Award details

Interactions of the parietal cortex during cognition and sleep

Reference	BB/G006687/1
Principal Investigator / Supervisor	Professor Matt Jones
Co-Investigators / Co-Supervisors
Institution	University of Bristol
Department	Physiology and Pharmacology
Funding type	Research
Value (£)	358,394
Status	Completed
Type	Research Grant
Start date	01/01/2009
End date	31/12/2012
Duration	48 months

Abstract

Complex behaviour requires interactions between networks of neurons across numerous brain regions. Beyond studying single brain structures in isolation, it is therefore critical to understand how coordinated neuronal activity reflects and mediates functional connectivity, allowing specialized structures to both encode information independently and to interact selectively. We use state-of-the-art electrophysiological techniques in behaving rodents to directly address the nature of such encoding and interactions at cellular, synaptic and neuronal network levels. This project will centre on simultaneous recordings of multiple single neuron and local field potential activity from the hippocampus (HPC), prefrontal cortex (PFC) and parietal cortex (PC) in rats performing spatial learning and decision-making tasks. Lesion, single neuron recording and functional imaging studies in rodents, primates and humans implicate the PC in a broad range of cognitive processes, yet the precise nature of parietal activity and interactions at network and systems levels is unresolved. How does activity in these three structures differ during a given task? How do PC and PFC interact with one another and with other brain regions like the hippocampus involved in cognitive processing? We will be the first to address these issues directly by recording neuronal network activity simultaneously from PC, PFC and HPC as rats perform cognitive tasks involving rule learning, spatial navigation and decision-making. We expect to show that HPC-PC-PFC activities become more tightly correlated during behaviours requiring integration of spatial and mnemonic information to guide motor responses. We also hope to reveal differences between PFC and PC activities, which we expect to reflect working memory and motor intention respectively. These data will therefore shed light on the fundamental nature of information coding, sharing and integration in the brain.

Summary

Next time you find yourself staring at the back of a taxi driver's head, remember that as well as learning and remembering all those routes, he needs to be processing all the visual information rushing through the windscreen, following the commands you bark from the rear seat, obeying road traffic regulations, controlling the sharp jabs of his feet on accelerator and brake, and chatting excitedly about the football results. All that takes a lot of brain, and the simultaneously active specialised brain structures that deal with vision, hearing, rule learning, decision-making, movement, language and emotion must somehow coordinate their activities and interactions with one another. Decoding how these networks of neurons are coordinated across multiple brain regions during complex behaviour presents a considerable challenge requiring the latest technology. But rising to meet this challenge is essential: breakdowns of this coordination give rise to devastating diseases like schizophrenia and depression. Our approach to addressing this challenge is quite direct: we use bundles of extremely fine electrodes to record the electrical activity produced by hundreds of brain cells ('neurons') in the brains of rats and mice as they navigate their way around mazes in search of chocolate, like miniature taxi drivers. The electrodes used are approximately one tenth as wide as the average human hair, and up to 128 of them can be monitored simultaneously, 32,000 times per second. Since these electrodes can record simultaneously from multiple neurons in multiple brain structures, this technology allows us to monitor the activity of hundreds of neurons, and hence their interactions underlying behaviour. A striking feature of brain activity in rodents and taxi drivers alike is its rhythmicity: the electrical signals that neurons use to communicate with one another wax and wane at a range of different frequencies, a bit like the different wavelengths on your radio. We have recentlyshown that when certain brain structures need to share information (for example, 'Where have I just been and what are the rules at the next junction?'), they 'tune in' to one another by aligning their activities at a specific frequency band. However, we have only shown this for two brain structures - and it takes more than two brain structures to make a decision and guide your behaviour accordingly. This project aims to extend this work into a third brain structure called the 'parietal cortex'. People with damage to their parietal cortex are impaired at navigating around their environment, and tend to have short attention spans and unreliable memory. Records from the parietal cortex of monkeys have found that its neurons seem to encode complex signals like plans; a given neuron fires, for example, every time the monkey plans to reach its arm to the left. Clearly the parietal cortex is dealing with some useful information, but how does it share this information with the rest of the brain? Using our multi-site recordings in rats, we are going to see how parietal activity 'tunes in' with activity elsewhere in the brain as rats try to figure out where their next chocolate treat is coming from. We are also going to see if this 'tuning in' carries on during sleep, when it might relate to strengthening memories acquired during wakefulness (e.g. a recent study in Germany showed that rhythmical stimulation of volunteers' brains during sleep improved their memories of previously learned facts). Understanding the parietal cortex's interactions and functions will add another essential piece to the enormously complex jigsaw puzzle that is our brains. Modern technology and analysis is making this puzzle solvable; projects like this are therefore essential to both our understanding of normal brain function, and to understanding how brains go wrong during complex psychiatric diseases like schizophrenia.

Committee	Closed Committee - Animal Sciences (AS)
Research Topics	Neuroscience and Behaviour
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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