Rice engineers’ probe could help advance treatment for spinal cord disease, injury

HOUSTON – (July 11, 2024) – Implantable technologies have significantly improved our ability to study and even modulate the activity of neurons in the brain, but neurons in the spinal cord are harder to study in action.

“If we understood exactly how neurons in the spinal cord process sensation and control movement, we could develop better treatments for spinal cord disease and injury,” said Yu Wu, a research scientist who is part of a team of Rice University neuroengineers working on a solution to this problem.

“We developed a tiny sensor, spinalNET, that records the electrical activity of spinal neurons as the subject performs normal activity without any restraint,” said Wu, who is the lead author on a study about the sensor published in Cell Reports. “Being able to extract such knowledge is a first but important step to develop cures for millions of people suffering from spinal cord diseases.”

According to the study, the sensor was used to record neuronal activity in the spinal cord of freely moving mice for prolonged periods and with great resolution, even tracking the same neuron over multiple days.

“Up until now, the spinal cord has been more or less a black box,” said Lan Luan, an associate professor of electrical and computer engineering and a corresponding author on the study. “The issue is that the spinal cord moves so much during normal activity. Every time you turn your head or bend over, spinal neurons are also moving.”

During such movements, rigid sensors implanted in the spinal cord inevitably disturb or even damage the fragile tissue. SpinalNET, however, is over a hundred times smaller than the width of a hair, which makes it extremely soft and flexible ⎯ nearly as soft as the neural tissue itself.

“This flexibility gives it the stability and biocompatibility we need to safely record spinal neurons during spinal cord movements,” said Chong Xie, an associate professor of electrical and computer engineering and bioengineering and a corresponding author of the study. “With spinalNET, we were able to get low-noise signals from hundreds of neurons.”

The spinal cord plays a critical role in controlling movement and other vital functions, and the ability to record spinal neurons with fine-grained spatial and temporal resolution during unrestrained motion offers a window into the mechanisms that make this possible. Using spinalNET, researchers were able to determine that the spinal neurons in the central pattern generator — the neuronal circuit that can produce rhythmic motor patterns such as walking in the absence of specific timing information — seem to be involved with a lot more than rhythmic movement.

“Some of them are strongly correlated with leg movement, but surprisingly, a lot of neurons have no obvious correlation with movement,” Wu said. “This indicates that the spinal circuit controlling rhythmic movement is more complicated than we thought.”

The researchers said they hope to help unravel some of this complexity in future research, tackling questions such as the difference between how spinal neurons process reflex motion ⎯ getting startled, for instance ⎯ versus volitional action.

“In addition to scientific insight, we believe that as the technology evolves, it has great potential as a medical device for people with spinal cord neurological disorders and injury,” Luan said.

The research was supported by the National Institutes of Health (R01NS102917, U01NS115588, U01NS131086, R01NS109361, R01NS123160, R01NS108034, U19NS112959), Rice, the Salk Institute and the Mary K. Chapman Foundation. The content in this press release is solely the responsibility of the authors and does not necessarily represent the official views of the funders.

-30-

This news release can be found online at news.rice.edu.

Follow Rice News and Media Relations via Twitter @RiceUNews.

Peer-reviewed paper:

“Ultraflexible electrodes for recording neural activity in the mouse spinal cord during motor behavior” | Cell Reports | DOI: 10.1016/j.celrep.2024.114199

Authors: Yu Wu, Benjamin Temple, Nicole Sevilla, Jiaao Zhang, Hanlin Zhu, Pavlo Zolotavin, Yifu Jin, Daniela Duarte, Elischa Sanders, Eiman Azim, Axel Nimmerjahn, Samuel Pfaff, Lan Luan and Chong Xie

Image downloads:

CAPTION: Yu Wu is a research scientist at Rice University and lead author on a study published in Cell Reports. (Photo by Jeff Fitlow/Rice University)

CAPTION: Lan Luan (from left), Yu Wu and Chong Xie (Photo by Jeff Fitlow/Rice University)

CAPTION: A team of Rice University neuroengineers developed a sensor that can record the activity of spinal cord neurons in a freely moving animal model. (Photo by Jeff Fitlow/Rice University)

CAPTION: Rice University research scientist Yu Wu is holding spinalNET, a sensor that is over a hundred times smaller than the width of a hair and nearly as soft as neural tissue. (Photo by Jeff Fitlow/Rice University)

About Rice:

Located on a 300-acre forested campus in Houston, Rice University is consistently ranked among the nation’s top 20 universities by U.S. News & World Report. Rice has highly respected schools of architecture, business, continuing studies, engineering, humanities, music, natural sciences and social sciences and is home to the Baker Institute for Public Policy. With 4,574 undergraduates and 3,982 graduate students, Rice’s undergraduate student-to-faculty ratio is just under 6-to-1. Its residential college system builds close-knit communities and lifelong friendships, just one reason why Rice is ranked No. 1 for lots of race/class interaction, No. 2 for best-run colleges and No. 12 for quality of life by the Princeton Review. Rice is also rated as a best value among private universities by Kiplinger’s Personal Finance.

If you do not wish to receive news releases from Rice University, reply to this email and write “unsubscribe” in the subject line. Office of News and Media Relations – MS 300, Rice University, 6100 Main St., Houston, TX 77005.

---

---