Injectable electronics holds promise for basic neuroscience, treatment of neuro-degenerative diseases
It's a notion that might be pulled from the pages of science-fiction novel - electronic devices that can be injected directly into the brain, or other body parts, and treat everything from neurodegenerative disorders to paralysis.
It sounds unlikely, until you visit Charles Lieber's lab.
A team of international researchers, led by Lieber, the Mark Hyman, Jr. Professor of Chemistry, an international team of researchers developed a method for fabricating nano-scale electronic scaffolds that can be injected via syringe. Once connected to electronic devices, the scaffolds can be used to monitor neural activity, stimulate tissues and even promote regenerations of neurons. The study is described in a June 8 paper in Nature Nanotechnology.
Contributing to the work were Jia Liu, Tian-Ming Fu, Zengguang Cheng, Guosong Hong, Tao Zhou, Lihua Jin, Madhavi Duvvuri, Zhe Jiang, Peter Kruskal, Chong Xie, Zhigang Suo, Ying Fang
"I do feel that this has the potential to be revolutionary," Lieber said. "This opens up a completely new frontier where we can explore the interface between electronic structures and biology. For the past thirty years, people have made incremental improvements in micro-fabrication techniques that have allowed us to make rigid probes smaller and smaller, but no one has addressed this issue - the electronics/cellular interface - at the level at which biology works."
The idea of merging the biological with the electronic is not a new one for Lieber.
In an earlier study, scientists in Lieber's lab demonstrated that the scaffolds could be used to create "cyborg" tissue - when cardiac or nerve cells were grown with embedded scaffolds. Researchers were then able to use the devices to record electrical signals generated by the tissues, and to measure changes in those signals as they administered cardio- or neuro-stimulating drugs.
Though not the first attempts at implanting electronics into the brain - deep brain stimulation has been used to treat a variety of disorders for decades - the nano-fabricated scaffolds operate on a completely different scale.
"Existing techniques are crude relative to the way the brain is wired," Lieber explained. "Whether it's a silicon probe or flexible polymers...they cause inflammation in the tissue that requires periodically changing the position or the stimulation. But with our injectable electronics, it's as if it's not there at all. They are one million times more flexible than any state-of-the-art flexible electronics and have subcellular feature sizes. They're what I call "neuro-philic" - they actually like to interact with neurons.."
Despite their enormous potential, the fabrication of the injectable scaffolds is surprisingly easy.
"That's the beauty of this - it's compatible with conventional manufacturing techniques," Lieber said.
The process is similar to that used to etch microchips, and begins with a dissolvable layer deposited on a substrate. To create the scaffold, researchers lay out a mesh of nanowires sandwiched in layers of organic polymer. The first layer is then dissolved, leaving the flexible mesh, which can be drawn into a syringe needle and administered like any other injection.
After injection, the input/output of the mesh can be connected to standard measurement electronics so that the integrated devices can be addressed and used to stimulate or record neural activity.
"These type of things have never been done before, from both a fundamental neuroscience and medical perspective," Lieber said. "It's really exciting - there are a lot of potential applications."
Going forward, Lieber said, researchers hope to better understand how the brain and other tissues react to the injectable electronics over longer periods.
Harvard's Office of Technology Development has filed for a provisional patent on the technology and is actively seeking commercialization opportunities.
"Having those results can prove that this is really a viable technology," Lieber said. "The idea of being able to precisely position and record from very specific areas, or even from specific neurons over an extended period of time - this could, I think, make a huge impact on neuroscience."