Title |
Hippocampal and prefrontal processing of network topology to simulate the future
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Published in |
Nature Communications, March 2017
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DOI | 10.1038/ncomms14652 |
Pubmed ID | |
Authors |
Amir-Homayoun Javadi, Beatrix Emo, Lorelei R. Howard, Fiona E. Zisch, Yichao Yu, Rebecca Knight, Joao Pinelo Silva, Hugo J. Spiers |
Abstract |
Topological networks lie at the heart of our cities and social milieu. However, it remains unclear how and when the brain processes topological structures to guide future behaviour during everyday life. Using fMRI in humans and a simulation of London (UK), here we show that, specifically when new streets are entered during navigation of the city, right posterior hippocampal activity indexes the change in the number of local topological connections available for future travel and right anterior hippocampal activity reflects global properties of the street entered. When forced detours require re-planning of the route to the goal, bilateral inferior lateral prefrontal activity scales with the planning demands of a breadth-first search of future paths. These results help shape models of how hippocampal and prefrontal regions support navigation, planning and future simulation. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 59 | 19% |
United States | 52 | 16% |
Canada | 12 | 4% |
Germany | 10 | 3% |
Spain | 9 | 3% |
Australia | 8 | 3% |
Netherlands | 8 | 3% |
Italy | 6 | 2% |
France | 6 | 2% |
Other | 28 | 9% |
Unknown | 120 | 38% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 216 | 68% |
Scientists | 77 | 24% |
Practitioners (doctors, other healthcare professionals) | 20 | 6% |
Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
United States | 2 | <1% |
Germany | 1 | <1% |
Argentina | 1 | <1% |
Netherlands | 1 | <1% |
Spain | 1 | <1% |
Poland | 1 | <1% |
Unknown | 365 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 100 | 27% |
Researcher | 64 | 17% |
Student > Master | 48 | 13% |
Student > Bachelor | 27 | 7% |
Other | 19 | 5% |
Other | 54 | 14% |
Unknown | 62 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 83 | 22% |
Psychology | 56 | 15% |
Agricultural and Biological Sciences | 39 | 10% |
Computer Science | 24 | 6% |
Social Sciences | 17 | 5% |
Other | 73 | 20% |
Unknown | 82 | 22% |