Tag Archives: R. Li

Brain stimulation combined with a nose spray containing nanoparticles can improve stroke recovery (in an animal model)

A September 28, 2022 news item on Nanowerk announces research into combining nasal sprays and brain stimulation in efforts to improve stroke recovery (Note: A link has been removed),

In a recent study (Materials Today Chemistry, “Enhancing non-invasive brain stimulation with non-invasively delivered nanoparticles for improving stroke recovery”), researchers from Xi’an Jiaotong-Liverpool University and other universities in China have reported that brain stimulation combined with a nose spray containing nanoparticles can improve recovery after ischemic stroke in an animal model.

The nasal spray is a non-invasive method for delivering magnetic nanoparticles into the brain that the study finds can increase the benefits of transcranial magnetic stimulation (TMS). TMS is a method of non-invasive brain stimulation already used clinically or in clinical trials to treat neurological conditions like stroke, Parkinson’s disease, Alzheimer’s disease, depression, and addiction.

I have two previous posts about nasal sprays and nanoparticles (links to previous posts follow at the end) but this item is the first to include brain stimulation. From a September 27, 2022 Xi’an Jiaotong-Liverpool University press release (also on EurekAlert but published on September 28, 2022), which originated the news item,

Rats that were given combined nanoparticle and TMS treatment every 24 hours for 14 days after an ischemic stroke had better overall health, put on weight more quickly and had improved cognitive and motor functions compared to those treated with TMS alone.

During TMS treatment, an electrical current runs through an electric coil placed outside the skull, producing a magnetic field that stimulates brain cells by inducing a further electrical current inside the brain. However, the stimulation is often not intense enough to penetrate far enough into the brain to reach the areas needing treatment. 

In this new study, the researchers show that magnetic nanoparticles, administered intranasally, can make neurons more responsive and amplify the magnetic signal from TMS to reach deeper brain tissue, aiding recovery. The finding offers new opportunities for treating neurological disorders. 

From impossible to possible

The research answers a key question in nanomedicine – whether it is possible to enhance TMS by using nanoparticles that are non-invasively delivered into the brain. Leading figures in the field previously stated that it was almost impossible because of the blood-brain barrier. This physical barrier separates the brain from the rest of the body’s bloodstream.

However, the team of researchers overcame this by guiding the magnetic nanoparticles closer to the correct area with a large magnet near the head. 

Dr Gang Ruan, a corresponding author of the study, says: “We were able to overcome the blood-brain barrier and send enough nanoparticles into the brain to use in combination with TMS simulation to improve recovery from stroke. 

“TMS devices are already used for the clinical treatment of neurological disorders but have severe limitations in terms of stimulation strength and depths of the brain they can penetrate. 

“By non-invasively putting magnetic nanoparticles into the brain, we can amplify and enhance the TMS stimulation effects on neurons, making the treatment more effective,” Dr Ruan adds.

“Showing it is possible to use nanoparticles in this way paves the way for medical applications of nanoparticles for other neurological disorders.”

Crossing barriers 

The iron oxide nanoparticles used in the study are already prescribed to treat iron deficiency as they are non-toxic and biodegradable. The team also modified the nanoparticles by coating them with various non-toxic substances. 

Dr Ruan says: “The coating causes the nanoparticles to stick to the blood-brain barrier, increasing their chances of passing through it. Without this coating, the particles just bounce back from the barrier instead of crossing it.

“The modifications of the iron oxide particles also ensure that the nanoparticles can stick to the neurons and increase their responsiveness to TMS stimulation.”

The safety of using the modified nanoparticles needs to be assessed in clinical trials but has the potential to be used in combination with TMS, and other methods such as brain imaging, to gain more insight into how the brain works and improve the treatment of neurological disorders. 

“Many scientists still think it is impossible to non-invasively send enough nanoparticles into the brain to affect brain function. Yet we have shown that it is possible,” says Dr Ruan.

“We combined the expertise on our team in four different disciplines, materials science, biophysics, neuroscience, and medical science, to push the boundaries of our knowledge and challenge what is currently thought in the field.”

