Publications by authors named "Ishita 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.
COVAN Leading to ESKD Despite Minimal COVID Symptoms.
J Investig Med High Impact Case Rep
April 2022
We report a case of dialysis dependence in a patient with COVID-19-associated nephropathy (COVAN) who had minimal respiratory manifestations. A 25-year-old man with a history of multiple sclerosis in remission presented with mild dyspnea due to COVID-19 pneumonia and was found to have rapidly worsening kidney function. He only required nasal cannula and was able to be weaned off within a few days.
View Article and Find Full Text PDFThe latest addition to the family of Coronaviruses, SARS-CoV-2, unleashed its wrath across the globe. The outbreak has been so rapid and widespread that even the most developed countries are still struggling with ways to contain the spread of the virus. The virus began spreading from Wuhan in China in December 2019 and has currently affected more than200 countries worldwide.
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