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Alterations in CSF flow patterns have been implicated in various brain disorders. At low b-values, diffusion-weighted imaging is sensitive to pseudorandom CSF flow. Here, we present CSF pseudo-diffusion spatial statistics (CΨSS), a whole-brain multi-subject voxel-wise analysis framework that exploits low-b-value diffusion-weighted imaging to study regional patterns of CSF flow. Using this technique, we show how brain atrophy and ventricular volumes affect regional CSF pseudorandom flow. In conclusion, CΨSS is a simple and effective approach for characterizing determinants of regional CSF pseudorandom flow.
Nazeri et al. (Wed,) studied this question.