Multimodal precision neuroimaging of the individual human brain at ultra-high field

Donna Gift Cabalo Presenter
McGill University
McGill University
Montreal, Quebec 
Canada
 
Monday, Jun 24: 5:45 PM - 7:00 PM
1293 
Oral Sessions 
COEX 
Room: ASEM Ballroom 202 
Neuroimaging has advanced our understanding of the human brain by allowing non-invasive examination of brain structure and function. Nevertheless, human MRI research has predominantly centred around group-averaged data, which limits the specificity and clinical utility that MRI can offer[1]. Precision neuroimaging facilitates individualized mapping of brain structure and function through the use of repeated and prolonged scans[1]. A dense sampling of fMRI allows for detailed and reliable characterization of individual brain states and heteromodal networks[2]. Structural MRI's specificity can be augmented by using multiple quantitative MRI sequences, providing microstructural parameters characterizing inter-regional heterogeneity and inter-individual differences. Harnessing ultra-high field (UHF) neuroimaging at magnetic field strengths of 7 Tesla, can further enhance spatial and temporal resolution and is often imperative for precise mapping of highly susceptible and deep structures[3, 4]. Several initiatives have generated open-source UHF datasets; however, these focused either on functional[4] or structural sequences[3]. Here, we describe a multimodal precision neuroimaging dataset that capitalized on multiple sessions 7T MRI.