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Abstract #3820

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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