AI Article Synopsis
- A study by Jamadar and others looked at how different ways of scanning the brain can show us how different parts are connected and work together.
- They used three methods: one measuring brain activity over time (fMRI), another measuring the brain's energy usage in short clips (fPET), and the last one looking at fixed images of energy usage (sPET).
- The authors of this summary agree with the study's methods but want to share their thoughts on how we understand these different types of scans and suggest more research is needed to get better at figuring out brain connections using these methods.
Article Abstract
Recently, Jamadar et al. (2021, Metabolic and hemodynamic resting-state connectivity of the human brain: a high-temporal resolution simultaneous BOLD-fMRI and FDG-fPET multimodality study. Cereb Cortex. 31(6), 2855-2867) compared the patterns of brain connectivity or covariance as obtained from 3 neuroimaging measures: 1) functional connectivity estimated from temporal correlations in the functional magnetic resonance imaging blood oxygen level-dependent signal, metabolic connectivity estimated, 2) from temporal correlations in 16-s frames of dynamic [18F]-fluorodeoxyglucose-positron emission tomography (FDG-PET), which they designate as functional FDG-PET (fPET), and 3) from intersubject correlations in static FDG-PET images (sPET). Here, we discuss a number of fundamental issues raised by the Jamadar study. These include the choice of terminology, the interpretation of cross-modal findings, the issue of group- to single-subject level inferences, and the meaning of metabolic connectivity as a biomarker. We applaud the methodological approach taken by the authors, but wish to present an alternative perspective on their findings. In particular, we argue that sPET and fPET can both provide valuable information about brain connectivity. Certainly, resolving this conundrum calls for further experimental and theoretical efforts to advance the developing framework of PET-based brain connectivity indices.
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| http://dx.doi.org/10.1093/cercor/bhab271 | DOI Listing |
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