington’s disease” will make a room suddenly somber. So the joy that accompanied a recent announcement of results of an experimental gene therapy for the deadly diseases signaled an unfamiliar sense of hope.

In a small clinical trial, brain injections of a virus that codes for a tiny segment of RNA may have prevented the formation of the rogue proteins that make Huntington’s so devastating. The early results, announced September 24 in a news release, show that over three years, the treatment slowed Huntington’s progression by up to 75 percent. While not a cure, the treatment could potentially give people living with Huntington’s disease, who might otherwise face early disability and death, the gift of many more years of life.

Optic nerve added to multiple sclerosis criteria in major diagnostic update

The International Advisory Committee on Clinical Trials led a multinational panel updating the McDonald criteria, adding the optic nerve as a fifth anatomical location and allowing specific magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) markers to support diagnosis without mandatory dissemination in time in defined scenarios.

Multiple sclerosis has long required proof that occur in different places and at different times, with MRI and CSF biomarkers gradually shortening time to treatment.

Previous revisions improved sensitivity and specificity across ages and regions, yet misdiagnosis risk still persists, especially with overlapping conditions and when access to specialized tests is limited.

Thinking outside the box to fabricate customized 3D neural chips

Cultured neural tissues have been widely used as a simplified experimental model for brain research. However, existing devices for growing and recording neural tissues, which are manufactured using semiconductor processes, have limitations in terms of shape modification and the implementation of three-dimensional (3D) structures.

By thinking outside the box, a KAIST research team has successfully created a customized 3D neural chip. They first used a 3D printer to fabricate a hollow channel structure, then used to automatically fill the channels with conductive ink, creating the electrodes and wiring. This achievement is expected to significantly increase the design freedom and versatility of brain science and brain engineering research platforms. The paper is published in the journal Advanced Functional Materials.

A research team led by Professor Yoonkey Nam from the Department of Bio and Brain Engineering has successfully developed a platform technology that overcomes the limitations of traditional semiconductor-based manufacturing. This technology allows for the precise fabrication of a 3D microelectrode array (neural interfaces with multiple microelectrodes arranged in a 3D space to measure and stimulate the electrophysiological signal of neurons) in various customized forms for in vitro culture chips.

New protein interaction map sheds light on how brain cell communication breaks down in Alzheimer’s disease

A new study led by the Icahn School of Medicine at Mount Sinai offers one of the most comprehensive views yet of how brain cells interact in Alzheimer’s disease, mapping protein networks that reveal communication failures and point to new therapeutic opportunities.

Published online in Cell, the study analyzed in brain tissue from nearly 200 individuals.

The researchers discovered that disruptions in communication between neurons and supporting called glia—specifically astrocytes and microglia—are closely linked to the progression of Alzheimer’s disease. One protein in particular, called AHNAK, was identified as a top driver of these harmful interactions.

Theoretical model uses neuroimaging data to link brain alterations to schizophrenia

Schizophrenia is a chronic mental health disorder characterized by hallucinations, delusions, disorganized thinking and atypical movement or speech patterns. This psychiatric condition can be highly debilitating, and diagnosed individuals can report markedly different experiences.

Understanding the neurobiological basis of could be highly valuable, as it could inform the development of new interventions to reduce the risk of its emergence or treat its symptoms. The results of many neuroimaging studies carried out so far, however, were inconsistent or inconclusive, failing to clearly delineate the processes and brain regions implicated in its clinical expression.

In a recent paper published in Nature Mental Health, researchers at Taipei Medical University analyzed meta-analyses summarizing the most consistent findings of schizophrenia-related neuroimaging studies. Drawing on the results of this analysis, they developed a new theoretical model that delineates characteristic brain alterations linked to the psychiatric disorder.

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