Here’s a link to and a citation for the paper,

Enhancing non-invasive brain stimulation with non-invasively delivered nanoparticles for improving stroke recovery by Y. Hong, J. Wang, J. Li, Z. Xu, X. Yang, M. Bai, P. Gong, Y. Xi, X. Zhang, P. Xu, X. Chen, R. Li, X. Liu, G. Ruan, G. Xua. Materials Today Chemistry Volume 26, December 2022, 101104 DOI: https://doi.org/10.1016/j.mtchem.2022.101104 First available online: 19 August 2022

This paper is behind a paywall.

As promised, here are the links to the other posts about nasal sprays and nanoparticles:

One final note, “Xi’an Jiaotong-Liverpool University (XJTLU) is an international university formed in partnership between the University of Liverpool and Xi’an Jiaotong University in China. Find out more about XJTLU

D-Wave and the first large-scale quantum simulation of a* topological state of matter

This is all about a local (Burnaby is one of the metro Vancouver municipalities) quantum computing companies, D-Wave Systems. The company has been featured here from time to time. It’s usually about about their quantum technology (they are considered a technology star in local and [I think] other circles) but my March 9, 2018 posting about the SXSW (South by Southwest) festival noted that Bo Ewald, President, D-Wave Systems US, was a member of the ‘Quantum Computing: Science Fiction to Science Fact’ panel.

Now, they’re back making technology announcements like this August 22, 2018 news item on phys.org (Note: Links have been removed),

D-Wave Systems today [August 22, 2018] published a milestone study demonstrating a topological phase transition using its 2048-qubit annealing quantum computer. This complex quantum simulation of materials is a major step toward reducing the need for time-consuming and expensive physical research and development.

The paper, entitled “Observation of topological phenomena in a programmable lattice of 1,800 qubits”, was published in the peer-reviewed journal Nature. This work marks an important advancement in the field and demonstrates again that the fully programmable D-Wave quantum computer can be used as an accurate simulator of quantum systems at a large scale. The methods used in this work could have broad implications in the development of novel materials, realizing Richard Feynman’s original vision of a quantum simulator. This new research comes on the heels of D-Wave’s recent Science paper demonstrating a different type of phase transition in a quantum spin-glass simulation. The two papers together signify the flexibility and versatility of the D-Wave quantum computer in quantum simulation of materials, in addition to other tasks such as optimization and machine learning.

An August 22, 2108 D-Wave Systems news release (also on EurekAlert), which originated the news item, delves further (Note: A link has been removed),

In the early 1970s, theoretical physicists Vadim Berezinskii, J. Michael Kosterlitz and David Thouless predicted a new state of matter characterized by nontrivial topological properties. The work was awarded the Nobel Prize in Physics in 2016. D-Wave researchers demonstrated this phenomenon by programming the D-Wave 2000Q™ system to form a two-dimensional frustrated lattice of artificial spins. The observed topological properties in the simulated system cannot exist without quantum effects and closely agree with theoretical predictions.

“This paper represents a breakthrough in the simulation of physical systems which are otherwise essentially impossible,” said 2016 Nobel laureate Dr. J. Michael Kosterlitz. “The test reproduces most of the expected results, which is a remarkable achievement. This gives hope that future quantum simulators will be able to explore more complex and poorly understood systems so that one can trust the simulation results in quantitative detail as a model of a physical system. I look forward to seeing future applications of this simulation method.”

“The work described in the Nature paper represents a landmark in the field of quantum computation: for the first time, a theoretically predicted state of matter was realized in quantum simulation before being demonstrated in a real magnetic material,” said Dr. Mohammad Amin, chief scientist at D-Wave. “This is a significant step toward reaching the goal of quantum simulation, enabling the study of material properties before making them in the lab, a process that today can be very costly and time consuming.”

“Successfully demonstrating physics of Nobel Prize-winning importance on a D-Wave quantum computer is a significant achievement in and of itself. But in combination with D-Wave’s recent quantum simulation work published in Science, this new research demonstrates the flexibility and programmability of our system to tackle recognized, difficult problems in a variety of areas,” said Vern Brownell, D-Wave CEO.

