Integrating high resolution anatomy, structural and functional connectivity at 7T: Towards biomarkers for neurodegenerative diseases
Functional magnetic resonance imaging (fMRI) is an important tool for investigating functional networks of the human brain. In a resting state, significant activity is seen in functionally connected areas known as resting state networks (RSNs). To date no clear correlation has been found between the neural and electrophysiological processes within the RSNs identified in fMRI, likely due to methodological limitations. Here, we will overcome this by combining fMRI with structural connectivity using diffusion tensor imaging (DTI), and concurrent electroencephalography (EEG) at ultra-high field strength (7T) in a group of patients with neurodegenerative diseases and matched control subjects. This will provide new insights into the functional organization of brain networks and could reveal disease-specific biomarkers to monitor and understand pathological processes affecting functional connectivity.