Publications by authors named "Ishita Rai Bansal"
Article Synopsis
- Resting-state BOLD signals from fMRI are essential for assessing neural activity in neurological conditions, but require effective noise-filtering techniques to ensure accurate analysis.
- Various preprocessing methods exist to address known noise sources (like motion and heartbeats), but unknown noise can still affect data quality.
- The proposed autoregressive fractional integrative process filters have been shown to model BOLD signals effectively while preserving essential high-frequency information, with results indicating minimal impact on key neuroscience metrics.
