Shella Keilholz1
1Emory University, United States
Synopsis
Resting state fMRI studies in humans can be difficult to
interpret because the BOLD signal is affected by neural activity, metabolism,
and hemodynamics. Multimodal preclinical studies in rodents can guide the
interpretation of resting state fMRI studies in humans. This educational course
will describe features of rs-fMRI that are conserved across species, compare
and contrast acquisition and analysis methods, and describe tools that can be
used for investigating the neurophysiology behind rs-fMRI in rodents.
The spontaneous
blood oxygenation level dependent (BOLD) fluctuations detected using resting
state magnetic resonance imaging (rs-fMRI) are the basis for functional
connectivity, functional networks, functional connectivity gradients, and
graph-based analyses of the brain’s functional architecture. Rs-fMRI is
noninvasive, does not require task performance, and has a balance of spatial
and temporal resolution that is well-suited to macroscale brain activity. More
than 2700 publications related to rs-fMRI appear for 2021 alone (Pubmed), in
areas ranging from cognition to psychiatric or neurological disorders.
BOLD is an
integrative signal that reflects neural activity, metabolism, and hemodynamics,
which often makes it challenging to interpret changes observed in clinical
population. For example, a general decrease in functional connectivity in
Alzheimers patients could arise from a loss of coordinated activity across brain
areas, a disruption of neurovascular coupling, or both. In rodents, however,
rs-fMRI can be combined with invasive measurements and manipulations that can
shed light on the neurophysiology underlying BOLD fluctuations in healthy brains
and the alterations that are observed in neurological or psychiatric
conditions. This educational course will describe rs-fMRI features that are
conserved across rodents and humans, and discuss commonalities and differences
in image acquisition and processing. Tools for probing and manipulating functional
connectivity in rodents will be discussed, with example studies that demonstrate
how multi-modal preclinical imaging can inform the interpretation of rs-fMRI in
humans.Acknowledgements
No acknowledgement found.References
No reference found.