The role of cortico-basal ganglia circuits in health and disease

Dnr:

SNIC 2017/1-218

Type:

SNAC Medium

Principal Investigator:

Per Petersson

Affiliation:

Lunds universitet

Start Date:

2017-06-01

End Date:

2018-06-01

Primary Classification:

30105: Neurovetenskaper

Webpage:

http://www.med.lu.se/expmed/integrative_neurophysiology

Allocation

Abstract

One of the greatest scientific challenges of our time is to start unraveling the immense complexity of our own brain. Indisputably, impressive progress has been made towards mapping the biochemical connectivity of different circuits in the brain during the last few decades. However, when it comes to actually beginning to decode the information processing of neuronal circuits in the intact brain we have so far only taken the very first steps towards even a basic description. The main reasons being, that not only are the experiments required to address these questions technically very challenging but in addition the software tools necessary to analyze neuronal signals need to be created in a joint effort by medical researchers and engineers/physicists. Consequently, in the intersection between the field of neurophysiology and engineering sciences an interdisciplinary area focusing on these research questions has lately emerged – sometimes referred to as Neuroengineering or Neurotechnology. We have recently formed a new research group at the Medical faculty in Lund: “The unit for Integrative Neurophysiology and Neurotechnology” and are planning to work within this exciting and rapidly expanding field. The suggested research project is focused on a few specific aims central to the field of neuroengineering relating to: 1) How the healthy nervous system controls motor actions, which is a key question for the future design of more advanced prosthetic devices and 2) How the control of movements is afflicted in motor disease, which is an area where accelerated technical development promises to bring new diagnostic tools to the clinic. Extending on our previous work, we now intend to implement more computationally demanding methods to calculate power spectra For this reason we here apply for Medium size allocation.