Useful Metrics to Facilitate Clinical Application of Resting-state fMRI
Tie-Qiang Li1, Guochun Fu2, and Peter Aspelin3
1Department of Medical Physics, Karolinska University Hospital, Stockholm, Sweden, 2Department of CLINTEC, Karolinska Institute, Stockholm, Sweden, 3Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
Resting-state
fMRI is useful for studying functional networks in the human brain and the
abnormalities associated with various neuropsychiatric disorders. However, a
lack of quantitative metrics closely associated with underlying
neurophysiological characteristics has made its translation to clinical
settings difficult. In this study, we propose two voxel-based metrics, namely
the functional connection counter index (CCI) and connection strength index
(CSI). These metrics depicts high contrast between
different brain tissues and can be used for quantitative data-driven analysis to
detect changes in functional connectivity related to neuropathology.
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