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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