How to measure functional connectivity (FC) in the brain? A comprehensive empirical exploration of connectivity metrics
Wed, Mar 27
|Virtual Event
This 1-hour presentation will cover: 1) Empirical comparison of different metrics measuring FC 2) Presentation of theoretical framework of FC developed by Reid et al. (2019) 3) Emerging role of brain perfusion measured by Arterial Spin Labeling 4) Digression: Introduction to Bayesian statistics
Time & Location
Mar 27, 2024, 8:30 a.m. – 9:30 a.m. PDT
Virtual Event
Guests
About the event
Functional connectivity in the context of functional magnetic resonance imaging is typically quantified by Pearson´s or partial correlation between regional timeseries of the blood oxygenation level dependent signal. However, a recent interdisciplinary methodological work by Cliff et al. (2023) proposes more than 230 different metrics to measure similarity between different types of timeseries. Hence, we systematically evaluated how the results of typical research approaches in functional neuroimaging vary depending on the functional connectivity metric of choice. We further explored which metrics most accurately detect biologically plausible neural decline induced by age, malignant brain tumors, or chronic schizophrenia.
We addressed both research questions using four independent neuroimaging datasets (HCP-Aging, Mind-Brain-Body, Clinical Deep Phenotyping, and Brain Tumor Connectomics), comprising multimodal data from a total of 1187 individuals. We analyzed resting-state functional sequences to calculate functional connectivity based on 20 representative metrics from four distinct mathematical categories. We further used T1- and T2-weighted…