“D-Wave’s quantum simulation of the Kosterlitz-Thouless transition is an exciting and impactful result. It not only contributes to our understanding of important problems in quantum magnetism, but also demonstrates solving a computationally hard problem with a novel and efficient mapping of the spin system, requiring only a limited number of qubits and opening new possibilities for solving a broader range of applications,” said Dr. John Sarrao, principal associate director for science, technology, and engineering at Los Alamos National Laboratory.

“The ability to demonstrate two very different quantum simulations, as we reported in Science and Nature, using the same quantum processor, illustrates the programmability and flexibility of D-Wave’s quantum computer,” said Dr. Andrew King, principal investigator for this work at D-Wave. “This programmability and flexibility were two key ingredients in Richard Feynman’s original vision of a quantum simulator and open up the possibility of predicting the behavior of more complex engineered quantum systems in the future.”

The achievements presented in Nature and Science join D-Wave’s continued work with world-class customers and partners on real-world prototype applications (“proto-apps”) across a variety of fields. The 70+ proto-apps developed by customers span optimization, machine learning, quantum material science, cybersecurity, and more. Many of the proto-apps’ results show that D-Wave systems are approaching, and sometimes surpassing, conventional computing in terms of performance or solution quality on real problems, at pre-commercial scale. As the power of D-Wave systems and software expands, these proto-apps point to the potential for scaled customer application advantage on quantum computers.

The company has prepared a video describing Richard Feynman’s proposal about quantum computing and celebrating their latest achievement,

Here’s the company’s Youtube video description,

In 1982, Richard Feynman proposed the idea of simulating the quantum physics of complex systems with a programmable quantum computer. In August 2018, his vision was realized when researchers from D-Wave Systems and the Vector Institute demonstrated the simulation of a topological phase transition—the subject of the 2016 Nobel Prize in Physics—in a fully programmable D-Wave 2000Q™ annealing quantum computer. This complex quantum simulation of materials is a major step toward reducing the need for time-consuming and expensive physical research and development.

You may want to check out the comments in response to the video.

Here’s a link to and a citation for the Nature paper,

Observation of topological phenomena in a programmable lattice of 1,800 qubits by Andrew D. King, Juan Carrasquilla, Jack Raymond, Isil Ozfidan, Evgeny Andriyash, Andrew Berkley, Mauricio Reis, Trevor Lanting, Richard Harris, Fabio Altomare, Kelly Boothby, Paul I. Bunyk, Colin Enderud, Alexandre Fréchette, Emile Hoskinson, Nicolas Ladizinsky, Travis Oh, Gabriel Poulin-Lamarre, Christopher Rich, Yuki Sato, Anatoly Yu. Smirnov, Loren J. Swenson, Mark H. Volkmann, Jed Whittaker, Jason Yao, Eric Ladizinsky, Mark W. Johnson, Jeremy Hilton, & Mohammad H. Amin. Nature volume 560, pages456–460 (2018) DOI: https://doi.org/10.1038/s41586-018-0410-x Published 22 August 2018

This paper is behind a paywall but, for those who don’t have access, there is a synopsis here.

For anyone curious about the earlier paper published in July 2018, here’s a link and a citation,

Phase transitions in a programmable quantum spin glass simulator by R. Harris, Y. Sato, A. J. Berkley, M. Reis, F. Altomare, M. H. Amin, K. Boothby, P. Bunyk, C. Deng, C. Enderud, S. Huang, E. Hoskinson, M. W. Johnson, E. Ladizinsky, N. Ladizinsky, T. Lanting, R. Li, T. Medina, R. Molavi, R. Neufeld, T. Oh, I. Pavlov, I. Perminov, G. Poulin-Lamarre, C. Rich, A. Smirnov, L. Swenson, N. Tsai, M. Volkmann, J. Whittaker, J. Yao. Science 13 Jul 2018: Vol. 361, Issue 6398, pp. 162-165 DOI: 10.1126/science.aat2025

This paper too is behind a paywall.

You can find out more about D-Wave here.

*ETA ‘a’ to the post title on February 24, 2021.