Brain on chip: Nerve tissue interfaced with a computer chip

Methods commonly used in neurophysiology are invasive, restricted to a small number of cells or suffer from low spatial resolution. The scientists in Martinsried developed a revolutionary non-invasive technique that enables them to record neural communication between thousands of nerve cells in the tissue of a brain slice with high spatial resolution.

This technique involves culturing razor-thin slices of the hippocampus region on semiconductor chips. These chips were developed in collaboration with Infineon Technologies AG and excel in their density of sensory transistors: 16384 transistors on an area of one square millimeter record the neural activity in the brain.

Recording the activity patterns of the united cell structure of an intact mammalian brain tissue represents a significant technological breakthrough. Employing the new technique, the biophysicists working under the direction of Peter Fromherz were able to visualize the influence of pharmaceutical compounds on the neural network. This makes the "brain-chip" from Martinsried a novel test system for brain and drug research.

As early as 1991, Peter Fromherz and his coworkers succeeded in interfacing single leech nerve cells with semiconductor chips. Subsequent research gave rise to bidirectional communication between chip and small networks of a few molluskan nerve cells.

In this project, it was possible to detect the signalling between cells via their synapses. The chips used in these studies were developed and produced by the scientists themselves. The production requirements of the chip described above made collaboration with industry indispensable. With the resulting novel hybrid system of neural tissue and semiconductor, the scientists take a great step forward towards neurochip prosthetics and neurocomputation.

Citation: M. Hutzler, et. al., High-resolution multi-transistor array recording of electrical field potentials in cultured brain slices. Journal of Neuropyhsiology. Preprint online (May 10, 2006). doi:10.1152/jn.00347.2006

Source: Max Planck Institute