Exploring temporal and layer-specific response properties of tonotopically organized auditory cortical areas using a novel approach in EEG-fMRI data fusion

Scalp-recorded electro- and magneto-encephalographic (E/MEG) responses represent a direct measure of neuro-electric activity, which, unlike fMRI responses, have essentially unlimited temporal resolution. At the same time, cortical E/MEG responses reflect aggregate contributions from multiple closely spaced sources, which can reinforce or cancel depending on their orientations along the folded cortical surface, creating a high degree of interindividual variability unrelated to the actual underlying activation strength. The high variability of cortical E/MEG responses is recognized as one of the main reasons why these responses – unlike their peripheral or subcortical counterparts (e.g., auditory brainstem responses) – have so far failed to acquire any significant clinical role.

This project will seek to address this problem by developing a new approach for mapping cortical auditory-evoked EEG responses to their contributing sources within individual auditory cortical areas. The approach will involve combining auditory-evoked EEG responses with high-resolution tonotopic functional magnetic resonance imaging (fMRI) data. It will enable us, for the first time, to characterize the responses’ temporal and adaptational properties within specific auditory cortical areas and across cortical layers, and to explore how these properties may change as a result of hearing loss and aging.

This project would be particularly well-suited for graduates from technical/computational backgrounds (e.g., physics/engineering) with a strong interest in interdisciplinary research. You will join a large and vibrant research cluster and benefit from strong supervisory and peer support. You will learn how to record and analyse EEG and fMRI data using cutting-edge computational and statistical tools. You should have, or expect to obtain, a 1st- or 2.1-class bachelor’s, or a master, degree in a relevant scientific discipline, be self-driven and highly motivated, and have excellent communication and team-working skills. You should be eligible to apply for relevant research clearances that will be required including a check with the Disclosure and Barring Service.

Informal enquiries may be addressed to Dr Katrin Krumbholz [Email Address Removed] 

 How to apply:

Please email [Email Address Removed] with the following documents and put “Dr Katrin Krumbholz advertised NIHR Nottingham BRC PhD studentship” in the email title: 

        A C.V. (maximum 2 pages)

·       Degree certificate and transcript (if already graduated) or a recent transcript

·       An up-to 800-word personal statement (maximum excluding references) about why you are interested in doing this PhD, how the ideas outlined align with your interests and experiences, and any specific ideas for research projects you may have in this area