P
Priti Balchandani
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 86
Citations - 1343
Priti Balchandani is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Magnetic resonance imaging. The author has an hindex of 14, co-authored 68 publications receiving 875 citations. Previous affiliations of Priti Balchandani include Mount Sinai Health System & Stanford University.
Papers
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Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals
Prantik Kundu,Valerie Voon,Priti Balchandani,Michael V. Lombardo,Benedikt A. Poser,Peter A. Bandettini +5 more
TL;DR: Evidence is shown that the multi‐echo approach expands the range of experiments that is practicable using fMRI, and a compelling future role of the multi-echo approach in subject‐level and clinical fMRI is suggested.
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Ultra-High-Field MR Neuroimaging
TL;DR: Improved imaging methods may be applied to detect subtle anatomic, functional, and metabolic abnormalities associated with a wide range of neurologic disorders, including epilepsy, brain tumors, multiple sclerosis, Alzheimer disease, and psychiatric conditions.
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Quantification of perivascular spaces at 7 T: A potential MRI biomarker for epilepsy
Rebecca Feldman,John W. Rutland,Madeline C. Fields,Lara V. Marcuse,Puneet Pawha,Bradley N. Delman,Priti Balchandani +6 more
TL;DR: These findings suggest that epilepsy may be associated with significantly asymmetric distribution of PVSs in the brain, and the region of maximal asymmetry of the P VSs may help provide localization or confirmation of the seizure onset zone.
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Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review
TL;DR: A systematic review of the PubMed database since 1990 concerning MRI appearance and tumor consistency found that T2-weighted MRI is currently recommend for predicting consistency, which has been shown to correlate well with analysis of tumor histological subtype.
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Neural correlates of rumination in major depressive disorder: A brain network analysis.
Yael Jacob,Laurel S. Morris,Kuang-Han Huang,Molly Schneider,Sarah B Rutter,Gaurav Verma,James W. Murrough,Priti Balchandani +7 more
TL;DR: Higher rumination was associated with reduced precuneus strength in depression and overall rumination related to lower connectivity within the DMN.