How We Know Where We Are

Intracranial EEG reveals the signature of specific spatial locations.

Knowing where we are and remembering routes that we’ve walked are crucial skills for our everyday life. In order to identify neural mechanisms of spatial navigation, RUB researchers headed by Prof Dr Nikolai Axmacher, together with colleagues from Bonn, analysed the relevant processes with the aid of an electroencephalography (EEG) monitored directly in the brain. Thus, they identified the neural signature during learning and remembering of specific spatial locations. Their report was published in the current edition of Current Biology.

Distributed and local activity patterns in spatial navigation

How do we know where we are at any given moment? How do we remember routes that we’ve walked? Spatial navigation has long been a subject of psychological and brain research. “It is likely that there is more than one spatial navigation mechanism; rather, the brain uses different ‘codes’ to memorize locations,” says Nikolai Axmacher. In their current study, the RUB scientists and their colleagues at the Department for Epileptology in Bonn analysed distributed and local activity patterns during spatial navigation.

The image shows a path map and two brain images.
The path through a virtual house with five rooms. Similar activity patterns are observed during learning and remembering of specific spatial locations. Electrodes where activity levels are high during learning (warm colours) also show high activity levels during retrieval; electrodes with low activity levels during learning (cold colours) show low activity levels during retrieval. Image credit: AG Axmacher/Current Biology.

Memorizing paths in virtual houses

Ten epileptic patients participated in the study; EEG electrodes were implanted directly in their brains as part of a surgical procedure. During EEG monitoring, the patients were asked to memorise paths through virtual houses and to remember those paths afterwards. The researchers thus successfully identified the neuronal signature during learning and remembering of specific spatial locations. “Distributed and local activity patterns appear to be related: the brain regions that contributed to distributed spatial representations also contained fairly precise information on a local scale,” explains Nikolai Axmacher. “The accuracy of spatial representations was rather variable; interestingly, more reliable representations occurred if the brain’s overall activity in a rapid frequency range was comparatively low.” These results suggest that spatial navigation is particularly successful if other, irrelevant activities can be suppressed. “Just how important the question of the neuronal basis of spatial navigation is became apparent last year,” elaborates the researcher: “All three Nobel Prizes in Medicine were awarded to scientists who conducted research in this field.”

About this spatial navigation research

Munjal Acharya, Lori-Ann Christie, Vahan Martirosian, Nicole N. Chmielewski, Nevine Hanna, Katherine Tran, Alicia Liao and Vipan Parihar of UCI contributed to the study, which was funded by the National Institutes of Health (grant R01 NS074388581) and supported by UCI’s Institute for Clinical & Translational Science.

Contact: Nikolai Axmacher – RUB
Source: RUB press release
Image Source: The image is credited to AG Axmacher/Current Biology and is adapted from the RUB press release
Original Research: Abstract for “Gamma Power Reductions Accompany Stimulus-Specific Representations of Dynamic Events” by Hui Zhang, Juergen Fell, Bernhard P. Staresina, Bernd Weber, Christian E. Elger and Nikolai Axmacher in Current Biology. Published online February 12 2015 doi:10.1016/j.cub.2015.01.011

Share this Psychology News
Join our Newsletter
I agree to have my personal information transferred to AWeber for Neuroscience Newsletter ( more information )
Sign up to receive our recent neuroscience headlines and summaries sent to your email once a day, totally free.
We hate spam and only use your email to contact you about newsletters. You can cancel your subscription any time.