Public Release:  NeuroImage: Multiplexing in the visual brain

RUB Scientists visualize for the first time simultaneous encoding of object orientation and its motion

Ruhr-University Bochum

IMAGE

IMAGE: Visualization of how the primary visual cortex encodes both orientation and retinotopic motion of a visual object simultaneously. As a visual stimulus the scientists used a horizontal grating moving downwards... view more

Credit: Jancke/RUB

This press release is available in German.

"Neurons synchronize with different partners at different frequencies" says Dr. Dirk Jancke, Neuroscientist at the Ruhr-University in Bochum, Germany. A new imaging technique enabled to show that such functioning results in distinct activity patterns overlaid in primary visual cortex. These patterns individually signal motion direction, speed, and orientation of object contours within the same network at the same time. Together with colleagues at the University of Osnabrück, the Bochum scientists successfully visualized such brain multiplexing using a modern real-time optical imaging method that exploits a specific voltage-sensitive dye.

Imaging with voltage-sensitive dye: A method to capture real-time brain dynamics

The dye incorporates in the brain cells' membrane and changes fluorescence whenever these receive or send electrical signals. Hence, high resolution camera systems allow to simultaneously capture activities of millions of nerve cells across several square millimeters across the brain.

First-time visualization of grating pattern motion across the brain surface

As a stimulus the researchers used simple oriented gratings with alternating black-white stripes drifting at constant speed across a monitor screen. These stimuli have been used for more than 50 years in visual neuroscience and still are conventionally applied in medical diagnostics. However, brain activity that signals both the grating's orientation and its motion simultaneously has not been detected so far. Such signals could now be demonstrated for the first time. Note that further computational steps including sophisticated analysis were needed before those smallest brain activity signals became visible.

Cortical mapping of object orientation

Optical imaging became state-of-the-art since it allows fine grained resolution of cortical pattern activity, so-called maps, in which local groups of active nerve cells represent grating orientation. Thereby, a particular grating orientation activates different groups of nerve cells resulting in unique patchy patterns. Their specific map layout encodes actual stimulus orientation.

Transfer of motion information through overlaid activity waves

Jancke: "Our novel imaging method furthermore captures propagating activity waves across these orientation maps. Hence, we additionally observe gratings moving in real-time across the brain. In this way, motion direction and speed can be estimated independently from orientation maps, which enables resolving ambiguities occurring in visual scenes of everyday life." The emerging spatial-temporal patterns could then individually be received and interpreted by other brain areas. To give a picture: a radio gets a permanent stream of broadcasts simultaneously. In order to listen to a particular station one has to choose only the channel to tune. For example, a following brain area might preferentially compute an object's orientation while others process its movement direction or speed simultaneously. In the future, the scientists hope to discover more of the brains real-time action when similar tools are used with increasing stimulus complexity: Naturalistic images are experienced so effortlessly in everyday life. Still it remains an intriguing question how the brain handles such complex data gaining a stable percept every moment in time.

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Title Listing

Onat S, Nortmann N, Rekauzke S, König P, Jancke D (2011). Independent encoding of grating motion across stationary feature maps in primary visual cortex visualized with voltage-sensitive dye imaging. Neuroimage 55: 1763-1770. http://dx.doi.org/10.1016/j.neuroimage.2011.01.004

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